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479 Commits
Author SHA1 Message Date
James R. Barlow 3da952a23d Fix garbled Arabic/Devanagari text by using HarfBuzz text shaping
encode_text() maps unicode characters one-by-one to glyph IDs without
any text shaping, producing incorrect output for complex scripts:
Arabic glyphs in wrong order without joining forms, Devanagari conjuncts
broken apart. Replace with shape_text() which runs HarfBuzz for proper
BiDi reordering, Arabic shaping, and Devanagari conjunct formation.
2026-02-11 01:30:15 -08:00
James R. Barlow 716ce6324c Update dependencies 2026-02-11 00:43:01 -08:00
James R. Barlow 76fe2f7e28 Merge remote-tracking branch 'origin/dependabot/uv/cryptography-46.0.5' 2026-02-11 00:42:21 -08:00
James R. Barlow c85c8941d3 Fix pdftotext word spacing by emitting single BT block per line
poppler/pdftotext does not carry Tz (horizontal scaling) across
BT/ET boundaries, causing words to appear on separate lines.
Replace per-word BT blocks (via fpdf2's cell/set_stretching API)
with a single BT block per line using raw PDF operators. Each
non-last word gets a trailing space with Tz calculated to span
exactly to the next word's start position.
2026-02-11 00:42:10 -08:00
dependabot[bot]andGitHub 9a0dadbd4c Bump cryptography from 46.0.4 to 46.0.5
Bumps [cryptography](https://github.com/pyca/cryptography) from 46.0.4 to 46.0.5.
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/46.0.4...46.0.5)

---
updated-dependencies:
- dependency-name: cryptography
  dependency-version: 46.0.5
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-02-11 02:57:37 +00:00
James R. Barlow 4d7e398c4b Suppress rendering of text lines with improbable aspect ratios
When Tesseract completely fails to detect text rotation (no textangle,
slope=0), it produces garbage text in tall-narrow bounding boxes. Add
an aspect ratio plausibility check that compares the OCR bounding box
shape to the expected shape of the rendered text (accounting for
baseline slope). Lines where the ratio of aspect ratios is < 0.1 are
suppressed.

Uses a fast path (width >= height) to skip the expensive font
measurement for the common case of normal horizontal text.
2026-02-10 17:42:33 -08:00
James R. Barlow 56c0b41f97 Fix extreme font sizes for rotated text in fpdf2 renderer
Tesseract doesn't output the textangle hOCR attribute for 90-degree
rotated text. Instead, the rotation is encoded as extreme baseline
slope values (e.g., 462.2). Without detecting this, the renderer used
the axis-aligned bounding box height as line_size_height, producing
font sizes of 2000+ pt instead of ~10 pt.

Detect steep baseline slopes (|slope| > 1.0, i.e., > 45° from
horizontal) and extract the effective text rotation angle via atan().
The meaningless slope/intercept values are then replaced with
font-metrics-based defaults.
2026-02-10 17:02:25 -08:00
James R. Barlow 5c83dab8a7 Fix fpdf text mode in multi-page renderer; add v17.2.0 release notes
The previous fix (e62e73e4) only corrected text_rendering_mode →
text_mode in the single-page Fpdf2PdfRenderer, but the main OCR
pipeline uses Fpdf2MultiPageRenderer which still had the old
attribute name. Since fpdf2 has no text_rendering_mode property,
setting it silently created a no-op attribute while text_mode stayed
at FILL — so 3 Tr (invisible text) was never emitted.

Fixes #1631, #1632
2026-02-10 14:12:49 -08:00
James R. Barlow e62e73e441 Fix fpdf text mode 2026-02-09 02:05:23 -08:00
James R. Barlow d68e2f6e34 Fix OCR text layer misalignment with non-zero mediabox origins
Fixes #1630 where --redo-ocr would shift OCR text vertically on PDFs
with non-zero mediabox origins (e.g., [0, 100, width, height+100]).

The bug occurred in _graft_fpdf2_text_layer where the Form XObject BBox
was set to the text layer's mediabox [0, 0, w, h] instead of the base
page's mediabox [0, 100, w, h+100]. This caused a coordinate mismatch
between the BBox and the transformation matrix, resulting in text being
positioned incorrectly.

The fix changes line 450 in _graft.py to use base_mediabox instead of
mediabox, making the fpdf2 renderer consistent with the sandwich renderer
which already used base_mediabox correctly.

This issue commonly affected:
- JSTOR PDFs (generated by iText with cropping)
- Cropped PDFs from various tools
- PDFs with non-standard coordinate systems

Added regression test that creates a PDF with offset mediabox origin
and verifies --redo-ocr preserves coordinates correctly.
2026-02-08 23:55:26 -08:00
James R. Barlow 1684982cde Further adjustments to install docs 2026-02-06 17:17:44 -08:00
James R. Barlow 4d97dfd218 Update installation docs for modern tooling
- Prioritize uv over pip throughout, with uv as the recommended installer
- Update repology badges: Debian 13, Ubuntu 24.04, Fedora 40/41
- Make Python 3.12 the default (3.11 still supported)
- Promote Homebrew as full-featured option for macOS and Linux
- Add dependency summary table aligned with maintainers.md
- Document uharfbuzz and fonts-noto requirements
- Remove outdated warnings and simplify 32-bit section
2026-02-05 15:04:12 -08:00
James R. Barlow a35fcc9c43 Handle Ghostscript rasterization with DPI below 10
Ghostscript may fail when asked to rasterize at very low DPI values
(below 10 on either axis). This adds a workaround that uses a minimum
of 10 DPI for the Ghostscript call, then resizes the output image to
match the dimensions that would have resulted from the original low
DPI request.

Fixes #1612
2026-01-31 13:01:04 -08:00
James R. Barlow 3dd4cde7ce Tighten plugin manager return types to non-optional
Make filter_pdf_page, get_ocr_engine, and optimize_pdf return
non-optional types by handling None cases explicitly: raise errors
for required results, return sensible defaults for optional ones.
2026-01-31 12:12:07 -08:00
James R. Barlow 92beb474a5 Normalize unpaper_args to list at construction time
Use a Pydantic field validator to convert string input to list[str]
during OcrOptions construction, simplifying the type from
`str | list[str] | None` to `list[str] | None`. Security validation
(path injection check) now happens at construction rather than in
check_options_preprocessing().
2026-01-31 12:05:37 -08:00
James R. Barlow 9dcd882c83 Use uv to install docs with dependency groups 2026-01-31 00:05:27 -08:00
James R. Barlow 9d8aa5a0c3 v17.1.0 release notes 2026-01-30 16:15:50 -08:00
James R. Barlow e036a902ae Add --tagged-pdf-mode option to control Tagged PDF handling
Allow users to bypass the TaggedPDFError when processing Tagged PDFs
by setting --tagged-pdf-mode=ignore. This is useful when users know
they want to OCR a Tagged PDF despite the warning.

- 'default': Error if --mode is default, otherwise warn (current behavior)
- 'ignore': Always warn but continue processing (never error)
2026-01-30 16:15:43 -08:00
James R. Barlow 0a980fb11b Add Encoding.flate_jpeg to recognize deflated JPEG images
FlateDecode+DCTDecode compressed images are essentially deflated JPEGs,
typically created by OCRmyPDF's optimizer. This change ensures pdfinfo
correctly identifies them and should_visible_page_image_use_jpg treats
them as JPEG-origin images, allowing JPEG output when appropriate.
2026-01-30 12:53:59 -08:00
James R. Barlow 3abe8f71c7 v17.0.1 release notes 2026-01-30 00:15:13 -08:00
James R. Barlow 64f45b7fdb Fix pypdfium type checking 2026-01-30 00:14:02 -08:00
James R. Barlow 7e939ad44d Fix pypdfium rasterizer to respect raster_device colorspace
pypdfium was not converting images to the correct colorspace/mode based
on the raster_device parameter. For example, pngmono should produce a
1-bit image, but pypdfium was outputting full-color or grayscale images.

This caused images to be incorrectly promoted to PNG instead of being
preserved as CCITT/JBIG2 when using --force-ocr with pypdfium, because
the optimizer relies on the image being in the correct mode.

Changes:
- Render in grayscale for pngmono device (better input for 1-bit conversion)
- Add mode conversion to match Ghostscript's native device output:
  - pngmono: convert to mode '1' (1-bit)
  - pnggray/jpeggray: convert to mode 'L' (8-bit grayscale)
  - png256: convert to mode 'P' (8-bit indexed)
  - png16m/jpeg: convert to mode 'RGB'
2026-01-30 00:04:02 -08:00
James R. Barlow 297fb786a0 Update uv.lock (for protobuf) 2026-01-29 18:33:00 -08:00
James R. Barlow ad30dd94f7 Merge branch 'release/v17' 2026-01-29 18:31:11 -08:00
James R. Barlow e77f79ac6f Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2026-01-29 18:30:54 -08:00
James R. Barlow c84fc56e45 Update CLI completions to match current options
Add new options: --mode, --ocr-engine, --rasterizer,
--continue-on-soft-render-error, --tesseract-non-ocr-timeout,
--tesseract-downsample-large-images, --tesseract-downsample-above,
--unpaper-args (fish), --plugin (fish).

Update --output-type to include 'auto' as default.
Update --pdf-renderer to include 'fpdf2' and mark hocr as deprecated.

Remove non-working options: --remove-background, --threshold.
2026-01-29 12:41:56 -08:00
James R. Barlow 0a0756b33e Tidy long lines and unnested with blocks 2026-01-27 15:28:27 -08:00
James R. Barlow c5d3ef4b17 Tighten ruff rules and modernize style 2026-01-27 14:04:52 -08:00
James R. Barlow 6b37583674 Refactor: move ocr_element to a better location 2026-01-27 14:01:30 -08:00
James R. Barlow de5f2b80f0 Further patching-out of fonts 2026-01-21 11:43:54 -08:00
James R. Barlow d951b4f0f7 Improve font fallback checking 2026-01-21 10:38:07 -08:00
James R. Barlow b386d39b3b tests: fix test_page_boxes when verapdf unavailable
The test expected MediaBox preservation for pdfa output, but this only
works when verapdf is available for speculative PDF/A conversion.
Without verapdf (Linux/Windows CI), Ghostscript normalizes the MediaBox.

Also convert pikepdf.Array to list in assertions for clearer error
messages, avoiding pytest repr issues with pikepdf objects.
2026-01-21 00:22:26 -08:00
James R. Barlow ec595a395b tests: little fixes 2026-01-20 23:23:43 -08:00
James R. Barlow bd29269c00 Various test fixes, mainly Windows issues 2026-01-20 22:28:06 -08:00
James R. Barlow 6fb7c5d95f Additional build fixes 2026-01-20 21:49:40 -08:00
James R. Barlow d57552c4f8 test: For Windows, ensure outputs are UTF-8 2026-01-20 21:37:13 -08:00
James R. Barlow f017c982cf watcher: use modern API 2026-01-20 21:25:12 -08:00
James R. Barlow 7ac51ac1a7 Fix type alias for Queue causing runtime TypeError
multiprocessing.Queue is a factory function, not a type, so it cannot
be used with the runtime | union operator. Move Queue, UserInit, and
WorkerInit type aliases into TYPE_CHECKING block to avoid evaluation
at runtime.
2026-01-20 20:38:33 -08:00
James R. Barlow db9f94de14 Ensure Noto font is installed where needed 2026-01-20 19:50:47 -08:00
James R. Barlow 37e7131a01 Drop support for Python 3.10, require Python 3.11+
Python 3.11 is now the minimum supported version. This aligns with
the codebase's use of StrEnum (introduced in 3.11) and removes
compatibility shims that were only needed for older versions.
2026-01-20 11:54:55 -08:00
James R. Barlow bc745d4d81 Replace magic Ghostscript raster device strings with StrEnum 2026-01-20 10:44:25 -08:00
James R. Barlow c818ad5e75 Drop deprecated NeverRaise exception 2026-01-20 10:43:21 -08:00
James R. Barlow 4b16228a4a docs: minor adjustments 2026-01-20 10:41:55 -08:00
James R. Barlow d40fca2590 Add verapdf to build for macOS 2026-01-20 10:41:43 -08:00
James R. Barlow 99f8106936 Update API documentation for OcrOptions-first calling convention
Document the new v17 API style where OcrOptions can be passed directly
to ocr(). Mark the positional argument style as legacy API for <v17
compatibility. Update examples to use modern syntax.
2026-01-20 10:30:33 -08:00
James R. Barlow ef88ba3f95 Add OcrOptions as first-class argument to ocr() function
Allow passing an OcrOptions object directly to ocr() as the first
positional argument, providing a cleaner API for programmatic use.
The old-style API with individual parameters remains fully supported.
2026-01-20 10:20:52 -08:00
James R. Barlow 2f4280b66c Comprrehensive documentation update in preparation for v17 2026-01-16 01:38:47 -08:00
James R. Barlow 6cf9d1c6ee Update release notes 2026-01-15 23:29:29 -08:00
James R. Barlow 6a7164a76c Update release notes with branch changes 2026-01-15 23:25:51 -08:00
James R. Barlow 3f328785f0 Fix pypdfium rasterizer to match Ghostscript dimensions
The pypdfium rasterizer was producing output images that differed by 1
pixel compared to Ghostscript due to floating-point precision issues in
dimension calculations.

Root cause:
- pypdfium used harmonic mean of x/y DPI to calculate a single scale
  factor, losing the distinction between x and y DPI
- No DPI rounding like Ghostscript's 6-decimal precision
- Compound rounding errors when converting points to pixels

Solution:
1. Round DPI to 6 decimals to match Ghostscript's precision
2. Calculate expected output dimensions using separate x/y DPI values
3. Handle dimension swapping for 90°/270° rotations
4. Resize output image if off by 1-2 pixels (graceful correction)

This ensures pixel-perfect matching with Ghostscript while being
minimally invasive and only resizing when necessary.

Changes:
- Modified _render_page_to_bitmap() to calculate expected dimensions
- Modified _process_image_for_output() to correct small discrepancies
- Updated rasterize_pdf_page() to pass dimensions through pipeline
- Parametrized rotation tests to run with both rasterizers

All 45 rotation tests now pass with both pypdfium and ghostscript.

Fixes test_rotated_skew_timeout with pypdfium rasterizer.
2026-01-14 14:37:24 -08:00
James R. Barlow 5acf21651f ruff lint and format 2026-01-13 01:50:57 -08:00
James R. Barlow 7bfe3ecd5b Fix double-compression of already-deflated JPEGs
Images with [FlateDecode, DCTDecode] filter chain were incorrectly
being marked for additional FlateDecode compression, resulting in
double-compressed data and invalid output PDFs.

Add _already_flate_encoded() helper to check if an image already has
FlateDecode in its filter chain, and skip such images in
_find_deflatable_jpeg().
2026-01-13 01:41:59 -08:00
James R. Barlow 5371cc5e39 Update test to match new error messag 2026-01-13 01:33:10 -08:00
James R. Barlow 4c7086c609 Replace typer with cyclopts CLI library in misc scripts
Migrate watcher.py and pdf_text_diff.py from typer to cyclopts for
CLI argument parsing. Update pyproject.toml to reflect the dependency
change in the watcher optional feature.
2026-01-13 00:43:14 -08:00
James R. Barlow bf76c8270c Rationalize optional dependencies vs dependency groups
Establish clear separation between user-facing optional dependencies
and developer-only dependency groups:

**Optional Dependencies (user features):**
- watcher: File watching service for batch processing
- webservice: Streamlit-based web UI
- Installable via: uv sync --extra <name> or pip install ocrmypdf[name]

**Dependency Groups (developer tools):**
- test: Testing infrastructure (merged from test + extended_test)
- docs: Documentation building tools
- streamlit-dev: Enhanced Streamlit development tools
- dev: General development tools (mypy, ipykernel)
- Installable via: uv sync --group <name> (uv only, NOT pip)

Breaking changes for developers:
- pip install -e .[test] no longer works → use uv sync --group test
- pip install -e .[docs] no longer works → use uv sync --group docs
- pip install -e .[extended_test] removed → merged into test group

No breaking changes for end users:
- pip install ocrmypdf[watcher] still works
- pip install ocrmypdf[webservice] still works

Updated:
- CI/CD workflows to use uv sync --group test
- Docker images to exclude test dependencies
- Documentation to recommend uv with pip as fallback
- pyproject.toml with clear comments explaining both systems
2026-01-13 00:34:55 -08:00
James R. Barlow 740f67091c Rename OCROptions to OcrOptions for consistency
Technically OCROptions is more Pythonic but we have several pre-existing classes named OcrWhatever. Go with the local flow.
2026-01-12 23:37:54 -08:00
James R. Barlow 36dea181e6 Update cookbook: Replace --tesseract-timeout 0 with --ocr-engine none
Update documentation examples to use the new --ocr-engine none option
instead of the deprecated --tesseract-timeout 0 idiom for disabling OCR.
2026-01-12 23:28:14 -08:00
James R. Barlow c69f293322 Add --mode/-m CLI argument with ProcessingMode enum
Introduce a new --mode (-m) argument that consolidates the three
mutually exclusive OCR processing options into a single enum:
- default: Error if text is found (standard behavior)
- force: Rasterize all content and run OCR (replaces --force-ocr)
- skip: Skip pages with existing text (replaces --skip-text)
- redo: Re-OCR pages, stripping old text layer (replaces --redo-ocr)

The legacy flags --force-ocr, --skip-text, and --redo-ocr remain as
silent aliases for backward compatibility. Both CLI and API usage
continue to work unchanged.
2026-01-12 15:23:08 -08:00
James R. Barlow e9fe061c30 Format fix 2026-01-12 10:25:24 -08:00
James R. Barlow c9ea07e954 Reduce chattiness of fonttools 2026-01-12 10:16:58 -08:00
James R. Barlow 0c3745a1a4 Add OCR engine selection framework and null OCR engine
Introduce --ocr-engine option to select between OCR engines:
- 'auto' (default): Uses Tesseract
- 'tesseract': Explicit Tesseract selection
- 'none': Skip OCR entirely (for PDF processing only)

Key changes:
- Extend OcrEngine ABC with generate_ocr() and supports_generate_ocr()
  for direct OcrElement tree output (bypasses hOCR)
- Add get_ocr_engine(options) hook parameter for engine selection
- Implement NullOcrEngine for --ocr-engine none
- Export OcrElement, OcrClass, BoundingBox from ocrmypdf package
- Add ocr_tree support to grafting pipeline

This prepares the foundation for pluggable OCR engines while maintaining
full backward compatibility with existing Tesseract-based workflows.
2026-01-12 10:11:14 -08:00
James R. Barlow 664c3e2a8e Update test cache for slow rotation tests 2026-01-10 16:30:25 -08:00
James R. Barlow 315d0df0e9 Fix incorrect rotation direction in pypdfium rasterizer
pypdfium2 expects clockwise rotation values, but OCRmyPDF tracks
rotation in counter-clockwise. Negate the rotation value to fix.

Also refactor nested try/finally blocks to use contextlib.closing()
for cleaner resource management.
2026-01-10 16:29:49 -08:00
James R. Barlow 3c94ada857 Fix tesseract_cache plugin to properly handle cache misses
- Check all required output files exist before declaring cache hit,
  not just stderr.bin
- Add 'hocr' to list of cached output file types
- Fix timeout=0.0 causing immediate timeout on cache miss by treating
  it as "no timeout"
2026-01-09 02:10:29 -08:00
James R. Barlow fcbdbac602 Update test_page_boxes MediaBox expectations for speculative PDF/A
When speculative PDF/A succeeds (verapdf available), Ghostscript is
bypassed and MediaBox is preserved rather than normalized to origin.
2026-01-09 01:25:31 -08:00
James R. Barlow 122450c19e Fix Ghostscript tests after default output type changed to 'auto'
- Add --output-type pdfa to tests that exercise Ghostscript-specific
  behavior (test_gs_render_failure, test_ghostscript_pdfa_failure,
  test_ghostscript_mandatory_color_conversion)
- Add Gs106WarningFilter to suppress expected Ghostscript 10.6.x JPEG
  encoding warning in test logs
2026-01-09 01:02:25 -08:00
James R. Barlow 0c4ee5af4e Add 'auto' output type for best-effort PDF/A without Ghostscript
- Add new '--output-type auto' option (now the default) that produces
  best-effort PDF/A without requiring Ghostscript
- When verapdf is available, use speculative PDF/A conversion
- Without verapdf, pass through as PDF/A if safe (input claims PDF/A
  or --force-ocr was used), otherwise output as regular PDF
- Make Ghostscript check conditional - only required for pdfa* output types
- Update soft error tests to explicitly use --output-type pdfa since they
  exercise Ghostscript failure modes
- Fix Tesseract OSD error handling to check both stdout and stderr for
  known non-fatal messages like "Too few characters"
2026-01-09 00:56:00 -08:00
James R. Barlow bdc50e9470 Add explicit word spacing for pdfminer.six compatibility
Insert space characters between words in the fpdf2 renderer so PDF
readers like pdfminer.six can properly segment words during text
extraction. Some PDF readers rely on explicit space characters rather
than inferring word boundaries from positioning.

- Use itertools.pairwise to iterate consecutive word pairs
- Render space immediately after each word (content stream order matters)
- Skip space insertion between CJK words (no spaces in CJK text)
- Use 5% line height threshold to filter OCR noise
- Support RTL text direction
2026-01-08 16:32:14 -08:00
James R. Barlow 4cb488d0fc Skip speculative PDF/A when --pdfa-image-compression is set
When the user explicitly sets --pdfa-image-compression to something
other than 'auto', skip the speculative PDF/A conversion and use
Ghostscript instead. The speculative conversion (using pikepdf +
verapdf) doesn't apply image compression settings, so Ghostscript
is required to honor the user's compression preference.
2026-01-08 15:12:35 -08:00
James R. Barlow bb5238e524 Update tests to use new OcrmypdfPluginManager interface
Replace pm.hook.method() calls with pm.method() calls to match the
refactored plugin manager that now uses composition over inheritance.
The hook attribute is no longer directly exposed; instead, type-safe
methods are provided directly on the plugin manager class.
2026-01-08 13:09:19 -08:00
James R. Barlow 900a60fd10 Add verapdf integration for speculative PDF/A conversion
Introduce a fast path for PDF/A conversion that uses pikepdf to add
PDF/A structures directly (sRGB ICC profile and XMP metadata), then
validates with verapdf. If validation passes, skip Ghostscript entirely.
If validation fails or verapdf is unavailable, fall back to the existing
Ghostscript conversion path.

New files:
- src/ocrmypdf/_exec/verapdf.py: CLI wrapper for verapdf validator
- tests/test_verapdf.py: Test suite for new functionality

Modified:
- pdfa.py: Add speculative_pdfa_conversion() and helpers
- _pipeline.py: Add try_speculative_pdfa() function
- _pipelines/_common.py: Integrate speculative path into postprocess()
2026-01-08 10:58:01 -08:00
James R. Barlow f5617ce44e Refactor OcrmypdfPluginManager to use composition over inheritance
Replace inheritance from pluggy.PluginManager with composition pattern,
providing a type-safe interface for all 16 hooks defined in pluginspec.py.
The underlying pluggy manager is now accessible via the .pluggy property
for advanced use cases like set_blocked().

This change enables IDE autocomplete and type checking for all hook calls
while maintaining full backward compatibility with the plugin system.
2026-01-07 17:23:13 -08:00
James R. Barlow 0e946a7498 Clarify messageabout number of workers 2026-01-07 16:41:18 -08:00
James R. Barlow b2b6a7c4b1 Pass OMP_THREAD_LIMIT to Tesseract subprocesses instead of modifying parent env
Instead of setting OMP_THREAD_LIMIT in the parent process's environment,
calculate the thread limit in the validate hook and pass it through to
Tesseract subprocess calls via the env parameter. This avoids polluting
the parent process's environment while still controlling Tesseract's
thread usage.
2026-01-06 18:43:29 -08:00
James R. Barlow 75c664793e Don't share claude 2026-01-06 15:42:51 -08:00
James R. Barlow bbd263ff48 Add tests for fpdf2 renderer and font infrastructure
- Add hOCR test fixtures for Latin, Arabic, CJK, Devanagari scripts
- Add tests for fpdf2 renderer, multi-font manager, system font provider
- Add multilingual rendering tests
- Update existing tests to use fpdf2 renderer
2026-01-06 13:46:11 -08:00
James R. Barlow 7a4b98974c Integrate fpdf2 renderer and remove legacy hOCR renderer
- Update pipeline to use fpdf2 renderer as default
- Remove legacy hocrtransform PDF renderer (_font.py, _hocr.py,
  pdf_renderer.py)
- Update CLI and options for fpdf2 renderer
- Add fpdf2 dependency to pyproject.toml
- Update graft module for fpdf2 multi-page rendering
2026-01-06 13:45:44 -08:00
James R. Barlow d72a494979 Add fpdf2-based PDF text layer renderer
Implement new PDF renderer using fpdf2 library that provides:
- Multilingual text support via font module
- Proper baseline and rotation handling
- Multi-page rendering with efficient font embedding
- Invisible but selectable text layer
2026-01-06 13:45:14 -08:00
James R. Barlow 64726f97b3 Add font infrastructure and glyphless font
- Add font module with FontManager, FontProvider, MultiFontManager,
  and SystemFontProvider for multilingual font support
- Add NotoSans-Regular.ttf for Latin text rendering
- Replace pdf.ttf with Occulta.ttf glyphless font
- Add script to generate new Occulta glyphless font
- System font discovery for CJK, Arabic, Devanagari scripts
2026-01-06 13:44:54 -08:00
James R. Barlow 83a43408c2 Refactor tesseract thresholding to use enum type
Replace integer-based thresholding parameter with ThresholdingMethod
enum for improved type safety. The CLI still accepts the same string
values (auto, otsu, adaptive-otsu, sauvola) but internally uses a
strongly-typed enum. This makes the code more maintainable and catches
type errors at development time.
2025-12-27 13:32:56 -08:00
James R. Barlow 2cb0973540 Improve Ghostscript API/CLI definitions 2025-12-27 01:40:12 -08:00
SuperCowProductsandGitHub 8930efe787 Update README with Fedora installation instructions (#1610)
Added instructions for Fedora users to install Tesseract language packs.
2025-12-27 01:15:45 -08:00
James R. Barlow 0d6e0c4560 Merge branch 'main' into dev 2025-12-24 00:44:18 -08:00
James R. Barlow 94d7735862 docs: missing issue ref 2025-12-24 00:14:24 -08:00
James R. Barlow c540967429 docs: Update release notes 2025-12-23 15:44:44 -08:00
James R. Barlow 195344d307 Reinstate "Work around Ghostscript 10.6.0 JPEG encoding issue by forcing optimization.""
This reverts commit fc30cb8903.
It turns out that both fixes were necessary.
2025-12-23 15:41:34 -08:00
James R. Barlow de63d6eac9 Merge remote-tracking branches 'origin/dependabot/github_actions/actions/download-artifact-7', 'origin/dependabot/github_actions/actions/upload-artifact-6', 'origin/dependabot/github_actions/sigstore/gh-action-sigstore-python-3.2.0' and 'origin/dependabot/github_actions/actions/checkout-6' 2025-12-23 15:06:50 -08:00
James R. Barlow 6ada11ddae docs: Update release notes 2025-12-23 15:05:49 -08:00
James R. Barlow fc30cb8903 Revert "Work around Ghostscript 10.6.0 JPEG encoding issue by forcing optimization."
This reverts commit f4c6c8121b.

The issue is now resolved by correcting the encoidng issue directly.
2025-12-23 15:03:51 -08:00
James R. Barlow 01a3706281 docs: Add release notes for v16.13.0 2025-12-23 15:01:22 -08:00
James R. Barlow e613db6a82 Fix Ghostscript 10.6 JPEG corruption by repairing truncated images
Ghostscript 10.6 has a bug that truncates JPEG data by 1-15 bytes.
This adds detection and repair by comparing output images to input
images and restoring the original bytes when truncation is detected.

- Add warning when GS 10.6+ is used with PDF/A output
- Add _repair_gs106_jpeg_corruption() to fix damaged JPEGs after
  Ghostscript processing
- Add unit tests for the repair function
2025-12-23 14:56:24 -08:00
James R. Barlow 742a4bac17 Make rotation test more robust 2025-12-23 11:20:57 -08:00
James R. Barlow 4c1ef0b471 Also process art and bleed boxes 2025-12-23 11:20:41 -08:00
James R. Barlow eace567f7b Test and fix page box issues 2025-12-23 11:19:51 -08:00
James R. Barlow e9bfce34f1 Fix ruff linting issues
- Use X | Y syntax in isinstance calls (UP038)
- Remove trailing whitespace from blank lines (W293)
2025-12-23 03:07:48 -08:00
James R. Barlow 16c2604a07 Remove lossy JBIG2 support, retain lossless JBIG2 only
Lossy JBIG2 has been removed due to well-documented risks of character
substitution errors (e.g., 6/8 confusion). The --jbig2-lossy and
--jbig2-page-group-size arguments are now deprecated and ignored with
a warning.

Changes:
- Remove jbig2_lossy and jbig2_page_group_size from OCROptions
- Simplify optimize.py to use single-image JBIG2 encoding only
  (no symbol dictionaries/JBIG2Globals)
- Remove convert_group() from jbig2enc.py
- Deprecate CLI args with warnings for backward compatibility
- Update documentation to explain lossless-only JBIG2
2025-12-23 02:45:07 -08:00
James R. Barlow 9ebba91466 Use plugin namespace access pattern throughout codebase
Migrate all code from flat accessor pattern (options.tesseract_timeout)
to the plugin namespace pattern (options.tesseract.timeout).

Key changes:
- Fix _get_plugin_options to raise AttributeError for unregistered
  namespaces instead of silently returning None
- Add _convert_value helper to convert PathLike to str for plugin
  model field compatibility
- Filter out _plugin_cache_* entries from JSON serialization to fix
  worker process serialization (test_simulate_oom_killer)
- Update tesseract_ocr.py, ghostscript.py, _validation_coordinator.py,
  and _pipelines/ocr.py to use options.tesseract.* and
  options.ghostscript.* accessors
- Update tests to use setup_plugin_infrastructure() for plugin
  model registration
2025-12-23 02:02:21 -08:00
James R. Barlow aec995aced Require plugin model registration for namespace access in OCROptions
- Update __getattr__ docstring to clarify that plugin models must be
  registered for namespace access (e.g., options.tesseract.timeout)
- Update test_json_serialization.py to properly register TesseractOptions
  before accessing plugin namespaces
- Worker processes now register plugin models for multiprocessing tests
- Exclude plugin cache keys from extra_attrs comparison in tests
2025-12-22 15:09:55 -08:00
James R. Barlow be425e7405 Refactor pdfinfo: split info.py into focused modules
Split the 1288-line info.py into smaller, single-responsibility modules:
- _types.py: Enums, type aliases, lookup dictionaries
- _contentstream.py: PDF content stream parsing, DPI calculation
- _image.py: ImageInfo class and image finding functions
- _worker.py: Concurrency/worker process handling
- info.py: PageInfo, PdfInfo classes (reduced to ~530 lines)

Public API unchanged - all existing imports continue to work.
2025-12-22 01:27:23 -08:00
James R. BarlowandClaude Opus 4.5 b4f9673364 Add unit tests for HocrParser, PdfTextRenderer, and OcrElement
Comprehensive test coverage for the new hocrtransform components:

- test_ocr_element.py: Tests for BoundingBox, Baseline, FontInfo,
  OcrElement dataclass methods (iter_by_class, find_by_class,
  get_text_recursive, words/lines/paragraphs properties)

- test_hocr_parser.py: Tests for parsing hOCR files including
  page/paragraph/line/word extraction, RTL text, rotated text,
  different line types (header, caption), font info, and edge cases

- test_pdf_renderer.py: Tests for PDF rendering including text
  extraction verification, page sizing, multi-line content,
  text direction, baseline handling, textangle rotation, word breaks,
  debug options, and image overlay

Also fixes x_font regex pattern to not capture trailing semicolons.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 17:05:49 -08:00
James R. BarlowandClaude Opus 4.5 9ea804aff5 Refactor hocrtransform: separate parsing from rendering
Split the hOCR transformation code into three distinct layers:

1. ocr_element.py - Generic OcrElement dataclass that represents OCR
   output structure from any source (hOCR, ALTO, custom engines).
   Includes helper classes: BoundingBox, Baseline, FontInfo.

2. hocr_parser.py - HocrParser class that parses hOCR XML files into
   OcrElement trees, extracting bbox, baseline, textangle, confidence,
   font info, direction, and language.

3. pdf_renderer.py - PdfTextRenderer class that renders OcrElement
   trees to PDF text layers, handling text positioning, baseline
   rotation, LTR/RTL, and word break injection.

The existing HocrTransform class is preserved for backward compatibility,
now delegating to the new components internally.

This separation enables:
- Support for non-hOCR OCR output formats
- Independent improvements to text rendering
- Reuse of OcrElement for other purposes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 16:17:22 -08:00
James R. Barlow e162361d28 Make rotation test more robust 2025-12-21 14:42:14 -08:00
James R. Barlow 22d00837e3 WIP box tests 2025-12-21 14:03:28 -08:00
James R. Barlow 0faba42d36 test: Don't save local files 2025-12-21 14:03:28 -08:00
James R. Barlow 57e2600566 Also process art and bleed boxes 2025-12-21 14:03:28 -08:00
James R. Barlow 41758766a1 Test and fix page box issues 2025-12-21 14:03:28 -08:00
James R. BarlowandClaude Opus 4.5 3e46b039ed feat: add use_cropbox parameter to align rasterizer APIs
Added use_cropbox parameter to rasterize_pdf_page hook to allow
choosing between MediaBox and CropBox rendering:

- Default is use_cropbox=False (MediaBox) for consistency with
  Ghostscript's existing behavior
- Ghostscript: passes -dUseCropBox when use_cropbox=True
- pypdfium: calculates crop values to expand from CropBox to MediaBox
  when use_cropbox=False

This aligns both rasterizers to produce the same output dimensions
by default, making the rasterizer choice transparent for page
geometry.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:29:17 -08:00
James R. BarlowandClaude Opus 4.5 ae783b4ae6 fix: add thread safety lock to pypdfium plugin
pypdfium2/PDFium is not thread-safe - concurrent calls from different
threads can crash or corrupt the process. Added a module-level lock to
serialize all pdfium operations.

PIL image processing and file I/O are done outside the lock since they
are thread-safe, minimizing lock contention.

For maximum parallelism, users can use process-based parallelism
(use_threads=False) where each process has its own pdfium instance.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:29:17 -08:00
James R. BarlowandClaude Opus 4.5 b9f488d65c test: add comprehensive tests for --rasterizer option
Add test_rasterizer.py with tests covering:
- Basic rasterizer option validation ('auto', 'ghostscript', 'pypdfium')
- Rasterizer + --rotate-pages interaction
- PDFs with nonstandard MediaBox/TrimBox/CropBox
- Direct hook tests verifying plugins respect the option

Also fix pluggy parameter passing: make 'options' a required parameter
(no default) in the hookspec so pluggy forwards it to implementations.
Update test plugins and test_rotation.py to pass the new parameter.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:29:17 -08:00
James R. BarlowandClaude Opus 4.5 ed813cec67 feat: add --rasterizer CLI option to select PDF rasterization backend
Add user control over which rasterizer is used for PDF page rendering:
- 'auto' (default): prefers pypdfium when available, falls back to Ghostscript
- 'pypdfium': force pypdfium2 (errors if not installed)
- 'ghostscript': force traditional Ghostscript rasterizer

Changes:
- Add rasterizer field with validation to OCROptions model
- Add --rasterizer CLI argument in the Advanced options group
- Update rasterize_pdf_page hookspec to pass options to plugins
- Update pypdfium plugin with check_options hook for availability check
- Update both plugins to respect the rasterizer option

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:29:17 -08:00
James R. BarlowandClaude Opus 4.5 938ce8e285 fix: make pypdfium plugin optional with Ghostscript fallback
- Remove check_options hook from pypdfium that raised error when
  pypdfium2 wasn't installed
- Return None from pypdfium's rasterize_pdf_page when pypdfium2 is
  unavailable, allowing the hook to fall through
- Restore Ghostscript's rasterize_pdf_page hook as fallback

This allows OCRmyPDF to work without pypdfium2 installed, using
Ghostscript for rasterization as before.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:29:17 -08:00
James R. Barlow cf3fb6e89b Fix raster_device settings for pypdfium rasterizer 2025-12-21 12:29:17 -08:00
James R. Barlowandaider 3482ea5fe5 refactor: Modularize rasterize_pdf_page into separate PDF, page, and image processing functions
Co-authored-by: aider (anthropic/claude-sonnet-4-20250514) <aider@aider.chat>
2025-12-21 12:29:17 -08:00
James R. Barlow e85c5bbb4d refactor: Simplify error message and code formatting in pypdfium plugin 2025-12-21 12:29:17 -08:00
James R. Barlowandaider 740b0bddc6 feat: add pypdfium2 rasterization plugin for OCRmyPDF
Co-authored-by: aider (anthropic/claude-sonnet-4-20250514) <aider@aider.chat>
2025-12-21 12:29:17 -08:00
James R. BarlowandClaude Opus 4.5 a4ee513cd4 refactor: clean up deprecated code and update plugin docs
- Remove outdated Phase comments from _options.py and cli.py
- Remove unused methods from PluginOptionRegistry:
  - get_extended_options_model() - replaced by __getattr__ in OCROptions
  - map_legacy_options() - unused
  - validate_plugin_options() - unused
- Update plugin documentation to document register_options hook
- Add documentation for nested plugin option access pattern

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:21:48 -08:00
James R. BarlowandClaude Opus 4.5 0ad7f5fc13 feat: add dynamic nested access to plugin options
Completes Phase 5 of the CLI refactoring plan by enabling nested
plugin option access (e.g., options.tesseract.timeout) alongside
the legacy flat access (options.tesseract_timeout).

Changes:
- Add module-level plugin option model registry in _options.py
- Add __getattr__ to OCROptions for dynamic namespace access
- Register plugin models in setup_plugin_infrastructure()
- Add test for nested plugin option access

Plugin option instances are lazily created from flat field values
and cached for subsequent access.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:21:48 -08:00
James R. BarlowandClaude Opus 4.5 47cea37487 docs: add CLAUDE.md for Claude Code guidance
Provides architecture overview, common commands, and testing info
for AI-assisted development.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider b89bb3b524 fix: add blocked language validation for osd and equ
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 95d9c3ed18 fix: add cross-cutting validation to OCROptions model
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider f91e41a209 fix: refine validation coordinator error handling
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider f6fcdfa618 fix: allow 0 as valid value for jbig2_page_group_size
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 01ea6c2b8b feat: add ValidationCoordinator for cross-cutting validation
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider f02d733d31 feat: add legacy field mapping to plugin registry
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 28d6ea0f10 feat: Add CLI generation methods to plugin option models
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 6913ec7cb8 feat: add PluginOptionRegistry for dynamic option models
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 40f01d85ae refactor: convert jbig2 properties to direct fields in OCROptions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider b7640bdb9c feat: implement plugin option models with backward compatibility
This commit introduces Pydantic models for plugin-specific options in OCRmyPDF, focusing on:
- Creating TesseractOptions, OptimizeOptions, and GhostscriptOptions
- Adding backward compatibility properties
- Maintaining existing CLI and API functionality
- Preparing for future plugin option registration system

The changes include:
- Added type-annotated option models with validation
- Updated OCROptions to include legacy fields
- Added backward compatibility properties for jbig2 options
- Prepared groundwork for dynamic plugin option handling

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 62ad37b276 refactor: centralize plugin manager setup
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlow b1de6a6ad4 Add more cached tests 2025-12-21 12:21:48 -08:00
James R. Barlow e4fa9dbc8f Drop obsolete subclass of ArgumentParser 2025-12-21 12:21:48 -08:00
James R. Barlow b7737446e4 cli: push up imports 2025-12-21 12:21:48 -08:00
James R. Barlowandaider 42891346d1 fix: update test files to use new get_options_and_plugins function
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 4ed0e4510c fix: add type checking imports for OCROptions and pluggy
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlowandaider 4f9c4c3e52 refactor: reorganize CLI and options initialization
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:48 -08:00
James R. Barlow 08ee5690bc Remove to_namespace and its user, since nothing triggers it 2025-12-21 12:21:48 -08:00
James R. Barlow 3f38ea4d80 Remove OCROptions getattr interface 2025-12-21 12:21:47 -08:00
James R. Barlowandaider f04b5504e8 test: fix hOCR pipeline output folder handling
The commit message captures the essence of the changes: we fixed how the output folder is handled in the hOCR pipeline by making it a proper field in OCROptions and updating the API functions accordingly.

Would you like me to generate a full commit message or is this sufficient?

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlow 69185e5819 refactor: remove custom attribute handling methods and add output_folder option 2025-12-21 12:21:47 -08:00
James R. Barlow ade3ecd5a1 fix: add error handling in hOCR pipeline 2025-12-21 12:21:47 -08:00
James R. Barlow e4f8ba8edc Fix computing of lossless_reconstruction and checking of redo_ocr conflicts 2025-12-21 12:21:47 -08:00
James R. Barlow 1225c0a45e fix: correct typing issues in concurrent and optimize modules 2025-12-21 12:21:47 -08:00
James R. Barlowandaider f0c292f4e1 refactor: Remove CLI-parser dependencies in experimental API functions
This commit updates `_pdf_to_hocr` and `_hocr_to_ocr_pdf` to use direct OCROptions construction, eliminating the last vestiges of CLI-parser dependency in the experimental APIs.

Key changes:
- Removed `parser = get_parser()` calls
- Added plugin validation similar to main `ocr()` function
- Simplified plugin manager hook calls
- Added None value filtering to use OCROptions defaults
- Maintained error handling and extra_attrs logic

The refactoring makes these experimental APIs truly API-first and simplifies the code by removing unnecessary CLI-related complexity.

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlow 1f493ba789 refactor: post-AI code cleanup 2025-12-21 12:21:47 -08:00
James R. Barlowandaider e1d976168c feat: handle Pydantic serialization iterators in JSON serialization
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 60182ac8a8 fix: update JSON serialization tests to match default values
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlow 53db7b384b refactor: set default values for optional OCR configuration parameters 2025-12-21 12:21:47 -08:00
James R. Barlowandaider d77d63f1dc feat: add JSON serialization tests for OCROptions in multiprocessing
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider ff250afa51 fix: add helper function to calculate effective JBIG2 page group size
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider cdb976db41 fix: handle None or zero jbig2_page_group_size in extract_images_jbig2
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 9535b52d06 fix: revert default option values to preserve original behavior
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

fix: set default optimize value to 1 to prevent NoneType comparison

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider e1216eddb0 test: modify test_two_languages to use list of languages
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 21d69ffe87 fix: set default value for fast_web_view to prevent NoneType errors
This change ensures that `fast_web_view` always has a default value of 1.0, preventing the TypeError that was occurring in multiple test cases when trying to multiply `None` with an integer.

The modifications include:
1. Changing the type hint for `fast_web_view` from `float | None` to `float`
2. Setting a default value of 1.0
3. Adding a validation step in the `model_validator` to set the default value if not provided

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 3baeb83533 fix: Add compatibility for jpeg_quality and resolve strategy validation
This commit addresses several test failures by:
- Adding a compatibility property for `jpeg_quality`
- Changing default color conversion strategy from 'auto' to 'RGB'
- Ensuring `tesseract_config` is always a list
- Improving validation for color conversion and image compression strategies

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 134f4fcc28 fix: remove Union type hints and add default values in OCROptions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider a869a4ac42 fix: filter out None values from OCROptions kwargs
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 48a2fdb0f2 refactor: replace _kwargs_to_cmdline with direct OCROptions construction in experimental API functions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 91a2d39845 refactor: replace command line synthesis with direct OCROptions construction
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 3a0a7c546b feat: Implement JSON serialization for OCROptions with safe handling of Path and stream objects
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider d0a46a0359 feat: convert CLI Namespace to OCROptions in main entry point
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider cb22a35834 refactor: convert hOCR API entry points to use OCROptions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 9ff7ab491c fix: handle None jobs in hOCR pipeline concurrency
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

refactor: remove unused argparse import from pdf_to_hocr.py

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

fix: import OCROptions in pdf_to_hocr pipeline

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

fix: handle None jobs in hocr_to_ocr_pdf pipeline

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 0c3110857e fix: add lossless_reconstruction to namespace options in PdfContext
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider aad90bcb54 fix: compute lossless_reconstruction when not present in options
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 5f685aef6e fix: handle None jobs in concurrent processing
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 65b89cafde fix: use available_cpu_count fallback for jobs in hOCR
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider eeda99636a fix: handle Namespace conversion in PdfContext initialization
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider afc85333ac feat: add OCROptions import and type hints to pipeline functions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 3987a610e1 fix: update pipeline setup to handle immutable OCROptions correctly
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider dab969f97d refactor: update context management with OCROptions type hints
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlow 480a8253eb refactor: propagate lossless_reconstruction option to clean_options in PageContext 2025-12-21 12:21:47 -08:00
James R. Barlowandaider 8a06dd478a refactor: update pipeline functions to use OCROptions instead of argparse.Namespace
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 4dbd34f06a refactor: update type hint for do_get_pdfinfo to accept generic options
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 8668cf4524 fix: add type conversion for pages in pipeline common
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00
James R. Barlowandaider 1d74c2831f refactor: update pipeline entry points to use OCROptions directly
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:46 -08:00
James R. Barlowandaider 530186b468 docs: update documentation for OCROptions plugin interface migration
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:46 -08:00
James R. Barlowandaider 7b37f57b1c refactor: replace Namespace with OCROptions in plugins and validation
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:46 -08:00
James R. Barlow d4b7165d72 fix: resolve pickling issue with Pydantic validators in PageContext
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

Fix pickling issue
2025-12-21 12:21:46 -08:00
James R. Barlowandaider f5bfd2fd3e Add compat function for pages_from_ranges
fix: handle Pydantic validation errors with correct exit code

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:46 -08:00
dependabot[bot]andGitHub cdf956ffc4 Bump actions/download-artifact from 6 to 7
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 6 to 7.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v6...v7)

---
updated-dependencies:
- dependency-name: actions/download-artifact
  dependency-version: '7'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2025-12-15 10:02:30 +00:00
dependabot[bot]andGitHub c6b21d4dea Bump actions/upload-artifact from 5 to 6
Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 5 to 6.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2025-12-15 10:02:24 +00:00
James R. Barlowandaider 7575dddefc fix: add lossless_reconstruction attribute to OCROptions for compatibility
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

fix: resolve recursion error in lossless_reconstruction option

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

fix: ensure lossless_reconstruction attribute is added to Namespace

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>

fix: ensure lossless_reconstruction attribute is correctly propagated to PageContext

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:42:49 -08:00
James R. Barlowandaider 66a3e8508e feat: add comprehensive validators to OCROptions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:42:23 -08:00
James R. Barlowandaider 7bb3a97208 refactor: update test_validation.py to use Pydantic model validation
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:42:23 -08:00
James R. Barlowandaider d2add01217 fix: remove deprecated set_lossless_reconstruction import and call
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:42:23 -08:00
James R. Barlowandaider 4476e81240 refactor: remove redundant validation functions from _validation.py
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:42:23 -08:00
James R. Barlowandaider a373fcd649 fix: add jobs fallback in pipeline common
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:42:23 -08:00
James R. Barlow 87478bc240 Fix options.jpg_quality issue 2025-12-13 11:42:23 -08:00
James R. Barlowandaider 04ad78f01d refactor: replace OptimizeOptions with OCROptions in tests
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:41:58 -08:00
James R. Barlowandaider 62c3ae80c7 fix: ensure pickling compatibility for OCROptions in multiprocessing
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:41:58 -08:00
James R. Barlow d556014185 Remove language warning 2025-12-13 11:41:58 -08:00
James R. Barlowandaider d18efcbbf1 fix: support flexible type inputs for pages and unpaper_args
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:41:27 -08:00
James R. Barlowandaider f9a4a2e240 fix: handle missing input_file in OCROptions namespace conversion
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:41:27 -08:00
James R. Barlowandaider 5f89100dc3 test: add lossless_reconstruction field to OCROptions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:41:27 -08:00
James R. Barlowandaider 1ef9aaf659 fix: Correct PDF/A part extraction and handle hOCR API output file
This commit addresses two issues:
1. Properly extract the PDF/A part from output_type
2. Add a placeholder output_file for hOCR API tests when output_folder is used

The changes include:
- Modifying `from_namespace` to add a placeholder output_file
- Updating PDF/A part extraction logic to handle different output_type formats
- Ensuring correct PDF/A part is passed to Ghostscript

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:41:27 -08:00
James R. Barlowandaider 4c4a1cfa17 fix: Resolve API test failures with pdf_renderer and output_file handling
This commit addresses several issues in the OCRmyPDF API:
- Fixed handling of 'auto' pdf_renderer by defaulting to 'hocr'
- Added placeholder for output_file when output_folder is present
- Updated model_fields access to use class method instead of instance attribute
- Improved error handling and default behavior in PDF rendering

Specifically:
- Modified `_options.py` to handle 'auto' pdf_renderer
- Updated attribute access to use class methods
- Added placeholder for output_file in special cases
- Updated `_pipelines/ocr.py` to handle 'auto' pdf_renderer

These changes resolve the test failures in `test_api.py` and improve the library's flexibility.

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:41:27 -08:00
James R. Barlowandaider 5251e21f7e refactor: migrate OCROptions validators to Pydantic V2
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:40:57 -08:00
James R. Barlowandaider 28eb923d9f feat: rename _extra_attrs to extra_attrs in OCROptions
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:40:57 -08:00
James R. Barlowandaider 1579337ebe refactor: Create OCROptions model with Namespace compatibility
This commit introduces a new `OCROptions` class in `_options.py` that provides:
- Proper typing for OCRmyPDF options
- Pydantic validation
- Backward compatibility with `argparse.Namespace`
- Gradual migration support for the options system

Key changes:
- Added comprehensive option fields with type hints
- Implemented custom attribute access methods
- Created conversion methods between Namespace and OCROptions
- Updated type hints in multiple files to support both types
- Maintained existing validation logic

The new model allows for a step-by-step refactoring of the options handling throughout the project.

Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-13 11:40:57 -08:00
dependabot[bot]andGitHub f673da9ab9 Bump sigstore/gh-action-sigstore-python from 3.1.0 to 3.2.0
Bumps [sigstore/gh-action-sigstore-python](https://github.com/sigstore/gh-action-sigstore-python) from 3.1.0 to 3.2.0.
- [Release notes](https://github.com/sigstore/gh-action-sigstore-python/releases)
- [Changelog](https://github.com/sigstore/gh-action-sigstore-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/sigstore/gh-action-sigstore-python/compare/v3.1.0...v3.2.0)

---
updated-dependencies:
- dependency-name: sigstore/gh-action-sigstore-python
  dependency-version: 3.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-12-08 10:02:38 +00:00
rugkandGitHub 8d715c4157 docs: fix and clarify podman usage instructions (#1601)
* docs: fix and clarify podman usage instructions

* the full reference `jbarlow83/ocrmypdf-alpine` as in the other commands may fix an issue if you do not have `ocrmypdf` already downloaded locally
* also clarified the command at the end for usage when SELinux is enabled

* docs: clarify difference between SeLinux and rootless user mapping
2025-12-01 13:07:09 -08:00
dependabot[bot]andGitHub 0f3c7765aa Bump actions/checkout from 5 to 6
Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-11-24 11:31:33 +00:00
Chris MayoandGitHub 9dbce33ee6 Update Changelog URL (#1597)
Renamed in:
d1a45e4a ("Convert remaining rst -> md", 2025-04-17)
2025-11-16 23:10:48 -08:00
James R. Barlow 54ce09496c v16.12.0 release notes 2025-11-11 13:48:06 -08:00
James R. Barlow f4c6c8121b Work around Ghostscript 10.6.0 JPEG encoding issue by forcing optimization.
Not an ideal fix, but it improves an issue affecting numerous users.

Fixes #1585.
2025-11-10 17:01:02 -08:00
James R. Barlow 057eaff36d Skip devnull testing on Windows
No longer seems to work - Windows Server 2025 change, perhaps? Doesn't really matter.
2025-11-10 16:57:30 -08:00
James R. Barlow b88d63bdf7 Add Python 3.14 to test matrix 2025-11-10 16:10:01 -08:00
James R. Barlow a385cd967d docs: Improve ocrmypdf.api 2025-11-10 15:58:47 -08:00
James R. Barlow 2f72f8e94a ghostscript: Disable subset fonts
For at least the PDF associated with this issue, disabling subset
fonts prevents Ghostscript from mangling the encoding when it is usable but not well-formed.

Fixes #1592
2025-11-10 15:58:14 -08:00
James R. Barlowandaider ee47e986f3 docs: Improve module-level docstring for OCRmyPDF Python API
Co-authored-by: aider (anthropic/claude-sonnet-4-20250514) <aider@aider.chat>
2025-11-10 10:33:26 -08:00
James R. Barlow e44063da15 Update Dockerfile versions
tesseract-ocr/alex-p does not have a Tesseract 5 for Ubuntu 25.10 so we use 25.04 for now.

Ubuntu 25.04 gets us Ghostscript 10.05 which avoids issues in older versions.

Remove comment about now-legacy Alpine versions not working properly. Alpine provides Ghostscript 10.05.1.

Fixes #1587,
2025-11-09 15:20:55 -08:00
James R. Barlow abc2d41e2d Require recent pikepdf to fix check_pdf_syntax issue 2025-10-29 11:40:51 -07:00
James R. Barlow 38d60ea89b optimize: don't put flate on large jpegs unless compression is high
Putting flate on very large JPEGs can cause performance problems in PDF viewers, subjectively anyway.
2025-10-29 11:39:20 -07:00
James R. Barlow 35ec90af44 Merge remote-tracking branches 'origin/dependabot/github_actions/sigstore/gh-action-sigstore-python-3.1.0', 'origin/dependabot/github_actions/actions/upload-artifact-5' and 'origin/dependabot/github_actions/actions/download-artifact-6' 2025-10-28 13:40:08 -07:00
James R. Barlow aa1cc8ae04 Update packages 2025-10-27 17:07:14 -07:00
dependabot[bot]andGitHub eaceb66030 Bump sigstore/gh-action-sigstore-python from 3.0.1 to 3.1.0
Bumps [sigstore/gh-action-sigstore-python](https://github.com/sigstore/gh-action-sigstore-python) from 3.0.1 to 3.1.0.
- [Release notes](https://github.com/sigstore/gh-action-sigstore-python/releases)
- [Changelog](https://github.com/sigstore/gh-action-sigstore-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/sigstore/gh-action-sigstore-python/compare/v3.0.1...v3.1.0)

---
updated-dependencies:
- dependency-name: sigstore/gh-action-sigstore-python
  dependency-version: 3.1.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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2025-10-27 11:08:50 +00:00
dependabot[bot]andGitHub b1dcc2c445 Bump actions/upload-artifact from 4 to 5
Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 4 to 5.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2025-10-27 11:02:08 +00:00
dependabot[bot]andGitHub ab3855af48 Bump actions/download-artifact from 5 to 6
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 5 to 6.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/download-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2025-10-27 10:47:34 +00:00
James R. Barlow 5c6cc4031f Merge remote-tracking branch 'origin/dependabot/github_actions/astral-sh/setup-uv-7' 2025-10-25 12:10:01 -07:00
James R. Barlow f181307e50 v16.11.1 release notes 2025-10-16 10:59:13 +02:00
James R. Barlow b213efb030 Account for new deskew output error message from recent Tesseract
Fixes #1576
2025-10-16 09:50:03 +02:00
James R. Barlow f59e68911f Drop macos-13 (now unsupported by Apple) 2025-10-13 15:10:28 +02:00
dependabot[bot]andGitHub 9605656a2f Bump astral-sh/setup-uv from 6 to 7
Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 6 to 7.
- [Release notes](https://github.com/astral-sh/setup-uv/releases)
- [Commits](https://github.com/astral-sh/setup-uv/compare/v6...v7)

---
updated-dependencies:
- dependency-name: astral-sh/setup-uv
  dependency-version: '7'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-10-13 10:40:31 +00:00
James R. Barlow 599fb1a1f6 Fix test_semfree (skip Python 3.14)
This feature is now deprecated and won't be fixed for Python 3.14. Instead we just use threads on platforms that don't support semaphores.

Closes #1558
2025-09-14 13:02:33 -07:00
James R. Barlow 9a2c0cf6ff v16.11.0 release notes 2025-09-12 00:08:11 -07:00
James R. Barlow 414d80fc16 Deprecate semfree and don't auto activate it
Instead the standard executor will fall back to threads.

semfree caused test failures  with Py3.14:
https://github.com/ocrmypdf/OCRmyPDF/issues/1558

In retrospect and with emerging Python tech like freethreading, semfree is becoming less necessary. We can use threads for the time being.

A consequence is that performance may be lower on Lambda and Termux when we are using threads and not shelling out work.
2025-09-11 17:13:04 -07:00
James R. Barlow 7ca4ae4e16 Merge branch 'feature/pdfa-naming' 2025-09-11 16:37:53 -07:00
James R. Barlow 7e7e2f2e91 Raw value in pdfa XML block uses upper case codes, so account for this 2025-09-08 12:46:26 -07:00
clach04andGitHub d07231a7aa Doc typo plugins.md (#1568) 2025-09-08 12:07:51 -07:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
0e831db9f4 Bump actions/setup-python from 5 to 6 (#1569)
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 5 to 6.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2025-09-08 12:07:28 -07:00
5HT2 650ca1c65b docs: Update screencast demo output to have corrected references to PDF/A compliance levels
See a7b0c0df6c for more information
2025-08-31 20:54:08 +01:00
5HT2 a7b0c0df6c fix(src): Refactor CLI help references to PDF/A compliance levels
Please see [RFC8118 4.](https://datatracker.ietf.org/doc/html/rfc8118#section-4) for examples regarding the PDF/A compliance naming scheme.
Please see [RFC8118 [ISOPDFA]](https://datatracker.ietf.org/doc/html/rfc8118#ref-ISOPDFA) for more complete information regarding the PDF/A compliance naming scheme.
2025-08-31 20:37:41 +01:00
5HT2 d735791524 fix(src): Refactor valid_part_conforms for PDF/A compliance levels 2025-08-31 20:32:30 +01:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
66308c2813 Bump actions/download-artifact from 4 to 5 (#1557)
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 4 to 5.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/download-artifact
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2025-08-18 13:43:34 -07:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
d81de57bbc Bump actions/checkout from 4 to 5 (#1560)
Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 5.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2025-08-18 13:43:10 -07:00
Alina BürgeandGitHub a9a8b39dba Fix the use of the plugin_manager argument (#1555) 2025-08-18 13:00:39 -07:00
Stuart HendersonandGitHub fd5b8132ae add OpenBSD info to readme (#1554) 2025-08-18 12:49:21 -07:00
James R. Barlow 63675c21ce Remove PyPy from test matrix 2025-08-18 12:15:32 -07:00
James R. Barlow 6af22051a8 Avoid call to deprecated pdf.check() where possible 2025-08-13 01:15:33 -07:00
James R. Barlow 8318ebbaec Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2025-08-13 01:05:02 -07:00
James R. Barlow 4fc0c3a0d5 Add watcher test, such as it is 2025-08-13 01:04:58 -07:00
Christoph Dyllick-BrenzingerandGitHub 74305e8741 Update batch.md (#1552)
Add two missing available parameters for watcher.py (used with docker):
- OCR_LOGLEVEL
- OCR_JSON_SETTINGS
2025-08-05 14:11:55 -07:00
Máté GyöngyösiandGitHub d6b069d3fa Unify --tesseract-timeout flag syntax (#1546)
As pointed out at 
https://github.com/tldr-pages/tldr/pull/17175#discussion_r2192340014.
2025-07-08 11:40:58 -07:00
James R. Barlow 194ca699a8 v16.10.4 release notes 2025-07-07 12:36:15 -07:00
James R. Barlow 175b743ffe Fix version test 2025-07-03 11:30:05 -07:00
James R. Barlow 080b73e7c0 Merge remote-tracking branch 'origin/main' 2025-07-03 09:22:20 -07:00
James R. Barlow df6079c06d Merge remote-tracking branch 'origin/dependabot/github_actions/sigstore/gh-action-sigstore-python-3.0.1' 2025-07-03 09:21:44 -07:00
James R. Barlow 45cf92f40b xfail Python logging bug in 3.13.3/4 2025-07-03 09:21:31 -07:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
5b1900beec Bump sigstore/gh-action-sigstore-python from 3.0.0 to 3.0.1 (#1541)
Bumps [sigstore/gh-action-sigstore-python](https://github.com/sigstore/gh-action-sigstore-python) from 3.0.0 to 3.0.1.
- [Release notes](https://github.com/sigstore/gh-action-sigstore-python/releases)
- [Changelog](https://github.com/sigstore/gh-action-sigstore-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/sigstore/gh-action-sigstore-python/compare/v3.0.0...v3.0.1)

---
updated-dependencies:
- dependency-name: sigstore/gh-action-sigstore-python
  dependency-version: 3.0.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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2025-07-03 00:40:08 -07:00
dependabot[bot]andGitHub c0208f0da1 Bump sigstore/gh-action-sigstore-python from 3.0.0 to 3.0.1
Bumps [sigstore/gh-action-sigstore-python](https://github.com/sigstore/gh-action-sigstore-python) from 3.0.0 to 3.0.1.
- [Release notes](https://github.com/sigstore/gh-action-sigstore-python/releases)
- [Changelog](https://github.com/sigstore/gh-action-sigstore-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/sigstore/gh-action-sigstore-python/compare/v3.0.0...v3.0.1)

---
updated-dependencies:
- dependency-name: sigstore/gh-action-sigstore-python
  dependency-version: 3.0.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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2025-06-23 12:15:26 +00:00
James R. Barlow 61163c2aa9 Fix stupid Python runtimeerror 2025-06-13 01:46:30 -07:00
James R. Barlow 332369f1b0 Adjust set_start_method decision, changing fork to forkserver for platforms other than win32, darwin 2025-06-13 01:22:01 -07:00
James R. Barlow 7ea940a3a6 v16.10.3 release notes 2025-06-13 00:28:33 -07:00
James R. Barlow 8a784d6052 Drop explicit norecursedirs setting, which we no longer need 2025-06-13 00:03:24 -07:00
James R. Barlow 5cf86a7c2e Update uv.lock 2025-06-13 00:02:53 -07:00
James R. Barlow 3beabf55e7 Skip optimizing images with pre-blended soft masks
Fixes issue [Bug]: Optimized pdf not rendering with Quartz / Core Graphics #1536
2025-06-12 23:58:43 -07:00
James R. Barlow 6f6448f286 Update dependency lockfile 2025-05-27 14:19:09 -07:00
James R. Barlow 9f6e5a48ad Deny use of pikepdf 9.8.0 due to GlyphlessFont error 2025-05-27 12:16:19 -07:00
PunkPangolinandGitHub ee3da07710 Add appstream metainfo file + screenshot (#1462)
* Add io.ocrmypdf.ocrmypdf.metainfo.xml

* Create sample_screenshot.png

* Better screenshot

* Add screenshot to metainfo

* Move into /misc/flatpak

* Add screenshot URL

* Add icon and categories to metainfo

* Use installed icon instead of remote

* Add keywords to metainfo, change summary closer to Flathub Guildelines
2025-05-27 00:42:47 -07:00
jbarlowandGitHub 45043f6a8c Merge pull request #1519 from ocrmypdf/dependabot/github_actions/astral-sh/setup-uv-6
Bump astral-sh/setup-uv from 5 to 6
2025-05-27 00:41:52 -07:00
James R. Barlow b166e86216 jbig2 doc: mention pkg-config
Closes #1484
2025-05-26 13:04:05 -07:00
dependabot[bot]andGitHub 1e2d76b931 Bump astral-sh/setup-uv from 5 to 6
Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 5 to 6.
- [Release notes](https://github.com/astral-sh/setup-uv/releases)
- [Commits](https://github.com/astral-sh/setup-uv/compare/v5...v6)

---
updated-dependencies:
- dependency-name: astral-sh/setup-uv
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2025-04-28 11:23:43 +00:00
James R. Barlow 6851ea7f11 Remove test since ghostscript error handling changed 2025-04-21 12:23:34 -07:00
James R. Barlow 4143154e91 Update uv version and lock for build issues 2025-04-21 11:00:22 -07:00
James R. Barlow 7c5bed41f1 v16.10.1 2025-04-21 01:15:29 -07:00
James R. Barlow 9865f01f47 Convert dep5 to REUSE 2025-04-21 01:05:17 -07:00
James R. Barlow be3971e755 Merge branch 'sphinx-md' 2025-04-21 00:53:16 -07:00
James R. Barlow 3304498bdc Fix some anchors and markdown quirks 2025-04-21 00:50:26 -07:00
James R. Barlow e4a8f7a354 Remove redundant optimizer content 2025-04-17 15:10:59 -07:00
James R. Barlow d1a45e4abc Convert remaining rst -> md 2025-04-17 15:03:21 -07:00
James R. Barlow 3b9367fc69 Continuing rst -> md 2025-04-17 02:27:59 -07:00
James R. Barlow 92a78f611e rst -> md migration in progress 2025-04-17 02:10:40 -07:00
James R. Barlow 6f16d0130a Clarify that ocrmypdf-compare is a testing tool 2025-04-15 00:03:14 -07:00
jbarlowandGitHub 8b1443c482 Merge pull request #1493 from BBC-Esq/main
fix ._hocr
2025-04-06 04:11:31 -04:00
James R. Barlow d84c47816c webservice: promote pages to primary option 2025-04-06 01:07:47 -07:00
James R. Barlow 15a77c9d69 Modernize pyproject license specification 2025-04-06 01:07:25 -07:00
James R. Barlow 43c84ca268 Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2025-03-27 11:00:00 -07:00
jbarlowandGitHub 4125b8a456 Merge pull request #1497 from FlowerCard/main
doc: add readme zh markdown file
2025-03-25 02:52:50 -04:00
jbarlowandGitHub 07e774cce9 Merge pull request #1494 from eltociear/patch-1
docs: update installation.rst
2025-03-25 02:52:41 -04:00
HuaPai 553a20a8e6 docs: 添加 README_ZH.md 文件,提供中文版说明
为方便中文用户理解和使用 OCRmyPDF,新增了中文版的 README 文件,内容基于原始英文版本进行翻译,保留了所有重要信息和结构。
2025-03-25 11:44:18 +08:00
HuaPai 172ba4cad1 chore: 在.gitignore中添加.idea/目录
避免将IDE配置文件提交到版本控制中
2025-03-24 13:05:36 +08:00
Ikko Eltociear AshimineandGitHub 0f5ccb71ca docs: update installation.rst
instal -> install
2025-03-09 01:27:25 +09:00
BBC-EsqandGitHub 0970cebfea Update _hocr.py 2025-03-08 07:37:37 -05:00
James R. Barlow 6de6749062 webservice: fix download button downloads wrong file 2025-02-26 18:42:50 -08:00
James R. Barlow 7b2dd892e5 v16.10.0 release notes 2025-02-26 15:16:18 -08:00
James R. Barlow c05ed7297c Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2025-02-26 15:16:07 -08:00
Odin DahlströmandJames R. Barlow c29f58a8b7 Process hOCR textangle attribute 2025-02-26 15:09:59 -08:00
jbarlowandGitHub eb303fef1a Merge pull request #1441 from aliemjay/fix-prog-bar 2025-02-26 15:05:54 -08:00
James R. Barlow 2a55ceadd0 Merge branch 'pr/rugk/1489' 2025-02-26 14:59:06 -08:00
James R. Barlow 71991ad09b Remove podman 2025-02-26 14:58:43 -08:00
James R. Barlow bd60d6ccd9 Merge branch 'pr/rugk/1488' 2025-02-26 14:57:46 -08:00
James R. Barlow 83b4469ef1 Word wrap 2025-02-26 14:57:18 -08:00
James R. Barlow d2a7caf496 Merge branch 'feature/remove-ttyd' 2025-02-26 14:54:40 -08:00
James R. Barlow ff0ea45bf2 Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2025-02-26 14:53:48 -08:00
James R. Barlow b5bc1d209c Remove ttyd 2025-02-26 14:53:13 -08:00
rugkandGitHub 53270b8eb1 Doc: Update docker.rst to use
I prefer to write the name in full aka `jbarlow83/ocrmypdf-alpine` and I'd also suggest to document this because:
* if you use `docker tag` this AFAIK only tags the currently downloaded (=pulled) version of that image
* in case a new update comes out, the new one will not be pulled automatically and one would have to pull and tag the image locally, again
* This `docker tag`  command is easily overlooked, if users just run `docker run ocrmypdf` this may or may not work, depending on how it is resolved.
   Also, AFAIK if one could get Docker to register https://hub.docker.com/ocrmypdf then this would suddenly be used instead of your image (currently `podman pull docker.io/ocrmypdf` returns a 404 for me, though)
* It is more common to write at least the user namespace there and the project, to prevent such errors.

Also, default [Docker has many shortcuts for this and e.g. assumes Docker-Hub is always being used](https://stackoverflow.com/questions/37861791/how-are-docker-image-names-parsed). Podman usually does not, that's why I personally prefer to use the very full and clear `docker.io/jbarlow83/ocrmypdf-alpine:latest` e.g. for alpine. This makes it not only clear which version is used, but also where it is pulled from (should one have configured different Docker registries).
2025-02-26 02:43:46 +01:00
rugkandGitHub 3049a10757 doc: Update docker.rst to explain how to use with podman
I've fiddled/struggled with this by myself, by getting a permission error like this one:
```shell
OutputFileAccessError: Output file location (./output.pdf) is not a writable file.
``` 

I've loosely followed and found https://github.com/containers/podlet?tab=readme-ov-file#in-a-container and explained the required flags in a similar way, but adapted for this tool (it likely won't be used so much on system files).

I've tested it and it works fine for me. The same issue may be on Docker rootless, but I guess people will get that and I cannot test it here.
2025-02-26 02:30:25 +01:00
jbarlowandGitHub 53002f65d9 Merge pull request #1485 from alexpdp7/main
Correct the installation instructions for Windows
2025-02-22 11:18:14 -08:00
alex acea9529ea Correct the installation instructions for Windows 2025-02-22 10:46:22 +01:00
James R. Barlow 32322a9fe9 Fix broken test_hocrtransform_matches_sandwich
Expect word similarity rather than exact match. Difference appears to be due to quote styles.

Thanks @QuLogic for reporting.
2025-02-09 13:57:50 -08:00
James R. Barlow 6b09129911 Fix github release yaml 2025-02-07 16:25:29 -08:00
James R. Barlow e4274a956d v16.9.0 release notes 2025-02-07 00:53:08 -08:00
James R. Barlow 19af116034 Tidy whitespace 2025-02-06 00:40:35 -08:00
jbarlowandGitHub a5896c45e8 Merge pull request #1466 from 0dinD/fix-hocr-caption 2025-02-06 00:38:59 -08:00
Odin Dahlström b7d63f3dc1 Process ocr_caption lines 2025-01-30 17:49:06 +01:00
James R. Barlow 137b054f43 Adjust test again for older Ghostscript 2025-01-27 23:44:37 -08:00
James R. Barlow e6daa28c6d Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2025-01-25 16:55:53 -08:00
James R. Barlow 2512093076 Don't build PDF documentation anymore to fix RTD build issues 2025-01-15 16:17:12 -08:00
Quentin FuxaandGitHub 66bc4a3733 Improve docs for _progressbar.py (#1456) 2025-01-09 12:21:21 -08:00
James R. Barlow 65df44f670 Modify tests to deal with variety of Ghostscript versions 2025-01-09 02:14:29 -08:00
James R. Barlow 6edc749023 Fix error handling when PDF contains an invalid image with both ImageMask and ColorSpace set
Fixes #1453
2025-01-07 00:27:07 -08:00
James R. Barlow cff98d258e Upgrade to Alpine 3.21 2025-01-05 08:53:02 -08:00
James R. Barlow d1fc77e1b6 docs: add imgconverter 2025-01-04 12:39:55 -08:00
James R. Barlow 17eed0529a Update notes 2025-01-04 12:21:46 -08:00
James R. Barlow f02353686d s/input/output 2025-01-04 12:18:07 -08:00
James R. Barlow 32813a3c3d Merge remote-tracking branch 'origin/dependabot/github_actions/astral-sh/setup-uv-5' 2025-01-04 12:10:18 -08:00
James R. Barlow 073a434ab3 Fix webservice interactions with Docker 2025-01-04 12:09:32 -08:00
James R. Barlow f390e7f9d1 Add cache to Dockerfiles 2025-01-04 12:09:11 -08:00
James R. Barlow bfbe571f12 docs: fix more rst formatting issues 2025-01-04 10:59:52 -08:00
James R. Barlow 368568b8ea Change yaml strings in release script 2025-01-04 01:05:27 -08:00
James R. Barlow 55e7177dbe Present similar interface in webservice.py 2025-01-04 01:04:58 -08:00
James R. Barlow b486df7e2d docs: auto update year 2025-01-04 01:04:29 -08:00
James R. Barlow 74a84b6ae9 Fix numerous documentation build problems 2025-01-03 12:23:42 -08:00
James R. Barlow cfebf1dc8b alpine: fix pyarrow name again 2025-01-01 20:30:12 -08:00
James R. Barlow 1aaff4af6f alpine: use pyarrow package for webservice 2025-01-01 18:45:27 -08:00
James R. Barlow 36c82e0659 Add debugging helper scripts 2025-01-01 18:03:15 -08:00
James R. Barlow 522f9d5f56 Merge branch 'pr/pajowu/1448' 2025-01-01 18:00:52 -08:00
James R. Barlow 796e424ee5 graft: Handle stack underflow 2025-01-01 18:00:39 -08:00
James R. Barlow d87db6cad0 Merge branch 'pr/pajowu/1446' 2025-01-01 17:50:33 -08:00
James R. Barlow dd6ed4c5f8 Switch to streamlit based web app 2025-01-01 17:26:22 -08:00
James R. Barlow 206bab74bc Improve diagnostics for unidentified image 2025-01-01 17:13:57 -08:00
dependabot[bot]andGitHub b333480749 Bump astral-sh/setup-uv from 4 to 5
Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 4 to 5.
- [Release notes](https://github.com/astral-sh/setup-uv/releases)
- [Commits](https://github.com/astral-sh/setup-uv/compare/v4...v5)

---
updated-dependencies:
- dependency-name: astral-sh/setup-uv
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2024-12-23 10:08:40 +00:00
James R. Barlow f71a5ffd61 hocr: comment typo 2024-12-23 01:46:00 -08:00
James R. Barlow b7c3ea70ed Try triage workflow helper 2024-12-12 17:00:21 -08:00
Kara Engelhardt 636623ab49 graft: fix invisible text appearing after strip_invisible_text
strip_invisible_text resets the text render mode on each `BT` (begin text) command. However the text state is not actually reset for each text element, only for each page.

The pdf reference says:

> The text state operators can appear outside text objects, and the values they set
> are retained across text objects in a single content stream. Like other graphics
> state parameters, these parameters are initialized to their default values at the
> beginning of each page.
>
> -- https://opensource.adobe.com/dc-acrobat-sdk-docs/pdfstandards/pdfreference1.7old.pdf#page=397

With the current implementation, a text object is only deleted if it contains a `3 Tr` command (setting the text rendering mode to invalid). However the rendering mode may be set once and then not changed for multiple text objects or set outside of a text object.
In that case only the first text object (which contains the `3 Tr`-command) is removed. This not only leaves the other text objects in the pdf, but also makes them visible, since the text object that contained the `3 Tr`-command is removed.

This PR updates `strip_invisible_text` to not reset the rendering mode for each object and to keep track of the rendering mode when the graphic state is pushed/popped.
2024-12-11 18:01:12 +01:00
Kara Engelhardt 74253e5fc8 hocr: only add space if boxwidth is positive 2024-12-11 16:23:45 +01:00
James R. Barlow 02d85ff070 Tell uv not to sync dev harder 2024-12-08 23:20:18 -08:00
James R. Barlow 179c36151b Tell uv not to sync dev 2024-12-08 17:27:31 -08:00
James R. Barlow 3c4b099cb1 Don't try to install dev dependencies in build 2024-12-08 14:03:04 -08:00
James R. Barlow 15df9c370c Update notes 2024-12-08 12:20:40 -08:00
James R. Barlow 86d92ef490 Disable logging of markup
Fixes #1444
2024-12-08 12:17:19 -08:00
Elliott Sales de AndradeandGitHub 8f44b29ca3 Update intersphinx mapping to current format (#1443)
This will break somewhere in Sphinx 8.
2024-12-05 23:54:21 -08:00
joskezelenskyandGitHub 5a08a6cfeb Update cookbook.rst (#1440) 2024-12-05 00:49:13 -08:00
Ali MJ Al-Nasrawy 6d2d870711 Fix "Scanning contents" progress bar with --redo-ocr 2024-12-04 18:45:46 +03:00
James R. Barlow cc058be4b2 v16.7.0 release notes 2024-12-02 11:45:01 -08:00
James R. Barlow 7565d20c0a Fix Docker build and restore ubuntu 24.04 as base Docker image
Ubuntu version changed on suspicion of Ghostscript 10, but that issue is resolved.
2024-12-02 11:36:26 -08:00
James R. Barlow 9a075039b5 Remove empty test file 2024-12-02 11:23:35 -08:00
James R. Barlow 5a1c043331 Check in uv.lock and update uv version 2024-11-27 17:14:07 -08:00
James R. Barlow fe89be5dc0 Fix test broken in commit 85d6fb8c 2024-11-27 15:44:12 -08:00
James R. Barlow d70296b97a Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-11-27 00:10:32 -08:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
7d7658018d Bump codecov/codecov-action from 4 to 5 (#1433)
Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 4 to 5.
- [Release notes](https://github.com/codecov/codecov-action/releases)
- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)
- [Commits](https://github.com/codecov/codecov-action/compare/v4...v5)

---
updated-dependencies:
- dependency-name: codecov/codecov-action
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2024-11-27 00:04:27 -08:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
8fb8e9f72c Bump astral-sh/setup-uv from 3 to 4 (#1436)
Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 3 to 4.
- [Release notes](https://github.com/astral-sh/setup-uv/releases)
- [Commits](https://github.com/astral-sh/setup-uv/compare/v3...v4)

---
updated-dependencies:
- dependency-name: astral-sh/setup-uv
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-11-27 00:04:04 -08:00
James R. Barlow 85d6fb8ce9 Don't use stdout for Ghostscript
Apparently, Ghostscript simply uses temporary files when asked to write to stdout. We're already using temporary files internally, so this eliminates some redundant copies.
2024-11-21 17:02:03 -08:00
James R. Barlow 828e741c24 README add more features 2024-11-17 13:43:47 -08:00
James R. Barlow 36837f8353 Remove conda from installables list (conda's ocrmypdf is old/unmaintained) 2024-11-17 13:38:17 -08:00
James R. Barlow 12fd4f70f1 docs: fix typo 2024-11-17 13:37:31 -08:00
James R. Barlow 250615561d v16.6.2 release notes 2024-11-16 19:05:20 -08:00
James R. Barlow a659f83d67 Remove invalid hyperlink annotations to satisfy Ghostscript 10.x during PDF/A conversion
Closes #1425
2024-11-16 19:02:10 -08:00
James R. Barlow 08f95c0b13 v16.6.1 release notes 2024-11-10 02:09:10 -08:00
James R. Barlow dbd3c93757 Fix issue with unpickling HOCRResult
Fixes [Bug]: HOCRResult.from_json() not unpickling correctly #1427
2024-11-10 02:05:57 -08:00
James R. Barlow 5d128a91d2 Adjust tesseract-ocr5 package and revert to Ubuntu 22.04
22.04 has older Ghostscript which has fewer regressions.
2024-11-08 15:20:40 -08:00
James R. Barlow a1b8113d56 Add bisect script 2024-11-08 11:09:13 -08:00
James R. Barlow f052e910c9 docs: Improve batch command 2024-11-07 00:09:55 -08:00
James R. Barlow 116e2692d0 Also use stable Tesseract 5 for Docker 2024-11-01 15:47:25 -07:00
James R. Barlow b2669c7d71 Use stable tesseract ppa for build 2024-11-01 15:08:53 -07:00
James R. Barlow c8c53d38a3 Remove .git from Docker images nad fix link to alternate services 2024-11-01 10:32:29 -07:00
James R. Barlow d303b42c86 Add documentation to PdfMinerState 2024-10-27 22:01:36 -07:00
James R. Barlow f77f701a50 Fix quadratic time performance regression on scanning pages 2024-10-27 21:57:53 -07:00
James R. Barlow 1c3b7d1507 Tidy release notes 2024-10-27 19:35:53 -07:00
James R. Barlow bf62562787 Merge branch 'feature/docker-ubuntu-24' 2024-10-27 17:39:06 -07:00
James R. Barlow 6c6cbfd4d6 Make images extracted for jbig2enc optimization have unique filenames
Fixes #1396
2024-10-27 17:38:52 -07:00
James R. Barlow ee5acbe94e Repair PDF before all processing
Some PDFs choke both pdfminer.six and Ghostscript but the issues can be fixed first.

Fixes #1403
2024-10-27 17:37:46 -07:00
James R. Barlow 5e478a7774 do_get_pdfinfo: typing 2024-10-27 17:23:20 -07:00
James R. Barlow 92c5200ad2 Update release notes for 16.6.0 2024-10-27 16:56:41 -07:00
James R. Barlow 86a102f8e6 Update docker docs 2024-10-27 16:49:54 -07:00
James R. Barlow 2463b91051 Remove unneeded build steps from Alpine 2024-10-27 16:46:57 -07:00
James R. Barlow 07f7c6b812 Reinstate jbig2 building 2024-10-27 16:33:37 -07:00
James R. Barlow 8138664287 Remove Ubuntu 22.04 container 2024-10-27 16:14:08 -07:00
James R. Barlow 120ca72393 Update Ubuntu Dockerfile 2024-10-27 16:12:42 -07:00
James R. Barlow f9b3e9a97b Add Dockerfile for Ubuntu 24.04 LTS 2024-10-27 15:33:34 -07:00
James R. Barlow 1e87930bbb Use uv to construct Alpine Docker image 2024-10-27 15:32:46 -07:00
James R. Barlow fe4725658e unpaper: fix regex 2024-10-27 14:57:21 -07:00
James R. Barlow 9d042767cc Attempt to fix matrix and unpaper version error 2024-10-27 14:04:45 -07:00
James R. Barlow 23bc247b9c Improve Linux coverage matrix 2024-10-27 13:52:09 -07:00
James R. Barlow e44bf46d77 Fix img2pdf and python version 2024-10-27 13:32:06 -07:00
James R. Barlow f50620c244 Convert to uv build 2024-10-27 13:26:41 -07:00
James R. Barlow 6f755321b8 Ignore unpaper warning message when checking version
Fixes #1409
2024-10-27 13:06:30 -07:00
James R. Barlow 706681deb8 Improve some type checks 2024-10-27 12:54:29 -07:00
James R. Barlow c283cf0a0d Fix incorrect return value 2024-10-27 12:32:40 -07:00
James R. Barlow 0f82d7223e Fix some typing issues 2024-10-27 12:31:16 -07:00
James R. Barlow 9a6150ae53 Refactor get_pdfinfo common code 2024-10-27 12:09:33 -07:00
James R. Barlow fec0948a13 If inside a container, remind user that path is relative to container 2024-10-27 11:55:38 -07:00
James R. Barlow 18b59c57b4 Refactor our tests that check if we are in a container 2024-10-27 11:55:22 -07:00
Mayeul KauffmannandGitHub a67a11e61c Doc: new infix for temp files; snap temp files folder (#1404) 2024-10-26 11:18:25 -07:00
James R. Barlow 6ca4940a32 Upgrade docker alpine to latest 3.19.x and add note about 3.20.x 2024-09-15 16:43:35 -07:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
0e4cce2642 Bump sigstore/gh-action-sigstore-python from 2.1.1 to 3.0.0 (#1392)
Bumps [sigstore/gh-action-sigstore-python](https://github.com/sigstore/gh-action-sigstore-python) from 2.1.1 to 3.0.0.
- [Release notes](https://github.com/sigstore/gh-action-sigstore-python/releases)
- [Changelog](https://github.com/sigstore/gh-action-sigstore-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/sigstore/gh-action-sigstore-python/compare/v2.1.1...v3.0.0)

---
updated-dependencies:
- dependency-name: sigstore/gh-action-sigstore-python
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-09-05 01:46:26 -07:00
James R. Barlow 8fca0c71dc v16.5.0 release notes 2024-08-31 02:12:07 -07:00
James R. Barlow 944d99bdc1 Fix PROGRAM_NAME 2024-08-31 01:23:55 -07:00
James R. Barlow 5bb6e1c5d7 Modify GitHub release strategy to use sigstore 2024-08-31 01:17:51 -07:00
James R. Barlow 8d7a8f0f98 Update documentation to transition from setuptools to hatchling 2024-08-31 01:14:51 -07:00
James R. Barlow b9dd0a5e3c Use hatchling and hatch-vcs as build backend 2024-08-31 01:08:23 -07:00
James R. Barlow 6949ad2c5d pyproject: link changelog 2024-08-31 00:45:46 -07:00
James R. Barlow b3324c3b4e Don't assume /Mask is always a Stream
Fixes #1377
2024-08-31 00:37:52 -07:00
James R. Barlow b38cac6931 Drop wheel from build requires
Not usually needed anymore
2024-08-28 01:31:56 -07:00
Elliott Sales de AndradeandGitHub bb4c47e707 Fix broken test_rotate_page_level (#1382)
Before 42ff7fc842, `make_rotate_test`
always used `resources / 'typewriter.png'`, but after the change the
second call accidentally used just `resources`, which is a directory,
and fails to open.
2024-08-21 01:25:07 -07:00
James R. Barlow 5e1e2497ab Enable Python 3.13 experimental 2024-08-15 01:32:33 -07:00
James R. Barlow cd910fbf21 Improve "PDF/A conversion failed" message 2024-08-10 01:34:02 -07:00
James R. Barlow 1225269a4b Clarify opporutnities available with OCR_JSON_SETTINGS 2024-08-10 01:02:05 -07:00
James R. Barlow 3a75b20740 v16.4.3 release notes 2024-07-31 02:14:12 -07:00
James R. Barlow d35d008806 Increase pdfminer's bufsiz to mitigate token splitting issue
Fixes #1361
2024-07-31 02:11:47 -07:00
James R. Barlow f5662d5eb0 Consider Masks and stencil masks when calculating DPI
Fixes #1362
2024-07-29 15:46:30 -07:00
James R. Barlow 39010dd255 Handle incompatible jbig2.exe from TeX Live
Fixes #1363
2024-07-27 01:09:34 -07:00
James R. Barlow fbaad570c7 v16.4.2 release notes 2024-07-22 15:02:53 -07:00
James R. Barlow f974e3b3c1 ghostscript: change input filename order for 10.03.1
Ghostscript now expects the pdfa.ps file to precede other files. Fixes #1359.
2024-07-22 14:56:03 -07:00
James R. Barlow 46b49cc176 Suppress missing jbig2dec warning message
Windows users can't resolve it easily.
2024-07-22 14:54:40 -07:00
Johannes KalliauerandGitHub 5256e74d0c Update installation.rst "python -m venv .venv" (#1355) 2024-07-18 06:28:07 -07:00
James R. Barlow 621d6a0b89 Fix image size calculation when SMask dimensions do not match image
Closes [Bug]: Ghostscript rasterizing failed #1351
2024-07-16 13:36:48 -07:00
IrisandGitHub 08be7c8bbe update arch base-devel install command (#1354)
the '--needed' flag only installs the package if it isn't installed, otherwise it would reinstall it if already installed.
2024-07-15 13:28:36 -07:00
James R. Barlow 980a5472b6 Fix test failures due to 4dde378 2024-07-09 15:54:53 -07:00
James R. Barlow 51c618e357 Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-07-09 14:46:58 -07:00
James R. Barlow 4dde3786c2 Fix KeyError '/Subtype'
Fixes #1350
2024-07-09 14:46:47 -07:00
James Barlow d544342602 Merge branch 'main' of https://github.com/ocrmypdf/OCRmyPDF 2024-07-04 22:59:33 -07:00
James R. Barlow fac91fca2a v16.4.1 release notes 2024-06-30 00:11:27 -07:00
James R. Barlow 6edf756849 optimize: trap Hifi..Error
Fixes [Bug]: NotImplementedError: not sure how to get colorspace #1315
2024-06-30 00:08:51 -07:00
James R. Barlow 4fb1bb4de6 pipeline: fix typo in message 2024-06-30 00:08:31 -07:00
James Barlow 6a8eb7daaa docs: page seg mode 2024-06-26 01:16:31 -07:00
James R. Barlow 0544d06c3d Fix calculation of image printed area (used in finding weighted DPI for OCR)
Fixes #1334
2024-06-21 15:13:51 -07:00
James R. Barlow 34c285c9ac v16.4.0 release notes (3) 2024-06-17 14:40:22 -07:00
James R. Barlow 2f53b27651 Disable progbar for linearizing when --no-progress-bar set
Fixes #1332
2024-06-14 14:18:33 -07:00
James R. Barlow 772677746b Update issue templates to improve data collection for 3rd party apps 2024-06-13 15:25:50 -07:00
James R. Barlow f0bad87ea6 Restore choco since winget isn't supported (still) 2024-06-13 00:40:05 -07:00
James R. Barlow 44e71f8c14 Attempt to deal with jbig2dec warnings 2024-06-13 00:27:33 -07:00
James R. Barlow 964b30ca26 v16.4.0 release notes (2) 2024-06-11 16:55:33 -07:00
James R. Barlow 214a333e2d Block Tesseract 5.4.0 2024-06-11 14:44:54 -07:00
James R. Barlow ec6401ab57 Merge branch 'pr/helkaluin/1300' 2024-06-09 15:34:19 -07:00
James R. Barlow cbc5e8ce8d Revert "Delete and de-list snap because it no longer works"
This reverts commit 3a721e6578.
2024-06-09 15:32:34 -07:00
James R. Barlow a1c4cfe8f1 Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-06-08 01:37:19 -07:00
James R. Barlow 3a721e6578 Delete and de-list snap because it no longer works 2024-06-08 01:24:47 -07:00
Omid RahaandGitHub e6b716cdde Update docker.rst (#1327) 2024-06-08 01:20:51 -07:00
James R. Barlow 02c39998b8 Note that alpine is now available for arm 2024-06-08 01:20:25 -07:00
James R. Barlow 0774bc7f14 v16.4.0 release notes 2024-06-01 02:01:11 -07:00
James R. Barlow c6a98b3d0b Merge branch 'feature/alpine-arm' 2024-06-01 01:55:26 -07:00
James R. Barlow 981bbf1105 optimize: add a recursion guard to avoid chasing cyclic form xobjects 2024-06-01 01:52:21 -07:00
James R. Barlow 2b0c6cfd40 v16.4.0 release ntoes 2024-06-01 00:26:07 -07:00
James R. Barlow 59f6bc8306 More Tesseract-specific language checks to its plugin 2024-06-01 00:15:50 -07:00
James R. Barlow 653c4ffb45 hocr: accept multiple spaces in bounding boxes
Fixes #1322
2024-05-31 16:22:27 -07:00
James R. Barlow d947ca258e Prevent issuing equ and osd as languages 2024-05-25 01:17:57 -07:00
James R. Barlow d5ff7f7db9 batch: fix issues flagged by ruff 2024-05-21 01:52:57 -07:00
James R. Barlow 579cef3649 watcher: Ensure output files are .pdf 2024-05-21 01:51:30 -07:00
James R. Barlow cb2f090c60 v16.3.1 release notes 2024-05-21 01:39:30 -07:00
James R. Barlow f3d6387bca Fix "OCR" progress bar not matching actual progress 2024-05-21 01:35:14 -07:00
James R. Barlow abf9729c61 Semfree test: accept pdfa conversion failed as a valid return code
Fixes #1316
2024-05-21 01:26:11 -07:00
James R. Barlow 442e9c9f0d Add missing codecov token where missed & drop unneeded brew openssl 2024-05-19 01:07:38 -07:00
James R. Barlow 397fad249d v16.3.0 release notes 2024-05-19 00:50:59 -07:00
James R. Barlow 9a3c5a3f7c Add progressbar for metadata_fixup
Might take time for big files. Pdf.open() potentially is expensive as well, but QPDF doesn't give us progress feedback for that.

Closes Show progress during postprocessing #1313
2024-05-19 00:46:50 -07:00
James R. Barlow 950c700274 Fix Ghostscript PDF/A progressbar not displaying 2024-05-19 00:44:21 -07:00
James R. Barlow 26432c38a9 Raise exception if rotate pages threshold adjusted without --rotate-pages
Fixes Make usage of --rotate-pages-threshold clearer #1309
2024-05-18 23:49:27 -07:00
James R. Barlow 28be50136c hocr: If a line box's coords are invalid, log and error and don't render
Addresses [Bug]: Crash on multiple .pdf files #1312

Not actually a fix, but at least it will get us better diagnostics. Appears old Tesseract 4.x generates bad line boxes at times.
2024-05-18 23:32:18 -07:00
James R. Barlow 0c62f2de5d Issue template: check for EOL OS 2024-05-17 19:51:15 -07:00
James R. Barlow 5caf654f22 Add new codecov token 2024-05-11 01:03:41 -07:00
James R. Barlow 205593445e Change test to run on macos x64 and arm64 2024-05-11 00:13:08 -07:00
James R. Barlow f25fb8c63a Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-05-08 00:39:27 -07:00
James R. Barlow 99c78650b6 Add better error message for PDFs with invalid CTMs
Closes #1303
2024-05-07 14:00:30 -07:00
helkaluin 69355886a8 Fix wrong env var for GS path in Snap 2024-04-26 16:45:04 +08:00
Ahmed AbdouandGitHub 08e89e2dbe Adding language install docs for archlinux (#1296)
Adding language install docs for archlinux
2024-04-24 14:46:05 -07:00
James R. Barlow 0e013df161 v16.2.0 release notes 2024-04-16 00:37:03 -07:00
James R. Barlow 9ba4e3ab46 Log unusual exceptions when trying to obtain a version
Fixes #1262
2024-04-07 14:39:08 -07:00
James R. Barlow 5fdcb7602b Make downsampling large images that Tesseract would otherwise error on into default behavior
Fixes #1281
2024-04-07 13:43:20 -07:00
James R. Barlow b4db1b741f optimize: fix handling of [/FlateDecode none] - type images
Closes #1271
2024-04-07 01:44:08 -07:00
James R. Barlow 7a8cc21e31 Add support for sidecar output to io.BytesIO
Closes #1252
2024-04-07 01:38:55 -07:00
James R. Barlow 0674829d8f Remove tool.black config 2024-04-07 00:36:52 -07:00
James R. Barlow 315aa0474b Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-04-07 00:34:51 -07:00
Ben BeasleyandGitHub df3451e779 Update the typer[all] dependency to typer-slim[standard] (#1287)
In 0.12.1, Typer was significantly reorganized.

- `typer-slim` is the library (for `import typer`)
- `typer-slim[standard]` adds optional dependencies (currently `rich`
  and `shellingham`, basically equivalent to the old `typer[all]`)
- `typer-cli` is the `typer` command-line tool
- `typer` is now basically a metapackage that brings in *all of the
  above*, and it no longer has an `all` extra

Pip will warn about this and proceed,

```
WARNING: typer 0.12.1 does not provide the extra 'all'
```

but there are other tools that will fail hard when asked to resolve a
(now) nonexistent extra.

Since this project doesn’t need the `typer` command-line tool, it looks
like changing the dependency to `typer-slim[standard]` is the best way
forward.

See https://typer.tiangolo.com/release-notes/#0121 and
tiangolo/typer#785 for further discussion
and details.
2024-04-07 00:34:34 -07:00
akierigandGitHub 3ba42802d1 added Macports install information (#1286) 2024-04-07 00:33:57 -07:00
James R. Barlow d6342cb8c2 Add heif/heic input image support 2024-04-07 00:33:13 -07:00
James R. Barlow 065bddbc6c Reformat with ruff format 2024-04-07 00:25:32 -07:00
James R. Barlow 067f429dde Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-03-26 15:34:00 -07:00
Daniel LovegroveandGitHub 6895c2d70f Fix Broken Documentation Links (#1275)
* Update URL for PDFMARK documentation

For reference, here is a link to the old PDF:
https://web.archive.org/web/20190806035303/https://www.adobe.com/content/dam/acom/en/devnet/acrobat/pdfs/pdfmark_reference.pdf

It appears Adobe converted the PDF into a webpage-based document, the
wording seems to almost identical b/w the PDF and the website.

* Fix cross-references to JBIG2 page

* Fix links for Fedora + Arch + HEAD revision install

Fedora 39 has been released, and the package tracker no longer includes
a release overview for Fedora 37 hence why it was removed here.
2024-03-22 14:38:52 -07:00
James R. Barlow 686481982a Fix naming of hOCR rendered files 2024-03-22 13:27:20 -07:00
331 changed files with 34555 additions and 18777 deletions
+36 -28
View File
@@ -1,7 +1,7 @@
# SPDX-FileCopyrightText: 2022 James R. Barlow
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
FROM ubuntu:22.04 as base
FROM ubuntu:25.04 AS base
ENV LANG=C.UTF-8
ENV TZ=UTC
@@ -9,19 +9,15 @@ RUN echo 'debconf debconf/frontend select Noninteractive' | debconf-set-selectio
RUN apt-get update && apt-get install -y --no-install-recommends \
python3 \
libqpdf-dev \
zlib1g \
liblept5
python-is-python3
FROM base as builder
FROM base AS builder
# Note we need leptonica here to build jbig2
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential autoconf automake libtool \
libleptonica-dev \
zlib1g-dev \
python3-dev \
python3-distutils \
libffi-dev \
ca-certificates \
curl \
@@ -29,42 +25,52 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
libcairo2-dev \
pkg-config
# Get the latest pip (Ubuntu version doesn't support manylinux2010)
RUN \
curl https://bootstrap.pypa.io/get-pip.py | python3
# Compile and install jbig2
# Needs libleptonica-dev, zlib1g-dev
RUN \
mkdir jbig2 \
&& curl -L https://github.com/agl/jbig2enc/archive/ea6a40a.tar.gz | \
&& curl -L https://github.com/agl/jbig2enc/archive/c0141bf.tar.gz | \
tar xz -C jbig2 --strip-components=1 \
&& cd jbig2 \
&& ./autogen.sh && ./configure && make && make install \
&& cd .. \
&& rm -rf jbig2
COPY . /app
WORKDIR /app
RUN pip3 install --no-cache-dir .[test,webservice,watcher]
# Copy uv from ghcr
COPY --from=ghcr.io/astral-sh/uv:0.9.8 /uv /uvx /bin/
ENV UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
COPY . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen \
--extra webservice --extra watcher --no-dev \
--no-install-package pyarrow
FROM base
# For Tesseract 5
RUN apt-get update && apt-get install -y --no-install-recommends \
software-properties-common gpg-agent
RUN add-apt-repository -y ppa:alex-p/tesseract-ocr-devel
RUN apt-get update && apt-get install -y software-properties-common
RUN add-apt-repository -y ppa:alex-p/tesseract-ocr5
RUN apt-get update && apt-get install -y --no-install-recommends \
ghostscript \
fonts-droid-fallback \
fonts-noto-core \
fonts-noto-cjk \
jbig2dec \
img2pdf \
libsm6 libxext6 libxrender-dev \
pngquant \
python-is-python3 \
tesseract-ocr \
tesseract-ocr-chi-sim \
tesseract-ocr-deu \
@@ -80,11 +86,13 @@ WORKDIR /app
COPY --from=builder /usr/local/lib/ /usr/local/lib/
COPY --from=builder /usr/local/bin/ /usr/local/bin/
COPY --from=builder /app/misc/webservice.py /app/
COPY --from=builder /app/misc/watcher.py /app/
COPY --from=builder --chown=app:app /app /app
# Copy minimal project files to get the test suite.
COPY --from=builder /app/pyproject.toml /app/README.md /app/
COPY --from=builder /app/tests /app/tests
RUN rm -rf /app/.git && \
ln -s /app/misc/webservice.py /app/webservice.py && \
ln -s /app/misc/watcher.py /app/watcher.py
ENV PATH="/app/.venv/bin:${PATH}"
ENTRYPOINT ["/app/.venv/bin/ocrmypdf"]
ENTRYPOINT ["/usr/local/bin/ocrmypdf"]
+28 -36
View File
@@ -1,7 +1,7 @@
# SPDX-FileCopyrightText: 2023 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
FROM alpine:3.19 as base
FROM alpine:3.22 AS base
ENV LANG=C.UTF-8
ENV TZ=UTC
@@ -10,40 +10,37 @@ RUN apk add --no-cache \
python3 \
zlib
FROM base as builder
FROM base AS builder
# Yes it really is python3-dev, and py3-package
RUN apk add --no-cache \
ca-certificates \
git \
python3-dev \
py3-pip
# On arm64, we need to build cffi from source.
ARG TARGETPLATFORM
RUN if [ "${TARGETPLATFORM}" == "linux/arm64" ]; then \
apk add --no-cache \
build-base \
autoconf \
automake \
libtool \
zlib-dev \
libffi-dev \
cairo-dev \
pkgconfig \
; \
fi
COPY . /app
py3-pyarrow \
curl
WORKDIR /app
RUN python3 -m venv .venv
COPY --from=ghcr.io/astral-sh/uv:0.9.8 /uv /uvx /bin/
RUN source .venv/bin/activate \
&& python3 -m pip install --no-cache-dir --upgrade pip \
&& python3 -m pip install --no-cache-dir wheel \
&& python3 -m pip install --no-cache-dir .[test,webservice,watcher]
ENV UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy
RUN uv venv --system-site-packages .venv
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
COPY . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen \
--extra webservice --extra watcher --no-dev \
--no-install-package pyarrow
FROM base
@@ -60,23 +57,18 @@ RUN apk add --no-cache \
tesseract-ocr-data-osd \
tesseract-ocr-data-por \
tesseract-ocr-data-spa \
font-noto \
ttf-droid \
unpaper \
&& rm -rf /var/cache/apk/*
WORKDIR /app
COPY --from=builder /usr/local/lib/ /usr/local/lib/
COPY --from=builder /usr/local/bin/ /usr/local/bin/
COPY --from=builder --chown=app:app /app /app
COPY --from=builder /app/.venv/ /app/.venv/
COPY --from=builder /app/misc/webservice.py /app/
COPY --from=builder /app/misc/watcher.py /app/
# Copy minimal project files to get the test suite.
COPY --from=builder /app/pyproject.toml /app/README.md /app/
COPY --from=builder /app/tests /app/tests
RUN rm -rf /app/.git && \
ln -s /app/misc/webservice.py /app/webservice.py && \
ln -s /app/misc/watcher.py /app/watcher.py
ENV PATH="/app/.venv/bin:${PATH}"
+1
View File
@@ -13,5 +13,6 @@
*.jpg binary
*.bin binary
*.afdesign binary
*.ttf binary
.git_archival.txt export-subst
@@ -1,7 +1,7 @@
name: Installation, packaging, dependencies
description: Installation, packages, dependencies, "nothing works", test suite failures...
title: "[Bug]: "
labels: ["bug", "triage"]
labels: ["triage"]
assignees:
- jbarlow83
body:
@@ -24,7 +24,7 @@ body:
- type: dropdown
id: packaging-system
attributes:
label: Where are you installing from?
label: Where are you installing/running from?
multiple: true
options:
- PyPI (pip, poetry, pipx, etc.)
@@ -37,6 +37,11 @@ body:
- source build
validations:
required: true
- type: input
id: version
attributes:
label: OCRmyPDF version
description: Paste "ocrmypdf --version" here
- type: dropdown
id: operating-system
attributes:
@@ -47,6 +52,18 @@ body:
- Windows
- macOS
- BSD
- type: input
id: os_version
attributes:
label: Operating system details and version
- type: checkboxes
attributes:
label: Simple sanity checks
description: Select all that apply
options:
- label: Operating system is currently supported by its vendor (not end of life)
- label: Python version is compatible with OCRmyPDF
- label: This issue is not about a specific input file
- type: textarea
id: logs
attributes:
@@ -1,7 +1,7 @@
name: Problem with specific file
description: Something went wrong while trying to OCR a specific file
title: "[Bug]: "
labels: ["bug", "triage"]
labels: ["triage"]
assignees:
- jbarlow83
body:
@@ -39,7 +39,7 @@ body:
causing the issue. There's really no substitute for a test file.
We understand files may contain personal or sensitive information. Here are some options:
- Try reproducing the issue with a file from the test suite. (See tests/resources)
- Try reproducing the issue with a file from the OCRmyPDF test suite. (See tests/resources)
- Try to create another file in the same way as your private file.
- Encrypt the file to OCRmyPDF's private GPG key, and then zip the GPG file.
- Use ``qpdf --json yourfile.pdf`` to produce a JSON representation of your file that
+83
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@@ -0,0 +1,83 @@
name: Problem with third party app that uses OCRmyPDF
description: |
For PDF generation issues with third party software such as Paperless-ngx that
uses OCRmyPDF to perform OCR or generate PDFs.
title: "[3rdparty]: "
labels: ["triage"]
assignees:
- jbarlow83
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to describe this issue with a particular file
and third party app.
If you are comfortable using OCRmyPDF, please trying to install OCRmyPDF,
run it on your file, and see if it works. It's easier for everyone
if you can confirm that the issue occurs with OCRmyPDF and not with
the third party app.
- type: checkboxes
attributes:
label: Simple sanity checks
description: Select all that apply
options:
- label: This is an issue with an app that uses OCRmyPDF for OCR
- label: I am using a recent version of the third party app
- label: I will include a file that reproduces the issuse
- type: input
id: thirdparty-app-name-version
attributes:
label: Third party app name and version
description: e.g. Paperless-ngx 2.9.0
- type: textarea
id: what-happened
attributes:
label: Describe the bug
description: A clear and concise description of what the bug is.
placeholder: Tell us what you see!
validations:
required: true
- type: textarea
id: reproduce
attributes:
label: Steps to reproduce
description: Please include steps to reproduce.
value: |
1. Import attached file into Paperless-ngx
2. Trigger OCR
3. Check log file
4. ...
render: plain text
- type: textarea
id: files
attributes:
label: Files
description: |
Please attach the input and output files, or any screenshots that may be helpful.
If you cannot provide a test file, we probably won't be able to help with the issue.
PDF is a complex file format, and there may be technical details in the PDF that are
causing the issue. There's really no substitute for a test file.
We understand files may contain personal or sensitive information. Here are some options:
- Try reproducing the issue with a file from the test suite. (See tests/resources)
- Try to create another file in the same way as your private file.
- Encrypt the file to OCRmyPDF's private GPG key, and then zip the GPG file.
- Use ``qpdf --json yourfile.pdf`` to produce a JSON representation of your file that
omits personal information.
placeholder: |
Drag and drop files here.
- type: input
id: version
attributes:
label: OCRmyPDF version
description: Paste "ocrmypdf --version" here
placeholder: ocrmypdf --version
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
placeholder: Run OCRmyPDF with verbosity `-v1` to get more detailed logging output.
render: plain text
+95 -79
View File
@@ -21,46 +21,46 @@ jobs:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-22.04, ubuntu-24.04]
python: ["3.11", "3.12", "3.13", "3.14"]
include:
- os: ubuntu-22.04
python: "3.10"
- os: ubuntu-22.04
tesseract_ppa: "ppa"
python: "3.11"
- os: ubuntu-22.04
python: "3.10"
tesseract5: true
- os: ubuntu-latest
python: "3.12"
tesseract5: true
- os: ubuntu-latest
python: "pypy3.10"
env:
OS: ${{ matrix.os }}
PYTHON: ${{ matrix.python }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v6
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
- uses: actions/setup-python@v5
name: Setup Python
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
version: "0.9.x"
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python }}
cache: "pip"
- name: Install Tesseract 5
if: matrix.tesseract5
- name: Install Tesseract from PPA
if: matrix.tesseract_ppa == 'ppa'
run: |
sudo add-apt-repository -y ppa:alex-p/tesseract-ocr-devel
sudo add-apt-repository -y ppa:alex-p/tesseract-ocr5
- name: Install common packages
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
curl \
fonts-noto-core \
fonts-noto-cjk \
ghostscript \
jbig2dec \
img2pdf \
libexempi8 \
libffi-dev \
@@ -74,18 +74,9 @@ jobs:
unpaper \
zlib1g
- name: Install Ubuntu packages for PyPy
if: startsWith(matrix.python, 'pypy')
run: |
sudo apt-get install -y --no-install-recommends \
libxml2-dev \
libxslt1-dev \
pypy3-dev
- name: Install Python packages
run: |
python -m pip install --upgrade pip wheel
python -m pip install --prefer-binary .[test]
uv sync --group test
- name: Report versions
run: |
@@ -93,14 +84,16 @@ jobs:
gs --version
pngquant --version
unpaper --version
img2pdf --version
uv run --no-dev img2pdf --version
- name: Test
run: |
python -m pytest --cov-report xml --cov=ocrmypdf --cov=tests/ -n0 tests/
uv run --no-dev pytest --cov-report xml --cov=ocrmypdf --cov=tests/ -n0 tests/
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
files: ./coverage.xml
env_vars: OS,PYTHON
@@ -111,14 +104,14 @@ jobs:
strategy:
matrix:
os: [macos-latest]
python: ["3.10", "3.11", "3.12"]
python: ["3.11", "3.12", "3.13", "3.14"]
env:
OS: ${{ matrix.os }}
PYTHON: ${{ matrix.python }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v6
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
@@ -131,34 +124,40 @@ jobs:
ghostscript \
jbig2enc \
openjpeg \
openssl \
pngquant \
tesseract
poppler \
tesseract \
verapdf
- uses: actions/setup-python@v5
name: Setup Python
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
version: "0.9.x"
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python }}
cache: "pip"
- name: Install Python packages
run: |
python -m pip install --upgrade pip wheel
python -m pip install --prefer-binary .[test]
uv sync --group test
- name: Report versions
run: |
tesseract --version
gs --version
pngquant --version
img2pdf --version
uv run --no-dev img2pdf --version
- name: Test
run: |
python -m pytest --cov-report xml --cov=ocrmypdf --cov=tests/ -n0 tests/
uv run --no-dev pytest --cov-report xml --cov=ocrmypdf --cov=tests/ -n0 tests/
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
files: ./coverage.xml
env_vars: OS,PYTHON
@@ -169,39 +168,45 @@ jobs:
strategy:
matrix:
os: [windows-latest]
python: ["3.10", "3.11", "3.12"]
python: ["3.11", "3.12", "3.13", "3.14"]
env:
OS: ${{ matrix.os }}
PYTHON: ${{ matrix.python }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v6
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
- uses: actions/setup-python@v5
name: Setup Python
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
version: "0.9.x"
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python }}
cache: "pip"
- name: Install system packages
run: |
choco install --yes --no-progress --pre tesseract
choco install --yes --no-progress tesseract
choco install --yes --no-progress --ignore-checksums ghostscript --version 9.56.1
choco install --yes --no-progress poppler --version=25.11.0
- name: Install Python packages
run: |
python -m pip install --upgrade pip wheel
python -m pip install --prefer-binary .[test]
uv sync --group test
- name: Test
run: |
python -m pytest --cov-report xml --cov=ocrmypdf --cov=tests/ -n0 tests/
uv run --no-dev pytest --cov-report xml --cov=ocrmypdf --cov=tests/ -n0 tests/
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
files: ./coverage.xml
env_vars: OS,PYTHON
@@ -210,22 +215,20 @@ jobs:
name: Build sdist and wheels
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v6
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
- uses: actions/setup-python@v5
name: Setup Python
- name: Install uv
uses: astral-sh/setup-uv@v7
with:
python-version: "3.10"
cache: "pip"
version: "0.9.x"
- name: Make wheels and sdist
run: |
python -m pip install --upgrade pip wheel build
python -m build --sdist --wheel
uv build --sdist --wheel
- uses: actions/upload-artifact@v4
- uses: actions/upload-artifact@v6
with:
name: artifact
path: |
@@ -238,10 +241,10 @@ jobs:
runs-on: ubuntu-latest
environment: release
permissions:
id-token: write # mandatory for PyPI publishing
id-token: write # mandatory for PyPI publishing
if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v')
steps:
- uses: actions/download-artifact@v4
- uses: actions/download-artifact@v7
with:
name: artifact
path: dist
@@ -251,29 +254,45 @@ jobs:
create_release:
name: Create GitHub release
needs: [wheel_sdist_linux, test_linux, test_macos, test_windows]
needs: [upload_pypi]
runs-on: ubuntu-latest
if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v')
permissions:
# Required to create a release
contents: write
id-token: write
steps:
- uses: actions/download-artifact@v4
- uses: actions/download-artifact@v7
with:
name: artifact
path: dist
- name: Create Release
id: create-release
uses: shogo82148/actions-create-release@v1
- name: Upload Assets
uses: shogo82148/actions-upload-release-asset@v1
- name: Sign the dists with Sigstore
uses: sigstore/gh-action-sigstore-python@v3.2.0
with:
upload_url: ${{ steps.create-release.outputs.upload_url }}
asset_path: |
./dist/*.whl
inputs: |
./dist/*.tar.gz
./dist/*.whl
- name: Create GitHub Release
env:
GITHUB_TOKEN: ${{ github.token }}
run: >-
gh release create
"$GITHUB_REF_NAME"
--repo "$GITHUB_REPOSITORY"
--notes ""
- name: Upload artifact signatures to GitHub Release
env:
GITHUB_TOKEN: ${{ github.token }}
# Upload to GitHub Release using the `gh` CLI.
# `dist/` contains the built packages, and the
# sigstore-produced signatures and certificates.
run: >-
gh release upload
"$GITHUB_REF_NAME" dist/**
--repo "$GITHUB_REPOSITORY"
docker_ubuntu:
name: Build Ubuntu-based Docker image
@@ -294,7 +313,7 @@ jobs:
- name: Set image name
run: echo "DOCKER_IMAGE_NAME=ocrmypdf" >> $GITHUB_ENV
- uses: actions/checkout@v4
- uses: actions/checkout@v6
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
@@ -342,7 +361,7 @@ jobs:
- name: Set image name
run: echo "DOCKER_IMAGE_NAME=ocrmypdf-alpine" >> $GITHUB_ENV
- uses: actions/checkout@v4
- uses: actions/checkout@v6
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
@@ -352,9 +371,6 @@ jobs:
username: jbarlow83
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
@@ -366,6 +382,6 @@ jobs:
run: |
docker buildx build \
--push \
--platform linux/amd64 \
--platform linux/amd64,linux/arm64 \
--tag "${DOCKER_REPOSITORY}/${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_TAG}" \
--file .docker/Dockerfile.alpine .
+32
View File
@@ -0,0 +1,32 @@
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
name: Remove Triage Label on Reply
on:
issue_comment:
types:
- created
jobs:
remove-triage-label:
runs-on: ubuntu-latest
steps:
- name: Check if comment is by the repository owner
id: check_comment
run: |
echo "::set-output name=is_owner::$(
if [[ '${{ github.event.comment.user.login }}' == 'jbarlow83' ]]; then
echo 'true';
else
echo 'false';
fi
)"
- name: Remove 'triage' label
if: ${{ steps.check_comment.outputs.is_owner == 'true' }}
uses: actions-ecosystem/action-remove-labels@v1
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
labels: triage
+5
View File
@@ -44,3 +44,8 @@ docs/_build/
docs/_static/
docs/_templates/
docs/Makefile
src/ocrmypdf/_version.py
.idea/
.aider*
CLAUDE.md
+5 -10
View File
@@ -10,17 +10,12 @@ repos:
- id: check-toml
- id: check-yaml
- id: debug-statements
- repo: https://github.com/charliermarsh/ruff-pre-commit
rev: "v0.0.261"
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: "v0.14.11"
hooks:
- id: ruff
files: "src/.*\\.pyi?$"
args: [--fix, --exit-non-zero-on-fix]
- repo: https://github.com/psf/black
rev: 23.3.0
hooks:
- id: black
language_version: python
- id: ruff-check
args: [--fix]
- id: ruff-format
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.2.0
hooks:
+10 -12
View File
@@ -11,19 +11,17 @@ version: 2
sphinx:
configuration: docs/conf.py
# Optionally build your docs in additional formats such as PDF
formats:
- pdf
# Optionally set the version of Python and requirements required to build your docs
build:
os: ubuntu-22.04
tools:
python: "3.10"
python:
install:
- method: pip
path: .
extra_requirements:
- docs
python: "3.13"
jobs:
pre_create_environment:
- asdf plugin add uv
- asdf install uv latest
- asdf global uv latest
create_environment:
- uv venv "${READTHEDOCS_VIRTUALENV_PATH}"
install:
- UV_PROJECT_ENVIRONMENT="${READTHEDOCS_VIRTUALENV_PATH}" uv sync --frozen --group docs
-140
View File
@@ -1,140 +0,0 @@
Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
Upstream-Name: OCRmyPDF
Upstream-Contact: James R. Barlow <james@purplerock.ca>
Source: https://github.com/ocrmypdf/OCRmyPDF
Files:
.git_archival.txt
docs/images/logo-social.png
docs/images/logo-square-256.svg
docs/images/logo-square.png
docs/images/logo-square.svg
docs/images/logo.svg
Copyright: (C) 2022 James R. Barlow
License: MPL-2.0
Files:
.github/ISSUE_TEMPLATE/*.yml
docs/images/macos-workflow.png
Copyright: (C) 2023 James R. Barlow
License: CC-BY-SA-4.0
Files:
tests/resources/acroform.pdf
tests/resources/aspect.pdf
tests/resources/blank.pdf
tests/resources/cmyk.pdf
tests/resources/crom.png
tests/resources/enormous.pdf
tests/resources/formxobject.pdf
tests/resources/francais.pdf
tests/resources/hugemono.pdf
tests/resources/invalid.pdf
tests/resources/kcs.pdf
tests/resources/livecycle.pdf
tests/resources/meta.pdf
tests/resources/missing_docinfo.pdf
tests/resources/negzero.pdf
tests/resources/no_contents.pdf
tests/resources/tagged*
tests/resources/toc.pdf
tests/resources/trivial.pdf
tests/resources/truetype_font_nomapping.pdf
tests/resources/type3_font_nomapping.pdf
Copyright: (C) 2023 James R. Barlow
License: CC-BY-SA-4.0
Files:
tests/resources/graph.pdf
tests/resources/graph_ocred.pdf
Copyright: (C) 2012 SmokeyJoe
License: GFDL-1.2-or-later or CC-BY-SA-3.0
Files: tests/resources/c02-22.pdf
tests/resources/multipage.pdf
Copyright: Public domain
License: public-domain
Copyright on these files has expired.
Files: docs/images/bitmap_vs_svg.svg
Copyright: (C) 2006 Yug
License: CC-BY-SA-2.5
Files: tests/cache/*
Copyright: (C) 2022 James R. Barlow
License: CC-BY-SA-4.0
Files: tests/resources/linn.png
tests/resources/linn.pdf
tests/resources/linn.txt
tests/resources/ccitt.pdf
tests/resources/cardinal.pdf
tests/resources/jbig2.pdf
tests/resources/jbig2_baddevicen.pdf
tests/resources/skew.pdf
tests/resources/rotated_skew.pdf
tests/resources/poster.pdf
Copyright: (C) 1985 Forat Electronics
License: GFDL-1.2-or-later or CC-BY-SA-3.0
Files: tests/resources/lichtenstein.pdf
Copyright: (C) 2001 Andreas Tille
(C) 2007 Alessio Damato
License: GFDL-1.2-or-later or CC-BY-SA-3.0
Files: tests/resources/masks.pdf
Copyright: held by the contributors to the German Wikipedia article "Linux"
see: https://de.wikipedia.org/w/index.php?title=Linux&action=history
(masks.pdf generated from Wikipedia article as of 2016-08-24)
License: CC-BY-SA-3.0
Files: tests/resources/epson.pdf
Copyright: held by the contributors to the Wikipedia article "Optical character recognition"
see: https://en.wikipedia.org/w/index.php?title=Optical_character_recognition&action=history
(epson.pdf generated from Wikipedia article as of 2016-09-14)
License: CC-BY-SA-3.0
Files: tests/resources/typewriter.png tests/resources/2400dpi.pdf
Copyright: (C) 2005 Ellywa
License: GFDL-1.2-or-later or CC-BY-SA-1.0 or CC-BY-SA-2.0 or CC-BY-SA-2.5 or CC-BY-SA-3.0
Comment:
Obtained from: https://commons.wikimedia.org/wiki/File:Triumph.typewriter_text_Linzensoep.gif
Files: tests/resources/overlay.pdf
Copyright: (C) 2017 Max Anderson
License: MIT
Files:
tests/resources/baiona*.png
tests/resources/baiona*.jpg
tests/resources/link.pdf
tests/resources/palette.pdf
Copyright: (C) 2014 Euskaldunaa
License: CC-BY-SA-4.0
Files: tests/resources/vector.pdf
Copyright: (C) 2018 Catscratch
License: MIT
Files: src/ocrmypdf/data/sRGB.icc
Copyright: Kai-Uwe Behrmann <www.behrmann.name>
Marti Maria <www.littlecms.com>
Photogamut <www.photogamut.org>
Graeme Gill <www.argyllcms.com>
ColorSolutions <www.basICColor.com>
License: Zlib
Files: src/ocrmypdf/data/pdf.ttf
Copyright: (C) 2014 Ray Smith
(C) 2015 Ken Sharp
(C) 2016 James R. Barlow
(C) 2016 Jeff Breidenbach
(C) 2017 Zdenko Podobný
License: Apache-2.0
Files: tests/resources/3small.pdf
Copyright: (C) 2014 Euskaldunaa
(C) 2017 James R. Barlow
(C) 2005 Ellywa
License: CC-BY-SA-4.0 and (GFDL-1.2-or-later or CC-BY-SA-1.0 or CC-BY-SA-2.0 or CC-BY-SA-2.5 or CC-BY-SA-3.0)
Comment: concatenation of baiona_gray.png, crom.png and typewriter.png/2400dpi.pdf
+73
View File
@@ -0,0 +1,73 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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+49 -4
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@@ -70,10 +70,11 @@ Linux, Windows, macOS and FreeBSD are supported. Docker images are also availabl
| Windows Subsystem for Linux | ``apt install ocrmypdf`` |
| Fedora | ``dnf install ocrmypdf`` |
| macOS (Homebrew) | ``brew install ocrmypdf`` |
| macOS (MacPorts) | ``port install ocrmypdf`` |
| macOS (nix) | ``nix-env -i ocrmypdf`` |
| LinuxBrew | ``brew install ocrmypdf`` |
| FreeBSD | ``pkg install py-ocrmypdf`` |
| Conda | ``conda install ocrmypdf`` |
| OpenBSD | ``pkg_add ocrmypdf`` |
| Ubuntu Snap | ``snap install ocrmypdf`` |
For everyone else, [see our documentation](https://ocrmypdf.readthedocs.io/en/latest/installation.html) for installation steps.
@@ -83,17 +84,27 @@ For everyone else, [see our documentation](https://ocrmypdf.readthedocs.io/en/la
OCRmyPDF uses Tesseract for OCR, and relies on its language packs. For Linux users, you can often find packages that provide language packs:
```bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Debian/Ubuntu users
apt-cache search tesseract-ocr # Display a list of all Tesseract language packs
apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified language pack
# Arch Linux users
pacman -S tesseract-data-eng tesseract-data-deu # Example: Install the English and German language packs
# OpenBSD users
pkg_info -aQ tesseract # Display a list of all Tesseract language packs
pkg_add tesseract-cym # Example: Install the Welsh language pack
# brew macOS users
brew install tesseract-lang
# Fedora users
dnf search tesseract-langpack # Display a list of all Tesseract language packs
dnf install tesseract-langpack-ita # Example: Install the Italian language pack
```
You can then pass the `-l LANG` argument to OCRmyPDF to give a hint as to what languages it should search for. Multiple languages can be requested.
@@ -112,9 +123,43 @@ Our [documentation is served on Read the Docs](https://ocrmypdf.readthedocs.io/e
Please report issues on our [GitHub issues](https://github.com/ocrmypdf/OCRmyPDF/issues) page, and follow the issue template for quick response.
## Feature demo
```bash
# Add an OCR layer and require PDF/A
ocrmypdf --output-type pdfa input.pdf output.pdf
# Convert an image to single page PDF
ocrmypdf input.jpg output.pdf
# Add OCR to a file in place (only modifies file on success)
ocrmypdf myfile.pdf myfile.pdf
# OCR with non-English languages (look up your language's ISO 639-3 code)
ocrmypdf -l fra LeParisien.pdf LeParisien.pdf
# OCR multilingual documents
ocrmypdf -l eng+fra Bilingual-English-French.pdf Bilingual-English-French.pdf
# Deskew (straighten crooked pages)
ocrmypdf --deskew input.pdf output.pdf
```
For more features, see the [documentation](https://ocrmypdf.readthedocs.io/en/latest/index.html).
## Requirements
In addition to the required Python version (3.8+), OCRmyPDF requires external program installations of Ghostscript and Tesseract OCR. OCRmyPDF is pure Python, and runs on pretty much everything: Linux, macOS, Windows and FreeBSD.
In addition to the required Python version, OCRmyPDF requires external program installations of Ghostscript and Tesseract OCR. OCRmyPDF is pure Python, and runs on pretty much everything: Linux, macOS, Windows and FreeBSD.
## Plugins
OCRmyPDF provides a plugin interface allowing its capabilities to be extended or replaced. Here are some plugins we are aware of:
- [OCRmyPDF-AppleOCR](https://github.com/mkyt/ocrmypdf-AppleOCR): replaces the standard Tesseract OCR engine with Apple Vision Framework. Requires macOS.
- [OCRmyPDF-EasyOCR](https://github.com/ocrmypdf/OCRmyPDF-EasyOCR): replaces the standard Tesseract OCR engine with EasyOCR, a newer OCR engine based on PyTorch. GPU strongly recommended.
- [OCRmyPDF-PaddleOCR](https://github.com/clefru/ocrmypdf-paddleocr): replaces the standard Tesseract OCR engine with PaddleOCR, a powerful GPU accelerated OCR engine.
[paperless-ngx](https://docs.paperless-ngx.com/) provides integration of OCRmyPDF into a searchable document management system.
## Press & Media
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# OCRmyPDF 中文说明
我将为您创建一个中文版的 README.md 文件。以下是基于原始英文版本的中文翻译:
```markdown:/Users/huapai/PycharmProjects/OCRmyPDF/README.md
<!-- SPDX-FileCopyrightText: 2014 Julien Pfefferkorn -->
<!-- SPDX-FileCopyrightText: 2015 James R. Barlow -->
<!-- SPDX-License-Identifier: CC-BY-SA-4.0 -->
<img src="docs/images/logo.svg" width="240" alt="OCRmyPDF">
[![构建状态](https://github.com/ocrmypdf/OCRmyPDF/actions/workflows/build.yml/badge.svg)](https://github.com/ocrmypdf/OCRmyPDF/actions/workflows/build.yml) [![PyPI 版本][pypi]](https://pypi.org/project/ocrmypdf/) ![Homebrew 版本][homebrew] ![ReadTheDocs][docs] ![Python 版本][pyversions]
[pypi]: https://img.shields.io/pypi/v/ocrmypdf.svg "PyPI 版本"
[homebrew]: https://img.shields.io/homebrew/v/ocrmypdf.svg "Homebrew 版本"
[docs]: https://readthedocs.org/projects/ocrmypdf/badge/?version=latest "RTD"
[pyversions]: https://img.shields.io/pypi/pyversions/ocrmypdf "支持的 Python 版本"
OCRmyPDF 为扫描的 PDF 文件添加 OCR 文本层,使其可以被搜索或复制粘贴。
```bash
ocrmypdf # 这是一个可脚本化的命令行程序
-l eng+fra # 支持多种语言
--rotate-pages # 可以修正旋转错误的页面
--deskew # 可以校正倾斜的 PDF!
--title "My PDF" # 可以更改输出元数据
--jobs 4 # 默认使用多核心处理
--output-type pdfa # 默认生成 PDF/A 格式
input_scanned.pdf # 接受 PDF 输入(或图像)
output_searchable.pdf # 生成经过验证的 PDF 输出
```
[查看发布说明了解最新变更的详情](https://ocrmypdf.readthedocs.io/en/latest/release_notes.html)。
## 主要特点
- 从普通 PDF 生成可搜索的 [PDF/A](https://en.wikipedia.org/?title=PDF/A) 文件
- 准确地将 OCR 文本放置在图像下方,便于复制/粘贴
- 保持原始嵌入图像的精确分辨率
- 在可能的情况下,以"无损"操作方式插入 OCR 信息,不破坏任何其他内容
- 优化 PDF 图像,通常生成比输入文件更小的文件
- 如果需要,在执行 OCR 前对图像进行校正和/或清理
- 验证输入和输出文件
- 在所有可用的 CPU 核心上分配工作
- 使用 [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) 引擎识别超过 [100 种语言](https://github.com/tesseract-ocr/tessdata)
- 保护您的私人数据安全
- 适当扩展以处理包含数千页的文件
- 在数百万 PDF 上经过实战测试
<img src="misc/screencast/demo.svg" alt="终端会话中的 OCRmyPDF 演示">
详情请参阅[文档](https://ocrmypdf.readthedocs.io/en/latest/)。
## 开发动机
我在网上搜索免费的命令行工具来对 PDF 文件进行 OCR:我找到了很多,但没有一个真正令人满意:
- 要么它们生成的 PDF 文件中文本位置错误(使复制/粘贴变得不可能)
- 要么它们不处理重音和多语言字符
- 要么它们改变了嵌入图像的分辨率
- 要么它们生成了体积巨大的 PDF 文件
- 要么它们在尝试 OCR 时崩溃
- 要么它们不生成有效的 PDF 文件
- 最重要的是,它们都不生成 PDF/A 文件(专为长期存储设计的格式)
...所以我决定开发自己的工具。
## 安装
支持 Linux、Windows、macOS 和 FreeBSD。Docker 镜像也可用,同时支持 x64 和 ARM。
| 操作系统 | 安装命令 |
| --------------------------- | ----------------------------- |
| Debian, Ubuntu | ``apt install ocrmypdf`` |
| Windows Subsystem for Linux | ``apt install ocrmypdf`` |
| Fedora | ``dnf install ocrmypdf`` |
| macOS (Homebrew) | ``brew install ocrmypdf`` |
| macOS (MacPorts) | ``port install ocrmypdf`` |
| macOS (nix) | ``nix-env -i ocrmypdf`` |
| LinuxBrew | ``brew install ocrmypdf`` |
| FreeBSD | ``pkg install py-ocrmypdf`` |
| Ubuntu Snap | ``snap install ocrmypdf`` |
对于其他用户,[请参阅我们的文档](https://ocrmypdf.readthedocs.io/en/latest/installation.html)了解安装步骤。
## 语言
OCRmyPDF 使用 Tesseract 进行 OCR,并依赖其语言包。对于 Linux 用户,您通常可以找到提供语言包的软件包:
```bash
# 显示所有 Tesseract 语言包的列表
apt-cache search tesseract-ocr
# Debian/Ubuntu 用户
apt-get install tesseract-ocr-chi-sim # 示例:安装中文简体语言包
# Arch Linux 用户
pacman -S tesseract-data-eng tesseract-data-deu # 示例:安装英语和德语语言包
# brew macOS 用户
brew install tesseract-lang
```
然后,您可以向 OCRmyPDF 传递 `-l LANG` 参数,提示它应该搜索哪些语言。可以请求多种语言。
OCRmyPDF 支持 Tesseract 4.1.1+。它会自动使用在 `PATH` 环境变量中首先找到的版本。在 Windows 上,如果 `PATH` 不提供 Tesseract 二进制文件,我们会根据 Windows 注册表使用已安装的最高版本号。
## 文档和支持
安装 OCRmyPDF 后,可以通过以下方式访问内置帮助,解释命令语法和选项:
```bash
ocrmypdf --help
```
我们的[文档托管在 Read the Docs 上](https://ocrmypdf.readthedocs.io/en/latest/index.html)。
请在我们的 [GitHub issues](https://github.com/ocrmypdf/OCRmyPDF/issues) 页面上报告问题,并遵循问题模板以获得快速响应。
## 功能演示
```bash
# 添加 OCR 层并转换为 PDF/A
ocrmypdf input.pdf output.pdf
# 将图像转换为单页 PDF
ocrmypdf input.jpg output.pdf
# 就地为文件添加 OCR(仅在成功时修改文件)
ocrmypdf myfile.pdf myfile.pdf
# 使用非英语语言进行 OCR(查找您语言的 ISO 639-3 代码)
ocrmypdf -l fra LeParisien.pdf LeParisien.pdf
# OCR 多语言文档
ocrmypdf -l eng+fra Bilingual-English-French.pdf Bilingual-English-French.pdf
# 校正(矫正倾斜的页面)
ocrmypdf --deskew input.pdf output.pdf
```
更多功能,请参阅[文档](https://ocrmypdf.readthedocs.io/en/latest/index.html)。
## 要求
除了所需的 Python 版本外,OCRmyPDF 还需要外部程序安装 Ghostscript 和 Tesseract OCR。OCRmyPDF 是纯 Python 编写的,几乎可以在所有平台上运行:Linux、macOS、Windows 和 FreeBSD。
## 媒体报道
- [使用 OCRmyPDF 实现无纸化](https://medium.com/@ikirichenko/going-paperless-with-ocrmypdf-e2f36143f46a)
- [将扫描文档转换为带有编辑的压缩可搜索 PDF](https://medium.com/@treyharris/converting-a-scanned-document-into-a-compressed-searchable-pdf-with-redactions-63f61c34fe4c)
- [c't 1-2014, 第 59 页](https://heise.de/-2279695):在德国领先的 IT 杂志 c't 中详细介绍 OCRmyPDF v1.0
- [heise Open Source, 09/2014: 使用 OCRmyPDF 进行文本识别](https://heise.de/-2356670)
- [heise 使用 OCRmyPDF 创建可搜索的 PDF 文档](https://www.heise.de/ratgeber/Durchsuchbare-PDF-Dokumente-mit-OCRmyPDF-erstellen-4607592.html)
- [优秀实用工具:OCRmyPDF](https://www.linuxlinks.com/excellent-utilities-ocrmypdf-add-ocr-text-layer-scanned-pdfs/)
- [LinuxUser 使用 OCRmyPDF 和 Scanbd 自动化文本识别](https://www.linux-community.de/ausgaben/linuxuser/2021/06/texterkennung-mit-ocrmypdf-und-scanbd-automatisieren/)
- [Y Combinator 讨论](https://news.ycombinator.com/item?id=32028752)
## 商业咨询
如果没有公司和用户选择为功能开发和咨询提供支持,OCRmyPDF 就不会成为今天的软件。我们很乐意讨论所有咨询,无论是扩展现有功能集,还是将 OCRmyPDF 集成到更大的系统中。
## 许可证
OCRmyPDF 软件根据 Mozilla 公共许可证 2.0 (MPL-2.0) 授权。此许可证允许将 OCRmyPDF 与其他代码集成,包括商业和闭源代码,但要求您发布对 OCRmyPDF 所做的源代码级修改。
OCRmyPDF 的某些组件有其他许可证,如标准 SPDX 许可证标识符或 DEP5 版权和许可信息文件所示。一般来说,非核心代码根据 MIT 许可,文档和测试文件根据 Creative Commons ShareAlike 4.0 (CC-BY-SA 4.0) 许可。
## 免责声明
本软件按"原样"分发,不提供任何明示或暗示的保证或条件。
这份中文版 README.md 保留了原始文档的所有重要信息,包括功能介绍、安装说明、语言支持、使用示例等内容,同时保持了原始格式和结构。
+184
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"(C) 2005 Ellywa",
]
SPDX-License-Identifier = "CC-BY-SA-4.0 and (GFDL-1.2-or-later or CC-BY-SA-1.0 or CC-BY-SA-2.0 or CC-BY-SA-2.5 or CC-BY-SA-3.0)"
SPDX-FileComment = "concatenation of baiona_gray.png, crom.png and typewriter.png/2400dpi.pdf"
+613
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@@ -0,0 +1,613 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Advanced features
## Control of unpaper
OCRmyPDF uses `unpaper` to provide the implementation of the
`--clean` and `--clean-final` arguments.
[unpaper](https://github.com/Flameeyes/unpaper/blob/main/doc/basic-concepts.md)
provides a variety of image processing filters to improve images.
By default, OCRmyPDF uses only `unpaper` arguments that were found to
be safe to use on almost all files without having to inspect every page
of the file afterwards. This is particularly true when only `--clean`
is used, since that instructs OCRmyPDF to only clean the image before
OCR and not the final image.
However, if you wish to use the more aggressive options in `unpaper`,
you may use `--unpaper-args '...'` to override the OCRmyPDF's defaults
and forward other arguments to unpaper. This option will forward
arguments to `unpaper` without any knowledge of what that program
considers to be valid arguments. The string of arguments must be quoted
as shown in the examples below. No filename arguments may be included.
OCRmyPDF will assume it can append input and output filename of
intermediate images to the `--unpaper-args` string.
In this example, we tell `unpaper` to expect two pages of text on a
sheet (image), such as occurs when two facing pages of a book are
scanned. `unpaper` uses this information to deskew each independently
and clean up the margins of both.
```bash
ocrmypdf --clean --clean-final --unpaper-args '--layout double' input.pdf output.pdf
ocrmypdf --clean --clean-final --unpaper-args '--layout double --no-noisefilter' input.pdf output.pdf
```
:::{warning}
Some `unpaper` features will reposition text within the image.
`--clean-final` is recommended to avoid this issue.
:::
:::{warning}
Some `unpaper` features cause multiple input or output files to be
consumed or produced. OCRmyPDF requires `unpaper` to consume one
file and produce one file; errors will result if this assumption is not
met.
:::
:::{note}
`unpaper` uses uncompressed PBM/PGM/PPM files for its intermediate
files. For large images or documents, it can take a lot of temporary
disk space.
:::
## Control of OCR options
OCRmyPDF provides many features to control the behavior of the OCR
engine, Tesseract.
### OCR processing mode
:::{versionadded} 17.0.0
The `--mode` (`-m`) argument consolidates OCR processing options.
:::
OCRmyPDF provides a unified `--mode` argument to control how pages with
existing text are handled:
| Mode | Behavior | Legacy equivalent |
|------|----------|-------------------|
| `default` | Error if text is found | (no flag) |
| `force` | Rasterize all content and run OCR | `--force-ocr` |
| `skip` | Skip pages with existing text | `--skip-text` |
| `redo` | Re-OCR pages, stripping old OCR layer | `--redo-ocr` |
```bash
# Skip pages that already have text
ocrmypdf --mode skip input.pdf output.pdf
# or equivalently:
ocrmypdf -m skip input.pdf output.pdf
# Force OCR on all pages (rasterizes everything)
ocrmypdf --mode force input.pdf output.pdf
# Re-do OCR, replacing old invisible text
ocrmypdf --mode redo input.pdf output.pdf
```
The legacy flags (`--force-ocr`, `--skip-text`, `--redo-ocr`) remain as
silent aliases for backward compatibility.
### When OCR is skipped
If a page in a PDF seems to have text, by default OCRmyPDF will exit
without modifying the PDF. This is to ensure that PDFs that were
previously OCRed or were "born digital" rather than scanned are not
processed.
If `--mode skip` (or `--skip-text`) is issued, then no image processing or OCR will be
performed on pages that already have text. The page will be copied to
the output. This may be useful for documents that contain both "born
digital" and scanned content, or to use OCRmyPDF to normalize and
convert to PDF/A regardless of their contents.
If `--mode redo` (or `--redo-ocr`) is issued, then a detailed text analysis is performed.
Text is categorized as either visible or invisible. Invisible text (OCR)
is stripped out. Then an image of each page is created with visible text
masked out. The page image is sent for OCR, and any additional text is
inserted as OCR. If a file contains a mix of text and bitmap images that
contain text, OCRmyPDF will locate the additional text in images without
disrupting the existing text. Some PDF OCR solutions render text as
technically printable or visible in some way, perhaps by drawing it and
then painting over it. OCRmyPDF cannot distinguish this type of OCR
text from real text, so it will not be "redone".
If `--mode force` (or `--force-ocr`) is issued, then all pages will be rasterized to
images, discarding any hidden OCR text, rasterizing any printable
text, and flattening form fields or interactive objects into their visual
representation. This is useful for redoing OCR, for fixing OCR text
with a damaged character map (text is selectable but not searchable),
and destroying redacted information.
### Time and image size limits
By default, OCRmyPDF permits tesseract to run for three minutes (180
seconds) per page. This is usually more than enough time to find all
text on a reasonably sized page with modern hardware.
If a page is skipped, it will be inserted without OCR. If preprocessing
was requested, the preprocessed image layer will be inserted.
If you want to adjust the amount of time spent on OCR, change
`--tesseract-timeout`. You can also automatically skip images that
exceed a certain number of megapixels with `--skip-big`. (A 300 DPI,
8.5×11" page image is 8.4 megapixels.)
```bash
# Allow 300 seconds for OCR; skip any page larger than 50 megapixels
ocrmypdf --tesseract-timeout 300 --skip-big 50 bigfile.pdf output.pdf
```
### OCR for huge images
Tesseract has internal limits on the size
of images it will process. By default,
`--tesseract-downsample-large-images` is enabled, and OCRmyPDF will
downsample images to fit Tesseract limits. (The limits are usually encountered
only for scanned images of oversized media, such as large maps or blueprints exceeding
110 cm or 43 inches in either dimension, and at high DPI.) This feature can disabled
using `--no-tesseract-downsample-large-images`.
`--tesseract-downsample-above Npixels` adjusts the threshold at which images
will be downsampled. By default, only images that exceed any of Tesseract's
internal limits are downsampled (32767 pixels on either dimension).
You will also need to set `--tesseract-timeout` high enough to allow
for processing.
Only the image sent for OCR is downsampled. The original image is
preserved.
```bash
# Allow 600 seconds for OCR on huge images
ocrmypdf --tesseract-timeout 600 \
--tesseract-downsample-large-images \
bigfile.pdf output.pdf
# Downsample images above 5000 pixels on the longest dimension to
# 5000 pixels
ocrmypdf --tesseract-timeout 120 \
--tesseract-downsample-large-images \
--tesseract-downsample-above 5000 \
bigfile.pdf output_downsampled_ocr.pdf
```
### Overriding default tesseract
OCRmyPDF checks the system `PATH` for the `tesseract` binary.
Some relevant environment variables that influence Tesseract's behavior
include:
```{eval-rst}
.. envvar:: TESSDATA_PREFIX
Overrides the path to Tesseract's data files. This can allow
simultaneous installation of the "best" and "fast" training data
sets. OCRmyPDF does not manage this environment variable.
```
```{eval-rst}
.. envvar:: OMP_THREAD_LIMIT
Controls the number of threads Tesseract will use. OCRmyPDF will
manage this environment variable if it is not already set.
```
For example, if you have a development build of Tesseract don't wish to
use the system installation, you can launch OCRmyPDF as follows:
```bash
env \
PATH=/home/user/src/tesseract/api:$PATH \
TESSDATA_PREFIX=/home/user/src/tesseract \
ocrmypdf input.pdf output.pdf
```
In this example `TESSDATA_PREFIX` is required to redirect Tesseract to
an alternate folder for its "tessdata" files.
### Overriding other support programs
In addition to tesseract, OCRmyPDF uses the following external binaries:
- `gs` (Ghostscript)
- `unpaper`
- `pngquant`
- `jbig2`
In each case OCRmyPDF will search the `PATH` environment variable to
locate the binaries. By modifying the `PATH` environment variable, you
can override the binaries that OCRmyPDF uses.
### Changing Tesseract configuration variables
You can override Tesseract's default [control
parameters](https://tesseract-ocr.github.io/tessdoc/tess3/ControlParams.html)
with a configuration file.
As an example, this configuration will disable Tesseract's dictionary
for current language. Normally the dictionary is helpful for
interpolating words that are unclear, but it may interfere with OCR if
the document does not contain many words (for example, a list of part
numbers).
Create a file named "no-dict.cfg" with these contents:
```
load_system_dawg 0
language_model_penalty_non_dict_word 0
language_model_penalty_non_freq_dict_word 0
```
then run ocrmypdf as follows (along with any other desired arguments):
```bash
ocrmypdf --tesseract-config no-dict.cfg input.pdf output.pdf
```
:::{warning}
Some combinations of control parameters will break Tesseract or break
assumptions that OCRmyPDF makes about Tesseract's output.
:::
### Changing page segmentation mode
The directive `--tesseract-pagesegmode Nmode` forwards the desired page segmentation
mode to Tesseract OCR. The default is 3.
Page segmentation can improve OCR results when you know that a PDF ought to be
analyzed a particular way, such as PDFs whose pages contain only a single line of
text. For the vast majority of users, changing the page segmentation mode will only
make things worse.
As of June 2024, the Tesseract page segmentation modes are:
| ID | Description |
| --- | --------------------------------------------------------------------------------------------- |
| 0 | Orientation and script detection (OSD) only. |
| 1 | Automatic page segmentation with OSD. |
| 2 | Automatic page segmentation, but no OSD, or OCR. (not implemented) |
| 3 | Fully automatic page segmentation, but no OSD. (Default) |
| 4 | Assume a single column of text of variable sizes. |
| 5 | Assume a single uniform block of vertically aligned text. |
| 6 | Assume a single uniform block of text. |
| 7 | Treat the image as a single text line. |
| 8 | Treat the image as a single word. |
| 9 | Treat the image as a single word in a circle. |
| 10 | Treat the image as a single character. |
| 11 | Sparse text. Find as much text as possible in no particular order. |
| 12 | Sparse text with OSD. |
| 13 | Raw line. Treat the image as a single text line, bypassing hacks that are Tesseract-specific. |
Modes 0, 1, 2, and 12 (all of those that enable orientation and script detection)
are not compatible with OCRmyPDF, which performs OSD in a separate step from OCR.
Their use may interfere with `--rotate-pages` and other features.
It is currently not possible to use advanced Tesseract OCR features, such as creating
OCR information, when using Tesseract through OCRmyPDF.
## Choosing a PDF rasterizer
:::{versionadded} 17.0.0
:::
rasterizing
: Converting a PDF page to an image for OCR processing.
OCRmyPDF supports two PDF rasterizers:
| Rasterizer | Package | Advantages | Disadvantages |
|------------|---------|------------|---------------|
| pypdfium2 | Python package | Faster, fewer version issues | Requires pypdfium2 package |
| Ghostscript | System binary | More widely packaged | Version consistency issues, restrictive AGPLv3 |
The `--rasterizer` argument controls which rasterizer is used:
```bash
# Automatic selection (default) - prefers pypdfium when available
ocrmypdf --rasterizer auto input.pdf output.pdf
# Force pypdfium2
ocrmypdf --rasterizer pypdfium input.pdf output.pdf
# Force Ghostscript
ocrmypdf --rasterizer ghostscript input.pdf output.pdf
```
pypdfium2 is a Python binding for pdfium, the PDF rendering library used
by Google Chrome and Chromium. It generally produces output identical to
Ghostscript but with better performance.
:::{note}
If pypdfium2 is not installed and `--rasterizer pypdfium` is requested,
OCRmyPDF will exit with an error. Install it with: `pip install pypdfium2`
:::
## Changing the PDF renderer
rendering
: Creating a new PDF from other data (such as an existing PDF).
:::{versionchanged} 17.0.0
The fpdf2 renderer is now the default, replacing the legacy hOCR renderer.
:::
OCRmyPDF uses PDF renderers to create the invisible text layer. The
renderer may be selected using `--pdf-renderer`. The default is
`auto` which selects `fpdf2`.
### The `fpdf2` renderer (default)
:::{versionadded} 17.0.0
:::
The fpdf2 renderer creates text layers using the fpdf2 library. It provides:
- Full multilingual support including RTL languages (Arabic, Hebrew, Persian)
- Accurate text positioning aligned with OCR bounding boxes
- Improved "Occulta" glyphless font handling:
- Zero-width markers are properly handled
- Double-width CJK characters are properly sized
- Direct OcrElement tree input (no hOCR intermediate format required)
The fpdf2 renderer is the recommended choice for all installations.
:::{note}
The fpdf2 renderer may be slightly slower than the legacy hocrtransform
renderer for some workloads. This is an area of ongoing optimization.
:::
In both renderers, a text-only layer is rendered and sandwiched (overlaid)
on to either the original PDF page, or newly rasterized version of the
original PDF page (when `--mode force` is used). In this way, loss
of PDF information is generally avoided. (You may need to disable PDF/A
conversion and optimization to eliminate all lossy transformations.)
### The `sandwich` renderer
The `sandwich` renderer uses Tesseract's text-only PDF feature,
which produces a PDF page that lays out the OCR in invisible text.
Currently some problematic PDF viewers like Mozilla PDF.js and macOS
Preview have problems with segmenting its text output, and
mightrunseveralwordstogether. It also does not implement right to left
fonts (Arabic, Hebrew, Persian). The output of this renderer cannot
be edited. The sandwich renderer is retained for testing.
When image preprocessing features like `--deskew` are used, the
original PDF will be rendered as a full page and the OCR layer will be
placed on top.
### Legacy renderer options
The `hocr` and `hocrdebug` renderer options are deprecated and
automatically redirect to `fpdf2`. They will be removed in a future version.
## Rendering and rasterizing options
:::{versionadded} 14.3.0
:::
The `--continue-on-soft-render-error` option allows OCRmyPDF to
proceed if a page cannot be rasterized/rendered. This is useful if you are
trying to get the best possible OCR from a PDF that is not well-formed,
and you are willing to accept some pages that may not visually match the
input, and that may not OCR well.
## Color conversion strategy
:::{versionadded} 15.0.0
:::
OCRmyPDF uses Ghostscript to convert PDF to PDF/A. In some cases, this
conversion requires color conversion. The default strategy is to convert
using the `LeaveColorUnchanged` strategy, which preserves the original
color space wherever possible (some rare color spaces might still be
converted).
Usually document scanners produce PDFs in the sRGB color space, and do
not need to be converted, so the default strategy is appropriate.
Suppose that you have a document that was prepared for professional
printing in a Separation or CMYK color space, and text was converted to
curves. In this case, you may want to use a different color conversion
strategy. The `--color-conversion-strategy` option allows you to select a
different strategy, such as `RGB`.
## PDF/A output modes
:::{versionchanged} 17.0.0
The default `--output-type` is now `auto` instead of `pdfa`.
:::
OCRmyPDF can produce PDF/A compliant output for long-term archival. The
`--output-type` argument controls PDF/A conversion:
| Output type | Behavior |
|-------------|----------|
| `auto` | Best-effort PDF/A without requiring Ghostscript (default) |
| `pdfa` | PDF/A-2b via Ghostscript |
| `pdfa-1` | PDF/A-1b via Ghostscript |
| `pdfa-2` | PDF/A-2b via Ghostscript (same as `pdfa`) |
| `pdfa-3` | PDF/A-3b via Ghostscript |
| `pdf` | Standard PDF, no PDF/A conversion |
| `none` | No output file (useful with `--sidecar`) |
### Speculative PDF/A conversion
:::{versionadded} 17.0.0
:::
When `--output-type auto` is used (the default), OCRmyPDF attempts a
fast "speculative" PDF/A conversion that avoids Ghostscript when possible:
1. OCRmyPDF adds an sRGB ICC profile and PDF/A XMP metadata using pikepdf
2. If verapdf is available, it validates the result
3. If validation passes, Ghostscript is skipped entirely
4. If validation fails or verapdf is unavailable, falls back to Ghostscript
This approach is faster and avoids some Ghostscript limitations (such as
image transcoding), but only works for PDFs that are already "mostly"
PDF/A compliant.
### PDF/A conversion flow
The following diagram illustrates the PDF/A conversion decision tree:
```{mermaid}
flowchart TD
A[Start] --> B{--output-type?}
B -->|pdf| C[Output standard PDF]
B -->|pdfa/pdfa-N| D[Use Ghostscript]
B -->|auto| E[Attempt speculative conversion]
E --> F["Add sRGB ICC + XMP metadata (pikepdf)"]
F --> G{verapdf available?}
G -->|No| H{Ghostscript available?}
G -->|Yes| I[Validate with verapdf]
I --> J{Validation passed?}
J -->|Yes| K[Output PDF/A - Ghostscript skipped]
J -->|No| H
H -->|Yes| D
H -->|No| L[Output standard PDF + WARNING]
D --> M[Ghostscript PDF/A conversion]
M --> N[Output PDF/A]
style K fill:#90EE90
style N fill:#90EE90
style L fill:#FFB6C1
```
:::{warning}
**Breaking change:** If neither Ghostscript nor verapdf is installed,
`--output-type auto` will produce a standard PDF instead of PDF/A.
This is a change from previous versions where Ghostscript was required
and PDF/A was always produced.
:::
## Return code policy
OCRmyPDF writes all messages to `stderr`. `stdout` is reserved for
piping output files. `stdin` is reserved for piping input files.
The return codes generated by the OCRmyPDF are considered part of the
stable user interface. They may be imported from
`ocrmypdf.exceptions`.
```{eval-rst}
.. list-table:: Return codes
:widths: 5 35 60
:header-rows: 1
* - Code
- Name
- Interpretation
* - 0
- ``ExitCode.ok``
- Everything worked as expected.
* - 1
- ``ExitCode.bad_args``
- Invalid arguments, exited with an error.
* - 2
- ``ExitCode.input_file``
- The input file does not seem to be a valid PDF.
* - 3
- ``ExitCode.missing_dependency``
- An external program required by OCRmyPDF is missing.
* - 4
- ``ExitCode.invalid_output_pdf``
- An output file was created, but it does not seem to be a valid PDF. The file will be available.
* - 5
- ``ExitCode.file_access_error``
- The user running OCRmyPDF does not have sufficient permissions to read the input file and write the output file.
* - 6
- ``ExitCode.already_done_ocr``
- The file already appears to contain text so it may not need OCR. See output message.
* - 7
- ``ExitCode.child_process_error``
- An error occurred in an external program (child process) and OCRmyPDF cannot continue.
* - 8
- ``ExitCode.encrypted_pdf``
- The input PDF is encrypted. OCRmyPDF does not read encrypted PDFs. Use another program such as ``qpdf`` to remove encryption.
* - 9
- ``ExitCode.invalid_config``
- A custom configuration file was forwarded to Tesseract using ``--tesseract-config``, and Tesseract rejected this file.
* - 10
- ``ExitCode.pdfa_conversion_failed``
- A valid PDF was created, PDF/A conversion failed. The file will be available.
* - 15
- ``ExitCode.other_error``
- Some other error occurred.
* - 130
- ``ExitCode.ctrl_c``
- The program was interrupted by pressing Ctrl+C.
```
(tmpdir)=
## Changing temporary storage location
OCRmyPDF generates many temporary files during processing.
To change where temporary files are stored, change the `TMPDIR`
environment variable for ocrmypdf's environment. (Python's
`tempfile.gettempdir()` returns the root directory in which temporary
files will be stored.) For example, one could redirect `TMPDIR` to a
large RAM disk to avoid wear on HDD/SSD and potentially improve
performance.
On Windows, the `TEMP` environment variable is used instead.
## Debugging the intermediate files
OCRmyPDF normally saves its intermediate results to a temporary folder
and deletes this folder when it exits, whether it succeeded or failed.
If the `--keep-temporary-files` (`-k`) argument is issued on the
command line, OCRmyPDF will keep the temporary folder and print the location,
whether it succeeded or failed. An example message is:
```none
Temporary working files retained at:
/tmp/ocrmypdf.io.u20wpz07
```
When OCRmyPDF is launched as a snap, this corresponds to the snap filesystem, for instance:
> /tmp/snap-private-tmp/snap.ocrmypdf/tmp/ocrmypdf.io.u20wpz07
The organization of this folder is an implementation detail and subject
to change between releases. However the general organization is that
working files on a per page basis have the page number as a prefix
(starting with page 1), an infix indicates the processing stage, and a
suffix indicates the file type. Some important files include:
- `_rasterize.png` - what the input page looks like
- `_ocr.png` - the file that is sent to Tesseract for OCR; depending
on arguments this may differ from the presentation image
- `_pp_deskew.png` - the image, after deskewing
- `_pp_clean.png` - the image, after cleaning with unpaper
- `_ocr_hocr.pdf` - the OCR file; appears as a blank page with invisible
text embedded
- `_ocr_hocr.txt` - the OCR text (not necessarily all text on the page,
if the page is mixed format)
- `fix_docinfo.pdf` - a temporary file created to fix the PDF DocumentInfo
data structure
- `graft_layers.pdf` - the rendered PDF with OCR layers grafted on
- `pdfa.pdf` - `graft_layers.pdf` after conversion to PDF/A
- `pdfa.ps` - a PostScript file used by Ghostscript for PDF/A conversion
- `optimize.pdf` - the PDF generated before optimization
- `optimize.out.pdf` - the PDF generated by optimization
- `origin` - the input file
- `origin.pdf` - the input file or the input image converted to PDF
- `images/*` - images extracted during the optimization process; here
the prefix indicates a PDF object ID not a page number
-428
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
.. SPDX-License-Identifier: CC-BY-SA-4.0
=================
Advanced features
=================
Control of unpaper
==================
OCRmyPDF uses ``unpaper`` to provide the implementation of the
``--clean`` and ``--clean-final`` arguments.
`unpaper <https://github.com/Flameeyes/unpaper/blob/main/doc/basic-concepts.md>`__
provides a variety of image processing filters to improve images.
By default, OCRmyPDF uses only ``unpaper`` arguments that were found to
be safe to use on almost all files without having to inspect every page
of the file afterwards. This is particularly true when only ``--clean``
is used, since that instructs OCRmyPDF to only clean the image before
OCR and not the final image.
However, if you wish to use the more aggressive options in ``unpaper``,
you may use ``--unpaper-args '...'`` to override the OCRmyPDF's defaults
and forward other arguments to unpaper. This option will forward
arguments to ``unpaper`` without any knowledge of what that program
considers to be valid arguments. The string of arguments must be quoted
as shown in the examples below. No filename arguments may be included.
OCRmyPDF will assume it can append input and output filename of
intermediate images to the ``--unpaper-args`` string.
In this example, we tell ``unpaper`` to expect two pages of text on a
sheet (image), such as occurs when two facing pages of a book are
scanned. ``unpaper`` uses this information to deskew each independently
and clean up the margins of both.
.. code-block:: bash
ocrmypdf --clean --clean-final --unpaper-args '--layout double' input.pdf output.pdf
ocrmypdf --clean --clean-final --unpaper-args '--layout double --no-noisefilter' input.pdf output.pdf
.. warning::
Some ``unpaper`` features will reposition text within the image.
``--clean-final`` is recommended to avoid this issue.
.. warning::
Some ``unpaper`` features cause multiple input or output files to be
consumed or produced. OCRmyPDF requires ``unpaper`` to consume one
file and produce one file; errors will result if this assumption is not
met.
.. note::
``unpaper`` uses uncompressed PBM/PGM/PPM files for its intermediate
files. For large images or documents, it can take a lot of temporary
disk space.
Control of OCR options
======================
OCRmyPDF provides many features to control the behavior of the OCR
engine, Tesseract.
When OCR is skipped
-------------------
If a page in a PDF seems to have text, by default OCRmyPDF will exit
without modifying the PDF. This is to ensure that PDFs that were
previously OCRed or were "born digital" rather than scanned are not
processed.
If ``--skip-text`` is issued, then no image processing or OCR will be
performed on pages that already have text. The page will be copied to
the output. This may be useful for documents that contain both "born
digital" and scanned content, or to use OCRmyPDF to normalize and
convert to PDF/A regardless of their contents.
If ``--redo-ocr`` is issued, then a detailed text analysis is performed.
Text is categorized as either visible or invisible. Invisible text (OCR)
is stripped out. Then an image of each page is created with visible text
masked out. The page image is sent for OCR, and any additional text is
inserted as OCR. If a file contains a mix of text and bitmap images that
contain text, OCRmyPDF will locate the additional text in images without
disrupting the existing text. Some PDF OCR solutions render text as
technically printable or visible in some way, perhaps by drawing it and
then painting over it. OCRmyPDF cannot distinguish this type of OCR
text from real text, so it will not be "redone".
If ``--force-ocr`` is issued, then all pages will be rasterized to
images, discarding any hidden OCR text, rasterizing any printable
text, and flattening form fields or interactive objects into their visual
representation. This is useful for redoing OCR, for fixing OCR text
with a damaged character map (text is selectable but not searchable),
and destroying redacted information.
Time and image size limits
--------------------------
By default, OCRmyPDF permits tesseract to run for three minutes (180
seconds) per page. This is usually more than enough time to find all
text on a reasonably sized page with modern hardware.
If a page is skipped, it will be inserted without OCR. If preprocessing
was requested, the preprocessed image layer will be inserted.
If you want to adjust the amount of time spent on OCR, change
``--tesseract-timeout``. You can also automatically skip images that
exceed a certain number of megapixels with ``--skip-big``. (A 300 DPI,
8.5×11" page image is 8.4 megapixels.)
.. code-block:: bash
# Allow 300 seconds for OCR; skip any page larger than 50 megapixels
ocrmypdf --tesseract-timeout 300 --skip-big 50 bigfile.pdf output.pdf
OCR for huge images
-------------------
Tesseract has internal limits on the size
of images it will process. If you issue
``--tesseract-downsample-large-images``, OCRmyPDF will downsample images
to fit Tesseract limits. (The limits are usually entered only for scanned
images of oversized media, such as large maps or blueprints exceeding
110 cm or 43 inches in either dimension, and at high DPI.)
``--tesseract-downsample-above Npixels`` adjusts the threshold at which images
will be downsampled. By default, only images that exceed any of Tesseract's
internal limits are downsampled.
You will also need to set ``--tesseract-timeout`` high enough to allow
for processing.
Only the image sent for OCR is downsampled. The original image is
preserved.
.. code-block:: bash
# Allow 600 seconds for OCR on huge images
ocrmypdf --tesseract-timeout 600 \
--tesseract-downsample-large-images \
bigfile.pdf output.pdf
# Downsample images above 5000 pixels on the longest dimension to
# 5000 pixels
ocrmypdf --tesseract-timeout 120 \
--tesseract-downsample-large-images \
--tesseract-downsample-above 5000 \
bigfile.pdf output_downsampled_ocr.pdf
Overriding default tesseract
----------------------------
OCRmyPDF checks the system ``PATH`` for the ``tesseract`` binary.
Some relevant environment variables that influence Tesseract's behavior
include:
.. envvar:: TESSDATA_PREFIX
Overrides the path to Tesseract's data files. This can allow
simultaneous installation of the "best" and "fast" training data
sets. OCRmyPDF does not manage this environment variable.
.. envvar:: OMP_THREAD_LIMIT
Controls the number of threads Tesseract will use. OCRmyPDF will
manage this environment variable if it is not already set.
For example, if you have a development build of Tesseract don't wish to
use the system installation, you can launch OCRmyPDF as follows:
.. code-block:: bash
env \
PATH=/home/user/src/tesseract/api:$PATH \
TESSDATA_PREFIX=/home/user/src/tesseract \
ocrmypdf input.pdf output.pdf
In this example ``TESSDATA_PREFIX`` is required to redirect Tesseract to
an alternate folder for its "tessdata" files.
Overriding other support programs
---------------------------------
In addition to tesseract, OCRmyPDF uses the following external binaries:
- ``gs`` (Ghostscript)
- ``unpaper``
- ``pngquant``
- ``jbig2``
In each case OCRmyPDF will search the ``PATH`` environment variable to
locate the binaries. By modifying the ``PATH`` environment variable, you
can override the binaries that OCRmyPDF uses.
Changing Tesseract configuration variables
------------------------------------------
You can override Tesseract's default `control
parameters <https://tesseract-ocr.github.io/tessdoc/tess3/ControlParams.html>`__
with a configuration file.
As an example, this configuration will disable Tesseract's dictionary
for current language. Normally the dictionary is helpful for
interpolating words that are unclear, but it may interfere with OCR if
the document does not contain many words (for example, a list of part
numbers).
Create a file named "no-dict.cfg" with these contents:
::
load_system_dawg 0
language_model_penalty_non_dict_word 0
language_model_penalty_non_freq_dict_word 0
then run ocrmypdf as follows (along with any other desired arguments):
.. code-block:: bash
ocrmypdf --tesseract-config no-dict.cfg input.pdf output.pdf
.. warning::
Some combinations of control parameters will break Tesseract or break
assumptions that OCRmyPDF makes about Tesseract's output.
Changing the PDF renderer
=========================
rasterizing
Converting a PDF to an image for display.
rendering
Creating a new PDF from other data (such as an existing PDF).
OCRmyPDF has these PDF renderers: ``sandwich`` and ``hocr``. The
renderer may be selected using ``--pdf-renderer``. The default is
``auto`` which lets OCRmyPDF select the renderer to use. Currently,
``auto`` always selects ``hocr``.
The ``hocr`` renderer
---------------------
.. versionchanged:: 16.0.0
In both renderers, a text-only layer is rendered and sandwiched (overlaid)
on to either the original PDF page, or newly rasterized version of the
original PDF page (when ``--force-ocr`` is used). In this way, loss
of PDF information is generally avoided. (You may need to disable PDF/A
conversion and optimization to eliminate all lossy transformations.)
The current approach used by the new hOCR renderer is a re-implementation
of Tesseract's PDF renderer, using the same Glyphless font and general
ideas, but fixing many technical issues that impeded it. The new hocr
provides better text placement accuracy, avoids issues with word
segmentation, and provides better positioning of skewed text.
Using the experimental API, it is also possible to edit the OCR output
from Tesseract, using any tool that is capable of editing hOCR files.
Older versions of this renderer did not support non-Latin languages, but
it is now universal.
The ``sandwich`` renderer
-------------------------
The ``sandwich`` renderer uses Tesseract's text-only PDF feature,
which produces a PDF page that lays out the OCR in invisible text.
Currently some problematic PDF viewers like Mozilla PDF.js and macOS
Preview have problems with segmenting its text output, and
mightrunseveralwordstogether. It also does not implement right to left
fonts (Arabic, Hebrew, Persian). The output of this renderer cannot
be edited. The sandwich renderer is retained for testing.
When image preprocessing features like ``--deskew`` are used, the
original PDF will be rendered as a full page and the OCR layer will be
placed on top.
Rendering and rasterizing options
=================================
.. versionadded:: 14.3.0
The ``--continue-on-soft-render-error`` option allows OCRmyPDF to
proceed if a page cannot be rasterized/rendered. This is useful if you are
trying to get the best possible OCR from a PDF that is not well-formed,
and you are willing to accept some pages that may not visually match the
input, and that may not OCR well.
Color conversion strategy
=========================
.. versionadded:: 15.0.0
OCRmyPDF uses Ghostscript to convert PDF to PDF/A. In some cases, this
conversion requires color conversion. The default strategy is to convert
using the ``LeaveColorUnchanged`` strategy, which preserves the original
color space wherever possible (some rare color spaces might still be
converted).
Usually document scanners produce PDFs in the sRGB color space, and do
not need to be converted, so the default strategy is appropriate.
Suppose that you have a document that was prepared for professional
printing in a Separation or CMYK color space, and text was converted to
curves. In this case, you may want to use a different color conversion
strategy. The ``--color-conversion-strategy`` option allows you to select a
different strategy, such as ``RGB``.
Return code policy
==================
OCRmyPDF writes all messages to ``stderr``. ``stdout`` is reserved for
piping output files. ``stdin`` is reserved for piping input files.
The return codes generated by the OCRmyPDF are considered part of the
stable user interface. They may be imported from
``ocrmypdf.exceptions``.
.. list-table:: Return codes
:widths: 5 35 60
:header-rows: 1
* - Code
- Name
- Interpretation
* - 0
- ``ExitCode.ok``
- Everything worked as expected.
* - 1
- ``ExitCode.bad_args``
- Invalid arguments, exited with an error.
* - 2
- ``ExitCode.input_file``
- The input file does not seem to be a valid PDF.
* - 3
- ``ExitCode.missing_dependency``
- An external program required by OCRmyPDF is missing.
* - 4
- ``ExitCode.invalid_output_pdf``
- An output file was created, but it does not seem to be a valid PDF. The file will be available.
* - 5
- ``ExitCode.file_access_error``
- The user running OCRmyPDF does not have sufficient permissions to read the input file and write the output file.
* - 6
- ``ExitCode.already_done_ocr``
- The file already appears to contain text so it may not need OCR. See output message.
* - 7
- ``ExitCode.child_process_error``
- An error occurred in an external program (child process) and OCRmyPDF cannot continue.
* - 8
- ``ExitCode.encrypted_pdf``
- The input PDF is encrypted. OCRmyPDF does not read encrypted PDFs. Use another program such as ``qpdf`` to remove encryption.
* - 9
- ``ExitCode.invalid_config``
- A custom configuration file was forwarded to Tesseract using ``--tesseract-config``, and Tesseract rejected this file.
* - 10
- ``ExitCode.pdfa_conversion_failed``
- A valid PDF was created, PDF/A conversion failed. The file will be available.
* - 15
- ``ExitCode.other_error``
- Some other error occurred.
* - 130
- ``ExitCode.ctrl_c``
- The program was interrupted by pressing Ctrl+C.
.. _tmpdir:
Changing temporary storage location
===================================
OCRmyPDF generates many temporary files during processing.
To change where temporary files are stored, change the ``TMPDIR``
environment variable for ocrmypdf's environment. (Python's
``tempfile.gettempdir()`` returns the root directory in which temporary
files will be stored.) For example, one could redirect ``TMPDIR`` to a
large RAM disk to avoid wear on HDD/SSD and potentially improve
performance.
On Windows, the ``TEMP`` environment variable is used instead.
Debugging the intermediate files
================================
OCRmyPDF normally saves its intermediate results to a temporary folder
and deletes this folder when it exits, whether it succeeded or failed.
If the ``--keep-temporary-files`` (``-k```) argument is issued on the
command line, OCRmyPDF will keep the temporary folder and print the location,
whether it succeeded or failed. An example message is:
.. code-block:: none
Temporary working files retained at:
/tmp/ocrmypdf.io.u20wpz07
The organization of this folder is an implementation detail and subject
to change between releases. However the general organization is that
working files on a per page basis have the page number as a prefix
(starting with page 1), an infix indicates the processing stage, and a
suffix indicates the file type. Some important files include:
- ``_rasterize.png`` - what the input page looks like
- ``_ocr.png`` - the file that is sent to Tesseract for OCR; depending
on arguments this may differ from the presentation image
- ``_pp_deskew.png`` - the image, after deskewing
- ``_pp_clean.png`` - the image, after cleaning with unpaper
- ``_ocr_tess.pdf`` - the OCR file; appears as a blank page with invisible
text embedded
- ``_ocr_tess.txt`` - the OCR text (not necessarily all text on the page,
if the page is mixed format)
- ``fix_docinfo.pdf`` - a temporary file created to fix the PDF DocumentInfo
data structure
- ``graft_layers.pdf`` - the rendered PDF with OCR layers grafted on
- ``pdfa.pdf`` - ``graft_layers.pdf`` after conversion to PDF/A
- ``pdfa.ps`` - a PostScript file used by Ghostscript for PDF/A conversion
- ``optimize.pdf`` - the PDF generated before optimization
- ``optimize.out.pdf`` - the PDF generated by optimization
- ``origin`` - the input file
- ``origin.pdf`` - the input file or the input image converted to PDF
- ``images/*`` - images extracted during the optimization process; here
the prefix indicates a PDF object ID not a page number
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% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Using the OCRmyPDF API
OCRmyPDF originated as a command line program and continues to have this
legacy, but parts of it can be imported and used in other Python
applications.
Some applications may want to consider running ocrmypdf from a
subprocess call anyway, as this provides isolation of its activities.
## Example
OCRmyPDF provides one high-level function to run its main engine from an
application.
```{versionchanged} 17.0
The {func}`ocrmypdf.ocr` function now accepts an {class}`~ocrmypdf.OcrOptions`
object as its first argument, providing a cleaner API with full type hints
and validation. The previous positional argument style remains supported.
```
### Modern API (recommended)
The recommended way to call {func}`ocrmypdf.ocr` is to construct an
{class}`~ocrmypdf.OcrOptions` object with all settings, then pass it
as the sole argument:
```python
import ocrmypdf
from ocrmypdf import OcrOptions
if __name__ == '__main__': # To ensure correct behavior on Windows and macOS
options = OcrOptions(
input_file='input.pdf',
output_file='output.pdf',
deskew=True,
languages=['eng'],
)
ocrmypdf.ocr(options)
```
{class}`~ocrmypdf.OcrOptions` is a Pydantic model that provides:
- Full type hints and IDE autocompletion
- Validation of option values at construction time
- Clear documentation of all available options
```{versionadded} 17.0
The {class}`~ocrmypdf.OcrOptions` class is now exported from the top-level
`ocrmypdf` module.
```
### Legacy API
For compatibility with OCRmyPDF < v17, the traditional calling style
with positional arguments is still fully supported:
```python
import ocrmypdf
if __name__ == '__main__': # To ensure correct behavior on Windows and macOS
ocrmypdf.ocr('input.pdf', 'output.pdf', deskew=True)
```
With this style, all of the command line arguments are available
and may be passed as equivalent keywords.
A few differences are that `verbose` and `quiet` are not available.
Instead, output should be managed by configuring logging.
### Parent process requirements
The {func}`ocrmypdf.ocr` function runs OCRmyPDF similar to command line
execution. To do this, it will:
- create worker processes or threads
- manage the signal flags of its worker processes
- execute other subprocesses (forking and executing other programs)
The Python process that calls {func}`ocrmypdf.ocr()` must be sufficiently
privileged to perform these actions.
There currently is no option to manage how jobs are scheduled other
than the argument `jobs=` which will limit the number of worker
processes.
Creating a child process to call {func}`ocrmypdf.ocr()` is suggested. That
way your application will survive and remain interactive even if
OCRmyPDF fails for any reason. For example:
```python
from multiprocessing import Process
import ocrmypdf
from ocrmypdf import OcrOptions
def ocrmypdf_process():
options = OcrOptions(input_file='input.pdf', output_file='output.pdf')
ocrmypdf.ocr(options)
def call_ocrmypdf_from_my_app():
p = Process(target=ocrmypdf_process)
p.start()
p.join()
```
Programs that call {func}`ocrmypdf.ocr()` should also install a SIGBUS signal
handler (except on Windows), to raise an exception if access to a memory
mapped file fails. OCRmyPDF may use memory mapping.
{func}`ocrmypdf.ocr()` will take a threading lock to prevent multiple runs of itself
in the same Python interpreter process. This is not thread-safe, because of how
OCRmyPDF's plugins and Python's library import system work. If you need to parallelize
OCRmyPDF, use processes.
:::{warning}
On Windows and macOS, the script that calls {func}`ocrmypdf.ocr()` must be
protected by an "ifmain" guard (`if __name__ == '__main__'`). If you do
not take at least one of these steps, process semantics will prevent
OCRmyPDF from working correctly.
:::
### Logging
OCRmyPDF will log under loggers named `ocrmypdf`. In addition, it
imports `pdfminer` and `PIL`, both of which post log messages under
those logging namespaces.
You can configure the logging as desired for your application or call
{func}`ocrmypdf.configure_logging` to configure logging the same way
OCRmyPDF itself does. The command line parameters such as `--quiet`
and `--verbose` have no equivalents in the API; you must use the
provided configuration function or do configuration in a way that suits
your use case.
### Progress monitoring
OCRmyPDF uses the `rich` package to implement its progress bars.
{func}`ocrmypdf.configure_logging` will set up logging output to
`sys.stderr` in a way that is compatible with the display of the
progress bar. Use `ocrmypdf.ocr(...progress_bar=False)` to disable
the progress bar.
### Standard output
OCRmyPDF is strict about not writing to standard output so that
users can safely use it in a pipeline and produce a valid output
file. A caller application will have to ensure it does not write to
standard output either, if it wants to be compatible with this
behavior and support piping to a file. Another benefit of running
OCRmyPDF in a child process, as recommended above, is that it will
not interfere with the parent process's standard output.
### Exceptions
OCRmyPDF may throw standard Python exceptions, `ocrmypdf.exceptions.*`
exceptions, some exceptions related to multiprocessing, and
{exc}`KeyboardInterrupt`. The parent process should provide an exception
handler. OCRmyPDF will clean up its temporary files and worker processes
automatically when an exception occurs.
When OCRmyPDF succeeds conditionally, it returns an integer exit code.
### Plugin Development Changes
```{versionchanged} 16.13
Plugin hooks now receive {class}`~ocrmypdf.OcrOptions` objects instead of
`argparse.Namespace`.
```
- {class}`~ocrmypdf.OcrOptions` provides the same attribute access as `Namespace` (duck-typing compatible)
- Plugin developers should update type hints: `from ocrmypdf import OcrOptions`
- Built-in plugins no longer modify options in-place for better immutability
Most existing plugins will continue working without modification due to the
duck-typing compatibility between {class}`~ocrmypdf.OcrOptions` and `Namespace`.
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
======================
Using the OCRmyPDF API
======================
OCRmyPDF originated as a command line program and continues to have this
legacy, but parts of it can be imported and used in other Python
applications.
Some applications may want to consider running ocrmypdf from a
subprocess call anyway, as this provides isolation of its activities.
Example
=======
OCRmyPDF provides one high-level function to run its main engine from an
application. The parameters are symmetric to the command line arguments
and largely have the same functions.
.. code-block:: python
import ocrmypdf
if __name__ == '__main__': # To ensure correct behavior on Windows and macOS
ocrmypdf.ocr('input.pdf', 'output.pdf', deskew=True)
With some exceptions, all of the command line arguments are available
and may be passed as equivalent keywords.
A few differences are that ``verbose`` and ``quiet`` are not available.
Instead, output should be managed by configuring logging.
Parent process requirements
---------------------------
The :func:`ocrmypdf.ocr` function runs OCRmyPDF similar to command line
execution. To do this, it will:
- create worker processes or threads
- manage the signal flags of its worker processes
- execute other subprocesses (forking and executing other programs)
The Python process that calls :func:`ocrmypdf.ocr()` must be sufficiently
privileged to perform these actions.
There currently is no option to manage how jobs are scheduled other
than the argument ``jobs=`` which will limit the number of worker
processes.
Creating a child process to call :func:`ocrmypdf.ocr()` is suggested. That
way your application will survive and remain interactive even if
OCRmyPDF fails for any reason. For example:
.. code-block:: python
from multiprocessing import Process
def ocrmypdf_process():
ocrmypdf.ocr('input.pdf', 'output.pdf')
def call_ocrmypdf_from_my_app():
p = Process(target=ocrmypdf_process)
p.start()
p.join()
Programs that call :func:`ocrmypdf.ocr()` should also install a SIGBUS signal
handler (except on Windows), to raise an exception if access to a memory
mapped file fails. OCRmyPDF may use memory mapping.
:func:`ocrmypdf.ocr()` will take a threading lock to prevent multiple runs of itself
in the same Python interpreter process. This is not thread-safe, because of how
OCRmyPDF's plugins and Python's library import system work. If you need to parallelize
OCRmyPDF, use processes.
.. warning::
On Windows and macOS, the script that calls :func:`ocrmypdf.ocr()` must be
protected by an "ifmain" guard (``if __name__ == '__main__'``). If you do
not take at least one of these steps, process semantics will prevent
OCRmyPDF from working correctly.
Logging
-------
OCRmyPDF will log under loggers named ``ocrmypdf``. In addition, it
imports ``pdfminer`` and ``PIL``, both of which post log messages under
those logging namespaces.
You can configure the logging as desired for your application or call
:func:`ocrmypdf.configure_logging` to configure logging the same way
OCRmyPDF itself does. The command line parameters such as ``--quiet``
and ``--verbose`` have no equivalents in the API; you must use the
provided configuration function or do configuration in a way that suits
your use case.
Progress monitoring
-------------------
OCRmyPDF uses the ``rich`` package to implement its progress bars.
:func:`ocrmypdf.configure_logging` will set up logging output to
``sys.stderr`` in a way that is compatible with the display of the
progress bar. Use ``ocrmypdf.ocr(...progress_bar=False)`` to disable
the progress bar.
Standard output
---------------
OCRmyPDF is strict about not writing to standard output so that
users can safely use it in a pipeline and produce a valid output
file. A caller application will have to ensure it does not write to
standard output either, if it wants to be compatible with this
behavior and support piping to a file. Another benefit of running
OCRmyPDF in a child process, as recommended above, is that it will
not interfere with the parent process's standard output.
Exceptions
----------
OCRmyPDF may throw standard Python exceptions, ``ocrmypdf.exceptions.*``
exceptions, some exceptions related to multiprocessing, and
:exc:`KeyboardInterrupt`. The parent process should provide an exception
handler. OCRmyPDF will clean up its temporary files and worker processes
automatically when an exception occurs.
When OCRmyPDF succeeds conditionally, it returns an integer exit code.
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% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# API reference
This page summarizes the rest of the public API. Generally speaking this
should be mainly of interest to plugin developers.
## ocrmypdf.api
```{eval-rst}
.. automodule:: ocrmypdf.api
:members:
```
## ocrmypdf._options
```{eval-rst}
.. automodule:: ocrmypdf._options
:members: OcrOptions
```
## ocrmypdf.exceptions
```{eval-rst}
.. automodule:: ocrmypdf.exceptions
:members:
:undoc-members:
```
## ocrmypdf.helpers
```{eval-rst}
.. automodule:: ocrmypdf.helpers
:members:
:noindex: deprecated
.. autodecorator:: deprecated
```
## ocrmypdf.hocrtransform
```{eval-rst}
.. automodule:: ocrmypdf.hocrtransform
:members:
```
## ocrmypdf.pdfa
```{eval-rst}
.. automodule:: ocrmypdf.pdfa
:members:
```
## ocrmypdf.quality
```{eval-rst}
.. automodule:: ocrmypdf.quality
:members:
```
## ocrmypdf.subprocess
```{eval-rst}
.. automodule:: ocrmypdf.subprocess
:members:
```
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
=============
API reference
=============
This page summarizes the rest of the public API. Generally speaking this
should be mainly of interest to plugin developers.
ocrmypdf
========
.. autoclass:: ocrmypdf.PageContext
:members:
.. autoclass:: ocrmypdf.PdfContext
:members:
.. autoclass:: ocrmypdf.Verbosity
:members:
:undoc-members:
.. autofunction:: ocrmypdf.configure_logging
.. autofunction:: ocrmypdf.ocr
.. autofunction:: ocrmypdf.pdf_to_hocr
.. autofunction:: ocrmypdf.hocr_to_ocr_pdf
ocrmypdf.exceptions
===================
.. automodule:: ocrmypdf.exceptions
:members:
:undoc-members:
ocrmypdf.helpers
================
.. automodule:: ocrmypdf.helpers
:members:
:noindex: deprecated
.. autodecorator:: deprecated
ocrmypdf.hocrtransform
======================
.. automodule:: ocrmypdf.hocrtransform
:members:
ocrmypdf.pdfa
=============
.. automodule:: ocrmypdf.pdfa
:members:
ocrmypdf.quality
================
.. automodule:: ocrmypdf.quality
:members:
ocrmypdf.subprocess
===================
.. automodule:: ocrmypdf.subprocess
:members:
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% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
Batch processing
================
This article provides information about running OCRmyPDF on multiple
files or configuring it as a service triggered by file system events.
Batch jobs
----------
Consider using the excellent [GNU
Parallel](https://www.gnu.org/software/parallel/) to apply OCRmyPDF to
multiple files at once.
Both `parallel` and `ocrmypdf` will try to use all available processors.
To maximize parallelism without overloading your system with processes,
consider using `parallel -j 2` to limit parallel to running two jobs at
once.
This command will run `ocrmypdf` on all files named `*.pdf` in the
current directory and write them to the previously created `output/`
folder. It will not search subdirectories.
The `--tag` argument tells parallel to print the filename as a prefix
whenever a message is printed, so that one can trace any errors to the
file that produced them.
:::{code} bash
parallel --tag -j 2 ocrmypdf '{}' 'output/{}' ::: *.pdf
:::
OCRmyPDF automatically repairs PDFs before parsing and gathering
information from them.
Directory trees
---------------
This will walk through a directory tree and run OCR on all files in
place, and printing each filename in between runs:
:::{code} bash
find . -name '*.pdf' -printf '%p\n' -exec ocrmypdf '{}' '{}' \;
:::
This only runs one `ocrmypdf` process at a time. This variation uses
`find` to create a directory list and `parallel` to parallelize runs of
`ocrmypdf`, again updating files in place.
:::{code} bash
find . -name '*.pdf' | parallel --tag -j 2 ocrmypdf '{}' '{}'
:::
In a Windows batch file, use
:::{code} bat
for /r %%f in (*.pdf) do ocrmypdf %%f %%f
:::
With a Docker container, you will need to stream through standard input
and output:
:::{code} bash
find . -name '*.pdf' -print0 | xargs -0 | while read pdf; do
pdfout=$(mktemp)
docker run --rm -i jbarlow83/ocrmypdf - - <$pdf >$pdfout && cp $pdfout $pdf
done
:::
### Sample script
This user contributed script also provides an example of batch
processing.
:::{literalinclude} ../misc/batch.py
---
caption: misc/batch.py
---
:::
### Synology DiskStations
Synology DiskStations (Network Attached Storage devices) can run the
Docker image of OCRmyPDF if the Synology [Docker
package](https://www.synology.com/en-global/dsm/packages/Docker) is
installed. Attached is a script to address particular quirks of using
OCRmyPDF on one of these devices.
At the time this script was written, it only worked for x86-based
Synology products. It is not known if it will work on ARM-based Synology
products. Further adjustments might be needed to deal with the
Synology\'s relatively limited CPU and RAM.
:::{literalinclude} ../misc/synology.py
---
caption: misc/synology.py - Sample script for Synology DiskStations
---
:::
### Huge batch jobs
If you have thousands of files to work with, contact the author.
Consulting work related to OCRmyPDF helps fund this open source project
and all inquiries are appreciated.
Hot (watched) folders
---------------------
### Watched folders with watcher.py
OCRmyPDF has a folder watcher called watcher.py, which is currently
included in source distributions but not part of the main program. It
may be used natively or may run in a Docker container. Native instances
tend to give better performance. watcher.py works on all platforms.
Users may need to customize the script to meet their requirements.
:::{code} bash
# Using uv (recommended)
uv sync --extra watcher
# Or using pip
pip3 install ocrmypdf[watcher]
env OCR_INPUT_DIRECTORY=/mnt/input-pdfs \
OCR_OUTPUT_DIRECTORY=/mnt/output-pdfs \
OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
python3 watcher.py
:::
:::{list-table} watcher.py environment variables
---
header-rows: 1
---
* - Environment variable
- Description
* - OCR\_INPUT\_DIRECTORY
- Set input directory to monitor (recursive)
* - OCR\_OUTPUT\_DIRECTORY
- Set output directory (should not be under input)
* - OCR\_ARCHIVE\_DIRECTORY
- Set archive directory for processed originals (should not be under input, requires `OCR_ON_SUCCESS_ARCHIVE` to be set)
* - OCR\_ON\_SUCCESS\_DELETE
- This will move the processed original file to `OCR_ARCHIVE_DIRECTORY` if the exit code is 0 (OK). Note that `OCR_ON_SUCCESS_DELETE` takes precedence over this option, i.e. if both options are set, the input file will be deleted.
* - OCR\_OUTPUT\_DIRECTORY\_YEAR\_MONTH
- This will place files in the output in `{output}/{year}/{month}/{filename}`
* - OCR\_DESKEW
- Apply deskew to crooked input PDFs
* - OCR\_JSON\_SETTINGS
- A JSON string specifying any other arguments for `ocrmypdf.ocr`, e.g. `'OCR_JSON_SETTINGS={"rotate_pages": true, "optimize": "3"}'`.
* - OCR\_POLL\_NEW\_FILE\_SECONDS
- Polling interval
* - OCR\_LOGLEVEL
- Level of log messages t
:::
One could configure a networked scanner or scanning computer to drop
files in the watched folder.
### Watched folders with Docker
The watcher service is included in the OCRmyPDF Docker image. To run it:
:::{code} bash
docker run \
--volume <path to files to convert>:/input \
--volume <path to store results>:/output \
--volume <path to store processed originals>:/processed \
--env OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
--env OCR_ON_SUCCESS_ARCHIVE=1 \
--env OCR_DESKEW=1 \
--env PYTHONUNBUFFERED=1 \
--interactive --tty --entrypoint python3 \
jbarlow83/ocrmypdf \
watcher.py
:::
This service will watch for a file that matches `/input/\*.pdf`, convert
it to a OCRed PDF in `/output/`, and move the processed original to
`/processed`. The parameters to this image are:
:::{list-table} Watcher Docker Parameters
:header-rows: 1
* - Parameter
- Description
* - `--volume <path to files to convert>:/input`
- Files placed in this location will be OCRed
* - `--volume <path to store results>:/output`
- This is where OCRed files will be stored
* - `--volume <path to store processed originals>:/processed`
- Archive processed originals here
* - `--env OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1`
- Define environment variable `OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1` to place files in the output in `{output}/{year}/{month}/{filename}`
* - `--env OCR_ON_SUCCESS_ARCHIVE=1`
- Define environment variable `OCR_ON_SUCCESS_ARCHIVE` to move processed originals
* - `--env OCR_DESKEW=1`
- Define environment variable `OCR_DESKEW` to apply deskew to crooked input PDFs
* - `--env PYTHONBUFFERED=1`
- This will force `STDOUT` to be unbuffered and allow you to see messages in docker logs
* - `--env OCR_LOGLEVEL='DEBUG'`
- Level of log messages
* - `--env OCR_JSON_SETTINGS={"language":"deu+eng", "rotate_pages": true}`
- A JSON string specifying any other arguments for `ocrmypdf.ocr`
:::
This service relies on polling to check for changes to the filesystem.
It may not be suitable for some environments, such as filesystems shared
on a slow network.
A configuration manager such as Docker Compose could be used to ensure
that the service is always available.
:::{literalinclude} ../misc/docker-compose.example.yml
---
caption: misc/docker-compose.example.yml
---
:::
### Caveats
- `watchmedo` may not work properly on a networked file system,
depending on the capabilities of the file system client and server.
- This simple recipe does not filter for the type of file system
event, so file copies, deletes and moves, and directory operations,
will all be sent to ocrmypdf, producing errors in several cases.
Disable your watched folder if you are doing anything other than
copying files to it.
- If the source and destination directory are the same, watchmedo may
create an infinite loop.
- On BSD, FreeBSD and older versions of macOS, you may need to
increase the number of file descriptors to monitor more files, using
`ulimit -n 1024` to watch a folder of up to 1024 files.
### Alternatives
- On Linux, [systemd user
services](https://wiki.archlinux.org/index.php/Systemd/User) can be
configured to automatically perform OCR on a collection of files.
- [Watchman](https://facebook.github.io/watchman/) is a more powerful
alternative to `watchmedo`.
macOS Automator
---------------
You can use the Automator app with macOS, to create a Workflow or Quick
Action. Use a *Run Shell Script* action in your workflow. In the context
of Automator, the `PATH` may be set differently your Terminal\'s `PATH`;
you may need to explicitly set the PATH to include `ocrmypdf`. The
following example may serve as a starting point:
![](images/macos-workflow.png)
You may customize the command sent to ocrmypdf.
-228
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@@ -1,228 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
================
Batch processing
================
This article provides information about running OCRmyPDF on multiple
files or configuring it as a service triggered by file system events.
Batch jobs
==========
Consider using the excellent `GNU
Parallel <https://www.gnu.org/software/parallel/>`__ to apply OCRmyPDF
to multiple files at once.
Both ``parallel`` and ``ocrmypdf`` will try to use all available
processors. To maximize parallelism without overloading your system with
processes, consider using ``parallel -j 2`` to limit parallel to running
two jobs at once.
This command will run ``ocrmypdf`` on all files named ``*.pdf`` in the
current directory and write them to the previously created ``output/``
folder. It will not search subdirectories.
The ``--tag`` argument tells parallel to print the filename as a prefix
whenever a message is printed, so that one can trace any errors to the
file that produced them.
.. code-block:: bash
parallel --tag -j 2 ocrmypdf '{}' 'output/{}' ::: *.pdf
OCRmyPDF automatically repairs PDFs before parsing and gathering
information from them.
Directory trees
===============
This will walk through a directory tree and run OCR on all files in
place, and printing each filename in between runs:
.. code-block:: bash
find . -printf '%p\n' -name '*.pdf' -exec ocrmypdf '{}' '{}' \;
This only runs one ``ocrmypdf`` process at a time. This variation uses
``find`` to create a directory list and ``parallel`` to parallelize runs
of ``ocrmypdf``, again updating files in place.
.. code-block:: bash
find . -name '*.pdf' | parallel --tag -j 2 ocrmypdf '{}' '{}'
In a Windows batch file, use
.. code-block:: bat
for /r %%f in (*.pdf) do ocrmypdf %%f %%f
With a Docker container, you will need to stream through standard input and output:
.. code-block:: bash
find . -name '*.pdf' -print0 | xargs -0 | while read pdf; do
pdfout=$(mktemp)
docker run --rm -i jbarlow83/ocrmypdf - - <$pdf >$pdfout && cp $pdfout $pdf
done
Sample script
-------------
This user contributed script also provides an example of batch
processing.
.. literalinclude:: ../misc/batch.py
:caption: misc/batch.py
Synology DiskStations
---------------------
Synology DiskStations (Network Attached Storage devices) can run the
Docker image of OCRmyPDF if the Synology `Docker
package <https://www.synology.com/en-global/dsm/packages/Docker>`__ is
installed. Attached is a script to address particular quirks of using
OCRmyPDF on one of these devices.
At the time this script was written, it only worked for x86-based Synology
products. It is not known if it will work on ARM-based Synology products.
Further adjustments might be needed to deal with the Synology's relatively
limited CPU and RAM.
.. literalinclude:: ../misc/synology.py
:caption: misc/synology.py - Sample script for Synology DiskStations
Huge batch jobs
---------------
If you have thousands of files to work with, contact the author.
Consulting work related to OCRmyPDF helps fund this open source project
and all inquiries are appreciated.
Hot (watched) folders
=====================
Watched folders with watcher.py
-------------------------------
OCRmyPDF has a folder watcher called watcher.py, which is currently included in source
distributions but not part of the main program. It may be used natively or may run
in a Docker container. Native instances tend to give better performance. watcher.py
works on all platforms.
Users may need to customize the script to meet their requirements.
.. code-block:: bash
pip3 install ocrmypdf[watcher]
env OCR_INPUT_DIRECTORY=/mnt/input-pdfs \
OCR_OUTPUT_DIRECTORY=/mnt/output-pdfs \
OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
python3 watcher.py
.. csv-table:: watcher.py environment variables
:header: "Environment variable", "Description"
:widths: 50, 50
"OCR_INPUT_DIRECTORY", "Set input directory to monitor (recursive)"
"OCR_OUTPUT_DIRECTORY", "Set output directory (should not be under input)"
"OCR_ARCHIVE_DIRECTORY", "Set archive directory for processed originals (should not be under input, requires ``OCR_ON_SUCCESS_ARCHIVE`` to be set)"
"OCR_ON_SUCCESS_DELETE", "This will delete the input file if the exit code is 0 (OK)"
"OCR_ON_SUCCESS_ARCHIVE", "This will move the processed original file to ``OCR_ARCHIVE_DIRECTORY`` if the exit code is 0 (OK). Note that ``OCR_ON_SUCCESS_DELETE`` takes precedence over this option, i.e. if both options are set, the input file will be deleted."
"OCR_OUTPUT_DIRECTORY_YEAR_MONTH", "This will place files in the output in ``{output}/{year}/{month}/{filename}``"
"OCR_DESKEW", "Apply deskew to crooked input PDFs"
"OCR_JSON_SETTINGS", "A JSON string specifying any other arguments for ``ocrmypdf.ocr``, e.g. ``'OCR_JSON_SETTINGS={""rotate_pages"": true}'``."
"OCR_POLL_NEW_FILE_SECONDS", "Polling interval"
"OCR_LOGLEVEL", "Level of log messages to report"
One could configure a networked scanner or scanning computer to drop files in the
watched folder.
Watched folders with Docker
---------------------------
The watcher service is included in the OCRmyPDF Docker image. To run it:
.. code-block:: bash
docker run \
--volume <path to files to convert>:/input \
--volume <path to store results>:/output \
--volume <path to store processed originals>:/processed \
--env OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
--env OCR_ON_SUCCESS_ARCHIVE=1 \
--env OCR_DESKEW=1 \
--env PYTHONUNBUFFERED=1 \
--interactive --tty --entrypoint python3 \
jbarlow83/ocrmypdf \
watcher.py
This service will watch for a file that matches ``/input/\*.pdf``,
convert it to a OCRed PDF in ``/output/``, and move the processed
original to ``/processed``. The parameters to this image are:
.. csv-table:: watcher.py parameters for Docker
:header: "Parameter", "Description"
:widths: 50, 50
"``--volume <path to files to convert>:/input``", "Files placed in this location will be OCRed"
"``--volume <path to store results>:/output``", "This is where OCRed files will be stored"
"``--volume <path to store processed originals>:/processed``", "Archive processed originals here"
"``--env OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1``", "Define environment variable ``OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1`` to place files in the output in ``{output}/{year}/{month}/{filename}``"
"``--env OCR_ON_SUCCESS_ARCHIVE=1``", "Define environment variable ``OCR_ON_SUCCESS_ARCHIVE`` to move processed originals"
"``--env OCR_DESKEW=1``", "Define environment variable ``OCR_DESKEW`` to apply deskew to crooked input PDFs"
"``--env PYTHONBUFFERED=1``", "This will force ``STDOUT`` to be unbuffered and allow you to see messages in docker logs"
This service relies on polling to check for changes to the filesystem. It
may not be suitable for some environments, such as filesystems shared on a
slow network.
A configuration manager such as Docker Compose could be used to ensure that the
service is always available.
.. literalinclude:: ../misc/docker-compose.example.yml
:language: yaml
:caption: misc/docker-compose.example.yml
Caveats
-------
- ``watchmedo`` may not work properly on a networked file system,
depending on the capabilities of the file system client and server.
- This simple recipe does not filter for the type of file system event,
so file copies, deletes and moves, and directory operations, will all
be sent to ocrmypdf, producing errors in several cases. Disable your
watched folder if you are doing anything other than copying files to
it.
- If the source and destination directory are the same, watchmedo may
create an infinite loop.
- On BSD, FreeBSD and older versions of macOS, you may need to increase
the number of file descriptors to monitor more files, using
``ulimit -n 1024`` to watch a folder of up to 1024 files.
Alternatives
------------
- On Linux, `systemd user services <https://wiki.archlinux.org/index.php/Systemd/User>`__
can be configured to automatically perform OCR on a collection of files.
- `Watchman <https://facebook.github.io/watchman/>`__ is a more
powerful alternative to ``watchmedo``.
macOS Automator
===============
You can use the Automator app with macOS, to create a Workflow or Quick
Action. Use a *Run Shell Script* action in your workflow. In the context
of Automator, the ``PATH`` may be set differently your Terminal's
``PATH``; you may need to explicitly set the PATH to include
``ocrmypdf``. The following example may serve as a starting point:
.. figure:: images/macos-workflow.png
:alt: Example macOS Automator workflow
You may customize the command sent to ocrmypdf.
+84
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@@ -0,0 +1,84 @@
% SPDX-FileCopyrightText: 2025 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
(ocr-service)=
# Online deployments
OCRmyPDF is designed to be used as a command line tool, but it can be
used in a web service. This document describes some considerations for
doing so.
A basic web service implementation is provided in the source code
repository, as `misc/webservice.py`. It is only demonstration quality
and is not intended for production use.
OCRmyPDF is not designed for use as a public web service where a
malicious user could upload a chosen PDF. In particular, it is not
necessarily secure against PDF malware or PDFs that cause denial of
service. For further discussino of security, see
[security](security).
OCRmyPDF relies on Ghostscript, and therefore, if deployed online one
should be prepared to comply with Ghostscript\'s Affero GPL license, and
any other licenses.
Setting aside these concerns, a side effect of OCRmyPDF is that it may
incidentally sanitize PDFs containing certain types of malware. It
repairs the PDF with pikepdf/libqpdf, which could correct malformed PDF
structures that are part of an attack. When PDF/A output is selected
(the default), the input PDF is partially reconstructed by Ghostscript.
When `--force-ocr` is used, all pages are rasterized and reconverted to
PDF, which could remove malware in embedded images.
## Limiting CPU usage
OCRmyPDF will attempt to use all available CPUs and storage, so
executing `nice ocrmypdf` or limiting the number of jobs with the
`--jobs` argument may ensure the server remains responsive. Another
option would be to run OCRmyPDF jobs inside a Docker container, a
virtual machine, or a cloud instance, which can impose its own limits on
CPU usage and be terminated \"from orbit\" if it fails to complete.
## Temporary storage requirements
OCRmyPDF will use a large amount of temporary storage for its work,
proportional to the total number of pixels needed to rasterize the PDF.
The raster image of a 8.5×11\" color page at 300 DPI takes 25 MB
uncompressed; OCRmyPDF saves its intermediates as PNG, but that still
means it requires about 9 MB per intermediate based on average
compression ratios. Multiple intermediates per page are also required,
depending on the command line given. A rule of thumb would be to allow
100 MB of temporary storage per page in a file -- meaning that a small
cloud servers or small VM partitions should be provisioned with plenty
of extra space, if say, a 500 page file might be sent.
To change the temporary directory, see [tmpdir](#tmpdir).
On Amazon Web Services or other cloud vendors, consider setting your
temporary directory to [empheral
storage](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html).
## Timeouts
To prevent excessively long OCR jobs consider setting
`--tesseract-timeout` and/or `--skip-big` arguments. `--skip-big` is
particularly helpful if your PDFs include documents such as reports on
standard page sizes with large images attached - often large images are
not worth OCR\'ing anyway.
## Document management systems
If you are looking for a full document management system, consider
[paperless-ngx](https://github.com/paperless-ngx/paperless-ngx), which
is a web application that uses OCRmyPDF to automatically OCR and archive
documents.
## Commercial OCR alternatives
The author also provides professional services that include OCR and
building databases around PDFs, and is happy to provide consultation.
Abbyy Cloud OCR is viable commercial alternative with a web services
API. Amazon Textract, Google Cloud Vision, and Microsoft Azure Computer
Vision provide advanced OCR but have less PDF rendering capability.
-92
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@@ -1,92 +0,0 @@
.. SPDX-FileCopyrightText: 2023 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
.. _ocr-service:
==================
Online deployments
==================
OCRmyPDF is designed to be used as a command line tool, but it can be
used in a web service. This document describes some considerations for
doing so.
A basic web service implementation is provided in the source code
repository, as ``misc/webservice.py``. It is only demonstration quality
and is not intended for production use.
OCRmyPDF is not designed for use as a public web service where a
malicious user could upload a chosen PDF. In particular, it is not
necessarily secure against PDF malware or PDFs that cause denial of
service. For further discussino of security, see :ref:`security`.
OCRmyPDF relies on Ghostscript, and therefore, if deployed
online one should be prepared to comply with Ghostscript's Affero GPL
license, and any other licenses.
Setting aside these concerns, a side effect of OCRmyPDF is that it may
incidentally sanitize PDFs containing certain types of malware. It
repairs the PDF with pikepdf/libqpdf, which could correct malformed PDF
structures that are part of an attack. When PDF/A output is selected
(the default), the input PDF is partially reconstructed by Ghostscript.
When ``--force-ocr`` is used, all pages are rasterized and reconverted
to PDF, which could remove malware in embedded images.
Limiting CPU usage
------------------
OCRmyPDF will attempt to use all available CPUs and storage, so
executing ``nice ocrmypdf`` or limiting the number of jobs with the
``--jobs`` argument may ensure the server remains responsive. Another option
would be to run OCRmyPDF jobs inside a Docker container, a virtual machine,
or a cloud instance, which can impose its own limits on CPU usage and be
terminated "from orbit" if it fails to complete.
Temporary storage requirements
------------------------------
OCRmyPDF will use a large amount of temporary storage for its work,
proportional to the total number of pixels needed to rasterize the PDF.
The raster image of a 8.5×11" color page at 300 DPI takes 25 MB
uncompressed; OCRmyPDF saves its intermediates as PNG, but that still
means it requires about 9 MB per intermediate based on average
compression ratios. Multiple intermediates per page are also required,
depending on the command line given. A rule of thumb would be to allow
100 MB of temporary storage per page in a file meaning that a small
cloud servers or small VM partitions should be provisioned with plenty
of extra space, if say, a 500 page file might be sent.
To change the temporary directory, see :ref:`tmpdir`.
On Amazon Web Services or other cloud vendors, consider setting your
temporary directory to `empheral
storage <https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html>`__.
Timeouts
--------
To prevent excessively long OCR jobs consider setting
``--tesseract-timeout`` and/or ``--skip-big`` arguments. ``--skip-big``
is particularly helpful if your PDFs include documents such as reports
on standard page sizes with large images attached - often large images
are not worth OCR'ing anyway.
Document management systems
---------------------------
If you are looking for a full document management system, consider
`paperless-ngx <https://github.com/paperless-ngx/paperless-ngx>`__,
which is a web application that uses OCRmyPDF to automatically OCR and
archive documents.
Commercial OCR alternatives
---------------------------
The author also provides professional services that include OCR and
building databases around PDFs, and is happy to provide consultation.
Abbyy Cloud OCR is viable commercial alternative with a web services
API. Amazon Textract, Google Cloud Vision, and Microsoft Azure
Computer Vision provide advanced OCR but have less PDF rendering capability.
+20 -18
View File
@@ -25,24 +25,30 @@
# sys.path.insert(0, os.path.abspath('.'))
# -- General configuration ------------------------------------------------
from __future__ import annotations
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
needs_sphinx = '8'
import datetime as dt
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'myst_parser',
'sphinx.ext.autodoc',
'sphinx.ext.intersphinx',
'sphinx.ext.autosummary',
'sphinx.ext.napoleon',
'sphinx.ext.imgconverter', # PDF docs needs this for SVG to PNG conversion
'sphinx_issues',
'sphinxcontrib.mermaid',
]
myst_enable_extensions = ['colon_fence', 'attrs_block', 'attrs_inline', 'substitution']
# Extension settings
intersphinx_mapping = {'https://docs.python.org/': None}
intersphinx_mapping = {'python': ('https://docs.python.org/3', None)}
napoleon_use_rtype = False
issues_github_path = "ocrmypdf/OCRmyPDF"
@@ -50,22 +56,18 @@ issues_github_path = "ocrmypdf/OCRmyPDF"
templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = '.rst'
# The encoding of source files.
#
# source_encoding = 'utf-8-sig'
source_suffix = {'.rst': 'restructuredtext', '.md': 'markdown', '.txt': 'markdown'}
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = 'ocrmypdf'
year = str(dt.date.today().year)
copyright = (
'2023, James R. Barlow. Licensed under Creative Commons Attribution-ShareAlike 4.0.'
f'{year}, James R. Barlow. '
+ 'Licensed under Creative Commons Attribution-ShareAlike 4.0'
)
author = 'James R. Barlow'
@@ -92,6 +94,7 @@ if on_rtd:
MOCK_MODULES = [
'pikepdf',
'pikepdf.canvas',
'pikepdf.models',
'pikepdf.models.metadata',
]
@@ -108,7 +111,7 @@ version = '.'.join(release.split('.')[:2])
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
language = 'en'
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
@@ -158,19 +161,18 @@ todo_include_todos = False
# -- Options for HTML output ----------------------------------------------
import sphinx_rtd_theme
import sphinx_rtd_theme # noqa: F401
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
html_theme_options = {'display_version': False}
html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
# html_theme_path = []
@@ -198,7 +200,7 @@ html_theme_options = {'display_version': False}
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# html_static_path = ['_static']
# Add any extra paths that contain custom files (such as robots.txt or
# .htaccess) here, relative to this directory. These files are copied
+72
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@@ -0,0 +1,72 @@
% SPDX-FileCopyrightText: 2025 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Contributing guidelines
Contributions are welcome!
## Big changes
Please open a new issue to discuss or propose a major change. Not only
is it fun to discuss big ideas, but we might save each other\'s time
too. Perhaps some of the work you\'re contemplating is already half-done
in a development branch.
## Code style
We use `ruff` for code formatting.
The settings for these programs are in `pyproject.toml`. Pull requests
should follow the style guide. One difference we use from \"black\"
style is that strings shown to the user are always in double quotes
(`"`) and strings for internal uses are in single quotes (`'`).
## Tests
New features should come with tests that confirm their correctness.
## New dependencies
If you are proposing a change that will require a new dependency, we
prefer dependencies that are already packaged by Debian or Red Hat. This
makes life much easier for our downstream package maintainers. A package
that is only available on PyPI or GitHub, and not more widely packaged,
may not be accepted.
We are unlikely to accept a dependency on CUDA or other GPU-based
libraries, because these are still difficult to package and install on
many systems. We recommend implementing these changes as plugins.
Python dependencies must also be license-compatible. GPLv3 or AGPLv3 are
likely incompatible with the project\'s license, but LGPLv3 is
compatible.
## New non-Python dependencies
OCRmyPDF uses several external programs (Tesseract, Ghostscript and
others) for its functionality. In general we prefer to avoid adding new
external programs, and if we are to add external programs, we prefer
those that are already packaged by Debian or Red Hat.
## Plugins
Some new features may be a good fit for a plugin. Plugins are a way to
add features to OCRmyPDF without adding them to the core program.
Plugins are installed separately from OCRmyPDF. They are written in
Python and can be installed from PyPI. See the [plugin
documentation](https://ocrmypdf.readthedocs.io/en/latest/plugins.html).
We are happy to link users to your plugin from the documentation.
## Style guide: Is it OCRmyPDF or ocrmypdf?
The program/project is OCRmyPDF and the name of the executable or
library is ocrmypdf.
## Copyright and license
For contributions over 10 lines of code, please add your name to list of
copyright holders for that file. The core program is licensed under
MPL-2.0, test files and documentation under CC-BY-SA 4.0, and
miscellaneous files under MIT, with a few minor exceptions. Please
contribute only content that you own or have the right to contribute
under these licenses.
-77
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@@ -1,77 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
=======================
Contributing guidelines
=======================
Contributions are welcome!
Big changes
===========
Please open a new issue to discuss or propose a major change. Not only is it fun
to discuss big ideas, but we might save each other's time too. Perhaps some of the
work you're contemplating is already half-done in a development branch.
Code style
==========
We use PEP8, ``black`` for code formatting and ``ruff`` for everything else. The
settings for these programs are in ``pyproject.toml``. Pull
requests should follow the style guide. One difference we use from "black" style
is that strings shown to the user are always in double quotes (``"``) and strings
for internal uses are in single quotes (``'``).
Tests
=====
New features should come with tests that confirm their correctness.
New dependencies
================
If you are proposing a change that will require a new dependency, we
prefer dependencies that are already packaged by Debian or Red Hat. This makes
life much easier for our downstream package maintainers. A package that is only
available on PyPI or GitHub, and not more widely packaged, may not be accepted.
We are unlikely to accept a dependency on CUDA or other GPU-based libraries,
because these are still difficult to package and install on many systems.
We recommend implementing these changes as plugins.
Python dependencies must also be license-compatible. GPLv3 or AGPLv3 are likely
incompatible with the project's license, but LGPLv3 is compatible.
New non-Python dependencies
===========================
OCRmyPDF uses several external programs (Tesseract, Ghostscript and others) for
its functionality. In general we prefer to avoid adding new external programs,
and if we are to add external programs, we prefer those that are already
packaged by Debian or Red Hat.
Plugins
=======
Some new features may be a good fit for a plugin. Plugins are a way to add
features to OCRmyPDF without adding them to the core program. Plugins are
installed separately from OCRmyPDF. They are written in Python and can be
installed from PyPI. See the `plugin documentation <https://ocrmypdf.readthedocs.io/en/latest/plugins.html>`_.
We are happy to link users to your plugin from the documentation.
Style guide: Is it OCRmyPDF or ocrmypdf?
========================================
The program/project is OCRmyPDF and the name of the executable or library is ocrmypdf.
Copyright and license
=====================
For contributions over 10 lines of code, please add your name to list of
copyright holders for that file. The core program is licensed under MPL-2.0,
test files and documentation under CC-BY-SA 4.0, and miscellaneous files under
MIT, with a few minor exceptions. Please contribute only content that you own
or have the right to contribute under these licenses.
+436
View File
@@ -0,0 +1,436 @@
% SPDX-FileCopyrightText: 2025 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Cookbook
## Basic examples
### Help!
ocrmypdf has built-in help.
```bash
ocrmypdf --help
```
### Add an OCR layer and convert to PDF/A
```bash
ocrmypdf input.pdf output.pdf
```
### Add an OCR layer and output a standard PDF
```bash
ocrmypdf --output-type pdf input.pdf output.pdf
```
### Create a PDF/A with all color and grayscale images converted to JPEG
```bash
ocrmypdf --output-type pdfa --pdfa-image-compression jpeg input.pdf output.pdf
```
### Modify a file in place
The file will only be overwritten if OCRmyPDF is successful.
```bash
ocrmypdf myfile.pdf myfile.pdf
```
### Correct page rotation
OCR will attempt to automatic correct the rotation of each page. This
can help fix a scanning job that contains a mix of landscape and
portrait pages.
```bash
ocrmypdf --rotate-pages myfile.pdf myfile.pdf
```
You can increase (decrease) the parameter `--rotate-pages-threshold` to
make page rotation more (less) aggressive. The threshold number is the
ratio of how confidence the OCR engine is that the document image should
be changed, compared to kept the same. The default value is quite
conservative; on some files it may not attempt rotations at all unless
it is very confident that the current rotation is wrong. A lower value
of `2.0` will produce more rotations, and more false positives. Run with
`-v1` to see the confidence level for each page to see if there may be a
better value for your files.
If the page is \"just a little off horizontal\", like a crooked picture,
then you want `--deskew`. `--rotate-pages` is for when the cardinal
angle is wrong.
### OCR languages other than English
OCRmyPDF assumes the document is in English unless told otherwise. OCR
quality may be poor if the wrong language is used.
```bash
ocrmypdf -l fra LeParisien.pdf LeParisien.pdf
ocrmypdf -l eng+fra Bilingual-English-French.pdf Bilingual-English-French.pdf
```
Language packs must be installed for all languages specified. See
`Installing additional language packs <lang-packs>`{.interpreted-text
role="ref"}.
Unfortunately, the Tesseract OCR engine has no ability to detect the
language when it is unknown.
### Produce PDF and text file containing OCR text
This produces a file named \"output.pdf\" and a companion text file
named \"output.txt\".
```bash
ocrmypdf --sidecar output.txt input.pdf output.pdf
```
:::{note}
The sidecar file contains the **OCR text** found by OCRmyPDF. If the
document contains pages that already have text, that text will not
appear in the sidecar. If the option `--pages` is used, only those pages
on which OCR was performed will be included in the sidecar. If certain
pages were skipped because of options like `--skip-big` or
`--tesseract-timeout`, those pages will not be in the sidecar.
If you don\'t want to generate the output PDF, use `--output-type=none`
to avoid generating one. Set the output filename to `-` (i.e. redirect
to stdout).
To extract all text from a PDF, whether generated from OCR or otherwise,
use a program like Poppler\'s `pdftotext` or `pdfgrep`.
:::
### OCR images, not PDFs
#### Option: use Tesseract
If you are starting with images, you can just use Tesseract directly to
convert images to PDFs:
```bash
tesseract my-image.jpg output-prefix pdf
```
```bash
# When there are multiple images
tesseract text-file-containing-list-of-image-filenames.txt output-prefix pdf
```
Tesseract\'s PDF output is quite good -- OCRmyPDF uses it internally, in
some cases. However, OCRmyPDF has many features not available in
Tesseract like image processing, metadata control, and PDF/A generation.
#### Option: use img2pdf
You can also use a program like
[img2pdf](https://gitlab.mister-muffin.de/josch/img2pdf) to convert your
images to PDFs, and then pipe the results to run ocrmypdf. The `-` tells
ocrmypdf to read standard input.
```bash
img2pdf my-images*.jpg | ocrmypdf - myfile.pdf
```
`img2pdf` is recommended because it does an excellent job at generating
PDFs without transcoding images.
#### Option: use OCRmyPDF (single images only)
For convenience, OCRmyPDF can also convert single images to PDFs on its
own. If the resolution (dots per inch, DPI) of an image is not set or is
incorrect, it can be overridden with `--image-dpi`. (As 1 inch is 2.54
cm, 1 dpi = 0.39 dpcm).
```bash
ocrmypdf --image-dpi 300 image.png myfile.pdf
```
If you have multiple images, you must use `img2pdf` to convert the
images to PDF.
#### Not recommended
We caution against using ImageMagick or Ghostscript to convert images to
PDF, since they may transcode images or produce downsampled images,
sometimes without warning.
(image-processing)=
## Image processing
OCRmyPDF perform some image processing on each page of a PDF, if
desired. The same processing is applied to each page. It is suggested
that the user review files after image processing as these commands
might remove desirable content, especially from poor quality scans.
- `--rotate-pages` attempts to determine the correct orientation for
each page and rotates the page if necessary.
- `--remove-background` attempts to detect and remove a noisy
background from grayscale or color images. Monochrome images are
ignored. This should not be used on documents that contain color
photos as it may remove them.
- `--deskew` will correct pages that were scanned at a skewed angle by
rotating them back into place.
- `--clean` uses [unpaper](https://www.flameeyes.eu/projects/unpaper)
to clean up pages before OCR, but does not alter the final output.
This makes it less likely that OCR will try to find text in
background noise.
- `--clean-final` uses unpaper to clean up pages before OCR and
inserts the page into the final output. You will want to review each
page to ensure that unpaper did not remove something important.
:::{note}
In many cases image processing will rasterize PDF pages as images,
potentially losing quality.
:::
:::{warning}
`--clean-final` and `--remove-background` may leave undesirable visual
artifacts in some images where their algorithms have shortcomings. Files
should be visually reviewed after using these options.
:::
### Example: OCR and correct document skew (crooked scan)
Deskew:
```bash
ocrmypdf --deskew input.pdf output.pdf
```
Image processing commands can be combined. The order in which options
are given does not matter. OCRmyPDF always applies the steps of the
image processing pipeline in the same order (rotate, remove background,
deskew, clean).
```bash
ocrmypdf --deskew --clean --rotate-pages input.pdf output.pdf
```
Don\'t actually OCR my PDF
--------------------------
If you set `--ocr-engine none` OCRmyPDF will apply its image processing without
performing OCR. This works if all you want to is to apply image processing or PDF/A
conversion.
```bash
ocrmypdf --ocr-engine none --deskew --output-type pdfa input.pdf output.pdf
```
:::{versionchanged} v17.0.0
Prior to this version, `--tesseract-timeout 0` was recommended as an idiom
to turn off OCR. This is not longer recommended, as we move away from
Tesseract OCR as the primary OCR engine.
:::
:::{versionchanged} v14.1.0
Prior to this version, `--tesseract-timeout 0` would prevent other uses
of Tesseract, such as deskewing, from working. This is no longer the
case. Use `--tesseract-non-ocr-timeout` to control the timeout for
non-OCR operations, if needed.
:::
### Remove all text or OCR from my PDF
This is getting ridiculous, but OCRmyPDF can complete strip all textual
information from a PDF and reconstruct it as a \"bag of images\" PDF.
```bash
ocrmypdf --ocr-engine none --force-ocr input.pdf output.pdf
```
Why would you want to do this? Perhaps you have a PDF where OCR fails to
produce useful results, and just want to get rid of all OCR information.
This command also removes OCR generated by third party tools.
### Optimize images without performing OCR
You can also optimize all images without performing any OCR:
```bash
ocrmypdf --ocr-engine none --optimize 3 --skip-text input.pdf output.pdf
```
## Using v17 features
### Select a rasterizer
:::{versionadded} 17.0.0
:::
OCRmyPDF can use pypdfium2 or Ghostscript to rasterize PDF pages. pypdfium2
is generally faster and is preferred when available.
```bash
# Automatic selection (default) - prefers pypdfium when available
ocrmypdf --rasterizer auto input.pdf output.pdf
# Explicitly use pypdfium2 (requires pip install pypdfium2)
ocrmypdf --rasterizer pypdfium input.pdf output.pdf
# Explicitly use Ghostscript
ocrmypdf --rasterizer ghostscript input.pdf output.pdf
```
### PDF/A without Ghostscript
:::{versionadded} 17.0.0
:::
With verapdf installed, OCRmyPDF can produce PDF/A without using Ghostscript
for conversion. This is faster and avoids some Ghostscript limitations.
```bash
# Uses speculative conversion with verapdf validation (default)
ocrmypdf --output-type auto input.pdf output.pdf
# Explicitly request Ghostscript-based PDF/A conversion
ocrmypdf --output-type pdfa input.pdf output.pdf
```
### Using --mode instead of legacy flags
:::{versionadded} 17.0.0
:::
The `--mode` (`-m`) flag consolidates OCR behavior options:
```bash
# Instead of --skip-text
ocrmypdf --mode skip input.pdf output.pdf
# Instead of --force-ocr
ocrmypdf --mode force input.pdf output.pdf
# Instead of --redo-ocr
ocrmypdf --mode redo input.pdf output.pdf
# Short form
ocrmypdf -m skip input.pdf output.pdf
```
The legacy flags continue to work as aliases.
### Process only certain pages
You can ask OCRmyPDF to only apply [image processing](#image-processing)
and OCR to certain pages.
```bash
ocrmypdf --pages 2,3,13-17 input.pdf output.pdf
```
Hyphens denote a range of pages and commas separate page numbers. If you
prefer to use spaces, quote all of the page numbers:
`--pages '2, 3, 5, 7'`.
OCRmyPDF will warn if your list of page numbers contains duplicates or
overlapping pages. OCRmyPDF does not currently account for document page
numbers, such as an introduction section of a book that uses Roman
numerals. It simply counts the number of virtual pieces of paper since
the start. If your list of pages is out of numerical order, OCRmyPDF
will sort it for you.
Regardless of the argument to `--pages`, OCRmyPDF will optimize all
pages/images in the file and convert it to PDF/A, unless you disable
those options. Both of these steps are \"whole file\" operations. In
this example, we want to OCR only the title and otherwise change the PDF
as little as possible:
```bash
ocrmypdf --pages 1 --output-type pdf --optimize 0 input.pdf output.pdf
```
## Redo existing OCR
To redo OCR on a file OCRed with other OCR software or a previous
version of OCRmyPDF and/or Tesseract, you may use the `--redo-ocr`
argument. (Normally, OCRmyPDF will exit with an error if asked to modify
a file with OCR.)
This may be helpful for users who want to take advantage of accuracy
improvements in Tesseract for files they previously OCRed with an
earlier version of Tesseract and OCRmyPDF.
```bash
ocrmypdf --redo-ocr input.pdf output.pdf
```
This method will replace OCR without rasterizing, reducing quality or
removing vector content. If a file contains a mix of pure digital text
and OCR, digital text will be ignored and OCR will be replaced. As such
this mode is incompatible with image processing options, since they
alter the appearance of the file.
In some cases, existing OCR cannot be detected or replaced. Files
produced by OCRmyPDF v2.2 or earlier, for example, are internally
represented as having visible text with an opaque image drawn on top.
This situation cannot be detected.
If `--redo-ocr` does not work, you can use `--force-ocr`, which will
force rasterization of all pages, potentially reducing quality or losing
vector content.
Improving OCR quality
---------------------
The [Image processing](#image-processing) features can improve OCR
quality.
Rotating pages and deskewing helps to ensure that the page orientation
is correct before OCR begins. Removing the background and/or cleaning
the page can also improve results. The `--oversample DPI` argument can
be specified to resample images to higher resolution before attempting
OCR; this can improve results as well.
OCR quality will suffer if the resolution of input images is not correct
(since the range of pixel sizes that will be checked for possible fonts
will also be incorrect).
## PDF optimization
By default OCRmyPDF will attempt to perform lossless optimizations on
the images inside PDFs after OCR is complete. Optimization is performed
even if no OCR text is found.
The `--optimize N` (short form `-O`) argument controls optimization,
where `N` ranges from 0 to 3 inclusive, analogous to the optimization
levels in the GCC compiler. `-O1` is the default.
For further details, see the section on [PDF optimization](optimizer).
```bash
ocrmypdf --optimize 3 in.pdf out.pdf # Make it small
```
Some users may consider enabling lossy JBIG2. See:
`jbig2-lossy`{.interpreted-text role="ref"}.
:::{note}
Image processing and PDF/A conversion can also introduce lossy
transformations to your PDF images, even when `--optimize 1` is in use.
:::
Digitally signed PDFs
---------------------
OCRmyPDF cannot preserve digital signatures in PDFs and also add OCR to
them. By default, it will refuse to modify a signed PDF regardless of
other settings. You can override this behavior with
`--invalidate-digital-signatures`; as the name suggests, any digital
signatures will be invalidated.
OCRmyPDF cannot open documents that are encrypted with a digital
certificate.
Versions of OCRmyPDF prior to 14.4.0 would invalidate existing digital
signatures without warning.
-410
View File
@@ -1,410 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
========
Cookbook
========
Basic examples
==============
Help!
-----
ocrmypdf has built-in help.
.. code-block:: bash
ocrmypdf --help
Add an OCR layer and convert to PDF/A
-------------------------------------
.. code-block:: bash
ocrmypdf input.pdf output.pdf
Add an OCR layer and output a standard PDF
------------------------------------------
.. code-block:: bash
ocrmypdf --output-type pdf input.pdf output.pdf
Create a PDF/A with all color and grayscale images converted to JPEG
--------------------------------------------------------------------
.. code-block:: bash
ocrmypdf --output-type pdfa --pdfa-image-compression jpeg input.pdf output.pdf
Modify a file in place
----------------------
The file will only be overwritten if OCRmyPDF is successful.
.. code-block:: bash
ocrmypdf myfile.pdf myfile.pdf
Correct page rotation
---------------------
OCR will attempt to automatic correct the rotation of each page. This
can help fix a scanning job that contains a mix of landscape and
portrait pages.
.. code-block:: bash
ocrmypdf --rotate-pages myfile.pdf myfile.pdf
You can increase (decrease) the parameter ``--rotate-pages-threshold``
to make page rotation more (less) aggressive. The threshold number is the ratio
of how confidence the OCR engine is that the document image should be changed,
compared to kept the same. The default value is quite conservative; on some files
it may not attempt rotations at all unless it is very confident that the current
rotation is wrong. A lower value of ``2.0`` will produce more rotations, and
more false positives. Run with ``-v1`` to see the confidence level for each
page to see if there may be a better value for your files.
If the page is "just a little off horizontal", like a crooked picture,
then you want ``--deskew``. ``--rotate-pages`` is for when the cardinal
angle is wrong.
OCR languages other than English
--------------------------------
OCRmyPDF assumes the document is in English unless told otherwise. OCR
quality may be poor if the wrong language is used.
.. code-block:: bash
ocrmypdf -l fra LeParisien.pdf LeParisien.pdf
ocrmypdf -l eng+fra Bilingual-English-French.pdf Bilingual-English-French.pdf
Language packs must be installed for all languages specified. See
:ref:`Installing additional language packs <lang-packs>`.
Unfortunately, the Tesseract OCR engine has no ability to detect the
language when it is unknown.
Produce PDF and text file containing OCR text
---------------------------------------------
This produces a file named "output.pdf" and a companion text file named
"output.txt".
.. code-block:: bash
ocrmypdf --sidecar output.txt input.pdf output.pdf
.. note::
The sidecar file contains the **OCR text** found by OCRmyPDF. If the document
contains pages that already have text, that text will not appear in the
sidecar. If the option ``--pages`` is used, only those pages on which OCR
was performed will be included in the sidecar. If certain pages were skipped
because of options like ``--skip-big`` or ``--tesseract-timeout``, those pages
will not be in the sidecar.
If you don't want to generate the output PDF, use ``--output-type=none`` to
avoid generating one. Set the output filename to ``-`` (i.e. redirect to stdout).
To extract all text from a PDF, whether generated from OCR or otherwise,
use a program like Poppler's ``pdftotext`` or ``pdfgrep``.
OCR images, not PDFs
--------------------
Option: use Tesseract
~~~~~~~~~~~~~~~~~~~~~
If you are starting with images, you can just use Tesseract directly to
convert images to PDFs:
.. code-block:: bash
tesseract my-image.jpg output-prefix pdf
.. code-block:: bash
# When there are multiple images
tesseract text-file-containing-list-of-image-filenames.txt output-prefix pdf
Tesseract's PDF output is quite good  OCRmyPDF uses it internally, in
some cases. However, OCRmyPDF has many features not available in
Tesseract like image processing, metadata control, and PDF/A generation.
Option: use img2pdf
~~~~~~~~~~~~~~~~~~~
You can also use a program like
`img2pdf <https://gitlab.mister-muffin.de/josch/img2pdf>`__ to convert
your images to PDFs, and then pipe the results to run ocrmypdf. The
``-`` tells ocrmypdf to read standard input.
.. code-block:: bash
img2pdf my-images*.jpg | ocrmypdf - myfile.pdf
``img2pdf`` is recommended because it does an excellent job at
generating PDFs without transcoding images.
Option: use OCRmyPDF (single images only)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
For convenience, OCRmyPDF can also convert single images to PDFs on its
own. If the resolution (dots per inch, DPI) of an image is not set or is
incorrect, it can be overridden with ``--image-dpi``. (As 1 inch is 2.54
cm, 1 dpi = 0.39 dpcm).
.. code-block:: bash
ocrmypdf --image-dpi 300 image.png myfile.pdf
If you have multiple images, you must use ``img2pdf`` to convert the
images to PDF.
Not recommended
~~~~~~~~~~~~~~~
We caution against using ImageMagick or Ghostscript to convert images to
PDF, since they may transcode images or produce downsampled images,
sometimes without warning.
Image processing
================
OCRmyPDF perform some image processing on each page of a PDF, if
desired. The same processing is applied to each page. It is suggested
that the user review files after image processing as these commands
might remove desirable content, especially from poor quality scans.
- ``--rotate-pages`` attempts to determine the correct orientation for
each page and rotates the page if necessary.
- ``--remove-background`` attempts to detect and remove a noisy
background from grayscale or color images. Monochrome images are
ignored. This should not be used on documents that contain color
photos as it may remove them.
- ``--deskew`` will correct pages that were scanned at a skewed angle by
rotating them back into place.
- ``--clean`` uses
`unpaper <https://www.flameeyes.eu/projects/unpaper>`__ to clean up
pages before OCR, but does not alter the final output. This makes it
less likely that OCR will try to find text in background noise.
- ``--clean-final`` uses unpaper to clean up pages before OCR and
inserts the page into the final output. You will want to review each
page to ensure that unpaper did not remove something important.
.. note::
In many cases image processing will rasterize PDF pages as images,
potentially losing quality.
.. warning::
``--clean-final`` and ``--remove-background`` may leave undesirable
visual artifacts in some images where their algorithms have
shortcomings. Files should be visually reviewed after using these
options.
Example: OCR and correct document skew (crooked scan)
-----------------------------------------------------
Deskew:
.. code-block:: bash
ocrmypdf --deskew input.pdf output.pdf
Image processing commands can be combined. The order in which options
are given does not matter. OCRmyPDF always applies the steps of the
image processing pipeline in the same order (rotate, remove background,
deskew, clean).
.. code-block:: bash
ocrmypdf --deskew --clean --rotate-pages input.pdf output.pdf
Don't actually OCR my PDF
=========================
If you set ``--tesseract-timeout 0`` OCRmyPDF will apply its image
processing without performing OCR (by causing OCR to time out). This works
if all you want to is to apply image processing or PDF/A conversion.
.. code-block:: bash
ocrmypdf --tesseract-timeout=0 --remove-background input.pdf output.pdf
.. versionchanged:: v14.1.0
Prior to this version, ``--tesseract-timeout 0`` would prevent other
uses of Tesseract, such as deskewing, from working. This is no longer
the case. Use ``--tesseract-non-ocr-timeout`` to control the timeout
for non-OCR operations, if needed.
Remove all text or OCR from my PDF
----------------------------------
This is getting ridiculous, but OCRmyPDF can complete strip all textual
information from a PDF and reconstruct it as a "bag of images" PDF.
.. code-block::
ocrmypdf --tesseract-timeout 0 --force-ocr input.pdf output.pdf
Why would you want to do this? Perhaps you have a PDF where OCR
fails to produce useful results, and just want to get rid of all OCR information.
This command also removes OCR generated by third party tools.
Optimize images without performing OCR
--------------------------------------
You can also optimize all images without performing any OCR:
.. code-block:: bash
ocrmypdf --tesseract-timeout=0 --optimize 3 --skip-text input.pdf output.pdf
Process only certain pages
--------------------------
You can ask OCRmyPDF to only apply `image processing <#image-processing>`__
and OCR to certain pages.
.. code-block:: bash
ocrmypdf --pages 2,3,13-17 input.pdf output.pdf
Hyphens denote a range of pages and commas separate page numbers. If you prefer
to use spaces, quote all of the page numbers: ``--pages '2, 3, 5, 7'``.
OCRmyPDF will warn if your list of page numbers contains duplicates or
overlapping pages. OCRmyPDF does not currently account for document page numbers,
such as an introduction section of a book that uses Roman numerals. It simply
counts the number of virtual pieces of paper since the start. If your list of
pages is out of numerical order, OCRmyPDF will sort it for you.
Regardless of the argument to ``--pages``, OCRmyPDF will optimize all pages/images
in the file and convert it to PDF/A, unless you disable those options. Both of these
steps are "whole file" operations. In this example, we want to OCR only the title
and otherwise change the PDF as little as possible:
.. code-block:: bash
ocrmypdf --pages 1 --output-type pdf --optimize 0 input.pdf output.pdf
Redo existing OCR
=================
To redo OCR on a file OCRed with other OCR software or a previous
version of OCRmyPDF and/or Tesseract, you may use the ``--redo-ocr``
argument. (Normally, OCRmyPDF will exit with an error if asked to modify
a file with OCR.)
This may be helpful for users who want to take advantage of accuracy
improvements in Tesseract for files they previously OCRed with an
earlier version of Tesseract and OCRmyPDF.
.. code-block:: bash
ocrmypdf --redo-ocr input.pdf output.pdf
This method will replace OCR without rasterizing, reducing quality or
removing vector content. If a file contains a mix of pure digital text
and OCR, digital text will be ignored and OCR will be replaced. As such
this mode is incompatible with image processing options, since they
alter the appearance of the file.
In some cases, existing OCR cannot be detected or replaced. Files
produced by OCRmyPDF v2.2 or earlier, for example, are internally
represented as having visible text with an opaque image drawn on top.
This situation cannot be detected.
If ``--redo-ocr`` does not work, you can use ``--force-ocr``, which will
force rasterization of all pages, potentially reducing quality or losing
vector content.
Improving OCR quality
=====================
The `Image processing <#image-processing>`__ features can improve OCR
quality.
Rotating pages and deskewing helps to ensure that the page orientation
is correct before OCR begins. Removing the background and/or cleaning
the page can also improve results. The ``--oversample DPI`` argument can
be specified to resample images to higher resolution before attempting
OCR; this can improve results as well.
OCR quality will suffer if the resolution of input images is not correct
(since the range of pixel sizes that will be checked for possible fonts
will also be incorrect).
PDF optimization
================
By default OCRmyPDF will attempt to perform lossless optimizations on
the images inside PDFs after OCR is complete. Optimization is performed
even if no OCR text is found.
The ``--optimize N`` (short form ``-O``) argument controls optimization,
where ``N`` ranges from 0 to 3 inclusive, analogous to the optimization
levels in the GCC compiler.
.. list-table::
:widths: auto
:header-rows: 1
* - Level
- Comments
* - ``--optimize 0``
- Disables optimization.
* - ``--optimize 1``
- Enables lossless optimizations, such as transcoding images to more
efficient formats. Also compress other uncompressed objects in the
PDF and enables the more efficient "object streams" within the PDF.
(If ``--jbig2-lossy`` is issued, then lossy JBIG2 optimization is used.
The decision to use lossy JBIG2 is separate from standard optimization
settings.)
* - ``--optimize 2``
- All of the above, and enables lossy optimizations and color quantization.
* - ``--optimize 3``
- All of the above, and enables more aggressive optimizations and targets lower image quality.
Optimization is improved when a JBIG2 encoder is available and when
``pngquant`` is installed. If either of these components are missing,
then some types of images cannot be optimized.
The types of optimization available may expand over time. By default,
OCRmyPDF compresses data streams inside PDFs, and will change
inefficient compression modes to more modern versions. A program like
``qpdf`` can be used to change encodings, e.g. to inspect the internals
for a PDF.
.. code-block:: bash
ocrmypdf --optimize 3 in.pdf out.pdf # Make it small
Some users may consider enabling lossy JBIG2. See: :ref:`jbig2-lossy`.
.. note::
Image processing and PDF/A conversion can also introduce lossy transformations
to your PDF images, even when ``--optimize 1`` is in use.
Digitally signed PDFs
=====================
OCRmyPDF cannot preserve digital signatures in PDFs and also add to OCR to them.
By default, it will refuse to modify a signed PDF regardless of other settings. You can
override this behavior with ``--invalidate-digital-signatures``; as the name suggests,
any digital signatures will be invalidated.
OCRmyPDF cannot open documents that are encrypted with a digital certificate.
Versions of OCRmyPDF prior to 14.4.0 would invalidate existing digital signatures
without warning.
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% SPDX-FileCopyrightText: 2023 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Design notes
## Why doesn\'t OCRmyPDF use PyTesseract?
PyTesseract is a Python wrapper around the Tesseract OCR engine. When
OCRmyPDF was first written, PyTesseract used ABI bindings to call the
Tesseract library. This was not a good fit for OCRmyPDF because ABI
bindings can be fragile.
PyTesseract has since evolved calling the Tesseract executable,
abandoning the ABI approach and using the CLI instead, just like
OCRmyPDF does. If it were written from scratch today, OCRmyPDF might use
PyTesseract.
PyTesseract has more features don\'t particularly need PDF output, but
less features than OCRmyPDF\'s API for creating PDFs.
## What is `executor()`?
OCRmyPDF uses a custom concurrent executor which can support either
threads or processes with the same interface. This is useful because
OCRmyPDF can use either threads or processes to parallelize work,
whichever is more appropriate for the task at hand.
The interface is currently private and subject to change. In particular,
if experiments with asyncio and anyio are successful, the interface will
change.
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.. SPDX-FileCopyrightText: 2023 James R. Barlow
.. SPDX-License-Identifier: CC-BY-SA-4.0
============
Design notes
============
Why doesn't OCRmyPDF use PyTesseract?
=====================================
PyTesseract is a Python wrapper around the Tesseract OCR engine. When OCRmyPDF was
first written, PyTesseract used ABI bindings to call the Tesseract library. This
was not a good fit for OCRmyPDF because ABI bindings can be fragile.
PyTesseract has since evolved calling the Tesseract executable, abandoning the ABI
approach and using the CLI instead, just like OCRmyPDF does. If it were written from
scratch today, OCRmyPDF might use PyTesseract.
PyTesseract has more features don't particularly need PDF output, but less features
than OCRmyPDF's API for creating PDFs.
What is ``executor()``?
=======================
OCRmyPDF uses a custom concurrent executor which can support either threads or
processes with the same interface. This is useful because OCRmyPDF can use
either threads or processes to parallelize work, whichever is more appropriate
for the task at hand.
The interface is currently private and subject to change. In particular, if
experiments with asyncio and anyio are successful, the interface will change.
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# OCRmyPDF Docker image {#docker}
OCRmyPDF is also available in Docker images that packages recent
versions of all dependencies.
For users who already have Docker installed this may be an easy and
convenient option.
On platforms other than Linux, Docker runs in a virtual machine, and so
may be less performant. You may also want to adjust the Docker virtual
machine\'s memory and CPU allocation. On Linux, the Docker image runs
natively and performance is comparable to a system installation.
{#docker-install}
## Installing the Docker image
If you have [Docker](https://docs.docker.com/) installed on your system,
you can install a Docker image of the latest release.
If you can run this command successfully, your system is ready to
download and execute the image:
:::{code} bash
docker run hello-world
:::
:::{list-table} Docker Images
:header-rows: 1
* - Image
- Architecture
- Description
* - `jbarlow83/ocrmypdf-alpine`
- x86_64 and arm64
- Recommended image, based on Alpine Linux.
* - `jbarlow83/ocrmypdf-ubuntu`
- x86_64 and arm64
- Alternate image, based on Ubuntu. When the Alpine image is considered stable and available for arm64, this image will be deprecated.
* - `jbarlow83/ocrmypdf`
- x86_64 and arm64
- Currently an alias for ocrmypdf-ubuntu. When the Alpine image is considered stable and available for arm64, this name will point to the Alpine image. If you don\'t know about the difference between Alpine and Ubuntu, use this image.
:::
To install:
:::{code} bash
docker pull jbarlow83/ocrmypdf-alpine
:::
The `ocrmypdf` image is also available, but is deprecated and will be
removed in the future.
OCRmyPDF will use all available CPU cores. See the Docker documentation
for [adjusting memory and CPU on other
platforms](https://docs.docker.com/config/containers/resource_constraints/)
if you are using Docker on macOS or Windows, where you may need to
manually assign more resources. On Linux, all resources will be
available automatically.
The underlying operating system and other details in Docker images are
considered implementation details and **subject to change at minor
releases**. If you are modifying the image, you should pin the version
you intend to use.
## Using the Docker image on the command line
**Unlike typical Docker containers**, in this section the OCRmyPDF
Docker container is ephemeral -- it runs for one OCR job and terminates,
just like a command line program. We are using Docker to deliver an
application (as opposed to the more conventional case, where a Docker
container runs as a server). For that reason we usually use the `--rm`
argument to delete the container when it exits.
To start a Docker container (instance of the image):
:::{code} bash
docker run --rm -i jbarlow83/ocrmypdf-alpine (... all other arguments here...) - -
:::
For convenience, create a shell alias to hide the Docker command. It is
easier to send the input file as stdin and read the output from stdout
-- **this avoids the messy permission issues with Docker entirely**.
:::{code} bash
alias docker_ocrmypdf='docker run --rm -i jbarlow83/ocrmypdf-alpine'
docker_ocrmypdf --version # runs docker version
docker_ocrmypdf - - <input.pdf >output.pdf
:::
Or in the wonderful [fish shell](https://fishshell.com/):
:::{code} fish
alias docker_ocrmypdf 'docker run --rm jbarlow83/ocrmypdf-alpine'
funcsave docker_ocrmypdf
:::
Alternately, you could mount the local current working directory as a
Docker volume:
:::{code} bash
alias docker_ocrmypdf='docker run --rm -i --user "$(id -u):$(id -g)" --workdir /data -v "$PWD:/data" jbarlow83/ocrmypdf-alpine'
docker_ocrmypdf /data/input.pdf /data/output.pdf
:::
## Podman
Especially if you use [Podman](https://podman.io/) (or use Docker in
rootless mode), you may need to add `--userns keep-id` there,
otherwise you may get access errors, because the user ID is otherwise not
mapped to the same UID as on the host:
:::{code} bash
alias podman_ocrmypdf='podman run --rm -i --user "$(id -u):$(id -g)" --userns keep-id --workdir /data -v "$PWD:/data" jbarlow83/ocrmypdf-alpine'
podman_ocrmypdf /data/input.pdf /data/output.pdf
:::
If you have SELinux enabled, you may additionally need to add the `:Z` [suffix to
the
volume](https://docs.podman.io/en/stable/markdown/podman-run.1.html#volume-v-source-volume-host-dir-container-dir-options)
or disable SELinux for the container using
`--security-opt label=disable`, which is suggested for system files as
they should not be re-labelled. Please refer to the „Note" section at
the end of the linked podman documentation for details. This results in
the following full command:
:::{code} bash
alias podman_ocrmypdf='podman run --rm -i --user "$(id -u):$(id -g)" --userns keep-id --workdir /data -v "$PWD:/data" --security-opt label=disable jbarlow83/ocrmypdf-alpine'
podman_ocrmypdf /data/input.pdf /data/output.pdf
:::
{#docker-lang-packs}
## Adding languages to the Docker image
By default the Docker image includes English, German, Simplified
Chinese, French, Portuguese and Spanish, the most popular languages for
OCRmyPDF users based on feedback. You may add other languages by
creating a new Dockerfile based on the public one.
:::{code} dockerfile
FROM jbarlow83/ocrmypdf
# Example: add Italian
RUN apt install tesseract-ocr-ita
:::
To install language packs (training data) such as the
[tessdata\_best](https://github.com/tesseract-ocr/tessdata_best) suite
or custom data, you first need to determine the version of Tesseract
data files, which may differ from the Tesseract program version. Use
this command to determine the data file version:
:::{code} bash
docker run -i --rm --entrypoint /bin/ls jbarlow83/ocrmypdf /usr/share/tesseract-ocr
:::
As of 2021, the data file version is probably `4.00`.
You can then add new data with either a Dockerfile:
:::{code} dockerfile
FROM jbarlow83/ocrmypdf:{TAG}
# Example: add a tessdata_best file
COPY chi_tra_vert.traineddata /usr/share/tesseract-ocr/<data version>/tessdata/
:::
When creating your own image, you should always pin a specific version
of the OCRmyPDF Docker image. This ensures that your image will not
break when a new version of OCRmyPDF is released.
Alternately, you can copy training data into a Docker container as
follows:
:::{code} bash
docker cp mycustomtraining.traineddata name_of_container:/usr/share/tesseract-ocr/<tesseract version>/tessdata/
:::
Extending the Docker image
--------------------------
You can extend the Docker image with your own customizations, similar to
the way it is extended to add language packs.
Note that the Docker image is subject to change at any time. For
example, the base image may be updated to a newer version of Ubuntu or
Debian. Such changes will be noted in the release notes but might occur
at minor versions releases, unless the way a \"casual\" user of the
Docker image is affected.
If you extend the Docker image, you should pin a specific version of the
OCRmyPDF Docker image.
Executing the test suite
------------------------
The OCRmyPDF test suite is installed with image. To run it:
:::{code} bash
docker run --rm --entrypoint python jbarlow83/ocrmypdf -m pytest
:::
Accessing the shell
-------------------
To use the shell in the Docker image:
:::{code} bash
docker run -it --entrypoint sh jbarlow83/ocrmypdf
:::
Using the OCRmyPDF web service wrapper
--------------------------------------
The OCRmyPDF Docker image includes an example, barebones HTTP web
service. The webservice may be launched as follows:
:::{code} bash
docker run --entrypoint python -p 5000:5000 jbarlow83/ocrmypdf webservice.py
:::
We omit the `--rm` parameter so that the container will not be
automatically deleted when it exits.
This will configure the machine to listen on port 5000. On Linux
machines this is port 5000 of localhost. On macOS or Windows machines
running Docker, this is port 5000 of the virtual machine that runs your
Docker images. You can find its IP address using the command
`docker-machine ip`.
Unlike command line usage this program will open a socket and wait for
connections.
:::{warning}
The OCRmyPDF web service wrapper is intended for demonstration or
development. It provides no security, no authentication, no protection
against denial of service attacks, and no load balancing. The default
Flask WSGI server is used, which is intended for development only. The
server is single-threaded and so can respond to only one client at a
time. While running OCR, it cannot respond to any other clients.
:::
Clients must keep their open connection while waiting for OCR to
complete. This may entail setting a long timeout; this interface is more
useful for internal HTTP API calls.
Unlike the rest of OCRmyPDF, this web service is licensed under the
Affero GPLv3 (AGPLv3) since Ghostscript is also licensed in this way.
In addition to the above, please read our
`general remarks on using OCRmyPDF as a service <ocr-service>`{.interpreted-text
role="ref"}.
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
.. _docker:
=====================
OCRmyPDF Docker image
=====================
OCRmyPDF is also available in Docker images that packages recent
versions of all dependencies.
For users who already have Docker installed this may be an easy and
convenient option.
On platforms other than Linux, Docker runs in a virtual machine, and so may
be less performant. You may also want to adjust the Docker virtual machine's
memory and CPU allocation. On Linux, the Docker image runs natively and
performance is comparable to a system installation.
.. _docker-install:
Installing the Docker image
===========================
If you have `Docker <https://docs.docker.com/>`__ installed on your
system, you can install a Docker image of the latest release.
If you can run this command successfully, your system is ready to download and
execute the image:
.. code-block:: bash
docker run hello-world
.. list-table:: Docker images
:width: 30 20 50
:header-rows: 1
* - Image
- Architecture
- Description
* - ``jbarlow83/ocrmypdf-alpine``
- x86_64 only
- Recommended image, based on Alpine Linux.
* - ``jbarlow83/ocrmypdf-ubuntu``
- x86_64 and arm64
- Alternate image, based on Ubuntu. When the Alpine image is considered
stable and available for arm64, this image will be deprecated.
* - ``jbarlow83/ocrmypdf``
- x86_64 and arm64
- Currently an alias for ocrmypdf-ubuntu. When the Alpine image is
considered stable and available for arm64, this name point to the
Alpine image. If you don't about the difference between Alpine and
Ubuntu, use this image.
To install:
.. code-block:: bash
docker pull jbarlow83/ocrmypdf-alpine
The ``ocrmypdf`` image is also available, but is deprecated and will be removed
in the future.
OCRmyPDF will use all available CPU cores. See the Docker documentation for
`adjusting memory and CPU on other platforms <https://docs.docker.com/config/containers/resource_constraints/>`__.
Using the Docker image on the command line
==========================================
**Unlike typical Docker containers**, in this section the OCRmyPDF Docker
container is ephemeral it runs for one OCR job and terminates, just like a
command line program. We are using Docker to deliver an application (as opposed
to the more conventional case, where a Docker container runs as a server).
For that reason we usually use the ``--rm`` argument to delete the container
when it exits.
To start a Docker container (instance of the image):
.. code-block:: bash
docker tag jbarlow83/ocrmypdf ocrmypdf
docker run --rm -i ocrmypdf (... all other arguments here...) - -
For convenience, create a shell alias to hide the Docker command. It is
easier to send the input file as stdin and read the output from
stdout **this avoids the messy permission issues with Docker entirely**.
.. code-block:: bash
alias docker_ocrmypdf='docker run --rm -i ocrmypdf'
docker_ocrmypdf --version # runs docker version
docker_ocrmypdf - - <input.pdf >output.pdf
Or in the wonderful `fish shell <https://fishshell.com/>`__:
.. code-block:: fish
alias docker_ocrmypdf 'docker run --rm ocrmypdf'
funcsave docker_ocrmypdf
Alternately, you could mount the local current working directory as a
Docker volume:
.. code-block:: bash
alias docker_ocrmypdf='docker run --rm -i --user "$(id -u):$(id -g)" --workdir /data -v "$PWD:/data" ocrmypdf'
docker_ocrmypdf /data/input.pdf /data/output.pdf
.. _docker-lang-packs:
Adding languages to the Docker image
====================================
By default the Docker image includes English, German, Simplified Chinese,
French, Portuguese and Spanish, the most popular languages for OCRmyPDF
users based on feedback. You may add other languages by creating a new
Dockerfile based on the public one.
.. code-block:: dockerfile
FROM jbarlow83/ocrmypdf
# Example: add Italian
RUN apt install tesseract-ocr-ita
To install language packs (training data) such as the
`tessdata_best <https://github.com/tesseract-ocr/tessdata_best>`_ suite or
custom data, you first need to determine the version of Tesseract data files, which
may differ from the Tesseract program version. Use this command to determine the data
file version:
.. code-block:: bash
docker run -i --rm --entrypoint /bin/ls jbarlow83/ocrmypdf /usr/share/tesseract-ocr
As of 2021, the data file version is probably ``4.00``.
You can then add new data with either a Dockerfile:
.. code-block:: dockerfile
FROM jbarlow83/ocrmypdf:{TAG}
# Example: add a tessdata_best file
COPY chi_tra_vert.traineddata /usr/share/tesseract-ocr/<data version>/tessdata/
When creating your own image, you should always pin a specific version of the
OCRmyPDF Docker image. This ensures that your image will not break when a new
version of OCRmyPDF is released.
Alternately, you can copy training data into a Docker container as follows:
.. code-block:: bash
docker cp mycustomtraining.traineddata name_of_container:/usr/share/tesseract-ocr/<tesseract version>/tessdata/
Extending the Docker image
==========================
You can extend the Docker image with your own customizations, similar to the way
it is extended to add language packs.
Note that the Docker image is subject to change at any time. For example, the base
image may be updated to a newer version of Ubuntu or Debian. Such changes will be
noted in the release notes but might occur at minor versions releases, unless the
way a "casual" user of the Docker image is affected.
If you extend the Docker image, you should pin a specific version of the OCRmyPDF
Docker image.
Executing the test suite
========================
The OCRmyPDF test suite is installed with image. To run it:
.. code-block:: bash
docker run --rm --entrypoint python jbarlow83/ocrmypdf -m pytest
Accessing the shell
===================
To use the shell in the Docker image:
.. code-block:: bash
docker run -it --entrypoint sh jbarlow83/ocrmypdf
Using the OCRmyPDF web service wrapper
======================================
The OCRmyPDF Docker image includes an example, barebones HTTP web
service. The webservice may be launched as follows:
.. code-block:: bash
docker run --entrypoint python -p 5000:5000 jbarlow83/ocrmypdf webservice.py
We omit the ``--rm`` parameter so that the container will not be
automatically deleted when it exits.
This will configure the machine to listen on port 5000. On Linux machines
this is port 5000 of localhost. On macOS or Windows machines running
Docker, this is port 5000 of the virtual machine that runs your Docker
images. You can find its IP address using the command ``docker-machine ip``.
Unlike command line usage this program will open a socket and wait for
connections.
.. warning::
The OCRmyPDF web service wrapper is intended for demonstration or
development. It provides no security, no authentication, no
protection against denial of service attacks, and no load balancing.
The default Flask WSGI server is used, which is intended for
development only. The server is single-threaded and so can respond to
only one client at a time. While running OCR, it cannot respond to
any other clients.
Clients must keep their open connection while waiting for OCR to
complete. This may entail setting a long timeout; this interface is more
useful for internal HTTP API calls.
Unlike the rest of OCRmyPDF, this web service is licensed under the
Affero GPLv3 (AGPLv3) since Ghostscript is also licensed in this way.
In addition to the above, please read our
:ref:`general remarks on using OCRmyPDF as a service <ocr-service>`.
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% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Common error messages
## Page already has text
:::{code}
ERROR - 1: page already has text! aborting (use --force-ocr to force OCR)
:::
You ran ocrmypdf on a file that already contains printable text or a
hidden OCR text layer (it can\'t quite tell the difference). You
probably don\'t want to do this, because the file is already searchable.
As the error message suggests, your options are:
- `ocrmypdf --force-ocr` to
`rasterize <raster-vector>`{.interpreted-text role="ref"} all vector
content and run OCR on the images. This is useful if a previous OCR
program failed, or if the document contains a text watermark.
- `ocrmypdf --skip-text` to skip OCR and other processing on any pages
that contain text. Text pages will be copied into the output PDF
without modification.
- `ocrmypdf --redo-ocr` to scan the file for any existing OCR
(non-printing text), remove it, and do OCR again. This is one way to
take advantage of improvements in OCR accuracy. Printable vector
text is excluded from OCR, so this can be used on files that contain
a mix of digital and scanned files.
## Input file \'filename\' is not a valid PDF
OCRmyPDF checks files with pikepdf, a library that in turn uses libqpdf
to fixes errors in PDFs, before it tries to work on them. In most cases
this happens because the PDF is corrupt and truncated (incomplete file
copying) and not much can be done.
You can try rewriting the file with Ghostscript:
:::{code} bash
gs -o output.pdf -dSAFER -sDEVICE=pdfwrite input.pdf
:::
`pdftk` can also rewrite PDFs:
:::{code} bash
pdftk input.pdf cat output output.pdf
:::
Sometimes Acrobat can repair PDFs with its [Preflight
tool](https://helpx.adobe.com/acrobat/using/correcting-problem-areas-preflight-tool.html).
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
=====================
Common error messages
=====================
Page already has text
=====================
.. code-block::
ERROR - 1: page already has text! aborting (use --force-ocr to force OCR)
You ran ocrmypdf on a file that already contains printable text or a
hidden OCR text layer (it can't quite tell the difference). You probably
don't want to do this, because the file is already searchable.
As the error message suggests, your options are:
- ``ocrmypdf --force-ocr`` to :ref:`rasterize <raster-vector>` all
vector content and run OCR on the images. This is useful if a
previous OCR program failed, or if the document contains a text
watermark.
- ``ocrmypdf --skip-text`` to skip OCR and other processing on any
pages that contain text. Text pages will be copied into the output
PDF without modification.
- ``ocrmypdf --redo-ocr`` to scan the file for any existing OCR
(non-printing text), remove it, and do OCR again. This is one way
to take advantage of improvements in OCR accuracy. Printable vector
text is excluded from OCR, so this can be used on files that contain
a mix of digital and scanned files.
Input file 'filename' is not a valid PDF
========================================
OCRmyPDF checks files with pikepdf, a library that in turn uses libqpdf to fixes
errors in PDFs, before it tries to work on them. In most cases this happens
because the PDF is corrupt and truncated (incomplete file copying) and not much
can be done.
You can try rewriting the file with Ghostscript:
.. code-block:: bash
gs -o output.pdf -dSAFER -sDEVICE=pdfwrite input.pdf
``pdftk`` can also rewrite PDFs:
.. code-block:: bash
pdftk input.pdf cat output output.pdf
Sometimes Acrobat can repair PDFs with its `Preflight
tool <https://helpx.adobe.com/acrobat/using/correcting-problem-areas-preflight-tool.html>`__.
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% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# OCRmyPDF documentation
:::{figure} images/logo.svg
:::
OCRmyPDF adds an optical character recognition (OCR) text layer to scanned PDF
files, allowing them to be searched.
PDF is the best format for storing and exchanging scanned documents.
Unfortunately, PDFs can be difficult to modify. OCRmyPDF makes it easy to apply
image processing and OCR (recognized, searchable text) to existing PDFs.
```{toctree}
:maxdepth: 1
introduction
release_notes
installation
languages
jbig2
```
```{toctree}
:caption: Usage
:maxdepth: 2
cookbook
optimizer
docker
advanced
batch
cloud
performance
pdfsecurity
errors
```
```{toctree}
:caption: Developers
:maxdepth: 2
api
plugins
apiref
design_notes
contributing
maintainers
```
# Indices and tables
- {ref}`genindex`
- {ref}`modindex`
- {ref}`search`
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
OCRmyPDF documentation
======================
.. figure:: images/logo.svg
OCRmyPDF adds an optical character recognition (OCR) text layer to scanned PDF
files, allowing them to be searched.
PDF is the best format for storing and exchanging scanned documents.
Unfortunately, PDFs can be difficult to modify. OCRmyPDF makes it easy to apply
image processing and OCR (recognized, searchable text) to existing PDFs.
.. toctree::
:maxdepth: 1
introduction
release_notes
installation
languages
jbig2
.. toctree::
:caption: Usage
:maxdepth: 2
cookbook
optimizer
docker
advanced
batch
cloud
performance
pdfsecurity
errors
.. toctree::
:caption: Developers
:maxdepth: 2
api
plugins
apiref
design_notes
contributing
maintainers
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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---
myst:
substitutions:
deb_12: |-
:::{image} https://repology.org/badge/version-for-repo/debian_12/ocrmypdf.svg
:alt: Debian 12
:::
deb_13: |-
:::{image} https://repology.org/badge/version-for-repo/debian_13/ocrmypdf.svg
:alt: Debian 13
:::
deb_unstable: |-
:::{image} https://repology.org/badge/version-for-repo/debian_unstable/ocrmypdf.svg
:alt: Debian unstable
:::
fedora_40: |-
:::{image} https://repology.org/badge/version-for-repo/fedora_40/ocrmypdf.svg
:alt: Fedora 40
:::
fedora_41: |-
:::{image} https://repology.org/badge/version-for-repo/fedora_41/ocrmypdf.svg
:alt: Fedora 41
:::
fedora_rawhide: |-
:::{image} https://repology.org/badge/version-for-repo/fedora_rawhide/ocrmypdf.svg
:alt: Fedora Rawhide
:::
latest: |-
:::{image} https://img.shields.io/pypi/v/ocrmypdf.svg
:alt: OCRmyPDF latest released version on PyPI
:::
ubu_2204: |-
:::{image} https://repology.org/badge/version-for-repo/ubuntu_22_04/ocrmypdf.svg
:alt: Ubuntu 22.04 LTS
:::
ubu_2404: |-
:::{image} https://repology.org/badge/version-for-repo/ubuntu_24_04/ocrmypdf.svg
:alt: Ubuntu 24.04 LTS
:::
---
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Installing OCRmyPDF
(latest)=
The easiest way to install OCRmyPDF is to follow the steps for your operating
system/platform. This version may be out of date, however.
These platforms have one-liner installs:
:::{list-table}
:header-rows: 0
* - Homebrew (macOS and Linux)
- ``brew install ocrmypdf``
* - Debian, Ubuntu
- ``apt install ocrmypdf``
* - Windows Subsystem for Linux
- ``apt install ocrmypdf``
* - Fedora
- ``dnf install ocrmypdf tesseract-osd``
* - macOS (MacPorts)
- ``port install ocrmypdf``
* - FreeBSD
- ``pkg install textproc/py-ocrmypdf``
* - Snap (snapcraft packaging)
- ``snap install ocrmypdf``
:::
More detailed procedures are outlined below. If you want to do a manual
install, or install a more recent version than your platform provides, read on.
:::{contents} Platform-specific steps
:depth: 2
:local: true
:::
## Installing on Linux
### Debian and Ubuntu 22.04 or newer
:::{list-table}
:header-rows: 1
* - OCRmyPDF versions in Debian & Ubuntu
* - {{ latest }}
* - {{ deb_12 }} {{ deb_13 }} {{ deb_unstable }}
* - {{ ubu_2204 }} {{ ubu_2404 }}
:::
Users of Debian or Ubuntu may simply
```bash
apt install ocrmypdf
```
As indicated in the table above, Debian and Ubuntu releases may lag
behind the latest version. If the version available for your platform is
out of date, you could opt to install the latest version from source.
See [Installing HEAD revision from
sources](#installing-head-revision-from-sources).
For full details on version availability for your platform, check the
[Debian Package Tracker](https://tracker.debian.org/pkg/ocrmypdf) or
[Ubuntu launchpad.net](https://launchpad.net/ocrmypdf).
:::{note}
OCRmyPDF for Debian and Ubuntu currently omit the JBIG2 encoder.
OCRmyPDF works fine without it but will produce larger output files.
All JBIG2 patents expired in 2017, so if you build jbig2enc from source,
OCRmyPDF will automatically detect it on the `PATH`.
To add JBIG2 encoding, see {ref}`jbig2`.
:::
### Fedora
:::{list-table}
:header-rows: 1
* - OCRmyPDF version
* - {{latest}}
* - {{fedora_40}} {{fedora_41}} {{fedora_rawhide}}
:::
Users of Fedora may simply
```bash
dnf install ocrmypdf tesseract-osd
```
For full details on version availability, check the [Fedora Package
Tracker](https://packages.fedoraproject.org/pkgs/ocrmypdf/ocrmypdf/).
If the version available for your platform is out of date, you could opt
to install the latest version from source. See [Installing HEAD revision
from sources](#installing-head-revision-from-sources).
:::{note}
OCRmyPDF for Fedora currently omits the JBIG2 encoder. All JBIG2 patents
expired in 2017. OCRmyPDF works fine without it but will produce larger
output files. If you build jbig2enc from source, OCRmyPDF will automatically
detect it on the `PATH`. To add JBIG2 encoding, see {ref}`jbig2`.
:::
(ubuntu-lts-latest)=
### RHEL 9
Prepare the environment by getting Python 3.12:
```bash
dnf install python3.12 python3.12-pip
```
Then, follow [Requirements for pip and HEAD install](#requirements-for-pip-and-head-install) to install dependencies:
```bash
dnf install ghostscript tesseract
```
and build ocrmypdf in virtual environment:
```bash
python3.12 -m venv .venv
```
To add JBIG2 encoding, see {ref}`Installing the JBIG2 encoder <jbig2>`.
Note Fedora packages for language data haven't been branched for RHEL/EPEL, but you can get traineddata files directly from [tesseract](https://github.com/tesseract-ocr/tessdata/) and place them in `/usr/share/tesseract/tessdata`.
### Installing the latest version on Ubuntu 22.04/24.04 LTS
Ubuntu includes an older version of OCRmyPDF - you can install that with
`apt install ocrmypdf`. To install the latest version, we recommend using uv:
```bash
# Install system dependencies first
sudo apt-get update
sudo apt-get -y install ocrmypdf
# Install uv and upgrade to the latest OCRmyPDF
pip install uv
uv pip install --user --upgrade ocrmypdf
```
Alternatively, use Homebrew on Linux for a full-featured installation (see below).
To add JBIG2 encoding, see {ref}`jbig2`.
### Ubuntu 20.04 LTS (and other older distributions)
:::{note}
Ubuntu 20.04 is approaching end of life. Consider upgrading to Ubuntu 22.04 or 24.04 LTS.
:::
For older distributions, the most convenient way to install a recent version of
OCRmyPDF is to use Homebrew on Linux:
```bash
brew install ocrmypdf
```
See {ref}`homebrew-linux` for more information on using Homebrew on Linux.
### Arch Linux (AUR)
:::{image} https://repology.org/badge/version-for-repo/aur/ocrmypdf.svg
:alt: ArchLinux
:target: https://repology.org/metapackage/ocrmypdf
:::
There is an [Arch User Repository (AUR) package for OCRmyPDF](https://aur.archlinux.org/packages/ocrmypdf/).
Installing AUR packages as root is not allowed, so you must first [setup a
non-root user](https://wiki.archlinux.org/index.php/Users_and_groups#User_management) and
[configure sudo](https://wiki.archlinux.org/index.php/Sudo#Configuration).
The standard Docker image, `archlinux/base:latest`, does **not** have a
non-root user configured, so users of that image must follow these guides. If
you are using a VM image, such as [the official Vagrant image](https://app.vagrantup.com/archlinux/boxes/archlinux), this work may already
be completed for you.
Next you should install the [base-devel package group](https://archlinux.org/packages/core/any/base-devel/). This includes the
standard tooling needed to build packages, such as a compiler and binary tools.
```bash
sudo pacman -S --needed base-devel
```
Now you are ready to install the OCRmyPDF package.
```bash
curl -O https://aur.archlinux.org/cgit/aur.git/snapshot/ocrmypdf.tar.gz
tar xvzf ocrmypdf.tar.gz
cd ocrmypdf
makepkg -sri
```
At this point you will have a working install of OCRmyPDF, but the Tesseract
install wont include any OCR language data. You can install [the
tesseract-data package group](https://www.archlinux.org/groups/any/tesseract-data/) to add all supported
languages, or use that package listing to identify the appropriate package for
your desired language.
```bash
sudo pacman -S tesseract-data-eng
```
As an alternative to this manual procedure, consider using an [AUR helper](https://wiki.archlinux.org/index.php/AUR_helpers). Such a tool will
automatically fetch, build and install the AUR package, resolve dependencies
(including dependencies on AUR packages), and ease the upgrade procedure.
If you have any difficulties with installation, check the repository package
page.
:::{note}
The OCRmyPDF AUR package currently omits the JBIG2 encoder. OCRmyPDF works
fine without it but will produce larger output files. The encoder is
available from [the jbig2enc-git AUR package](https://aur.archlinux.org/packages/jbig2enc-git/) and may be installed
using the same series of steps as for the installation OCRmyPDF AUR
package. Alternatively, it may be built manually from source following the
instructions in {ref}`Installing the JBIG2 encoder <jbig2>`. If JBIG2 is
installed, OCRmyPDF 7.0.0 and later will automatically detect it.
:::
### Alpine Linux
:::{image} https://repology.org/badge/version-for-repo/alpine_edge/ocrmypdf.svg
:alt: Alpine Linux
:target: https://repology.org/metapackage/ocrmypdf
:::
To install OCRmyPDF for Alpine Linux:
```bash
apk add ocrmypdf
```
### Gentoo Linux
:::{image} https://repology.org/badge/version-for-repo/gentoo_ovl_guru/ocrmypdf.svg
:alt: Gentoo Linux
:target: https://repology.org/metapackage/ocrmypdf
:::
To install OCRmyPDF on Gentoo Linux, use the following commands:
```bash
eselect repository enable guru
emaint sync --repo guru
emerge --ask app-text/OCRmyPDF
```
### Other Linux packages
See the
[Repology](https://repology.org/metapackage/ocrmypdf/versions) page.
In general, first install the OCRmyPDF package for your system, then
optionally use the procedure [Installing with Python
pip](#installing-with-python-pip) to install a more recent version.
(homebrew-linux)=
## Installing with Homebrew (macOS and Linux)
:::{image} https://img.shields.io/homebrew/v/ocrmypdf.svg
:alt: homebrew
:target: https://formulae.brew.sh/formula/ocrmypdf
:::
[Homebrew](https://brew.sh) provides a full-featured OCRmyPDF installation
on both macOS and Linux with all recommended dependencies. This is often
the easiest way to get a complete, up-to-date installation.
```bash
brew install ocrmypdf
```
This includes Tesseract, Ghostscript, and all required dependencies. English
language support is included by default. For other languages:
```bash
brew install tesseract-lang # Optional: Install all language packs
```
:::{tip}
**For Linux users:** Homebrew on Linux is an excellent choice when your
distribution's package is outdated or missing optional dependencies like
jbig2enc, pngquant, or unpaper. Homebrew provides a consistent, full-featured
installation that works across many Linux distributions.
Install Homebrew on Linux: https://brew.sh
:::
## Installing on macOS
### Homebrew
See {ref}`homebrew-linux` above - the installation is identical on macOS.
### MacPorts
:::{image} https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fports.macports.org%2Fapi%2Fv1%2Fports%2Focrmypdf%2F%3Fformat%3Djson&query=version&label=MacPorts
:alt: Macports Version Information
:target: https://ports.macports.org/port/ocrmypdf
:::
OCRmyPDF is included in MacPorts:
```bash
sudo port install ocrmypdf
```
Note that while this will install tesseract you will need to install
the appropriate tesseract [language ports](https://ports.macports.org/search/?selected_facets=categories_exact%3Atextproc&installed_file=&q=tesseract&name=on).
### Manual installation on macOS
These instructions are for installing a more current version of OCRmyPDF than
is available from Homebrew. Note that Homebrew versions usually track
releases fairly closely.
If it's not already present, [install Homebrew](http://brew.sh/).
Update Homebrew and install dependencies:
```bash
brew update
```
Install or upgrade the required Homebrew packages, if any are missing.
To do this, use `brew edit ocrmypdf` to obtain a recent list of Homebrew
dependencies. You could also check the `.workflows/build.yml`.
This will include the English, French, German and Spanish language
packs. If you need other languages you can optionally install them all:
(macos-all-languages)=
> ```bash
> brew install tesseract-lang # Option 2: for all language packs
> ```
Install uv and OCRmyPDF:
```bash
pip install uv
uv pip install --user ocrmypdf
```
The command line program should now be available:
```bash
ocrmypdf --help
```
## Installing on Windows
### Native Windows
% If you have a Windows that is not the Home edition, you can use Windows Sandbox to test on a blank Windows instance.
% https://learn.microsoft.com/en-us/windows/security/application-security/application-isolation/windows-sandbox/
:::{note}
Administrator privileges will be required for some of these steps.
:::
You must install the following for Windows:
- Python 64-bit
- Tesseract 64-bit
- Ghostscript 64-bit
Using the [winget](https://docs.microsoft.com/en-us/windows/package-manager/winget/)
package manager:
- `winget install -e --id Python.Python.3.12`
- `winget install -e --id UB-Mannheim.TesseractOCR`
You will need to install Ghostscript manually, [since it does not support automated
installs anymore](https://artifex.com/news/ghostscript-10.01.0-disabling-silent-install-option).
- [Ghostscript download page](https://ghostscript.com/releases/gsdnld.html).\`
(Or alternately, using the [Chocolatey](https://chocolatey.org/) package manager, install
the following when running in an Administrator command prompt):
- `choco install python3`
- `choco install --pre tesseract`
- `choco install pngquant` (optional)
Either set of commands will install the required software. At the moment there is no
single command to install Windows.
You may then use `pip` to install ocrmypdf. (This can performed by a user or
Administrator.):
- `python3 -m pip install ocrmypdf`
% The Windows Python versions do not place any python or python3 executable in the path.
% They add the py launcher to the path:
% https://docs.python.org/3/using/windows.html#python-launcher-for-windows
If you installed Python using WinGet, then use the following command instead:
- `py -m pip install ocrmypdf`
and use:
- `py -m ocrmypdf`
To start OCRmyPDF.
If you intend to use more Python software on your Windows machine, consider the use of
[pipx](https://pipx.pypa.io/stable/) or a similar tool to create isolated Python
environments for each Python software that you want to use.
OCRmyPDF will check the Windows Registry and standard locations in your Program Files
for third party software it needs (specifically, Tesseract and Ghostscript). To
override the versions OCRmyPDF selects, you can modify the `PATH` environment
variable. [Follow these directions](https://www.computerhope.com/issues/ch000549.htm#dospath)
to change the PATH.
:::{warning}
32-bit Windows is not supported.
:::
### Windows Subsystem for Linux
1. Install Ubuntu 22.04 for Windows Subsystem for Linux, if not already installed.
2. Follow the procedure to install {ref}`OCRmyPDF on Ubuntu 22.04 <ubuntu-lts-latest>`.
3. Open the Windows command prompt and create a symlink:
```powershell
wsl sudo ln -s /home/$USER/.local/bin/ocrmypdf /usr/local/bin/ocrmypdf
```
Then confirm that the expected version from PyPI ({{ latest }}) is installed:
```powershell
wsl ocrmypdf --version
```
You can then run OCRmyPDF in the Windows command prompt or Powershell, prefixing
`wsl`, and call it from Windows programs or batch files.
### Cygwin64
First install the the following prerequisite Cygwin packages using `setup-x86_64.exe`:
```
python311 (or later)
python3?-devel
python3?-pip
python3?-lxml
python3?-imaging
(where 3? means match the version of python3 you installed)
gcc-g++
ghostscript
libexempi3
libexempi-devel
libffi6
libffi-devel
pngquant
qpdf
libqpdf-devel
tesseract-ocr
tesseract-ocr-devel
```
Then open a Cygwin terminal (i.e. `mintty`), run the following commands. Note
that if you are using the version of `pip` that was installed with the Cygwin
Python package, the command name will be `pip3`. If you have since updated
`pip` (with, for instance `pip3 install --upgrade pip`) the the command is
likely just `pip` instead of `pip3`:
```bash
pip3 install wheel
pip3 install ocrmypdf
```
The optional dependency "unpaper" that is currently not available under Cygwin.
Without it, certain options such as `--clean` will produce an error message.
However, the OCR-to-text-layer functionality is available.
### Docker
You can also [Install the Docker image](docker) on Windows. Ensure that
your command prompt can run the docker "hello world" container.
## Installing on FreeBSD
:::{image} https://repology.org/badge/version-for-repo/freebsd/ocrmypdf.svg
:alt: FreeBSD
:target: https://repology.org/project/ocrmypdf/versions
:::
```bash
pkg install textproc/py-ocrmypdf
```
To install a more recent version, you could attempt to first install the system
version with `pkg`, then use `pip install --user ocrmypdf`.
## Installing the Docker image
For some users, installing the Docker image will be easier than
installing all of OCRmyPDF's dependencies.
See [Installing the Docker image](docker) for more information.
(installing-with-python-pip)=
## Installing with uv (recommended)
We recommend using [uv](https://docs.astral.sh/uv/) for installing OCRmyPDF from PyPI.
uv is a fast, modern Python package manager that provides better dependency resolution
and consistent behavior across all platforms.
For best results, first install [your platform's
version](https://repology.org/metapackage/ocrmypdf/versions) of
`ocrmypdf` using the instructions elsewhere in this document to satisfy system
dependencies. Then use uv to get the latest OCRmyPDF version.
```bash
# Install uv if you don't have it
pip install uv
# Install ocrmypdf in a virtual environment (recommended)
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv pip install ocrmypdf
# Or install globally
uv pip install --system ocrmypdf
```
Use `ocrmypdf --version` to confirm what version was installed.
### Installing with pip
If you prefer pip, you can still use it:
```bash
pip install --user ocrmypdf
```
(If the message appears `Requirement already satisfied: ocrmypdf in...`,
you will need to use `pip install --user --upgrade ocrmypdf`.)
### Installing with pipx
Some users may prefer pipx for isolated command-line tool installations:
```bash
pipx install ocrmypdf
```
Or run without permanent installation:
```bash
pipx run ocrmypdf
```
(requirements-for-pip-and-head-install)=
### Requirements for pip and HEAD install
OCRmyPDF currently requires these external programs and libraries to be
installed, and must be satisfied using the operating system package
manager. `pip` cannot provide them.
:::{versionchanged} 17.0.0
Ghostscript is now optional. pypdfium2 can be used for PDF rasterization,
and verapdf can validate speculative PDF/A conversion.
:::
The following versions are required:
- Python 3.11 or newer (3.12+ recommended)
- Tesseract 4.1.1 or newer
- One of: Ghostscript 9.54+ **or** pypdfium2 (Python package)
- One of: Ghostscript 9.54+ **or** verapdf (for PDF/A output)
- fpdf2 2.8 or newer (Python package)
- uharfbuzz (Python package)
- fonts-noto or equivalent (system package, recommended)
- jbig2enc 0.29 or newer (optional)
- pngquant 2.5 or newer (optional)
- unpaper 6.1 (optional)
:::{note}
For the best user experience, install both Ghostscript and pypdfium2. pypdfium2 is
faster for rasterization, while Ghostscript provides is required for certain PDF/A
conversions.
:::
**Dependency summary:**
| Feature | Option 1 | Option 2 | Notes |
|---------|----------|----------|-------|
| PDF rasterization | pypdfium2 (Python) | Ghostscript (binary) | pypdfium2 preferred when available |
| PDF/A conversion | verapdf + pikepdf | Ghostscript | verapdf validates speculative conversion |
| Text rendering | fpdf2 + uharfbuzz | - | Required |
| OCR | tesseract-ocr | `--ocr-engine none` | Can be skipped entirely |
**Minimum viable installation:**
tesseract-ocr + (pypdfium2 OR Ghostscript) + fpdf2 + uharfbuzz
**Recommended installation:**
tesseract-ocr + pypdfium2 + Ghostscript + verapdf + fpdf2 + uharfbuzz + fonts-noto + unpaper + pngquant + jbig2enc
We recommend 64-bit versions of all software. (32-bit versions are not
supported, although on Linux, they may still work.)
**fpdf2** and **uharfbuzz** are required dependencies that provide the text
layer rendering engine. fpdf2 generates the PDF text layer, while uharfbuzz
provides text shaping for proper multilingual support. These replace the
legacy hOCR-based renderer. Install with: `pip install fpdf2 uharfbuzz`
**fonts-noto** (or an equivalent comprehensive font package) is recommended
for proper text rendering, especially for non-Latin scripts. On Debian/Ubuntu:
`apt install fonts-noto`. On Fedora: `dnf install google-noto-fonts-common`.
On macOS with Homebrew: `brew install font-noto`.
**pypdfium2**, if present, provides fast PDF page rasterization using
the pdfium library (the same library used by Google Chrome). It is
preferred over Ghostscript when available due to better performance.
Install with: `pip install pypdfium2`
**verapdf**, if present, enables fast speculative PDF/A conversion.
OCRmyPDF attempts to create PDF/A by adding metadata and ICC profiles
using pikepdf, then validates with verapdf. If validation passes,
Ghostscript is skipped entirely. See your distribution's package manager
or visit [verapdf.org](https://verapdf.org/).
**jbig2enc**, if present, will be used to optimize the encoding of
monochrome images. This can significantly reduce the file size of the
output file. It is not required.
[jbig2enc](https://github.com/agl/jbig2enc) is not available in some
distributions due to historical patent concerns, but all JBIG2 patents
expired in 2017. It can easily be built from source. To add JBIG2 encoding,
see {ref}`jbig2`.
:::{warning}
Lossy JBIG2 encoding (`--jbig2-lossy`) has been removed in v17.0.0 due to
well-documented risks of character substitution errors. Only lossless
JBIG2 compression is now supported.
:::
**pngquant**, if present, is optionally used to optimize the encoding of
PNG-style images in PDFs (actually, any that are that losslessly
encoded) by lossily quantizing to a smaller color palette. It is only
activated then the `--optimize` argument is `2` or `3`.
**unpaper**, if present, enables the `--clean` and `--clean-final`
command line options.
These are in addition to the Python packaging dependencies, meaning that
unfortunately, the `pip install` command cannot satisfy all of them.
(installing-head-revision-from-sources)=
## Installing HEAD revision from sources
If you have `git` and Python 3.12 or newer installed, you can install
from source. (Python 3.11 is supported but 3.12+ is recommended.) When the `pip` installer runs, it will alert you if
dependencies are missing.
If you prefer to build every from source, you will need to [build
pikepdf from
source](https://pikepdf.readthedocs.io/en/latest/installation.html#building-from-source).
First ensure you can build and install pikepdf.
We recommend using uv to install from sources:
```bash
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
cd OCRmyPDF
pip install uv # If not already installed
uv sync
```
This creates a virtual environment and installs all dependencies. Activate
the environment to use ocrmypdf:
```bash
source .venv/bin/activate
ocrmypdf --help
```
Alternatively, install directly from GitHub using pip:
```bash
pip install git+https://github.com/ocrmypdf/OCRmyPDF.git
```
Or, to install in editable mode allowing customization:
```bash
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
cd OCRmyPDF
pip install -e .
```
Note: `ocrmypdf` will only be accessible when the virtual environment
is activated.
To run the program:
```bash
ocrmypdf --help
```
If not yet installed, the script will notify you about dependencies that
need to be installed. The script requires specific versions of the
dependencies. Older version than the ones mentioned in the release notes
are likely not to be compatible to OCRmyPDF.
## Optional Features
OCRmyPDF provides optional features and development tools. We recommend using `uv` as your package manager.
### Installing User Features
User features are available as optional dependencies. Install them with `uv` (recommended) or `pip`:
```bash
# Using uv (recommended)
uv sync --extra watcher # File watching service
uv sync --extra webservice # Streamlit web UI
uv sync --extra watcher --extra webservice # Multiple features
```
### Development Tools
Development tools use dependency groups:
```bash
# Testing infrastructure
uv sync --group test
# Documentation building
uv sync --group docs
# Enhanced Streamlit development
uv sync --group streamlit-dev
# All development groups
uv sync
```
**Why use uv?**
- Modern, fast Python package manager
- Required for development (testing, docs)
- Better dependency resolution
- Consistent across all platforms
Install uv: `curl -LsSf https://astral.sh/uv/install.sh | sh` or visit https://docs.astral.sh/uv/
### For development
To install all of the development and test requirements:
```bash
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
cd OCRmyPDF
uv sync --all-groups
```
To add JBIG2 encoding, see {ref}`jbig2`.
## Shell completions
Completions for `bash` and `fish` are available in the project's
`misc/completion` folder. The `bash` completions are likely `zsh`
compatible but this has not been confirmed. Package maintainers, please
install these at the appropriate locations for your system.
To manually install the `bash` completion, copy
`misc/completion/ocrmypdf.bash` to `/etc/bash_completion.d/ocrmypdf`
(rename the file).
To manually install the `fish` completion, copy
`misc/completion/ocrmypdf.fish` to
`~/.config/fish/completions/ocrmypdf.fish`.
## Note on 32-bit support
We don't support any 32-bit system, including 32-bit Python or 32-bit
Ghostscript on Windows.
-702
View File
@@ -1,702 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
===================
Installing OCRmyPDF
===================
.. |latest| image:: https://img.shields.io/pypi/v/ocrmypdf.svg
:alt: OCRmyPDF latest released version on PyPI
|latest|
The easiest way to install OCRmyPDF is to follow the steps for your operating
system/platform. This version may be out of date, however.
These platforms have one-liner installs:
+-------------------------------+-----------------------------------------+
| Debian, Ubuntu | ``apt install ocrmypdf`` |
+-------------------------------+-----------------------------------------+
| Windows Subsystem for Linux | ``apt install ocrmypdf`` |
+-------------------------------+-----------------------------------------+
| Fedora | ``dnf install ocrmypdf tesseract-osd`` |
+-------------------------------+-----------------------------------------+
| macOS | ``brew install ocrmypdf`` |
+-------------------------------+-----------------------------------------+
| LinuxBrew | ``brew install ocrmypdf`` |
+-------------------------------+-----------------------------------------+
| FreeBSD | ``pkg install textproc/py-ocrmypdf`` |
+-------------------------------+-----------------------------------------+
| Conda (WSL, macOS, Linux) | ``conda install ocrmypdf`` |
+-------------------------------+-----------------------------------------+
| Snap (snapcraft packaging) | ``snap install ocrmypdf`` |
+-------------------------------+-----------------------------------------+
More detailed procedures are outlined below. If you want to do a manual
install, or install a more recent version than your platform provides, read on.
.. contents:: Platform-specific steps
:depth: 2
:local:
Installing on Linux
===================
Debian and Ubuntu 20.04 or newer
--------------------------------
.. |deb-11| image:: https://repology.org/badge/version-for-repo/debian_11/ocrmypdf.svg
:alt: Debian 11
.. |deb-12| image:: https://repology.org/badge/version-for-repo/debian_12/ocrmypdf.svg
:alt: Debian 12
.. |deb-unstable| image:: https://repology.org/badge/version-for-repo/debian_unstable/ocrmypdf.svg
:alt: Debian unstable
.. |ubu-2004| image:: https://repology.org/badge/version-for-repo/ubuntu_20_04/ocrmypdf.svg
:alt: Ubuntu 20.04 LTS
.. |ubu-2204| image:: https://repology.org/badge/version-for-repo/ubuntu_22_04/ocrmypdf.svg
:alt: Ubuntu 22.04 LTS
+-----------------------------------------------+
| **OCRmyPDF versions in Debian & Ubuntu** |
+-----------------------------------------------+
| |latest| |
+-----------------------------------------------+
| |deb-11| |deb-12| |deb-unstable| |
+-----------------------------------------------+
| |ubu-2004| |ubu-2204| |
+-----------------------------------------------+
Users of Debian or Ubuntu may simply
.. code-block:: bash
apt install ocrmypdf
As indicated in the table above, Debian and Ubuntu releases may lag
behind the latest version. If the version available for your platform is
out of date, you could opt to install the latest version from source.
See `Installing HEAD revision from
sources <#installing-head-revision-from-sources>`__.
For full details on version availability for your platform, check the
`Debian Package Tracker <https://tracker.debian.org/pkg/ocrmypdf>`__ or
`Ubuntu launchpad.net <https://launchpad.net/ocrmypdf>`__.
.. note::
OCRmyPDF for Debian and Ubuntu currently omit the JBIG2 encoder.
OCRmyPDF works fine without it but will produce larger output files.
If you build jbig2enc from source, ocrmypdf will
automatically detect it (specifically the ``jbig2`` binary) on the
``PATH``. To add JBIG2 encoding, see :ref:`jbig2`.
Fedora
------
.. |fedora-37| image:: https://repology.org/badge/version-for-repo/fedora_37/ocrmypdf.svg
:alt: Fedora 37
.. |fedora-38| image:: https://repology.org/badge/version-for-repo/fedora_38/ocrmypdf.svg
:alt: Fedora 38
.. |fedora-rawhide| image:: https://repology.org/badge/version-for-repo/fedora_rawhide/ocrmypdf.svg
:alt: Fedore Rawhide
+-----------------------------------------------+
| **OCRmyPDF version** |
+-----------------------------------------------+
| |latest| |
+-----------------------------------------------+
| |fedora-37| |fedora-38| |fedora-rawhide| |
+-----------------------------------------------+
Users of Fedora may simply
.. code-block:: bash
dnf install ocrmypdf tesseract-osd
For full details on version availability, check the `Fedora Package
Tracker <https://apps.fedoraproject.org/packages/ocrmypdf>`__.
If the version available for your platform is out of date, you could opt
to install the latest version from source. See `Installing HEAD revision
from sources <#installing-head-revision-from-sources>`__.
.. note::
OCRmyPDF for Fedora currently omits the JBIG2 encoder due to patent
issues. OCRmyPDF works fine without it but will produce larger output
files. If you build jbig2enc from source, ocrmypdf 7.0.0 and later
will automatically detect it on the ``PATH``. To add JBIG2 encoding,
see `Installing the JBIG2 encoder <jbig2>`__.
.. _ubuntu-lts-latest:
RHEL 9
------
Prepare the environment by getting Python 3.11:
.. code-block:: bash
dnf install python3.11 python3.11-pip
Then, follow `Requirements for pip and HEAD install <#requirements-for-pip-and-head-install>`__ to instal dependencies:
.. code-block:: bash
dnf install ghostscript tesseract
and build ocrmypdf in virtual environment:
.. code-block:: bash
python3.11 -m venv .venv
To add JBIG2 encoding, see `Installing the JBIG2 encoder <jbig2>`__.
Note Fedora packages for language data haven't been branched for RHEL/EPEL, but you can get traineddata files directly from `tesseract
<https://github.com/tesseract-ocr/tessdata/>`__ and place them in ``/usr/share/tesseract/tessdata``.
Installing the latest version on Ubuntu 22.04 LTS
-------------------------------------------------
Ubuntu 22.04 includes ocrmypdf 13.4.0 - you can install that with
``apt install ocrmypdf``. To install a more recent version for the current
user, follow these steps:
.. code-block:: bash
sudo apt-get update
sudo apt-get -y install ocrmypdf python3-pip
pip install --user --upgrade ocrmypdf
If you get the message ``WARNING: The script ocrmypdf is installed in
'/home/$USER/.local/bin' which is not on PATH.``, you may need to re-login
or open a new shell, or manually adjust your PATH.
To add JBIG2 encoding, see :ref:`jbig2`.
Ubuntu 20.04 LTS
----------------
Ubuntu 20.04 includes ocrmypdf 9.6.0 - you can install that with ``apt``. The
most convenient way to install recent OCRmyPDF on older Ubuntu is to use
Homebrew on Linux (Linuxbrew).
.. code-block:: bash
brew install ocrmypdf
Arch Linux (AUR)
----------------
.. image:: https://repology.org/badge/version-for-repo/aur/ocrmypdf.svg
:alt: ArchLinux
:target: https://repology.org/metapackage/ocrmypdf
There is an `Arch User Repository (AUR) package for OCRmyPDF
<https://aur.archlinux.org/packages/ocrmypdf/>`__.
Installing AUR packages as root is not allowed, so you must first `setup a
non-root user
<https://wiki.archlinux.org/index.php/Users_and_groups#User_management>`__ and
`configure sudo <https://wiki.archlinux.org/index.php/Sudo#Configuration>`__.
The standard Docker image, ``archlinux/base:latest``, does **not** have a
non-root user configured, so users of that image must follow these guides. If
you are using a VM image, such as `the official Vagrant image
<https://app.vagrantup.com/archlinux/boxes/archlinux>`__, this work may already
be completed for you.
Next you should install the `base-devel package group
<https://www.archlinux.org/groups/x86_64/base-devel/>`__. This includes the
standard tooling needed to build packages, such as a compiler and binary tools.
.. code-block:: bash
sudo pacman -S base-devel
Now you are ready to install the OCRmyPDF package.
.. code-block:: bash
curl -O https://aur.archlinux.org/cgit/aur.git/snapshot/ocrmypdf.tar.gz
tar xvzf ocrmypdf.tar.gz
cd ocrmypdf
makepkg -sri
At this point you will have a working install of OCRmyPDF, but the Tesseract
install wont include any OCR language data. You can install `the
tesseract-data package group
<https://www.archlinux.org/groups/any/tesseract-data/>`__ to add all supported
languages, or use that package listing to identify the appropriate package for
your desired language.
.. code-block:: bash
sudo pacman -S tesseract-data-eng
As an alternative to this manual procedure, consider using an `AUR helper
<https://wiki.archlinux.org/index.php/AUR_helpers>`__. Such a tool will
automatically fetch, build and install the AUR package, resolve dependencies
(including dependencies on AUR packages), and ease the upgrade procedure.
If you have any difficulties with installation, check the repository package
page.
.. note::
The OCRmyPDF AUR package currently omits the JBIG2 encoder. OCRmyPDF works
fine without it but will produce larger output files. The encoder is
available from `the jbig2enc-git AUR package
<https://aur.archlinux.org/packages/jbig2enc-git/>`__ and may be installed
using the same series of steps as for the installation OCRmyPDF AUR
package. Alternatively, it may be built manually from source following the
instructions in `Installing the JBIG2 encoder <jbig2>`__. If JBIG2 is
installed, OCRmyPDF 7.0.0 and later will automatically detect it.
Alpine Linux
------------
.. image:: https://repology.org/badge/version-for-repo/alpine_edge/ocrmypdf.svg
:alt: Alpine Linux
:target: https://repology.org/metapackage/ocrmypdf
To install OCRmyPDF for Alpine Linux:
.. code-block:: bash
apk add ocrmypdf
Gentoo Linux
------------
.. image:: https://repology.org/badge/version-for-repo/gentoo_ovl_guru/ocrmypdf.svg
:alt: Gentoo Linux
:target: https://repology.org/metapackage/ocrmypdf
To install OCRmyPDF on Gentoo Linux, use the following commands:
.. code-block:: bash
eselect repository enable guru
emaint sync --repo guru
emerge --ask app-text/OCRmyPDF
Other Linux packages
--------------------
See the
`Repology <https://repology.org/metapackage/ocrmypdf/versions>`__ page.
In general, first install the OCRmyPDF package for your system, then
optionally use the procedure `Installing with Python
pip <#installing-with-python-pip>`__ to install a more recent version.
Installing on macOS
===================
Homebrew
--------
.. image:: https://img.shields.io/homebrew/v/ocrmypdf.svg
:alt: homebrew
:target: https://formulae.brew.sh/formula/ocrmypdf
OCRmyPDF is now a standard `Homebrew <https://brew.sh>`__ formula. To
install on macOS:
.. code-block:: bash
brew install ocrmypdf
This will include only the English language pack. If you need other
languages you can optionally install them all:
.. code-block:: bash
brew install tesseract-lang # Optional: Install all language packs
Manual installation on macOS
----------------------------
These instructions probably work on all macOS supported by Homebrew, and are
for installing a more current version of OCRmyPDF than is available from
Homebrew. Note that the Homebrew versions usually track the release versions
fairly closely.
If it's not already present, `install Homebrew <http://brew.sh/>`__.
Update Homebrew:
.. code-block:: bash
brew update
Install or upgrade the required Homebrew packages, if any are missing.
To do this, use ``brew edit ocrmypdf`` to obtain a recent list of Homebrew
dependencies. You could also check the ``.workflows/build.yml``.
This will include the English, French, German and Spanish language
packs. If you need other languages you can optionally install them all:
.. _macos-all-languages:
.. code-block:: bash
brew install tesseract-lang # Option 2: for all language packs
Update the homebrew pip:
.. code-block:: bash
pip install --upgrade pip
You can then install OCRmyPDF from PyPI for the current user:
.. code-block:: bash
pip install --user ocrmypdf
The command line program should now be available:
.. code-block:: bash
ocrmypdf --help
Installing on Windows
=====================
Native Windows
--------------
.. note::
Administrator privileges will be required for some of these steps.
You must install the following for Windows:
* Python 64-bit
* Tesseract 64-bit
* Ghostscript 64-bit
Using the `winget <https://docs.microsoft.com/en-us/windows/package-manager/winget/>`_
package manager:
* ``winget install -e --id Python.Python.3.11``
* ``winget install -e --id UB-Mannheim.TesseractOCR``
You will need to install Ghostscript manually, `since it does not support automated
installs anymore <https://artifex.com/news/ghostscript-10.01.0-disabling-silent-install-option>`_.
* `Ghostscript download page <https://ghostscript.com/releases/gsdnld.html>`_.`
(Or alternately, using the `Chocolatey <https://chocolatey.org/>`_ package manager, install
the following when running in an Administrator command prompt):
* ``choco install python3``
* ``choco install --pre tesseract``
* ``choco install pngquant`` (optional)
Either set of commands will install the required software. At the moment there is no
single command to install Windows.
You may then use ``pip`` to install ocrmypdf. (This can performed by a user or
Administrator.):
* ``python3 -m pip install ocrmypdf``
OCRmyPDF will check the Windows Registry and standard locations in your Program Files
for third party software it needs (specifically, Tesseract and Ghostscript). To
override the versions OCRmyPDF selects, you can modify the ``PATH`` environment
variable. `Follow these directions <https://www.computerhope.com/issues/ch000549.htm#dospath>`_
to change the PATH.
.. warning::
As of early 2021, users have reported problems with the Microsoft Store version of
Python and OCRmyPDF. These issues affect many other third party Python packages.
Please download Python from Python.org or a package manager instead of the
Microsoft Store version.
.. warning::
32-bit Windows is not supported.
Windows Subsystem for Linux
---------------------------
#. Install Ubuntu 22.04 for Windows Subsystem for Linux, if not already installed.
#. Follow the procedure to install :ref:`OCRmyPDF on Ubuntu 22.04 <ubuntu-lts-latest>`.
#. Open the Windows command prompt and create a symlink:
.. code-block:: powershell
wsl sudo ln -s /home/$USER/.local/bin/ocrmypdf /usr/local/bin/ocrmypdf
Then confirm that the expected version from PyPI (|latest|) is installed:
.. code-block:: powershell
wsl ocrmypdf --version
You can then run OCRmyPDF in the Windows command prompt or Powershell, prefixing
``wsl``, and call it from Windows programs or batch files.
Cygwin64
--------
First install the the following prerequisite Cygwin packages using ``setup-x86_64.exe``::
python310 (or later)
python3?-devel
python3?-pip
python3?-lxml
python3?-imaging
(where 3? means match the version of python3 you installed)
gcc-g++
ghostscript
libexempi3
libexempi-devel
libffi6
libffi-devel
pngquant
qpdf
libqpdf-devel
tesseract-ocr
tesseract-ocr-devel
Then open a Cygwin terminal (i.e. ``mintty``), run the following commands. Note
that if you are using the version of ``pip`` that was installed with the Cygwin
Python package, the command name will be ``pip3``. If you have since updated
``pip`` (with, for instance ``pip3 install --upgrade pip``) the the command is
likely just ``pip`` instead of ``pip3``:
.. code-block:: bash
pip3 install wheel
pip3 install ocrmypdf
The optional dependency "unpaper" that is currently not available under Cygwin.
Without it, certain options such as ``--clean`` will produce an error message.
However, the OCR-to-text-layer functionality is available.
Docker
------
You can also :ref:`Install the Docker <docker>` container on Windows. Ensure that
your command prompt can run the docker "hello world" container.
Installing on FreeBSD
=====================
.. image:: https://repology.org/badge/version-for-repo/freebsd/ocrmypdf.svg
:alt: FreeBSD
:target: https://repology.org/project/ocrmypdf/versions
.. code-block:: bash
pkg install textproc/py-ocrmypdf
To install a more recent version, you could attempt to first install the system
version with ``pkg``, then use ``pip install --user ocrmypdf``.
Installing the Docker image
===========================
For some users, installing the Docker image will be easier than
installing all of OCRmyPDF's dependencies.
See :ref:`docker` for more information.
Installing with Python pip
==========================
OCRmyPDF is delivered by PyPI because it is a convenient way to install
the latest version. However, PyPI and ``pip`` cannot address the fact
that ``ocrmypdf`` depends on certain non-Python system libraries and
programs being installed.
For best results, first install `your platform's
version <https://repology.org/metapackage/ocrmypdf/versions>`__ of
``ocrmypdf``, using the instructions elsewhere in this document. Then
you can use ``pip`` to get the latest version if your platform version
is out of date. Chances are that this will satisfy most dependencies.
Use ``ocrmypdf --version`` to confirm what version was installed.
Then you can install the latest OCRmyPDF from the Python wheels. First
try:
.. code-block:: bash
pip install --user ocrmypdf
(If the message appears ``Requirement already satisfied: ocrmypdf in...``,
you will need to use ``pip install --user --upgrade ocrmypdf``.)
You should then be able to run ``ocrmypdf --version`` and see that the
latest version was located.
Installing with pipx
====================
Some users may prefer pipx. As with the method above, you will need to
satisfy all non-Python dependencies. Then if pipx is installed, you
can use
.. code-block:: bash
pipx run ocrmypdf
(If not installed, pipx will install first.)
Requirements for pip and HEAD install
-------------------------------------
OCRmyPDF currently requires these external programs and libraries to be
installed, and must be satisfied using the operating system package
manager. ``pip`` cannot provide them.
The following versions are required:
- Python 3.10 or newer
- Ghostscript 9.54 or newer
- Tesseract 4.1.1 or newer
- jbig2enc 0.29 or newer
- pngquant 2.5 or newer
- unpaper 6.1
We recommend 64-bit versions of all software. (32-bit versions are not
supported, although on Linux, they may still work.)
jbig2enc, pngquant, and unpaper are optional. If missing certain
features are disabled. OCRmyPDF will discover them as soon as they are
available.
**jbig2enc**, if present, will be used to optimize the encoding of
monochrome images. This can significantly reduce the file size of the
output file. It is not required.
`jbig2enc <https://github.com/agl/jbig2enc>`__ is not generally
available for Ubuntu or Debian due to lingering concerns about patent
issues, but can easily be built from source. To add JBIG2 encoding, see
:ref:`jbig2`.
**pngquant**, if present, is optionally used to optimize the encoding of
PNG-style images in PDFs (actually, any that are that losslessly
encoded) by lossily quantizing to a smaller color palette. It is only
activated then the ``--optimize`` argument is ``2`` or ``3``.
**unpaper**, if present, enables the ``--clean`` and ``--clean-final``
command line options.
These are in addition to the Python packaging dependencies, meaning that
unfortunately, the ``pip install`` command cannot satisfy all of them.
Installing HEAD revision from sources
=====================================
If you have ``git`` and Python 3.10 or newer installed, you can install
from source. When the ``pip`` installer runs, it will alert you if
dependencies are missing.
If you prefer to build every from source, you will need to `build
pikepdf from
source <https://pikepdf.readthedocs.io/en/latest/installation.html#building-from-source>`__.
First ensure you can build and install pikepdf.
To install the HEAD revision from sources in the current Python 3
environment:
.. code-block:: bash
pip install git+https://github.com/ocrmypdf/OCRmyPDF.git
Or, to install in `development
mode <https://pythonhosted.org/setuptools/setuptools.html#development-mode>`__,
allowing customization of OCRmyPDF, use the ``-e`` flag:
.. code-block:: bash
pip install -e git+https://github.com/ocrmypdf/OCRmyPDF.git
You may find it easiest to install in a virtual environment, rather than
system-wide:
.. code-block:: bash
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
python3 -m venv .venv
source .venv/bin/activate
cd OCRmyPDF
pip install .
However, ``ocrmypdf`` will only be accessible on the system PATH when
you activate the virtual environment.
To run the program:
.. code-block:: bash
ocrmypdf --help
If not yet installed, the script will notify you about dependencies that
need to be installed. The script requires specific versions of the
dependencies. Older version than the ones mentioned in the release notes
are likely not to be compatible to OCRmyPDF.
For development
---------------
To install all of the development and test requirements:
.. code-block:: bash
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
python -m .venv
source .venv/bin/activate
cd OCRmyPDF
pip install -e .[test]
To add JBIG2 encoding, see :ref:`jbig2`.
Shell completions
=================
Completions for ``bash`` and ``fish`` are available in the project's
``misc/completion`` folder. The ``bash`` completions are likely ``zsh``
compatible but this has not been confirmed. Package maintainers, please
install these at the appropriate locations for your system.
To manually install the ``bash`` completion, copy
``misc/completion/ocrmypdf.bash`` to ``/etc/bash_completion.d/ocrmypdf``
(rename the file).
To manually install the ``fish`` completion, copy
``misc/completion/ocrmypdf.fish`` to
``~/.config/fish/completions/ocrmypdf.fish``.
Note on 32-bit support
======================
Many Python libraries no longer provide 32-bit binary wheels for Linux. This
includes many of the libraries that OCRmyPDF depends on, such as
Pillow. The easiest way to express this to end users is to say we don't
support 32-bit Linux.
However, if your Linux distribution still supports 32-bit binaries, you
can still install and use OCRmyPDF. A warning message will appear.
In practice, OCRmyPDF may need more than 32-bit memory space to run when
large documents are processed, so there are practical limitations to what
users can accomplish with it. Still, for the common use case of an 32-bit
ARM NAS or Raspberry Pi processing small documents, it should work.
+86 -78
View File
@@ -1,10 +1,7 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
============
Introduction
============
# Introduction
OCRmyPDF is a Python application and library that adds text "layers" to images in
PDFs, making scanned image PDFs searchable. It uses OCR to guess the text
@@ -13,31 +10,30 @@ that enable customization of its processing steps, and it is highly tolerant
of PDFs containing scanned images and "born digital" content that doesn't
require text recognition.
About OCR
=========
## About OCR
`Optical character
recognition <https://en.wikipedia.org/wiki/Optical_character_recognition>`__
[Optical character
recognition](https://en.wikipedia.org/wiki/Optical_character_recognition)
is a technology that converts images of typed or handwritten text, such as
in a scanned document, into computer text that can be selected, searched and copied.
OCRmyPDF uses
`Tesseract <https://github.com/tesseract-ocr/tesseract>`__, a widely
[Tesseract](https://github.com/tesseract-ocr/tesseract), a widely
available open source OCR engine, to perform OCR.
.. _raster-vector:
(raster-vector)=
About PDFs
==========
## About PDFs
PDFs are page description files that attempt to preserve a layout
exactly. They contain `vector
graphics <http://vector-conversions.com/vectorizing/raster_vs_vector.html>`__
exactly. They contain [vector
graphics](http://vector-conversions.com/vectorizing/raster_vs_vector.html)
that can contain raster objects, such as scanned images. Because PDFs can
contain multiple pages (unlike many image formats) and can contain fonts
and text, they are a suitable format for exchanging scanned documents.
|image|
:::{image} images/bitmap_vs_svg.svg
:::
A PDF page may contain multiple images, even if it appears to have only
one image. Some scanners or scanning software may segment pages into
@@ -48,10 +44,9 @@ Rasterizing a PDF is the process of generating corresponding raster images.
OCR engines like Tesseract work with images, not scalable vector graphics
or mixed raster-vector-text graphics such as PDF.
About PDF/A
===========
## About PDF/A
`PDF/A <https://en.wikipedia.org/wiki/PDF/A>`__ is an ISO-standardized
[PDF/A](https://en.wikipedia.org/wiki/PDF/A) is an ISO-standardized
subset of the full PDF specification that is designed for archiving (the
'A' stands for Archive). PDF/A differs from PDF primarily by omitting
features that could complicate future file readability,
@@ -63,8 +58,8 @@ of embedded content, it is likely more secure.
There are various conformance levels and versions, such as "PDF/A-2b".
In general, the preferred format for scanned documents is PDF/A. Some
governments and jurisdictions, US Courts in particular, `mandate the use
of PDF/A <https://pdfblog.com/2012/02/13/what-is-pdfa/>`__ for scanned
governments and jurisdictions, US Courts in particular, [mandate the use
of PDF/A](https://pdfblog.com/2012/02/13/what-is-pdfa/) for scanned
documents.
Since most individuals scanning documents aim for long-term readability,
@@ -78,15 +73,21 @@ files can be digitally signed but may not be encrypted to ensure future
readability. Fortunately, converting from PDF/A to a regular PDF is
straightforward, and any PDF viewer can handle PDF/A files.
What OCRmyPDF does
==================
## What OCRmyPDF does
OCRmyPDF analyzes each page of a PDF to determine the required colorspace
and resolution (DPI) for capturing all the information on that page without
losing content. It uses
`Ghostscript <http://ghostscript.com/>`__ to rasterize each page and subsequently
performs OCR on the rasterized image to generate an OCR "layer." This layer
is then integrated back into the original PDF.
losing content. It uses a PDF rasterizer (pypdfium2 or
[Ghostscript](http://ghostscript.com/)) to convert each page to an image and
subsequently performs OCR on the rasterized image to generate an OCR "layer."
This layer is then integrated back into the original PDF.
:::{versionchanged} 17.0.0
OCRmyPDF now supports pypdfium2 as an alternative rasterizer to Ghostscript.
pypdfium2 is a Python binding for pdfium, the PDF rendering library used by
Google Chrome. The `--rasterizer auto` setting (default) prefers pypdfium2
when available.
:::
While it is possible to use a program like Ghostscript or ImageMagick to
obtain an image and then run that image through Tesseract OCR, this process
@@ -101,10 +102,9 @@ options are utilized, the OCR layer is integrated into the processed image.
By default, OCRmyPDF generates archival PDFs in the PDF/A format, which is
a more rigid subset of PDF features designed for long-term archives. If you
prefer regular PDFs, you can disable this feature using the
``--output-type pdf`` option.
`--output-type pdf` option.
Why you shouldn't do this manually
==================================
## Why you shouldn't do this manually
A PDF is similar to an HTML file, in that it contains document structure
along with images. While some PDFs may solely display a full-page image,
@@ -142,55 +142,66 @@ like pikepdf and QPDF, it can auto-repair damaged PDFs. You don't need to
understand the intricacies of these issues; you should be able to use
OCRmyPDF with any PDF file, and expect reasonable results.
Limitations
===========
## Limitations
OCRmyPDF is subject to limitations imposed by the Tesseract OCR engine.
These limitations are inherent to any software relying on Tesseract:
- The OCR accuracy may not match that of commercial OCR solutions.
- It is incapable of recognizing handwriting.
- It may detect gibberish and report it as OCR output.
- Results may be subpar when a document contains languages not specified
in the ``-l LANG`` argument.
- Tesseract may struggle to analyze the natural reading order of documents.
For instance, it might fail to recognize two columns in a document and
attempt to join text across columns.
- Poor quality scans can result in subpar OCR quality. In other words, the
quality of the OCR output depends on the quality of the input.
- Tesseract does not provide information about the font family to which text
belongs.
- Tesseract does not divide text into paragraphs or headings. It only provides
the text and its bounding box. As such, the generated PDF does not
contain any information about the document's structure.
- The OCR accuracy may not match that of commercial OCR solutions.
- It is incapable of recognizing handwriting.
- It may detect gibberish and report it as OCR output.
- Results may be subpar when a document contains languages not specified
in the `-l LANG` argument.
- Tesseract may struggle to analyze the natural reading order of documents.
For instance, it might fail to recognize two columns in a document and
attempt to join text across columns.
- Poor quality scans can result in subpar OCR quality. In other words, the
quality of the OCR output depends on the quality of the input.
- Tesseract does not provide information about the font family to which text
belongs.
- Tesseract does not divide text into paragraphs or headings. It only provides
the text and its bounding box. As such, the generated PDF does not
contain any information about the document's structure.
Ghostscript also imposes some limitations:
### Ghostscript considerations
- PDFs containing JPEG 2000-encoded content may be converted to JPEG
encoding, which may introduce compression artifacts, if Ghostscript
PDF/A is enabled.
- Ghostscript may transcode grayscale and color images, potentially
lossily, based on an internal algorithm. This
behavior can be suppressed by setting ``--pdfa-image-compression`` to
``jpeg`` or ``lossless`` to set all images to one type or the other.
Ghostscript lacks an option to maintain the input image's format.
(Modern Ghostscript can copy JPEG images without transcoding them.)
- Ghostscript's PDF/A conversion removes any XMP metadata that is not
one of the standard XMP metadata namespaces for PDFs. In particular,
PRISM Metadata is removed.
- Ghostscript's PDF/A conversion may remove or deactivate
hyperlinks and other active content.
:::{versionchanged} 17.0.0
Ghostscript is no longer strictly required. OCRmyPDF can use pypdfium2
for rasterization and verapdf for PDF/A validation.
:::
You can use ``--output-type pdf`` to disable PDF/A conversion and produce
While Ghostscript remains a capable and feature-rich tool with a long history,
recent releases have introduced some compatibility challenges that OCRmyPDF
v17 addresses through alternative codepaths. When Ghostscript is used:
- PDFs containing JPEG 2000-encoded content may be converted to JPEG
encoding, which may introduce compression artifacts, if Ghostscript
PDF/A is enabled.
- Ghostscript may transcode grayscale and color images, potentially
lossily, based on an internal algorithm. This
behavior can be suppressed by setting `--pdfa-image-compression` to
`jpeg` or `lossless` to set all images to one type or the other.
Ghostscript lacks an option to maintain the input image's format.
(Modern Ghostscript can copy JPEG images without transcoding them.)
- Ghostscript's PDF/A conversion removes any XMP metadata that is not
one of the standard XMP metadata namespaces for PDFs. In particular,
PRISM Metadata is removed.
- Ghostscript's PDF/A conversion may remove or deactivate
hyperlinks and other active content.
When pypdfium2 and verapdf are available, many of these limitations can be
avoided by using the speculative PDF/A conversion path (enabled by default
with `--output-type auto`).
You can use `--output-type pdf` to disable PDF/A conversion and produce
a standard, non-archival PDF.
Regarding OCRmyPDF itself:
- PDFs using transparency are not currently represented in the test
suite
- PDFs using transparency are not currently represented in the test
suite
Similar programs
================
## Similar programs
To the author's knowledge, OCRmyPDF is the most feature-rich and
thoroughly tested command line OCR PDF conversion tool. If it does not
@@ -199,8 +210,7 @@ meet your needs, contributions and suggestions are welcome.
Ghostscript recently added three "pdfocr" output devices. They work by
rasterizing all content and converting all pages to a single colour space.
Web front-ends
==============
## Web front-ends
The Docker image of OCRmyPDF provides a web service front-end
that allows files to submitted over HTTP, and the results can be downloaded.
@@ -210,16 +220,14 @@ public internet and does not provide any security measures.
In addition, the following third-party integrations are available:
- `Paperless-ngx <https://docs.paperless-ngx.com/>`__ is a free software
document management system that uses OCRmyPDF to perform OCR on
uploaded documents.
- `Nextcloud OCR <https://github.com/janis91/ocr>`__ is a free software
plugin for the Nextcloud private cloud software.
- [Paperless-ngx](https://docs.paperless-ngx.com/) is a free software
document management system that uses OCRmyPDF to perform OCR on
uploaded documents.
- [Nextcloud OCR](https://github.com/janis91/ocr) is a free software
plugin for the Nextcloud private cloud software.
OCRmyPDF is not designed to be secure against malware-bearing PDFs (see
`Using OCRmyPDF online <ocr-service>`__). Users should ensure they
[Using OCRmyPDF online](ocr-service)). Users should ensure they
comply with OCRmyPDF's licenses and the licenses of all dependencies. In
particular, OCRmyPDF requires Ghostscript, which is licensed under
AGPLv3.
.. |image| image:: images/bitmap_vs_svg.svg
+63
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@@ -0,0 +1,63 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
{#jbig2}
# Installing the JBIG2 encoder
Most Linux distributions do not include a JBIG2 encoder since JBIG2
encoding was patented for a long time. All known JBIG2 US patents have
expired as of 2017, but it is possible that unknown patents exist.
JBIG2 encoding is recommended for OCRmyPDF and is used to losslessly
create smaller PDFs. If JBIG2 encoding is not available, lower quality
CCITT encoding will be used for monochrome images.
JBIG2 decoding is not patented and is performed automatically by most
PDF viewers. It is widely supported and has been part of the PDF
specification since 2001.
JBIG encoding is automatically provided by these OCRmyPDF packages: -
Docker image (both Ubuntu and Alpine) - Snap package - ArchLinux AUR
package - Alpine Linux package - Homebrew on macOS
For all other platforms, you would need to build the JBIG2 encoder from
source:
:::{code} bash
git clone https://github.com/agl/jbig2enc
cd jbig2enc
./autogen.sh
./configure && make
[sudo] make install
:::
Dependencies include libtoolize and libleptonica, which on Ubuntu
systems are packaged as libtool and libleptonica-dev. On Fedora (35)
they are packaged as libtool and leptonica-devel. For this to work,
please make sure to install `autotools`, `automake`, `libtool`, `pkg-config`
and `leptonica` first if not already installed. Other dependencies might
be required depending on your system.
:::{code} bash
[sudo] apt install autotools-dev automake libtool libleptonica-dev pkg-config
:::
## JBIG2 Compression
OCRmyPDF uses JBIG2 lossless compression for bitonal (black and white)
images. This provides excellent compression ratios compared to the older
CCITT G4 standard, while preserving the exact pixel content of the
original image.
You can adjust the threshold for JBIG2 compression with
`--jbig2-threshold`. The default is 0.85.
:::{note}
Previous versions of OCRmyPDF supported a lossy JBIG2 mode
(`--jbig2-lossy`). This feature has been removed due to the well-known
risk of character substitution errors (e.g., 6/8 confusion). See
[JBIG2 disadvantages](https://en.wikipedia.org/wiki/JBIG2#Disadvantages)
for more information on why lossy JBIG2 is problematic. The `--jbig2-lossy`
and `--jbig2-page-group-size` arguments are now ignored with a warning.
:::
-83
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@@ -1,83 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
.. _jbig2:
============================
Installing the JBIG2 encoder
============================
Most Linux distributions do not include a JBIG2 encoder since JBIG2
encoding was patented for a long time. All known JBIG2 US patents have
expired as of 2017, but it is possible that unknown patents exist.
JBIG2 encoding is recommended for OCRmyPDF and is used to losslessly
create smaller PDFs. If JBIG2 encoding is not available, lower quality
CCITT encoding will be used for monochrome images.
JBIG2 decoding is not patented and is performed automatically by most
PDF viewers. It is widely supported and has been part of the PDF
specification since 2001.
JBIG encoding is automatically provided by these OCRmyPDF packages:
- Docker image (both Ubuntu and Alpine)
- Snap package
- ArchLinux AUR package
- Alpine Linux package
- Homebrew on macOS
For all other platforms, you would need to build the JBIG2 encoder from source:
.. code-block:: bash
git clone https://github.com/agl/jbig2enc
cd jbig2enc
./autogen.sh
./configure && make
[sudo] make install
.. _jbig2-lossy:
Dependencies include libtoolize and libleptonica, which on Ubuntu systems
are packaged as libtool and libleptonica-dev. On Fedora (35) they are packaged
as libtool and leptonica-devel. For this to work, please make sure to install
``autotools``, ``automake``, ``libtool`` and ``leptonica`` first if not already
installed.
.. code-block:: bash
[sudo] apt install autotools-dev automake libtool libleptonica-dev
..
Lossy mode JBIG2
================
OCRmyPDF provides lossy mode JBIG2 as an advanced and potentially dangerous
feature. Users should
`review the technical concerns with JBIG2 in lossy
mode <https://en.wikipedia.org/wiki/JBIG2#Disadvantages>`__
and decide if this feature is acceptable for their use case. In general,
this mode should not be used for archival purposes, should not be used when
the original document is not available or will be destroyed, and should
not be used when numbers present in the document are important, because
there is a risk of 6/8 and 8/6 substitution errors.
JBIG2 lossy mode does achieve higher compression ratios than any other
monochrome (bitonal) compression technology; for large text documents
the savings are considerable. JBIG2 lossless still gives great
compression ratios and is a major improvement over the older CCITT G4
standard.
To turn on JBIG2 lossy mode, add the argument ``--jbig2-lossy``.
``--optimize {1,2,3}`` are necessary for the argument to take effect
also required. Also, a JBIG2 encoder must be installed as described in
the previous section.
You can adjust the threshold for JBIG2 compression with the
``--jbig2-threshold``. The default is 0.85, meaning that if two symbols
are 85% similar, they will be compressed together.
*Due to an oversight, ocrmypdf v7.0 and v7.1 used lossy mode by
default.*
+129
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@@ -0,0 +1,129 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
(lang-packs)=
# Installing additional language packs
OCRmyPDF uses Tesseract for OCR, and relies on its language packs for all languages.
On most platforms, English is installed with Tesseract by default, but not always.
Tesseract supports [most
languages](https://github.com/tesseract-ocr/tesseract/blob/main/doc/tesseract.1.asc#languages).
Languages are identified by standardized three-letter codes (called ISO 639-2 Alpha-3).
Tesseract's documentation also lists the three-letter code for your language.
Some are anglicized, e.g. Spanish is `spa` rather than `esp`, while others
are not, e.g. German is `deu` and French is `fra`.
Language packs (strictly speaking, Tesseract "traineddata" files) generally correspond
to the language in question, but different language packs are used in certain
situations. For German, the "Fraktur" language pack can assist with reading older
materials in the Fraktur typeface family (`deu_frak`). Some communities have changed
their script from Cyrillic to Latin; the Cyrillic version of Uzbek is available
as `uzb_cyrl` and the Latin version is `uzb`.
After you have installed a language pack, you can use it with `ocrmypdf -l <language>`,
for example `ocrmypdf -l spa`. For multilingual documents, you can specify
all languages to be expected, e.g. `ocrmypdf -l eng+fra` for English and French.
English is assumed by default unless other language(s) are specified.
For Linux users, you can often find packages that provide language
packs.
## Platform install steps
### Debian and Ubuntu (apt)
```bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Install Chinese Simplified language pack
apt-get install tesseract-ocr-chi-sim
```
You can then pass the `-l LANG` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either `-l eng+fra` (English and French) or
`-l eng -l fra`.
### Fedora
```bash
# Display a list of all Tesseract language packs
dnf search tesseract
# Install Chinese Simplified language pack
dnf install tesseract-langpack-chi_sim
```
You can then pass the `-l LANG` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either `-l eng+fra` (English and French) or
`-l eng -l fra`.
### Arch Linux
```bash
# Display a list of all Tesseract language packs
pacman -Ss tesseract-data
# Install German language pack
pacman -S tesseract-data-deu
```
You can then pass the `-l LANG` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either `-l eng+fra` (English and French) or
`-l eng -l fra`.
### Gentoo
On Gentoo the package `app-text/tessdata_fast`, which `app-text/tesseract` depends on, handles Tesseract languages.
It accepts USE flags to select what languages should be installed, these can be set in `/etc/portage/package.use`.
Alternatively one can globally set the [L10N use extension](https://wiki.gentoo.org/wiki/Localization/Guide#L10N) in `/etc/portage/make.conf`.
This enables these languages for all packages (e.g. including aspell).
```bash
# Display a list of all Tesseract language packs
equery uses app-text/tessdata_fast
# Add English and German language support for Tesseract only
echo 'app-text/tessdata_fast l10n_de l10n_en' >> /etc/portage/package.use
# Add global English and German language support (the `l10n_` from equery has to be omitted)
echo L10N="de en" >> /etc/portage/make.conf
# update system to reflect changed USE flags
emerge --update --deep --newuse @world
```
You can then pass the `-l LANG` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either `-l eng+fra` (English and French) or
`-l eng -l fra`.
### macOS
You can install additional language packs by
{ref}`installing Tesseract using Homebrew with all language packs <macos-all-languages>`.
### Docker
Users of the OCRmyPDF Docker image should install language packs into a
derived Docker image as
{ref}`described in that section <docker-lang-packs>`.
### Windows
The Tesseract installer provided by Chocolatey currently includes only English language.
To install other languages, download the respective language pack (`.traineddata` file)
from <https://github.com/tesseract-ocr/tessdata/> and place it in
`C:\\Program Files\\Tesseract-OCR\\tessdata` (or wherever Tesseract OCR is installed).
## Custom language packs
If you have fine-tuned or trained Tesseract and generated custom trained data, you can
copy your `customlang.traineddata` file into your Tesseract "tessdata" folder, and
then use the `-l customlang` argument to tell OCRmyPDF to pass that language on to
Tesseract.
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@@ -1,125 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
.. _lang-packs:
====================================
Installing additional language packs
====================================
OCRmyPDF uses Tesseract for OCR, and relies on its language packs for all languages.
On most platforms, English is installed with Tesseract by default, but not always.
Tesseract supports `most
languages <https://github.com/tesseract-ocr/tesseract/blob/main/doc/tesseract.1.asc#languages>`__.
Languages are identified by standardized three-letter codes (called ISO 639-2 Alpha-3).
Tesseract's documentation also lists the three-letter code for your language.
Some are anglicized, e.g. Spanish is ``spa`` rather than ``esp``, while others
are not, e.g. German is ``deu`` and French is ``fra``.
Language packs (strictly speaking, Tesseract "traineddata" files) generally correspond
to the language in question, but different language packs are used in certain
situations. For German, the "Fraktur" language pack can assist with reading older
materials in the Fraktur typeface family (``deu_frak``). Some communities have changed
their script from Cyrillic to Latin; the Cyrillic version of Uzbek is available
as ``uzb_cyrl`` and the Latin version is ``uzb``.
After you have installed a language pack, you can use it with ``ocrmypdf -l <language>``,
for example ``ocrmypdf -l spa``. For multilingual documents, you can specify
all languages to be expected, e.g. ``ocrmypdf -l eng+fra`` for English and French.
English is assumed by default unless other language(s) are specified.
For Linux users, you can often find packages that provide language
packs.
Platform install steps
======================
Debian and Ubuntu (apt)
-----------------------
.. code-block:: bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Install Chinese Simplified language pack
apt-get install tesseract-ocr-chi-sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either ``-l eng+fra`` (English and French) or
``-l eng -l fra``.
Fedora
------
.. code-block:: bash
# Display a list of all Tesseract language packs
dnf search tesseract
# Install Chinese Simplified language pack
dnf install tesseract-langpack-chi_sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either ``-l eng+fra`` (English and French) or
``-l eng -l fra``.
Gentoo
------
On Gentoo the package ``app-text/tessdata_fast``, which ``app-text/tesseract`` depends on, handles Tesseract languages.
It accepts USE flags to select what languages should be installed, these can be set in ``/etc/portage/package.use``.
Alternatively one can globally set the `L10N use extension <https://wiki.gentoo.org/wiki/Localization/Guide#L10N>`__ in ``/etc/portage/make.conf``.
This enables these languages for all packages (e.g. including aspell).
.. code-block:: bash
# Display a list of all Tesseract language packs
equery uses app-text/tessdata_fast
# Add English and German language support for Tesseract only
echo 'app-text/tessdata_fast l10n_de l10n_en' >> /etc/portage/package.use
# Add global English and German language support (the `l10n_` from equery has to be omitted)
echo L10N="de en" >> /etc/portage/make.conf
# update system to reflect changed USE flags
emerge --update --deep --newuse @world
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either ``-l eng+fra`` (English and French) or
``-l eng -l fra``.
macOS
-----
You can install additional language packs by
:ref:`installing Tesseract using Homebrew with all language packs <macos-all-languages>`.
Docker
------
Users of the OCRmyPDF Docker image should install language packs into a
derived Docker image as
:ref:`described in that section <docker-lang-packs>`.
Windows
-------
The Tesseract installer provided by Chocolatey currently includes only English language.
To install other languages, download the respective language pack (``.traineddata`` file)
from https://github.com/tesseract-ocr/tessdata/ and place it in
``C:\\Program Files\\Tesseract-OCR\\tessdata`` (or wherever Tesseract OCR is installed).
Custom language packs
=====================
If you have fine-tuned or trained Tesseract and generated custom trained data, you can
copy your ``customlang.traineddata`` file into your Tesseract "tessdata" folder, and
then use the ``-l customlang`` argument to tell OCRmyPDF to pass that language on to
Tesseract.
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@@ -0,0 +1,179 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Maintainer notes
This is for those who package OCRmyPDF for downstream use. (Thank you
for your hard work.)
## Known ports/packagers
OCRmyPDF has been ported to many platforms already. If you are
interesting in porting to a new platform, check with
[Repology](https://repology.org/projects/?search=ocrmypdf) to see the
status of that platform.
### Make sure you can package pikepdf
pikepdf, created by the same author, is a mixed Python and C++14 package
with much stiffer build requirements. If you want to use OCRmyPDF on
some novel platform or distribution, first make sure you can package
pikepdf.
### Core dependencies
:::{versionchanged} 17.0.0
Ghostscript is no longer strictly required. OCRmyPDF now supports alternative
codepaths for both PDF rasterization and PDF/A conversion.
:::
OCRmyPDF has the following runtime dependencies:
**For PDF rasterization** (converting PDF pages to images for OCR):
- `pypdfium2` (Python package) - OR -
- `ghostscript` (system binary)
- Recommendation: Install both for best compatibility
**For PDF/A conversion**:
- `verapdf` (system binary) with pikepdf's speculative conversion - OR -
- `ghostscript` (system binary)
- Recommendation: Install both for best compatibility
**For OCR**:
- `tesseract-ocr` (system binary) - Required for MVP
**For text rendering** (expressing OCR results in PDF):
- `fpdf2` (Python package) - Required for text layer rendering
- `uharfbuzz` (Python package) - Required for text layer rendering
- `font-noto` (system package) - Recommended for text layer rendering
**Other dependencies**:
- `unpaper` (system binary) - Optional, enables `--clean` and `--clean-final`
- `pngquant` (system binary) - Optional, enables `--optimize 2` and `--optimize 3`
- `jbig2enc` (system binary) - Optional, improves compression of monochrome images
While Ghostscript remains a capable and feature-rich tool with a long history,
recent releases have introduced some compatibility challenges that OCRmyPDF v17
addresses through alternative codepaths. For the best user experience, packagers
should install both Ghostscript and the alternative tools (pypdfium2, verapdf)
when available.
On Windows, OCRmyPDF will also check the registry for Tesseract and Ghostscript
locations.
Tesseract OCR relies on SIMD for performance and only has proper support
for this on ARM and x86\_64. Performance may be poor on other processor
architectures.
### Versioning scheme
OCRmyPDF uses hatch-vcs for versioning, which derives the version from
Git as a single source of truth. This may be unsuitable for some
distributions, e.g. to indicate that your distribution modifies OCRmyPDF
in some way.
You can patch the `__version__` variable in `src/ocrmypdf/_version.py`
if necessary, or set the environment variable
`SETUPTOOLS_SCM_PRETEND_VERSION` to the required version, if you need to
override versioning for some reason.
### jbig2enc
OCRmyPDF will use jbig2enc, a JBIG2 encoder, if one can be found. Some
distributions have shied away from packaging JBIG2 because it contains
patented algorithms, but all patents have expired since 2017. If
possible, consider packaging it too to improve OCRmyPDF's compression.
:::{note}
Lossy JBIG2 encoding has been removed in v17.0.0 due to well-documented
risks of character substitution errors. Previously we provided this feature
on a "caveat emptor" basis but in the interest of focusing and eliminating
risks, we decided to remove this option. Now, only lossless JBIG2 compression
is supported.
:::
### Dependency matrix for packagers
:::{versionadded} 17.0.0
:::
The following table summarizes the dependency options introduced in v17.0.0:
| Feature | Option 1 | Option 2 | Notes |
|---------|----------|----------|-------|
| PDF rasterization | pypdfium2 (Python) | ghostscript (binary) | pypdfium2 preferred when available |
| PDF/A conversion | verapdf + pikepdf | ghostscript | verapdf validates speculative conversion |
| Text rendering | fpdf2 (Python) | - | Required, replaces legacy hOCR renderer |
| OCR | tesseract-ocr | `--ocr-engine none` | Can be skipped entirely |
**Minimum viable installation:**
- tesseract-ocr + (pypdfium2 OR ghostscript) + fpdf2
**Recommended installation:**
- tesseract-ocr + pypdfium2 + ghostscript + verapdf + fpdf2 + unpaper + pngquant + jbig2enc
:::{warning}
If Ghostscript is not installed and verapdf is not available, PDF/A output
cannot be produced. The output will be a standard PDF instead. This is a
breaking change for rare configurations that previously relied on PDF/A
output without Ghostscript alternatives.
:::
**Sample debian/control dependency specification**
```
Depends:
fonts-noto,
fpdf2 (>= 2.8),
ghostscript (>= 9.55), # Not strictly required, but best user experience
icc-profiles-free,
img2pdf,
python3-coloredlogs,
python3-deprecation,
python3-pdfminer (>= 20181108+dfsg-3),
python3-pikepdf (>= 8.14.0),
python3-pil,
python3-pluggy,
python3-reportlab,
python3-rich,
python3-uharfbuzz, # Not currently in Debian
tesseract-ocr (>= 5.0.0),
zlib1g,
${misc:Depends},
${python3:Depends},
Recommends:
cyclopts, # Not currently in Debian
jbig2
paddleocr, # Not currently in Debian
pngquant,
pypdfium2, # Not currently in Debian
unpaper,
verapdf, # Not currently in Debian
Suggests:
ocrmypdf-doc,
python-watchdog,
```
### Command line completions
Please ensure that command line completions are installed, as described
in the installation documentation.
### 32-bit Linux support
If you maintain a Linux distribution that supports 32-bit x86 or ARM,
OCRmyPDF should continue to work as long as all of its dependencies
continue to be available in 32-bit form. Please note we do not test on
32-bit platforms.
### HEIF/HEIC
OCRmyPDF defaults to installing the pi-heif PyPI package, which supports
converting HEIF (High Efficiency Image File Format) images to PDF from
the command line. If your distribution does not have this library
available, you can exclude it and OCRmyPDF will gracefully degrade
automatically, losing only support for this feature.
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
================
Maintainer notes
================
This is for those who package OCRmyPDF for downstream use. (Thank you
for your hard work.)
Known ports/packagers
=====================
OCRmyPDF has been ported to many platforms already. If you are interesting in
porting to a new platform, check with
`Repology <https://repology.org/projects/?search=ocrmypdf>`__ to see the status
of that platform.
Make sure you can package pikepdf
---------------------------------
pikepdf, created by the same author, is a mixed Python and C++14 package with
much stiffer build requirements. If you want to use OCRmyPDF on some novel platform
or distribution, first make sure you can package pikepdf.
Non-Python dependencies
-----------------------
Note that we have non-Python dependencies. In particular, OCRmyPDF requires
Ghostscript and Tesseract OCR to be installed and needs to be able to locate their
binaries on the system PATH. On Windows, OCRmyPDF will also check the registry
for their locations.
Tesseract OCR relies on SIMD for performance and only has proper support for this
on ARM and x86_64. Performance may be poor on other processor architectures.
Versioning scheme
-----------------
OCRmyPDF uses setuptools-scm for versioning, which derives the version from
Git as a single source of truth. This may be unsuitable for some distributions, e.g.
to indicate that your distribution modifies OCRmyPDF in some way.
You can patch the ``__version__`` variable in ``src/ocrmypdf/_version.py`` if
necessary.
jbig2enc
--------
OCRmyPDF will use jbig2enc, a JBIG2 encoder, if one can be found. Some distributions
have shied away from packaging JBIG2 because it contains patented algorithms, but
all patents have expired since 2017. If possible, consider packaging it too to
improve OCRmyPDF's compression.
Command line completions
------------------------
Please ensure that command line completions are installed, as described in the
installation documentation.
32-bit Linux support
--------------------
If you maintain a Linux distribution that supports 32-bit x86 or ARM, OCRmyPDF
should continue to work as long as all of its dependencies continue to be
available in 32-bit form. Please note we do not test on 32-bit platforms.
+104
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@@ -0,0 +1,104 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# PDF optimization
OCRmyPDF includes an image-oriented PDF optimizer. By default, the
optimizer runs with safe settings with the goal of improving compression
at no loss of quality. At higher optimization levels, lossy
optimizations may be applied and tuned. Optimization occurs after OCR,
and only if OCR succeeded. It does not perform other possible
optimizations such as deduplicating resources, consolidating fonts,
simplifying vector drawings, or anything of that nature.
:::{list-table} OCRmyPDF optimization settings
---
widths: 33 6 60
header-rows: 1
---
* - Optimization level
- Shorthand
- Description
* - ``--optimize 0``
- ``-O0``
- Disable most optimizations.
* - ``--optimize 1`` (default)
- ``-O1``
- Enables lossless optimizations, such as transcoding images to more
efficient formats. Also compress other uncompressed objects in the
PDF and enables the more efficient "object streams" within the PDF.
* - ``--optimize 2``
- ``-O2``
- All of the above, and enables lossy optimizations and color quantization.
* - ``--optimize 3``
- ``-O3``
- All of the above, and enables more aggressive optimizations and targets lower
image quality.
:::
The exact type of optimizations performed will vary over time, and
depend on what third party tools are installed.
Despite optimizations, OCRmyPDF might still increase the overall file
size, since it must embed information about the recognized text, and
depending on the settings chosen, may not be able to represent the
output file as compactly as the input file.
## Optimizations that always occurs
OCRmyPDF will automatically replace obsolete or inferior compression
schemes such as RLE or LZW with superior schemes such as Deflate, and
convert monochrome images to CCITT G4. Since this is lossless, it always
occurs and there is no way to disable it. Other non-image compressed
objects are compressed as well.
## Fast web view
OCRmyPDF automatically optimizes PDFs for \"fast web view\" in Adobe
Acrobat\'s parlance, or equivalently, linearizes PDFs so that the
resources they reference are presented in the order a viewer needs them
for sequential display. This reduces the latency of viewing a PDF both
online and from local storage, in exchange for a slight increase in file
size.
To disable this optimization and all others, use
`ocrmypdf --optimize 0 ...` or the shorthand `-O0`.
Adobe Acrobat might not report the file as being \"fast web view\".
## Lossless optimizations
At optimization level `-O1` (the default), OCRmyPDF will also attempt
lossless image optimization.
If a JBIG2 encoder is available, then monochrome images will be
converted to JBIG2, with the potential for huge savings on large black
and white images, since JBIG2 is far more efficient than any other
monochrome (bi-level) compression. (All known US patents related to
JBIG2 have probably expired, but it remains the responsibility of the
user to supply a JBIG2 encoder such as
[jbig2enc](https://github.com/agl/jbig2enc). OCRmyPDF does not implement
JBIG2 encoding on its own.)
OCRmyPDF currently does not attempt to recompress losslessly compressed
objects more aggressively.
## Lossy optimizations
At optimization level `-O1`, `-O2` and `-O3`, OCRmyPDF will some attempt
loss image optimization.
If Ghostscript is used to create a PDF/A (the default), Ghostscript will
optimize some images by converting them to JPEG, which are lossy. If
`--output-type pdf` is used, there are no lossy optimizations. Ghostscript's
JPEG conversion is quite safe.
If `pngquant` is installed, OCRmyPDF will use it to perform quantize
paletted images to reduce their size.
The quality of JPEGs may be lowered, on the assumption that a lower
quality image may be suitable for storage after OCR.
It is not possible to optimize all image types. Uncommon image types may
be skipped by the optimizer.
-100
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@@ -1,100 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
================
PDF optimization
================
OCRmyPDF includes an image-oriented PDF optimizer. By default, the optimizer
runs with safe settings with the goal of improving compression at no loss of
quality. At higher optimization levels, lossy optimizations may be applied and
tuned. Optimization occurs after OCR, and only if OCR succeeded. It does not
perform other possible optimizations such as deduplicating resources,
consolidating fonts, simplifying vector drawings, or anything of that nature.
.. list-table:: Title
:widths: 33 6 60
:header-rows: 1
* - Optimization level
- Shorthand
- Description
* - ``--optimize 0``
- ``-O0``
- Disable most optimizations.
* - ``--optimize 1`` (default)
- ``-O1``
- Safe and lossless optimizations.
* - ``--optimize 2``
- ``-O2``
- Safe and lossy optimizations.
* - ``--optimize 3``
- ``-O3``
- Aggressive lossy optimizations.
The exact type of optimizations performed will vary over time, and depend on
the availability of third-party tools.
Despite optimizations, OCRmyPDF might still increase the overall file size,
since it must embed information about the recognized text, and depending on the
settings chosen, may not be able to represent the output file as compactly as
the input file.
Optimizations that always occurs
================================
OCRmyPDF will automatically replace obsolete or inferior compression schemes
such as RLE or LZW with superior schemes such as Deflate, and convert
monochrome images to CCITT G4. Since this is lossless, it always occurs and there
is no way to disable it. Other non-image compressed objects are compressed as
well.
Fast web view
=============
OCRmyPDF automatically optimizes PDFs for "fast web view" in Adobe Acrobat's
parlance, or equivalently, linearizes PDFs so that the resources they reference
are presented in the order a viewer needs them for sequential display. This
reduces the latency of viewing a PDF both online and from local storage, in
exchange for a slight increase in file size.
To disable this optimization and all others, use ``ocrmypdf --optimize 0 ...``
or the shorthand ``-O0``.
Adobe Acrobat might not report the file as being "fast web view".
Lossless optimizations
======================
At optimization level ``-O1`` (the default), OCRmyPDF will also attempt lossless
image optimization.
If a JBIG2 encoder is available, then monochrome images will be converted to
JBIG2, with the potential for huge savings on large black and white images,
since JBIG2 is far more efficient than any other monochrome (bi-level)
compression. (All known US patents related to JBIG2 have probably expired, but
it remains the responsibility of the user to supply a JBIG2 encoder such as
`jbig2enc <https://github.com/agl/jbig2enc>`__. OCRmyPDF does not implement
JBIG2 encoding on its own.)
OCRmyPDF currently does not attempt to recompress losslessly compressed objects
more aggressively.
Lossy optimizations
===================
At optimization level ``-O2`` and ``-O3``, OCRmyPDF will some attempt lossy
image optimization.
If ``pngquant`` is installed, OCRmyPDF will use it to perform quantize paletted
images to reduce their size.
The quality of JPEGs may be lowered, on the assumption that a lower quality
image may be suitable for storage after OCR.
It is not possible to optimize all image types. Uncommon image types may be
skipped by the optimizer.
OCRmyPDF provides :ref:`lossy mode JBIG2 <jbig2-lossy>` as an advanced feature
that additional requires the argument ``--jbig2-lossy``.
+47 -57
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@@ -1,13 +1,9 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
(security)=
===================
PDF security issues
===================
# PDF security issues
OCRmyPDF should only be used on PDFs you trust. It is not designed to
protect you against malware.
> OCRmyPDF should only be used on PDFs you trust. It is not designed to
> protect you against malware.
Recognizing that many users have an interest in handling PDFs and
applying OCR to PDFs they did not generate themselves, this article
@@ -16,89 +12,84 @@ themselves.
The disclaimer applies: this software has no warranties of any kind.
PDFs may contain malware
========================
## PDFs may contain malware
PDF is a rich, complex file format. The official PDF 1.7 specification,
ISO 32000:2008, is hundreds of pages long and references several annexes
each of which are similar in length. PDFs can contain video, audio, XML,
JavaScript and other programming, and forms. In some cases, they can
open internet connections to pre-selected URLs. All of these are possible
attack vectors.
open internet connections to pre-selected URLs. All of these are
possible attack vectors.
In short, PDFs `may contain
viruses <https://security.stackexchange.com/questions/64052/can-a-pdf-file-contain-a-virus>`__.
In short, PDFs [may contain
viruses](https://security.stackexchange.com/questions/64052/can-a-pdf-file-contain-a-virus).
If you do not trust a PDF or its source, do not open it or use OCRmyPDF
on it. Consider using a Docker container or virtual machine to isolate
an untrusted PDF from your system.
How OCRmyPDF processes PDFs
===========================
## How OCRmyPDF processes PDFs
OCRmyPDF must open and interpret your PDF in order to insert an OCR
layer. First, it runs all PDFs through
`pikepdf <https://github.com/pikepdf/pikepdf>`__, a library based on
`QPDF <https://github.com/qpdf/qpdf>`__, a program that repairs PDFs
with syntax errors. This is done because, in the author's experience, a
[pikepdf](https://github.com/pikepdf/pikepdf), a library based on
[QPDF](https://github.com/qpdf/qpdf), a program that repairs PDFs with
syntax errors. This is done because, in the author\'s experience, a
significant number of PDFs in the wild, especially those created by
scanners, are not well-formed files. QPDF makes it more likely that
OCRmyPDF will succeed, but offers no security guarantees. QPDF is also
used to split the PDF into single page PDFs.
Finally, OCRmyPDF rasterizes each page of the PDF using
`Ghostscript <http://ghostscript.com/>`__ in ``-dSAFER`` mode.
[Ghostscript](http://ghostscript.com/) in `-dSAFER` mode.
Depending on the options specified, OCRmyPDF may graft the OCR layer
into the existing PDF or it may essentially reconstruct ("re-fry") a
into the existing PDF or it may essentially reconstruct (\"re-fry\") a
visually identical PDF that may be quite different at the binary level.
That said, OCRmyPDF is not a tool designed for sanitizing PDFs.
Password protected PDFs
=======================
## Password protected PDFs
Password protected PDFs usually have two passwords, and owner and user
password. When the user password is set to empty, PDF readers will open
the file automatically and mark it as "(SECURED)". Password security can
also request certain restrictions on the PDF, but anyone can remove these
restrictions if they have either the owner *or* user password. Passwords
mainly present a barrier for casual users.
the file automatically and mark it as \"(SECURED)\". Password security
can also request certain restrictions on the PDF, but anyone can remove
these restrictions if they have either the owner *or* user password.
Passwords mainly present a barrier for casual users.
OCRmyPDF cannot remove passwords from PDFs. If you want to remove a
password from a PDF, you must use other software, such as ``qpdf``.
password from a PDF, you must use other software, such as `qpdf`.
If the owner and user password are set, a
password is required for ``qpdf``. If only the owner password is set, then the
password can be stripped, even if one does not have the owner password. To
remove the password from a using QPDF, use:
If the owner and user password are set, a password is required for
`qpdf`. If only the owner password is set, then the password can be
stripped, even if one does not have the owner password. To remove the
password from a using QPDF, use:
.. code-block:: bash
qpdf --decrypt --password='abc123' input.pdf no_password.pdf
:::{code} bash
qpdf --decrypt --password='abc123' input.pdf no_password.pdf
:::
Then you can run OCRmyPDF on the file.
In its default mode, OCRmyPDF generates PDF/A. Passwords may not be set on PDF/A
documents. If you want to set a password on the output PDF, you must
specify ``--output-type pdf``.
In its default mode, OCRmyPDF generates PDF/A. Passwords may not be set
on PDF/A documents. If you want to set a password on the output PDF, you
must specify `--output-type pdf`.
Signature images
================
## Signature images
Many programs exist which are capable of inserting an image of someone's
signature. On its own, this offers no security guarantees. It is trivial
to remove the signature image and apply it to other files. This practice
offers no real security.
Many programs exist which are capable of inserting an image of
someone\'s signature. On its own, this offers no security guarantees. It
is trivial to remove the signature image and apply it to other files.
This practice offers no real security.
Digital signatures
==================
## Digital signatures
Important documents can be digitally signed and certified to attest to
their authorship, approval or execution of a legal agreement. OCRmyPDF
will detect signed PDFs and will not modify them, unless the
``--invalidate-digital-signatures`` option is used, which will
invalidate any signatures. (The signature may still be present in the PDF
if opened, but PDF readers will not validate it.)
`--invalidate-digital-signatures` option is used, which will invalidate
any signatures. (The signature may still be present in the PDF if
opened, but PDF readers will not validate it.)
A digital signature adds a cryptographic hash of the document to the
document, so tamper protection is provided. That also precludes OCRmyPDF
@@ -106,20 +97,19 @@ from modifying the document and preserving the signature.
Digital signatures are not the same as a signature image. A digital
signature is a cryptographic hash of the document that is encrypted with
the author's private key. The signature is decrypted with the author's
the author\'s private key. The signature is decrypted with the author\'s
public key. The public key is usually distributed by a certificate
authority. The signature is then verified by the PDF reader. If the
document is modified, the signature will be invalidated.
Certificate-encrypted PDFs
==========================
## Certificate-encrypted PDFs
PDFs can be encrypted with a certificate. This is a more secure form of
encryption than a password. The certificate is usually issued by a
certificate authority. A certificate is used to encrypt the document using
the public key for the benefit of a specific recipient who possesses
the private key.
certificate authority. A certificate is used to encrypt the document
using the public key for the benefit of a specific recipient who
possesses the private key.
OCRmyPDF cannot open certificate-encrypted PDFs. If you have the
certificate, you can use other PDF software, such as Acrobat, to
decrypt the PDF.
certificate, you can use other PDF software, such as Acrobat, to decrypt
the PDF.
+24
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@@ -0,0 +1,24 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Performance
Some users have noticed that current versions of OCRmyPDF do not run as
quickly as some older versions (specifically 6.x and older). This is
because OCRmyPDF added image optimization as a postprocessing step, and
it is enabled by default.
## Speed
If running OCRmyPDF quickly is your main goal, you can use settings such
as:
- `--optimize 0` to disable file size optimization
- `--output-type pdf` to disable PDF/A generation
- `--fast-web-view 999999` to disable fast web view optimization
- `--skip-big` to skip large images, if some pages have large images
You can also avoid:
- `--force-ocr`
- Image preprocessing
-26
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@@ -1,26 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
===========
Performance
===========
Some users have noticed that current versions of OCRmyPDF do not run as quickly
as some older versions (specifically 6.x and older). This is because OCRmyPDF
added image optimization as a postprocessing step, and it is enabled by default.
Speed
=====
If running OCRmyPDF quickly is your main goal, you can use settings such as:
* ``--optimize 0`` to disable file size optimization
* ``--output-type pdf`` to disable PDF/A generation
* ``--fast-web-view 999999`` to disable fast web view optimization
* ``--skip-big`` to skip large images, if some pages have large images
You can also avoid:
* ``--force-ocr``
* Image preprocessing
+416
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@@ -0,0 +1,416 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# Plugins
> The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL
> NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and
> "OPTIONAL" in this document are to be interpreted as described in
> RFC 2119.
You can use plugins to customize the behavior of OCRmyPDF at certain points of
interest.
Currently, it is possible to:
- add new command line arguments
- override the decision for whether or not to perform OCR on a particular file
- modify the image is about to be sent for OCR
- modify the page image before it is converted to PDF
- replace the Tesseract OCR with another OCR engine that has similar behavior
- replace Ghostscript with another PDF to image converter (rasterizer) or
PDF/A generator
OCRmyPDF plugins are based on the Python `pluggy` package and conform to its
conventions. Note that: plugins installed with as setuptools entrypoints are
not checked currently, because OCRmyPDF assumes you may not want to enable
plugins for all files.
See \[OCRmyPDF-EasyOCR\](<https://github.com/ocrmypdf/OCRmyPDF-EasyOCR>) for an
example of a straightforward, fully working plugin.
## Script plugins
Script plugins may be called from the command line, by specifying the name of a file.
Script plugins may be convenient for informal or "one-off" plugins, when a certain
batch of files needs a special processing step for example.
```bash
ocrmypdf --plugin ocrmypdf_example_plugin.py input.pdf output.pdf
```
Multiple plugins may be installed by issuing the `--plugin` argument multiple times.
## Packaged plugins
Installed plugins may be installed into the same virtual environment as OCRmyPDF
is installed into. They may be invoked using Python standard module naming.
If you are intending to distribute a plugin, please package it.
```bash
ocrmypdf --plugin ocrmypdf_fancypants.pockets.contents input.pdf output.pdf
```
OCRmyPDF does not automatically import plugins, because the assumption is that
plugins affect different files differently and you may not want them activated
all the time. The command line or `ocrmypdf.ocr(plugin='...')` must call
for them.
Third parties that wish to distribute packages for ocrmypdf should package them
as packaged plugins, and these modules should begin with the name `ocrmypdf_`
similar to `pytest` packages such as `pytest-cov` (the package) and
`pytest_cov` (the module).
:::{note}
We recommend plugin authors name their plugins with the prefix
`ocrmypdf-` (for the package name on PyPI) and `ocrmypdf_` (for the
module), just like pytest plugins. At the same time, please make it clear
that your package is not official.
:::
## Plugins
You can also create a plugin that OCRmyPDF will always automatically load if both are
installed in the same virtual environment, using a project entrypoint.
OCRmyPDF uses the entrypoint namespace "ocrmypdf".
For example, `pyproject.toml` would need to contain the following, for a plugin named
`ocrmypdf-exampleplugin`:
```toml
[project]
name = "ocrmypdf-exampleplugin"
[project.entry-points."ocrmypdf"]
exampleplugin = "exampleplugin.pluginmodule"
```
## Plugin requirements
OCRmyPDF generally uses multiple worker processes. When a new worker is started,
Python will import all plugins again, including all plugins that were imported earlier.
This means that the global state of a plugin in one worker will not be shared with
other workers. As such, plugin hook implementations should be stateless, relying
only on their inputs. Hook implementations may use their input parameters to
to obtain a reference to shared state prepared by another hook implementation.
Plugins must expect that other instances of the plugin will be running
simultaneously.
The `context` object that is passed to many hooks can be used to share information
about a file being worked on. Plugins must write private, plugin-specific data to
a subfolder named `{options.work_folder}/ocrmypdf-plugin-name`. Plugins MAY
read and write files in `options.work_folder`, but should be aware that their
semantics are subject to change.
OCRmyPDF will delete `options.work_folder` when it has finished OCRing
a file, unless invoked with `--keep-temporary-files`.
The documentation for some plugin hooks contain a detailed description of the
execution context in which they will be called.
Plugins should be prepared to work whether executed in worker threads or worker
processes. Generally, OCRmyPDF uses processes, but has a semi-hidden threaded
argument that simplifies debugging.
## Plugin hooks
A plugin may provide the following hooks. Hooks must be decorated with
`ocrmypdf.hookimpl`, for example:
```python
from ocrmypdf import hookimpl
@hookimpl
def add_options(parser):
pass
```
The following is a complete list of hooks that are available, and when
they are called.
(firstresult)=
**Note on firstresult hooks**
If multiple plugins install implementations for this hook, they will be called in
the reverse of the order in which they are installed (i.e., last plugin wins).
When each hook implementation is called in order, the first implementation that
returns a value other than `None` will "win" and prevent execution of all other
hooks. As such, you cannot "chain" a series of plugin filters together in this
way. Instead, a single hook implementation should be responsible for any such
chaining operations.
## Examples
- OCRmyPDF's test suite contains several plugins that are used to simulate certain
test conditions.
- [ocrmypdf-papermerge](https://github.com/papermerge/OCRmyPDF_papermerge) is
a production plugin that integrates OCRmyPDF and the Papermerge document
management system.
### Suppressing or overriding other plugins
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.initialize
```
### Custom command line arguments
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.add_options
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.check_options
```
### Plugin option models
Plugins can define their own option models using Pydantic. This allows plugins to:
- Define type-safe option structures with validation
- Add CLI arguments that map to their option model fields
- Access options via nested namespaces (e.g., `options.tesseract.timeout`)
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.register_options
```
Plugin options can be accessed in two ways:
1. **Flat access** (backward compatible): `options.tesseract_timeout`
2. **Nested access**: `options.tesseract.timeout`
Both access patterns are equivalent and return the same values.
:::{note}
**Plugin Interface Change**: Starting in OCRmyPDF v17.0.0, plugin hooks receive
`OcrOptions` objects instead of `argparse.Namespace` objects. Most plugins will
continue working due to duck-typing compatibility, but plugin developers should
update their type hints accordingly.
:::
### Migration guide for plugin developers
:::{versionadded} 17.0.0
:::
**Update imports:**
```python
from ocrmypdf._options import OcrOptions
```
**Update type hints:**
```python
# Before (v16 and earlier)
def check_options(options: argparse.Namespace) -> None:
...
# After (v17+)
def check_options(options: OcrOptions) -> None:
...
```
**Attribute access unchanged:**
```python
# These work exactly as before
options.languages
options.output_type
options.tesseract_timeout
```
**Remove in-place modifications:**
```python
# Before (v16 pattern - no longer recommended)
def check_options(options):
options.some_computed_value = compute_value(options)
# After (v17 pattern - compute at point of use)
def some_function(options):
computed = compute_value(options)
use_computed(computed)
```
### Execution and progress reporting
```{eval-rst}
.. autoclass:: ocrmypdf.pluginspec.ProgressBar
:members:
:special-members: __init__, __enter__, __exit__
```
```{eval-rst}
.. autoclass:: ocrmypdf.pluginspec.Executor
:members:
:special-members: __call__
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.get_logging_console
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.get_executor
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.get_progressbar_class
```
### Applying special behavior before processing
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.validate
```
### PDF page to image
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.rasterize_pdf_page
```
### Modifying intermediate images
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.filter_ocr_image
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.filter_page_image
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.filter_pdf_page
```
### OCR engine
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.get_ocr_engine
```
```{eval-rst}
.. autoclass:: ocrmypdf.pluginspec.OcrEngine
:members:
.. automethod:: __str__
```
```{eval-rst}
.. autoclass:: ocrmypdf.pluginspec.OrientationConfidence
```
### PDF/A production
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.generate_pdfa
```
### PDF optimization
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.optimize_pdf
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.is_optimization_enabled
```
### Working with OcrElement trees
:::{versionadded} 17.0.0
:::
OCRmyPDF v17 introduces the `OcrElement` dataclass for representing OCR
output in an engine-agnostic format. This enables plugins to work with
OCR results without parsing hOCR XML.
**Key classes:**
```python
from ocrmypdf import OcrElement, OcrClass, BoundingBox
# OcrElement - represents any OCR structural unit
page = OcrElement(
ocr_class=OcrClass.PAGE,
bbox=BoundingBox(0, 0, 612, 792),
children=[...]
)
# BoundingBox - axis-aligned bounding box (left, top, right, bottom)
bbox = BoundingBox(left=100, top=50, right=300, bottom=80)
# OcrClass - constants for element types
OcrClass.PAGE # "ocr_page"
OcrClass.LINE # "ocr_line"
OcrClass.WORD # "ocrx_word"
OcrClass.PARAGRAPH # "ocr_par"
```
**Navigating the tree:**
```python
# Get all words in a page
words = page.words # Returns list[OcrElement]
# Get all lines
lines = page.lines
# Get combined text
text = page.get_text_recursive()
# Iterate by class
for para in page.paragraphs:
print(para.get_text_recursive())
```
**OCR engine plugins:**
Plugins implementing custom OCR engines can now output `OcrElement` trees
directly via the `generate_ocr()` method, bypassing hOCR entirely:
```python
from pathlib import Path
from ocrmypdf.pluginspec import OcrEngine
from ocrmypdf import OcrElement, OcrClass, BoundingBox
class MyOcrEngine(OcrEngine):
def generate_ocr(
self,
input_file: Path,
options,
context,
) -> OcrElement:
# Perform OCR and return OcrElement tree directly
# No need to generate hOCR XML
return OcrElement(
ocr_class=OcrClass.PAGE,
bbox=BoundingBox(0, 0, width, height),
dpi=300,
children=[
OcrElement(
ocr_class=OcrClass.LINE,
bbox=BoundingBox(100, 50, 500, 80),
children=[
OcrElement(
ocr_class=OcrClass.WORD,
bbox=BoundingBox(100, 50, 200, 80),
text="Hello",
),
# ... more words
]
),
# ... more lines
]
)
def supports_generate_ocr(self) -> bool:
return True # Indicate this engine uses generate_ocr()
```
This approach is simpler than generating hOCR and allows modern OCR
engines to integrate more naturally with OCRmyPDF.
-235
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@@ -1,235 +0,0 @@
.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
=======
Plugins
=======
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL
NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and
"OPTIONAL" in this document are to be interpreted as described in
RFC 2119.
You can use plugins to customize the behavior of OCRmyPDF at certain points of
interest.
Currently, it is possible to:
- add new command line arguments
- override the decision for whether or not to perform OCR on a particular file
- modify the image is about to be sent for OCR
- modify the page image before it is converted to PDF
- replace the Tesseract OCR with another OCR engine that has similar behavior
- replace Ghostscript with another PDF to image converter (rasterizer) or
PDF/A generator
OCRmyPDF plugins are based on the Python ``pluggy`` package and conform to its
conventions. Note that: plugins installed with as setuptools entrypoints are
not checked currently, because OCRmyPDF assumes you may not want to enable
plugins for all files.
Script plugins
==============
Script plugins may be called from the command line, by specifying the name of a file.
Script plugins may be convenient for informal or "one-off" plugins, when a certain
batch of files needs a special processing step for example.
.. code-block:: bash
ocrmypdf --plugin ocrmypdf_example_plugin.py input.pdf output.pdf
Multiple plugins may be installed by issuing the ``--plugin`` argument multiple times.
Packaged plugins
================
Installed plugins may be installed into the same virtual environment as OCRmyPDF
is installed into. They may be invoked using Python standard module naming.
If you are intending to distribute a plugin, please package it.
.. code-block:: bash
ocrmypdf --plugin ocrmypdf_fancypants.pockets.contents input.pdf output.pdf
OCRmyPDF does not automatically import plugins, because the assumption is that
plugins affect different files differently and you may not want them activated
all the time. The command line or ``ocrmypdf.ocr(plugin='...')`` must call
for them.
Third parties that wish to distribute packages for ocrmypdf should package them
as packaged plugins, and these modules should begin with the name ``ocrmypdf_``
similar to ``pytest`` packages such as ``pytest-cov`` (the package) and
``pytest_cov`` (the module).
.. note::
We recommend plugin authors name their plugins with the prefix
``ocrmypdf-`` (for the package name on PyPI) and ``ocrmypdf_`` (for the
module), just like pytest plugins. At the same time, please make it clear
that your package is not official.
Setuptools plugins
==================
You can also create a plugin that OCRmyPDF will always automatically load if both are
installed in the same virtual environment, using a setuptools entrypoint.
Your package's ``pyproject.toml`` would need to contain the following, for a plugin
named ``ocrmypdf-exampleplugin``:
.. code-block:: toml
[project]
name = "ocrmypdf-exampleplugin"
[project.entry-points."ocrmypdf"]
exampleplugin = "exampleplugin.pluginmodule"
.. code-block:: ini
# equivalent setup.cfg
[options.entry_points]
ocrmypdf =
exampleplugin = exampleplugin.pluginmodule
Plugin requirements
===================
OCRmyPDF generally uses multiple worker processes. When a new worker is started,
Python will import all plugins again, including all plugins that were imported earlier.
This means that the global state of a plugin in one worker will not be shared with
other workers. As such, plugin hook implementations should be stateless, relying
only on their inputs. Hook implementations may use their input parameters to
to obtain a reference to shared state prepared by another hook implementation.
Plugins must expect that other instances of the plugin will be running
simultaneously.
The ``context`` object that is passed to many hooks can be used to share information
about a file being worked on. Plugins must write private, plugin-specific data to
a subfolder named ``{options.work_folder}/ocrmypdf-plugin-name``. Plugins MAY
read and write files in ``options.work_folder``, but should be aware that their
semantics are subject to change.
OCRmyPDF will delete ``options.work_folder`` when it has finished OCRing
a file, unless invoked with ``--keep-temporary-files``.
The documentation for some plugin hooks contain a detailed description of the
execution context in which they will be called.
Plugins should be prepared to work whether executed in worker threads or worker
processes. Generally, OCRmyPDF uses processes, but has a semi-hidden threaded
argument that simplifies debugging.
Plugin hooks
============
A plugin may provide the following hooks. Hooks must be decorated with
``ocrmypdf.hookimpl``, for example:
.. code-block:: python
from ocrmpydf import hookimpl
@hookimpl
def add_options(parser):
pass
The following is a complete list of hooks that are available, and when
they are called.
.. _firstresult:
**Note on firstresult hooks**
If multiple plugins install implementations for this hook, they will be called in
the reverse of the order in which they are installed (i.e., last plugin wins).
When each hook implementation is called in order, the first implementation that
returns a value other than ``None`` will "win" and prevent execution of all other
hooks. As such, you cannot "chain" a series of plugin filters together in this
way. Instead, a single hook implementation should be responsible for any such
chaining operations.
Examples
========
* OCRmyPDF's test suite contains several plugins that are used to simulate certain
test conditions.
* `ocrmypdf-papermerge <https://github.com/papermerge/OCRmyPDF_papermerge>`_ is
a production plugin that integrates OCRmyPDF and the Papermerge document
management system.
Suppressing or overriding other plugins
---------------------------------------
.. autofunction:: ocrmypdf.pluginspec.initialize
Custom command line arguments
-----------------------------
.. autofunction:: ocrmypdf.pluginspec.add_options
.. autofunction:: ocrmypdf.pluginspec.check_options
Execution and progress reporting
--------------------------------
.. autoclass:: ocrmypdf.pluginspec.ProgressBar
:members:
:special-members: __init__, __enter__, __exit__
.. autoclass:: ocrmypdf.pluginspec.Executor
:members:
:special-members: __call__
.. autofunction:: ocrmypdf.pluginspec.get_logging_console
.. autofunction:: ocrmypdf.pluginspec.get_executor
.. autofunction:: ocrmypdf.pluginspec.get_progressbar_class
Applying special behavior before processing
-------------------------------------------
.. autofunction:: ocrmypdf.pluginspec.validate
PDF page to image
-----------------
.. autofunction:: ocrmypdf.pluginspec.rasterize_pdf_page
Modifying intermediate images
-----------------------------
.. autofunction:: ocrmypdf.pluginspec.filter_ocr_image
.. autofunction:: ocrmypdf.pluginspec.filter_page_image
.. autofunction:: ocrmypdf.pluginspec.filter_pdf_page
OCR engine
----------
.. autofunction:: ocrmypdf.pluginspec.get_ocr_engine
.. autoclass:: ocrmypdf.pluginspec.OcrEngine
:members:
.. automethod:: __str__
.. autoclass:: ocrmypdf.pluginspec.OrientationConfidence
PDF/A production
----------------
.. autofunction:: ocrmypdf.pluginspec.generate_pdfa
PDF optimization
----------------
.. autofunction:: ocrmypdf.pluginspec.optimize_pdf
.. autofunction:: ocrmypdf.pluginspec.is_optimization_enabled
File diff suppressed because it is too large Load Diff
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+240
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@@ -0,0 +1,240 @@
# SPDX-FileCopyrightText: 2025 James R. Barlow
# SPDX-License-Identifier: AGPL-3.0-or-later
"""This is a simple web service/HTTP wrapper for OCRmyPDF.
This may be more convenient than the command line tool for some Docker users.
Note that OCRmyPDF uses Ghostscript, which is licensed under AGPLv3+. While
OCRmyPDF is under GPLv3, this file is distributed under the Affero GPLv3+ license,
to emphasize that SaaS deployments should make sure they comply with
Ghostscript's license as well as OCRmyPDF's.
"""
from __future__ import annotations
import os
import subprocess
import sys
from functools import partial
from operator import getitem
from pathlib import Path
from tempfile import NamedTemporaryFile
import pikepdf
import streamlit as st
from ocrmypdf._defaults import DEFAULT_ROTATE_PAGES_THRESHOLD
def get_host_url_with_port(port: int) -> str:
"""Get the host URL for the web service. Hacky."""
host_url = st.context.headers["host"]
try:
host, _streamlit_port = host_url.split(":", maxsplit=1)
except ValueError:
host = host_url
return f"//{host}:{port}" # Use the same protocol
st.title("OCRmyPDF Web Service")
uploaded = st.file_uploader("Upload input PDF or image", type=["pdf"], key="file")
mode = st.selectbox("Mode", options=["normal", "skip-text", "force-ocr", "redo-ocr"])
pages = st.text_input(
"Pages", value="", help="Comma-separated list of pages to process"
)
with st.expander("Input options"):
invalidate_digital_signatures = st.checkbox(
"Invalidate digital signatures", value=False
)
language = st.selectbox("Language", options=["eng", "deu", "fra", "spa"])
image_dpi = st.slider(
"Image DPI", value=300, key="image_dpi", min_value=1, max_value=5000, step=50
)
with st.expander("Preprocessing"):
skip_big = st.checkbox("Skip OCR on big pages", value=False, key="skip_big")
oversample = st.slider("Oversample", min_value=0, max_value=5000, value=0, step=50)
rotate_pages = st.checkbox("Rotate pages", value=False, key="rotate")
deskew = st.checkbox("Deskew pages", value=False, key="deskew")
clean = st.checkbox("Clean pages before OCR", value=False, key="clean")
clean_final = st.checkbox("Clean final", value=False, key="clean_final")
remove_vectors = st.checkbox("Remove vectors", value=False, key="remove_vectors")
with st.expander("Output options"):
output_type = st.selectbox(
"Output type", options=["pdfa", "pdf", "pdfa-1", "pdfa-2", "pdfa-3", "none"]
)
pdf_renderer = st.selectbox(
"PDF renderer", options=["auto", "hocr", "hocrdebug", "sandwich"]
)
optimize = st.selectbox("Optimize", options=["0", "1", "2", "3"])
st.selectbox("PDF/A compression", options=["auto", "jpeg", "lossless"])
with st.expander("Metadata"):
title = author = keywords = subject = None
if uploaded:
with pikepdf.open(uploaded) as pdf, pdf.open_metadata() as meta:
st.code(str(meta), language="xml")
title = st.text_input("Title", value=meta.get('dc:title', ''))
author = st.text_input("Author", value=meta.get('dc:creator', ''))
keywords = st.text_input("Keywords", value=meta.get('dc:subject', ''))
subject = st.text_input("Subject", value=meta.get('dc:description', ''))
with st.expander("Optimization after OCR"):
jpeg_quality = st.slider(
"JPEG quality", min_value=0, max_value=100, value=75, key="jpeg_quality"
)
png_quality = st.slider(
"PNG quality", min_value=0, max_value=100, value=75, key="png_quality"
)
jbig2_threshold = st.number_input(
"JBIG2 threshold", value=0.85, key="jbig2_threshold"
)
with st.expander("Advanced options"):
jobs = st.slider(
"Threads",
min_value=1,
max_value=os.cpu_count(),
value=os.cpu_count(),
key="threads",
)
max_image_mpixels = st.number_input(
"Max image size",
value=250.0,
min_value=0.0,
help="Maximum image size in megapixels",
)
rotate_pages_threshold = st.number_input(
"Rotate pages threshold",
value=DEFAULT_ROTATE_PAGES_THRESHOLD,
min_value=0.0,
max_value=1000.0,
help="Threshold for automatic page rotation",
)
fast_web_view = st.number_input(
"Fast web view",
value=1.0,
min_value=0.0,
help="Linearize files above this size in MB",
)
continue_on_soft_render_error = st.checkbox(
"Continue on soft render error", value=True
)
verbose_labels = ["quiet", "default", "debug", "debug_all"]
verbose = st.selectbox(
"Verbosity level",
options=[-1, 0, 1, 2],
index=1,
format_func=partial(getitem, verbose_labels),
)
if uploaded:
args = []
if mode and mode != 'normal':
args.append(f"--{mode}")
if language:
args.append(f"--language={language}")
if not uploaded.name.lower().endswith(".pdf") and image_dpi:
args.append(f"--image-dpi={image_dpi}")
if skip_big:
args.append("--skip-big")
if oversample:
args.append(f"--oversample={oversample}")
if rotate_pages:
args.append("--rotate-pages")
if deskew:
args.append("--deskew")
if clean:
args.append("--clean")
if clean_final:
args.append("--clean-final")
if remove_vectors:
args.append("--remove-vectors")
if output_type:
args.append(f"--output-type={output_type}")
if pdf_renderer:
args.append(f"--pdf-renderer={pdf_renderer}")
if optimize:
args.append(f"--optimize={optimize}")
if title:
args.append(f"--title={title}")
if author:
args.append(f"--author={author}")
if keywords:
args.append(f"--keywords={keywords}")
if subject:
args.append(f"--subject={subject}")
if pages:
args.append(f"--pages={pages}")
if max_image_mpixels:
args.append(f"--max-image-mpixels={max_image_mpixels}")
if rotate_pages_threshold:
args.append(f"--rotate-pages-threshold={rotate_pages_threshold}")
if fast_web_view:
args.append(f"--fast-web-view={fast_web_view}")
if continue_on_soft_render_error:
args.append("--continue-on-soft-render-error")
if verbose:
args.append(f"--verbose={verbose}")
if optimize > '0' and jpeg_quality:
args.append(f"--jpeg-quality={jpeg_quality}")
if optimize > '0' and png_quality:
args.append(f"--png-quality={png_quality}")
if jbig2_threshold:
args.append(f"--jbig2-threshold={jbig2_threshold}")
if jobs:
args.append(f"--jobs={jobs}")
with NamedTemporaryFile(delete=True, suffix=f"_{uploaded.name}") as input_file:
input_file.write(uploaded.getvalue())
input_file.flush()
input_file.seek(0)
args.append(str(input_file.name))
with NamedTemporaryFile(delete=True, suffix=".pdf") as output_file:
args.append(str(output_file.name))
st.session_state['running'] = (
'run_button' in st.session_state and st.session_state.run_button
)
if st.button(
"Run OCRmyPDF",
disabled=st.session_state.get("running", False),
key='run_button',
):
st.session_state['running'] = True
args = [sys.executable, '-u', '-m', "ocrmypdf"] + args
proc = subprocess.Popen(
args, stdout=subprocess.PIPE, stderr=subprocess.PIPE
)
with st.container(border=True):
while proc.poll() is None:
line = proc.stderr.readline()
if line:
st.html("<code>" + line.decode().strip() + "</code>")
if proc.returncode != 0:
st.error(f"ocrmypdf failed with exit code {proc.returncode}")
st.session_state['running'] = False
st.stop()
if Path(output_file.name).stat().st_size == 0:
st.error("No output PDF file was generated")
st.stop()
st.download_button(
label="Download output PDF",
data=output_file.read(),
file_name=uploaded.name,
mime="application/pdf",
)
st.session_state['running'] = False
+10 -10
View File
@@ -14,12 +14,12 @@ You should edit this script to meet your needs.
from __future__ import annotations
import filecmp
import logging
import sys
import os
import posixpath
import shutil
import filecmp
import sys
from pathlib import Path
import ocrmypdf
@@ -27,7 +27,8 @@ import ocrmypdf
# pylint: disable=logging-format-interpolation
# pylint: disable=logging-not-lazy
def filecompare(a,b):
def filecompare(a, b):
try:
return filecmp.cmp(a, b, shallow=True)
except FileNotFoundError:
@@ -38,10 +39,7 @@ script_dir = Path(__file__).parent
# set archive_dir to a path for backup original documents. Leave empty if not required.
archive_dir = "/pdfbak"
if len(sys.argv) > 1:
start_dir = Path(sys.argv[1])
else:
start_dir = Path(".")
start_dir = Path(sys.argv[1]) if len(sys.argv) > 1 else Path(".")
if len(sys.argv) > 2:
log_file = Path(sys.argv[2])
@@ -69,7 +67,7 @@ for filename in start_dir.glob("**/*.pdf"):
logging.info(f"Archiving document to {archive_filename}")
try:
shutil.copy2(filename, posixpath.dirname(archive_filename))
except IOError as io_err:
except OSError:
os.makedirs(posixpath.dirname(archive_filename))
shutil.copy2(filename, posixpath.dirname(archive_filename))
try:
@@ -82,7 +80,9 @@ for filename in start_dir.glob("**/*.pdf"):
except ocrmypdf.exceptions.DigitalSignatureError:
logging.info("Skipped document because it has a digital signature")
except ocrmypdf.exceptions.TaggedPDFError:
logging.info("Skipped document because it does not need ocr as it is tagged")
except:
logging.info(
"Skipped document because it does not need ocr as it is tagged"
)
except Exception:
logging.error("Unhandled error occured")
logging.info("OCR complete")
+43
View File
@@ -0,0 +1,43 @@
#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MIT
"""Helper script for bisecting PDFs to find a page with an issue."""
from __future__ import annotations
import sys
import pikepdf
if len(sys.argv) != 2:
print(f"Usage: {sys.argv[0]} <input.pdf>")
sys.exit(1)
with pikepdf.open(sys.argv[1]) as pdf:
num_pages = len(pdf.pages)
low = 0
high = num_pages - 1
while low <= high:
mid = (low + high) // 2
with pikepdf.new() as new_pdf:
new_pdf.pages.extend(pdf.pages[low : mid + 1])
new_pdf.save(f"bisect-issue-{low + 1}-{mid + 1}.pdf")
print(f"Is bisect-issue-{low + 1}-{mid + 1}.pdf good or bad?", end=" ")
while True:
response = input().lower()
if response == "good":
low = mid + 1
break
elif response == "bad":
high = mid - 1
break
else:
print("Please respond with 'good' or 'bad'.")
print(f"The issue is on page {low + 1} of the original PDF.")
with pikepdf.new() as new_pdf:
new_pdf.pages.extend(pdf.pages[low])
new_pdf.save(f"bisect-issue-bad-{low + 1}.pdf")
with pikepdf.new() as new_pdf:
new_pdf.pages.extend(pdf.pages[:low])
new_pdf.pages.extend(pdf.pages[low + 1 :])
new_pdf.save(f"bisect-issue-good-{low + 1}.pdf")
+86 -8
View File
@@ -21,18 +21,18 @@ __ocrmypdf_arguments()
--subject (set metadata)
--keywords (set metadata)
--rotate-pages (rotate pages to correct orientation)
--remove-background (attempt to remove background from pages)
--deskew (fix small horizontal alignment skew)
--clean (clean document images before OCR)
--clean-final (clean document images and keep result)
--unpaper-args (a quoted string of arguments to pass to unpaper)
--oversample (oversample images to this DPI)
--remove-vectors (don\'t send vector objects to OCR)
--threshold (threshold images before OCR)
--mode (processing mode for pages with existing text)
--force-ocr (OCR documents that already have printable text)
--skip-text (skip OCR on any pages that already contain text)
--redo-ocr (redo OCR on any pages that seem to have OCR already)
--invalidate-digital-signatures (remove digital signatures from PDF)
--tagged-pdf-mode (control behavior for Tagged PDFs)
--skip-big (skip OCR on pages larger than this many MPixels)
--optimize (select optimization level)
--jpeg-quality (JPEG quality [0..100])
@@ -42,9 +42,12 @@ __ocrmypdf_arguments()
--pages (apply OCR to only the specified pages)
--max-image-mpixels (image decompression bomb threshold)
--pdf-renderer (select PDF renderer options)
--ocr-engine (OCR engine to use)
--rasterizer (PDF page rasterizer)
--rotate-pages-threshold (page rotation confidence)
--pdfa-image-compression (set PDF/A image compression options)
--fast-web-view (if file size if above this amount in MB linearize PDF)
--continue-on-soft-render-error (continue after recoverable render errors)
--plugin (name of plugin to import)
--keep-temporary-files (keep temporary files (debug)
--tesseract-config (set custom tesseract config file)
@@ -52,6 +55,10 @@ __ocrmypdf_arguments()
--tesseract-oem (set tesseract --oem)
--tesseract-thresholding (set tesseract image thresholding)
--tesseract-timeout (maximum number of seconds to wait for OCR)
--tesseract-non-ocr-timeout (maximum seconds for non-OCR operations)
--tesseract-downsample-large-images (downsample large images before OCR)
--no-tesseract-downsample-large-images (do not downsample large images)
--tesseract-downsample-above (downsample images larger than this pixel size)
--user-words (specify location of user words file)
--user-patterns (specify location of user patterns file)
--no-progress-bar (disable the progress bar)
@@ -68,7 +75,8 @@ __ocrmypdf_arguments()
__ocrmypdf_output-type()
{
local choices="pdfa (output a PDF/A (default))
local choices="auto (best-effort PDF/A without Ghostscript (default))
pdfa (output a PDF/A-2b)
pdf (output a standard PDF)
pdfa-1 (output a PDF/A-1b)
pdfa-2 (output a PDF/A-2b)
@@ -114,10 +122,11 @@ __ocrmypdf_optimize()
__ocrmypdf_pdf-renderer()
{
local choices="auto (auto select PDF renderer)
hocr (use hOCR renderer)
hocrdebug (uses hOCR renderer in debug mode, showing recognized text)
sandwich (use sandwich renderer)"
local choices="auto (auto select PDF renderer, uses fpdf2)
fpdf2 (use fpdf2 renderer with full language support)
sandwich (use sandwich renderer)
hocr (use hOCR renderer - deprecated)
hocrdebug (uses hOCR renderer in debug mode - deprecated)"
COMPREPLY=( $( compgen -W "$choices" -- "$cur") )
@@ -210,6 +219,58 @@ UseDeviceIndependentColor (convert with device independent color)"
fi
}
__ocrmypdf_mode()
{
local choices="default (error if text is found)
force (rasterize all content and run OCR)
skip (skip pages with existing text)
redo (re-OCR pages, replacing old invisible text)"
COMPREPLY=( $( compgen -W "$choices" -- "$cur") )
# Remove description if only one completion exists
if [[ ${#COMPREPLY[*]} -eq 1 ]]; then
COMPREPLY=( ${COMPREPLY[0]%% *} )
fi
}
__ocrmypdf_tagged-pdf-mode()
{
local choices="default (error if --mode is default, otherwise warn)
ignore (always warn but continue processing)"
COMPREPLY=( $( compgen -W "$choices" -- "$cur") )
# Remove description if only one completion exists
if [[ ${#COMPREPLY[*]} -eq 1 ]]; then
COMPREPLY=( ${COMPREPLY[0]%% *} )
fi
}
__ocrmypdf_ocr-engine()
{
local choices="auto (select best available engine)
tesseract (use Tesseract OCR)
none (skip OCR entirely)"
COMPREPLY=( $( compgen -W "$choices" -- "$cur") )
# Remove description if only one completion exists
if [[ ${#COMPREPLY[*]} -eq 1 ]]; then
COMPREPLY=( ${COMPREPLY[0]%% *} )
fi
}
__ocrmypdf_rasterizer()
{
local choices="auto (prefer pypdfium, fall back to Ghostscript)
ghostscript (use Ghostscript rasterizer)
pypdfium (use pypdfium rasterizer - faster)"
COMPREPLY=( $( compgen -W "$choices" -- "$cur") )
# Remove description if only one completion exists
if [[ ${#COMPREPLY[*]} -eq 1 ]]; then
COMPREPLY=( ${COMPREPLY[0]%% *} )
fi
}
__ocrmypdf_check_previous()
{
case $prev in
@@ -241,6 +302,22 @@ __ocrmypdf_check_previous()
__ocrmypdf_pdf-renderer
return 0
;;
-m|--mode)
__ocrmypdf_mode
return 0
;;
--tagged-pdf-mode)
__ocrmypdf_tagged-pdf-mode
return 0
;;
--ocr-engine)
__ocrmypdf_ocr-engine
return 0
;;
--rasterizer)
__ocrmypdf_rasterizer
return 0
;;
--pdfa-image-compression)
__ocrmypdf_pdfa-image-compression
return 0
@@ -260,7 +337,8 @@ __ocrmypdf_check_previous()
--title|--author|--subject|--keywords|--unpaper-args|--pages|--plugin|\
--jpeg-quality|--png-quality|--image-dpi|--oversample|--skip-big|--max-image-mpixels|\
--tesseract-timeout|--rotate-pages-threshold|--fast-web-view)
--tesseract-timeout|--tesseract-non-ocr-timeout|--tesseract-downsample-above|\
--rotate-pages-threshold|--fast-web-view)
# argument required but no completions available
return 0
;;
+40 -4
View File
@@ -11,13 +11,27 @@ complete -c ocrmypdf -s r -l rotate-pages -d "rotate pages to correct orientatio
complete -c ocrmypdf -s d -l deskew -d "fix small horizontal alignment skew"
complete -c ocrmypdf -s c -l clean -d "clean document images before OCR"
complete -c ocrmypdf -s i -l clean-final -d "clean document images and keep result"
complete -c ocrmypdf -x -l unpaper-args -d "quoted string of arguments to pass to unpaper"
complete -c ocrmypdf -l remove-vectors -d "don't send vector objects to OCR"
function __fish_ocrmypdf_mode
echo -e "default\t"(_ "error if text is found")
echo -e "force\t"(_ "rasterize all content and run OCR")
echo -e "skip\t"(_ "skip pages with existing text")
echo -e "redo\t"(_ "re-OCR pages, replacing old invisible text")
end
complete -c ocrmypdf -x -s m -l mode -a '(__fish_ocrmypdf_mode)' -d "processing mode for pages with existing text"
complete -c ocrmypdf -s f -l force-ocr -d "OCR documents that already have printable text"
complete -c ocrmypdf -s s -l skip-text -d "skip OCR on any pages that already contain text"
complete -c ocrmypdf -l redo-ocr -d "redo OCR on any pages that seem to have OCR already"
complete -c ocrmypdf -l invalidate-digital-signatures -d "invalidate digital signatures and allow OCR to proceed"
function __fish_ocrmypdf_tagged_pdf_mode
echo -e "default\t"(_ "error if --mode is default, otherwise warn")
echo -e "ignore\t"(_ "always warn but continue processing")
end
complete -c ocrmypdf -x -l tagged-pdf-mode -a '(__fish_ocrmypdf_tagged_pdf_mode)' -d "control behavior for Tagged PDFs"
complete -c ocrmypdf -s k -l keep-temporary-files -d "keep temporary files (debug)"
function __fish_ocrmypdf_languages
@@ -32,7 +46,8 @@ complete -c ocrmypdf -x -s l -l language -a '(__fish_ocrmypdf_languages)' -d lan
complete -c ocrmypdf -x -l image-dpi -d "assume this DPI if input image DPI is unknown"
function __fish_ocrmypdf_output_type
echo -e "pdfa\t"(_ "output a PDF/A (default)")
echo -e "auto\t"(_ "best-effort PDF/A without requiring Ghostscript (default)")
echo -e "pdfa\t"(_ "output a PDF/A-2b")
echo -e "pdf\t"(_ "output a standard PDF")
echo -e "pdfa-1\t"(_ "output a PDF/A-1b")
echo -e "pdfa-2\t"(_ "output a PDF/A-2b")
@@ -42,13 +57,28 @@ end
complete -c ocrmypdf -x -l output-type -a '(__fish_ocrmypdf_output_type)' -d "select PDF output options"
function __fish_ocrmypdf_pdf_renderer
echo -e "auto\t"(_ "auto select PDF renderer")
echo -e "hocr\t"(_ "use hOCR renderer")
echo -e "hocrdebug\t"(_ "uses hOCR renderer in debug mode, showing recognized text")
echo -e "auto\t"(_ "auto select PDF renderer (default, uses fpdf2)")
echo -e "fpdf2\t"(_ "use fpdf2 renderer with full language support")
echo -e "sandwich\t"(_ "use sandwich renderer")
echo -e "hocr\t"(_ "use hOCR renderer (deprecated)")
echo -e "hocrdebug\t"(_ "uses hOCR renderer in debug mode (deprecated)")
end
complete -c ocrmypdf -x -l pdf-renderer -a '(__fish_ocrmypdf_pdf_renderer)' -d "select PDF renderer options"
function __fish_ocrmypdf_ocr_engine
echo -e "auto\t"(_ "select best available engine (default)")
echo -e "tesseract\t"(_ "use Tesseract OCR")
echo -e "none\t"(_ "skip OCR entirely")
end
complete -c ocrmypdf -x -l ocr-engine -a '(__fish_ocrmypdf_ocr_engine)' -d "OCR engine to use"
function __fish_ocrmypdf_rasterizer
echo -e "auto\t"(_ "prefer pypdfium, fall back to Ghostscript (default)")
echo -e "ghostscript\t"(_ "use Ghostscript rasterizer")
echo -e "pypdfium\t"(_ "use pypdfium rasterizer (faster)")
end
complete -c ocrmypdf -x -l rasterizer -a '(__fish_ocrmypdf_rasterizer)' -d "PDF page rasterizer"
function __fish_ocrmypdf_optimize
echo -e "0\t"(_ "do not optimize")
echo -e "1\t"(_ "do safe, lossless optimizations (default)")
@@ -124,11 +154,17 @@ end
complete -c ocrmypdf -x -l tesseract-thresholding -a '(__fish_ocrmypdf_tesseract_thresholding)' -d "set tesseract thresholding method (needs Tesseract 5.x)"
complete -c ocrmypdf -x -l tesseract-timeout -d "maximum number of seconds to wait for OCR"
complete -c ocrmypdf -x -l tesseract-non-ocr-timeout -d "maximum seconds to wait for non-OCR operations"
complete -c ocrmypdf -l tesseract-downsample-large-images -d "downsample large images before OCR"
complete -c ocrmypdf -l no-tesseract-downsample-large-images -d "do not downsample large images"
complete -c ocrmypdf -x -l tesseract-downsample-above -d "downsample images larger than this pixel size"
complete -c ocrmypdf -x -l rotate-pages-threshold -d "page rotation confidence"
complete -c ocrmypdf -r -l user-words -d "specify location of user words file"
complete -c ocrmypdf -r -l user-patterns -d "specify location of user patterns file"
complete -c ocrmypdf -x -l fast-web-view -d "if file size if above this amount in MB, linearize PDF"
complete -c ocrmypdf -l continue-on-soft-render-error -d "continue processing after recoverable render errors"
complete -c ocrmypdf -r -l plugin -d "name of plugin to import"
function __fish_ocrmypdf_color_conversion_strategy
echo -e "LeaveColorUnchanged\t"(_ "do not convert color spaces (default)")
@@ -0,0 +1,63 @@
<?xml version="1.0" encoding="UTF-8"?>
<component type="console-application">
<id>io.ocrmypdf.ocrmypdf</id>
<name>OCRmyPDF</name>
<summary>Adds an OCR text layer to scanned PDF files, allowing them to be searched</summary>
<developer id="io.ocrmypdf">
<name>OCRmyPDF Developers</name>
</developer>
<url type="homepage">https://github.com/ocrmypdf/ocrmypdf</url>
<url type="bugtracker">https://github.com/ocrmypdf/OCRmyPDF/issues</url>
<content_rating type="oars-1.1" />
<metadata_license>CC0-1.0</metadata_license>
<project_license>MPL-2.0</project_license>
<description>
<ul>
<li>Generates a searchable PDF/A file from a regular PDF</li>
<li>Places OCR text accurately below the image to ease copy / paste</li>
<li>Keeps the exact resolution of the original embedded images</li>
<li>When possible, inserts OCR information as a lossless operation without disrupting any other content</li>
<li>Optimizes PDF images, often producing files smaller than the input file If requested, deskews and/or cleans the image before performing OCR</li>
<li>Validates input and output files</li>
<li>Distributes work across all available CPU cores</li>
<li>Uses Tesseract OCR engine to recognize more than 100 languages</li>
<li>Keeps your private data private</li>
<li>Scales properly to handle files with thousands of pages</li>
<li>Battle-tested on millions of PDFs</li>
</ul>
</description>
<provides>
<binary>ocrmypdf</binary>
</provides>
<icon type="stock">io.ocrmypdf.ocrmypdf</icon>
<screenshots>
<screenshot type="default">
<image>https://raw.githubusercontent.com/ocrmypdf/OCRmyPDF/f7ad5f16bd0340b0b1803dada0c02f9f40542bd8/misc/flatpak/sample_screenshot.png</image>
<caption>Sample usage of OCRmyPDF</caption>
</screenshot>
</screenshots>
<categories>
<category>Office</category>
<category>Utility</category>
</categories>
<keywords>
<keyword>ocr</keyword>
<keyword>pdf</keyword>
<keyword>tool</keyword>
</keywords>
<releases>
<release version="16.8.0" date="2025-01-05"/>
</releases>
</component>
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+128
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@@ -0,0 +1,128 @@
# SPDX-FileCopyrightText: 2025 James R. Barlow
# SPDX-License-Identifier: MIT
"""Run OCRmyPDF on the same PDF with different options."""
from __future__ import annotations
import os
import shlex
from io import BytesIO
from pathlib import Path
from subprocess import check_output, run
from tempfile import TemporaryDirectory
import pikepdf
import pymupdf
import streamlit as st
from lxml import etree
from streamlit_pdf_viewer import pdf_viewer
def do_column(label, suffix, d):
cli = st.text_area(
f"Command line arguments for {label}",
key=f"args{suffix}",
value="ocrmypdf {in_} {out}",
)
env_text = st.text_area(f"Environment variables for {label}", key=f"env{suffix}")
env = os.environ.copy()
for line in env_text.splitlines():
if line:
try:
k, v = line.split("=", 1)
except ValueError:
st.error(f"Invalid environment variable: {line}")
break
env[k] = v
args = shlex.split(
cli.format(
in_=os.path.join(d, "input.pdf"),
out=os.path.join(d, f"output{suffix}.pdf"),
)
)
with st.expander("Environment variables", expanded=bool(env_text.strip())):
st.code('\n'.join(f"{k}={v}" for k, v in env.items()))
st.code(shlex.join(args))
return env, args
def main():
st.set_page_config(layout="wide")
st.title("OCRmyPDF Compare")
st.write("Run OCRmyPDF on the same PDF with different options.")
st.warning("This is a testing tool and is not intended for production use.")
uploaded_pdf = st.file_uploader("Upload a PDF", type=["pdf"])
if uploaded_pdf is None:
return
pdf_bytes = uploaded_pdf.read()
with pikepdf.open(BytesIO(pdf_bytes)) as p, TemporaryDirectory() as d:
with st.expander("PDF Metadata"):
with p.open_metadata() as meta:
xml_txt = str(meta)
parser = etree.XMLParser(remove_blank_text=True)
tree = etree.fromstring(xml_txt, parser=parser)
st.code(
etree.tostring(tree, pretty_print=True).decode("utf-8"),
language="xml",
)
st.write(p.docinfo)
st.write("Number of pages:", len(p.pages))
col1, col2 = st.columns(2)
with col1:
env1, args1 = do_column("A", "1", d)
with col2:
env2, args2 = do_column("B", "2", d)
if not st.button("Execute and Compare"):
return
with st.spinner("Executing..."):
Path(d, "input.pdf").write_bytes(pdf_bytes)
run(args1, env=env1)
run(args2, env=env2)
col1, col2 = st.columns(2)
with col1:
st.text(
"Ghostscript version A: "
+ check_output(
["gs", "--version"],
env=env1,
text=True,
)
)
with col2:
st.text(
"Ghostscript version B: "
+ check_output(
["gs", "--version"],
env=env2,
text=True,
)
)
doc1 = pymupdf.open(os.path.join(d, "output1.pdf"))
doc2 = pymupdf.open(os.path.join(d, "output2.pdf"))
for i, page1_2 in enumerate(zip(doc1, doc2, strict=False)):
st.write(f"Page {i+1}")
page1, page2 = page1_2
col1, col2 = st.columns(2)
with col1, st.container(border=True):
st.write(page1.get_text())
with col2, st.container(border=True):
st.write(page2.get_text())
col1, col2 = st.columns(2)
with col1, st.expander("PDF Viewer"):
pdf_viewer(Path(d, "output1.pdf"))
with col2, st.expander("PDF Viewer"):
pdf_viewer(Path(d, "output2.pdf"))
if __name__ == "__main__":
main()
+83
View File
@@ -0,0 +1,83 @@
# SPDX-FileCopyrightText: 2025 James R. Barlow
# SPDX-License-Identifier: MIT
"""Compare two PDFs."""
from __future__ import annotations
import os
from io import BytesIO
from pathlib import Path
from tempfile import TemporaryDirectory
import pikepdf
import pymupdf
import streamlit as st
from lxml import etree
from streamlit_pdf_viewer import pdf_viewer
def do_metadata(pdf):
with pikepdf.open(pdf) as pdf:
with pdf.open_metadata() as meta:
xml_txt = str(meta)
parser = etree.XMLParser(remove_blank_text=True)
tree = etree.fromstring(xml_txt, parser=parser)
st.code(
etree.tostring(tree, pretty_print=True).decode("utf-8"),
language="xml",
)
st.write(pdf.docinfo)
st.write("Number of pages:", len(pdf.pages))
def main():
st.set_page_config(layout="wide")
st.title("PDF Compare")
st.write("Compare two PDFs.")
col1, col2 = st.columns(2)
with col1:
uploaded_pdf1 = st.file_uploader("Upload a PDF", type=["pdf"], key='pdf1')
with col2:
uploaded_pdf2 = st.file_uploader("Upload a PDF", type=["pdf"], key='pdf2')
if uploaded_pdf1 is None or uploaded_pdf2 is None:
return
pdf_bytes1 = uploaded_pdf1.getvalue()
pdf_bytes2 = uploaded_pdf2.getvalue()
with st.expander("PDF Metadata"):
col1, col2 = st.columns(2)
with col1:
do_metadata(BytesIO(pdf_bytes1))
with col2:
do_metadata(BytesIO(pdf_bytes2))
with TemporaryDirectory() as d:
Path(d, "1.pdf").write_bytes(pdf_bytes1)
Path(d, "2.pdf").write_bytes(pdf_bytes2)
with st.expander("Text"):
doc1 = pymupdf.open(os.path.join(d, "1.pdf"))
doc2 = pymupdf.open(os.path.join(d, "2.pdf"))
for i, page1_2 in enumerate(zip(doc1, doc2, strict=False)):
st.write(f"Page {i+1}")
page1, page2 = page1_2
col1, col2 = st.columns(2)
with col1, st.container(border=True):
st.write(page1.get_text())
with col2, st.container(border=True):
st.write(page2.get_text())
with st.expander("PDF Viewer"):
col1, col2 = st.columns(2)
with col1:
pdf_viewer(Path(d, "1.pdf"), key='pdf_viewer1', render_text=True)
with col2:
pdf_viewer(Path(d, "2.pdf"), key='pdf_viewer2', render_text=True)
if __name__ == "__main__":
main()
+57
View File
@@ -0,0 +1,57 @@
# SPDX-FileCopyrightText: 2025 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Compare text in PDFs."""
from __future__ import annotations
from pathlib import Path
from subprocess import run
from tempfile import NamedTemporaryFile
from typing import Annotated
import cyclopts
app = cyclopts.App()
@app.default
def main(
pdf1: Annotated[Path, cyclopts.Parameter()],
pdf2: Annotated[Path, cyclopts.Parameter()],
*,
engine: Annotated[str, cyclopts.Parameter()] = 'pdftotext',
):
"""Compare text in PDFs."""
with open(pdf1, 'rb') as f1, open(pdf2, 'rb') as f2:
text1 = run(
['pdftotext', '-layout', '-', '-'],
stdin=f1,
capture_output=True,
check=True,
)
text2 = run(
['pdftotext', '-layout', '-', '-'],
stdin=f2,
capture_output=True,
check=True,
)
with NamedTemporaryFile() as t1, NamedTemporaryFile() as t2:
t1.write(text1.stdout)
t1.flush()
t2.write(text2.stdout)
t2.flush()
diff = run(
['diff', '--color=always', '--side-by-side', t1.name, t2.name],
capture_output=True,
)
run(['less', '-R'], input=diff.stdout, check=True)
if text1.stdout.strip() != text2.stdout.strip():
return 1
return 0
if __name__ == '__main__':
app()
+1 -1
View File
@@ -60,6 +60,6 @@
[8.280789, "o", "\rRecompressing JPEGs: 0image [00:00, ?image/s]\rRecompressing JPEGs: 0image [00:00, ?image/s]\r\n\rDeflating JPEGs: 0%| | 0/4 [00:00<?, ?image/s]\rDeflating JPEGs: 100%|███████████████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 238.28image/s]\r\n"]
[8.28149, "o", "\rJBIG2: 0item [00:00, ?item/s]\rJBIG2: 0item [00:00, ?item/s]\r\n"]
[8.289998, "o", "Image optimization ratio: 1.01 savings: 1.3%\r\nTotal file size ratio: 1.02 savings: 1.6%\r\n"]
[8.291209, "o", "Output file is a PDF/A-2B (as expected)\r\n"]
[8.291209, "o", "Output file is a PDF/A-2b (as expected)\r\n"]
[8.361316, "o", "\u001b[2m⏎\u001b(B\u001b[m \r⏎ \r\u001b[K\u001b[?2004h\u001b]0;fish /home/jb/src/ocrmypdf/tests/resources\u0007\u001b[30m\u001b(B\u001b[m> \u001b[K\r\u001b[C\u001b[C"]
[8.862206, "o", "\r\n\u001b[30m\u001b(B\u001b[m\u001b[30m\u001b(B\u001b[m\u001b[?2004l"]
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+4 -3
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@@ -53,9 +53,10 @@ for dir_name, _subdirs, file_list in os.walk(start_dir):
]
logging.info(cmd)
full_path_ocr = os.path.join(dir_name, filename_ocr)
with open(filename, 'rb') as input_file, open(
full_path_ocr, 'wb'
) as output_file:
with (
open(filename, 'rb') as input_file,
open(full_path_ocr, 'wb') as output_file,
):
proc = subprocess.run(
cmd,
stdin=input_file,
+55 -70
View File
@@ -5,21 +5,20 @@
"""Watch a directory for new PDFs and OCR them."""
# Do not enable annotations!
# https://github.com/tiangolo/typer/discussions/598
from __future__ import annotations
import datetime as dt
import json
import logging
import shutil
import sys
import time
from datetime import datetime
from enum import Enum
from pathlib import Path
from typing import Annotated, Any
import cyclopts
import pikepdf
import typer
from dotenv import load_dotenv
from watchdog.events import PatternMatchingEventHandler
from watchdog.observers import Observer
@@ -31,7 +30,7 @@ load_dotenv()
# pylint: disable=logging-format-interpolation
app = typer.Typer(name="ocrmypdf-watcher")
app = cyclopts.App(name="ocrmypdf-watcher")
log = logging.getLogger('ocrmypdf-watcher')
@@ -46,15 +45,18 @@ class LoggingLevelEnum(str, Enum):
CRITICAL = "CRITICAL"
def get_output_dir(root: Path, basename: str, output_dir_year_month: bool) -> Path:
def get_output_path(root: Path, basename: str, output_dir_year_month: bool) -> Path:
assert '/' not in basename, "basename must not contain '/'"
if output_dir_year_month:
today = datetime.today()
today = dt.datetime.today()
output_directory_year_month = root / str(today.year) / f'{today.month:02d}'
if not output_directory_year_month.exists():
output_directory_year_month.mkdir(parents=True, exist_ok=True)
output_path = Path(output_directory_year_month) / basename
output_path = Path(output_directory_year_month) / Path(basename).with_suffix(
'.pdf'
)
else:
output_path = root / basename
output_path = root / Path(basename).with_suffix('.pdf')
return output_path
@@ -98,7 +100,7 @@ def execute_ocrmypdf(
retries_loading_file: int,
output_dir_year_month: bool,
):
output_path = get_output_dir(output_dir, file_path.name, output_dir_year_month)
output_path = get_output_path(output_dir, file_path.name, output_dir_year_month)
log.info("-" * 20)
log.info(f'New file: {file_path}. Waiting until fully written...')
@@ -112,9 +114,11 @@ def execute_ocrmypdf(
f'kwargs: {ocrmypdf_kwargs}'
)
exit_code = ocrmypdf.ocr(
input_file=file_path,
output_file=output_path,
**ocrmypdf_kwargs,
ocrmypdf.OcrOptions(
input_file=file_path,
output_file=output_path,
**ocrmypdf_kwargs,
)
)
if exit_code == 0:
if on_success_delete:
@@ -136,7 +140,7 @@ class HandleObserverEvent(PatternMatchingEventHandler):
ignore_patterns=None,
ignore_directories=False,
case_sensitive=False,
settings={},
settings=None,
):
super().__init__(
patterns=patterns,
@@ -144,117 +148,101 @@ class HandleObserverEvent(PatternMatchingEventHandler):
ignore_directories=ignore_directories,
case_sensitive=case_sensitive,
)
self._settings = settings
self._settings = settings if settings else {}
def on_any_event(self, event):
if event.event_type in ['created']:
execute_ocrmypdf(file_path=Path(event.src_path), **self._settings)
@app.command()
@app.default
def main(
input_dir: Annotated[
Path,
typer.Argument(
envvar='OCR_INPUT_DIRECTORY',
exists=True,
file_okay=False,
dir_okay=True,
readable=True,
resolve_path=True,
cyclopts.Parameter(
env_var='OCR_INPUT_DIRECTORY',
),
] = '/input',
] = Path('/input'),
output_dir: Annotated[
Path,
typer.Argument(
envvar='OCR_OUTPUT_DIRECTORY',
exists=True,
file_okay=False,
dir_okay=True,
writable=True,
resolve_path=True,
cyclopts.Parameter(
env_var='OCR_OUTPUT_DIRECTORY',
),
] = '/output',
] = Path('/output'),
archive_dir: Annotated[
Path,
typer.Argument(
envvar='OCR_ARCHIVE_DIRECTORY',
exists=True,
file_okay=False,
dir_okay=True,
writable=True,
resolve_path=True,
cyclopts.Parameter(
env_var='OCR_ARCHIVE_DIRECTORY',
),
] = '/processed',
] = Path('/processed'),
*,
output_dir_year_month: Annotated[
bool,
typer.Option(
envvar='OCR_OUTPUT_DIRECTORY_YEAR_MONTH',
cyclopts.Parameter(
env_var='OCR_OUTPUT_DIRECTORY_YEAR_MONTH',
help='Create a subdirectory in the output directory for each year/month',
),
] = False,
on_success_delete: Annotated[
bool,
typer.Option(
envvar='OCR_ON_SUCCESS_DELETE',
cyclopts.Parameter(
env_var='OCR_ON_SUCCESS_DELETE',
help='Delete the input file after successful OCR',
),
] = False,
on_success_archive: Annotated[
bool,
typer.Option(
envvar='OCR_ON_SUCCESS_ARCHIVE',
cyclopts.Parameter(
env_var='OCR_ON_SUCCESS_ARCHIVE',
help='Archive the input file after successful OCR',
),
] = False,
deskew: Annotated[
bool,
typer.Option(
envvar='OCR_DESKEW',
cyclopts.Parameter(
env_var='OCR_DESKEW',
help='Deskew the input file before OCR',
),
] = False,
ocr_json_settings: Annotated[
str,
typer.Option(
envvar='OCR_JSON_SETTINGS',
str | None,
cyclopts.Parameter(
env_var='OCR_JSON_SETTINGS',
help='JSON settings to pass to OCRmyPDF (JSON string or file path)',
),
] = None,
poll_new_file_seconds: Annotated[
int,
typer.Option(
envvar='OCR_POLL_NEW_FILE_SECONDS',
cyclopts.Parameter(
env_var='OCR_POLL_NEW_FILE_SECONDS',
help='Seconds to wait before polling a new file',
min=0,
),
] = 1,
use_polling: Annotated[
bool,
typer.Option(
envvar='OCR_USE_POLLING',
cyclopts.Parameter(
env_var='OCR_USE_POLLING',
help='Use polling instead of filesystem events',
),
] = False,
retries_loading_file: Annotated[
int,
typer.Option(
envvar='OCR_RETRIES_LOADING_FILE',
cyclopts.Parameter(
env_var='OCR_RETRIES_LOADING_FILE',
help='Number of times to retry loading a file before giving up',
min=0,
),
] = 5,
loglevel: Annotated[
LoggingLevelEnum,
typer.Option(
envvar='OCR_LOGLEVEL',
cyclopts.Parameter(
env_var='OCR_LOGLEVEL',
help='Logging level',
),
] = LoggingLevelEnum.INFO,
patterns: Annotated[
str,
typer.Option(
envvar='OCR_PATTERNS',
cyclopts.Parameter(
env_var='OCR_PATTERNS',
help='File patterns to watch',
),
] = '*.pdf,*.PDF',
@@ -275,11 +263,11 @@ def main(
f"Output Directory Year & Month: {output_dir_year_month}\n"
f"Archive Directory: {archive_dir}"
)
log.debug(
log.info(
f"INPUT_DIRECTORY: {input_dir}\n"
f"OUTPUT_DIRECTORY: {output_dir}\n"
f"OUTPUT_DIRECTORY_YEAR_MONTH: {output_dir_year_month}\n"
f"ARCHIVE_DIRECTORY: {archive_dir}\n"
f"OUTPUT_DIRECTORY_YEAR_MONTH: {output_dir_year_month}\n"
f"ON_SUCCESS_DELETE: {on_success_delete}\n"
f"ON_SUCCESS_ARCHIVE: {on_success_archive}\n"
f"DESKEW: {deskew}\n"
@@ -314,13 +302,10 @@ def main(
'output_dir_year_month': output_dir_year_month,
},
)
if use_polling:
observer = PollingObserver()
else:
observer = Observer()
observer = PollingObserver() if use_polling else Observer()
observer.schedule(handler, input_dir, recursive=True)
observer.start()
typer.echo(f"Watching {input_dir} for new PDFs. Press Ctrl+C to exit.")
print(f"Watching {input_dir} for new PDFs. Press Ctrl+C to exit.")
try:
while True:
time.sleep(30)
Regular → Executable
+23 -99
View File
@@ -1,107 +1,31 @@
#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2019 James R. Barlow
#!/usr/bin/env python
# SPDX-FileCopyrightText: 2025 James R. Barlow
# SPDX-License-Identifier: AGPL-3.0-or-later
"""This is a simple web service/HTTP wrapper for OCRmyPDF.
This may be more convenient than the command line tool for some Docker users.
Note that OCRmyPDF uses Ghostscript, which is licensed under AGPLv3+. While
OCRmyPDF is under GPLv3, this file is distributed under the Affero GPLv3+ license,
to emphasize that SaaS deployments should make sure they comply with
Ghostscript's license as well as OCRmyPDF's.
"""
"""Run the OCRmyPDF web service."""
from __future__ import annotations
import os
import shlex
from subprocess import run
from tempfile import TemporaryDirectory
import sys
from flask import Flask, Response, request, send_from_directory
from werkzeug.utils import secure_filename
try:
import streamlit # noqa: F401
except ImportError:
raise ImportError(
'You need to install streamlit in the Python environment '
'to run the web service.\n'
) from None
app = Flask(__name__)
app.secret_key = "secret"
app.config['MAX_CONTENT_LENGTH'] = 50_000_000
app.config.from_envvar("OCRMYPDF_WEBSERVICE_SETTINGS", silent=True)
ALLOWED_EXTENSIONS = {"pdf"}
def allowed_file(filename):
return "." in filename and filename.rsplit(".", 1)[1].lower() in ALLOWED_EXTENSIONS
def do_ocrmypdf(file):
uploaddir = TemporaryDirectory(prefix="ocrmypdf-upload")
downloaddir = TemporaryDirectory(prefix="ocrmypdf-download")
filename = secure_filename(file.filename)
up_file = os.path.join(uploaddir.name, filename)
file.save(up_file)
down_file = os.path.join(downloaddir.name, filename)
cmd_args = [arg for arg in shlex.split(request.form["params"])]
if "--sidecar" in cmd_args:
return Response("--sidecar not supported", 501, mimetype='text/plain')
ocrmypdf_args = ["ocrmypdf", *cmd_args, up_file, down_file]
proc = run(ocrmypdf_args, capture_output=True, encoding="utf-8", check=False)
if proc.returncode != 0:
stderr = proc.stderr
return Response(stderr, 400, mimetype='text/plain')
return send_from_directory(downloaddir.name, filename)
@app.route("/", methods=["GET", "POST"])
def upload_file():
if request.method == "POST":
if "file" not in request.files:
return Response("No file in POST", 400, mimetype='text/plain')
file = request.files["file"]
if file.filename == "":
return Response("Empty filename", 400, mimetype='text/plain')
if not allowed_file(file.filename):
return Response("Invalid filename", 400, mimetype='text/plain')
if file and allowed_file(file.filename):
return do_ocrmypdf(file)
return Response("Some other problem", 400, mimetype='text/plain')
return """
<!doctype html>
<title>OCRmyPDF webservice</title>
<h1>Upload a PDF (debug UI)</h1>
<form method=post enctype=multipart/form-data>
<label for="args">Command line parameters</label>
<input type=textbox name=params>
<label for="file">File to upload</label>
<input type=file name=file>
<input type=submit value=Upload>
</form>
<h4>Notice</h2>
<div style="font-size: 70%; max-width: 34em;">
<p>This is a webservice wrapper for OCRmyPDF.</p>
<p>Copyright 2019 James R. Barlow</p>
<p>This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
</p>
<p>This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
</p>
<p>
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see &lt;http://www.gnu.org/licenses/&gt;.
</p>
</div>
"""
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5000)
if __name__ == '__main__':
os.execvp(
sys.executable,
[
sys.executable,
'-m',
'streamlit',
'run',
'misc/_webservice.py',
*sys.argv[1:],
],
)
+75 -64
View File
@@ -1,25 +1,30 @@
# SPDX-FileCopyrightText: 2022 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
[build-system]
requires = ["setuptools >= 61", "setuptools_scm[toml] >= 7.0.5", "wheel"]
build-backend = "setuptools.build_meta"
requires = ["hatchling", "hatch-vcs"]
build-backend = "hatchling.build"
[project]
name = "ocrmypdf"
dynamic = ["version"]
description = "OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched"
readme = "README.md"
license = { text = "MPL-2.0" }
requires-python = ">=3.10"
license = "MPL-2.0"
requires-python = ">=3.11"
dependencies = [
"Pillow>=10.0.1",
"deprecation>=2.1.0",
"fpdf2>=2.8.0",
"img2pdf>=0.5",
"packaging>=20",
"pdfminer.six>=20220319",
"pikepdf>=8.10.1",
"pi-heif", # Heif image format - maintainers: if this is removed, it will NOT break
"pikepdf>=10",
"Pillow>=10.0.1",
"pluggy>=1",
"pydantic>=2.12.5",
"pypdfium2>=5.0.0",
"rich>=13",
"uharfbuzz>=0.53.2",
]
authors = [{ name = "James R. Barlow", email = "james@purplerock.ca" }]
classifiers = [
@@ -28,7 +33,6 @@ classifiers = [
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Science/Research",
"Intended Audience :: System Administrators",
"License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
@@ -45,61 +49,24 @@ keywords = ["PDF", "OCR", "optical character recognition", "PDF/A", "scanning"]
Documentation = "https://ocrmypdf.readthedocs.io/"
Source = "https://github.com/ocrmypdf/OCRmyPDF"
Tracker = "https://github.com/ocrmypdf/OCRmyPDF/issues"
Changelog = "https://github.com/ocrmypdf/OCRmyPDF/docs/release_notes.md"
[project.optional-dependencies]
docs = ["sphinx", "sphinx-issues", "sphinx-rtd-theme"]
extended_test = ["PyMuPDF>=1.19.1"]
test = [
"coverage[toml]>=6.2",
"hypothesis>=6.36.0",
"pytest>=6.2.5",
"pytest-cov>=3.0.0",
"pytest-xdist>=2.5.0",
"python-xmp-toolkit==2.0.1", # also requires apt-get install libexempi3
"reportlab>=3.6.8",
"types-Pillow",
"types-humanfriendly",
]
watcher = ["watchdog>=1.0.2", "typer[all]", "python-dotenv"]
webservice = ["Flask>=2.0.1"]
# User-installable features - use `uv sync --extra <name>` or `pip install ocrmypdf[name]`
watcher = ["watchdog>=1.0.2", "cyclopts>=3", "python-dotenv"]
webservice = ["streamlit>=1.41.0"]
[project.scripts]
ocrmypdf = "ocrmypdf.__main__:run"
[tool.setuptools.package-data]
ocrmypdf = ["data/sRGB.icc", "py.typed"]
[tool.hatch.version]
source = "vcs"
[tool.setuptools.packages.find]
where = ["src"]
namespaces = false
[tool.setuptools_scm]
[tool.hatch.build.hooks.vcs]
version-file = "src/ocrmypdf/_version.py"
[tool.distutils.bdist_wheel]
python-tag = "py310"
[tool.black]
line-length = 88
target-version = ["py310", "py311", "py312"]
skip-string-normalization = true
include = '\.pyi?$'
exclude = '''
/(
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
| docs
| misc
| \.egg-info
)/
'''
python-tag = "py311"
[tool.coverage.run]
branch = true
@@ -127,7 +94,6 @@ exclude_lines = [
[tool.pytest.ini_options]
minversion = "6.0"
norecursedirs = ["lib", ".pc", ".git", "venv", "output", "cache", "resources"]
testpaths = ["tests"]
addopts = "-n auto"
markers = ["slow"]
@@ -142,8 +108,6 @@ filterwarnings = [
[[tool.mypy.overrides]]
module = [
'pluggy',
'tqdm',
'coloredlogs',
'img2pdf',
'pdfminer.*',
'reportlab.*',
@@ -153,26 +117,73 @@ module = [
ignore_missing_imports = true
[tool.ruff]
target-version = "py310"
target-version = "py311"
exclude = ["src/ocrmypdf/_version.py"] # Autogenerated
[tool.ruff.lint]
"select" = [
"D", # pydocstyle
"E", # pycodestyle
"W", # pycodestyle
"F", # pyflakes
"I001", # isort
"UP", # pyupgrade
"D", # pydocstyle
"E", # pycodestyle
"W", # pycodestyle
"F", # pyflakes
"I", # isort
"UP", # pyupgrade
"SIM", # simplify
"B", # flake8-bugbear
"ICN", # flake8-import-conventions
]
ignore = [
"B028", # warning with no explicit stacklevel
# rule is key in dict instead of key in dict.keys(); but pikepdf semantics differ
"SIM118",
]
[tool.ruff.lint.isort]
known-first-party = ["ocrmypdf"]
required-imports = ["from __future__ import annotations"]
[tool.ruff.lint.flake8-import-conventions]
# Prohibit explicit imports from the 'datetime' module
banned-from = ["datetime"]
# Optionally, suggest an alias for 'import datetime' (e.g., as dt)
extend-aliases = { "datetime" = "dt" }
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.per-file-ignores]
"docs/conf.py" = ["D100", "D101", "D105"]
"tests/*.py" = ["D100", "D101", "D102", "D103", "D105"]
"tests/*.py" = ["D100", "D101", "D102", "D103", "D105", "E501"]
"misc/*.py" = ["D103", "D101", "D102"]
"src/ocrmypdf/builtin_plugins/*.py" = ["D103", "D102", "D105"]
[tool.ruff.format]
quote-style = "preserve"
[dependency-groups]
# Developer-only tools - use `uv sync --group <name>`
dev = ["mypy>=1.13.0", "ipykernel>=6.29.5", "reportlab>=4.4.4"]
test = [
# Core testing framework
"coverage[toml]>=6.2",
"hypothesis>=6.36.0",
"pytest>=6.2.5",
"pytest-cov>=3.0.0",
"pytest-xdist>=2.5.0",
# Test dependencies
"python-xmp-toolkit==2.0.1", # also requires apt-get install libexempi3
"reportlab>=3.6.8",
# Type stubs for testing
"types-Pillow",
"types-humanfriendly",
# Extended test capabilities (merged from extended_test)
"pymupdf>=1.24.14",
]
docs = [
"myst-parser>=4.0.1",
"sphinx",
"sphinx-issues",
"sphinx-rtd-theme",
"sphinxcontrib-mermaid",
]
streamlit-dev = ["streamlit>=1.40.2", "streamlit-pdf-viewer>=0.0.19"]
+231
View File
@@ -0,0 +1,231 @@
#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Generate the Occulta glyphless font for OCRmyPDF.
Occulta (Latin for "hidden") is a glyphless font designed for invisible text layers
in searchable PDFs. It has proper Unicode cmap coverage using format 13 (many-to-one)
for efficient mapping of all BMP codepoints to a small set of width-specific glyphs.
Features:
- Full BMP coverage (U+0000 to U+FFFF)
- Width-aware glyphs for proper text selection:
- Zero-width for combining marks and invisible characters
- Regular width (500 units) for Latin, Greek, Cyrillic, Arabic, Hebrew, etc.
- Double width (1000 units) for CJK and fullwidth characters
- Uses cmap format 13 (many-to-one) for ~12KB size vs ~780KB with format 12
- Compatible with fpdf2 and other modern PDF libraries
Usage:
python scripts/generate_glyphless_font.py
Output:
src/ocrmypdf/data/Occulta.ttf
"""
from __future__ import annotations
import unicodedata
from pathlib import Path
from fontTools.fontBuilder import FontBuilder
from fontTools.ttLib import TTFont
from fontTools.ttLib.tables._c_m_a_p import CmapSubtable
from fontTools.ttLib.tables._g_l_y_f import Glyph
# Output path relative to this script
OUTPUT_PATH = Path(__file__).parent.parent / "src" / "ocrmypdf" / "data" / "Occulta.ttf"
# Font metrics (units per em = 1000)
UNITS_PER_EM = 1000
ASCENT = 800
DESCENT = -200
# Glyph definitions: (name, advance_width, left_side_bearing)
GLYPHS = [
(".notdef", 500, 0), # Required, used for unmapped characters
("space", 500, 0), # U+0020 SPACE
("nbspace", 500, 0), # U+00A0 NO-BREAK SPACE
("blank0", 0, 0), # Zero-width (combining marks, ZWNJ, ZWJ, BOM)
("blank1", 500, 0), # Regular width (most scripts)
("blank2", 1000, 0), # Double width (CJK, fullwidth)
]
# Explicit zero-width character codepoints
ZERO_WIDTH_CHARS = frozenset(
[
0x200B, # ZERO WIDTH SPACE
0x200C, # ZERO WIDTH NON-JOINER
0x200D, # ZERO WIDTH JOINER
0xFEFF, # ZERO WIDTH NO-BREAK SPACE (BOM)
0x200E, # LEFT-TO-RIGHT MARK
0x200F, # RIGHT-TO-LEFT MARK
0x202A, # LEFT-TO-RIGHT EMBEDDING
0x202B, # RIGHT-TO-LEFT EMBEDDING
0x202C, # POP DIRECTIONAL FORMATTING
0x202D, # LEFT-TO-RIGHT OVERRIDE
0x202E, # RIGHT-TO-LEFT OVERRIDE
0x2060, # WORD JOINER
0x2061, # FUNCTION APPLICATION
0x2062, # INVISIBLE TIMES
0x2063, # INVISIBLE SEPARATOR
0x2064, # INVISIBLE PLUS
]
)
def classify_codepoint(codepoint: int) -> str:
"""Classify a Unicode codepoint into one of our glyph categories.
Args:
codepoint: Unicode codepoint (0x0000 to 0xFFFF)
Returns:
Glyph name to map this codepoint to
"""
# Special cases first
if codepoint == 0x0020:
return "space"
if codepoint == 0x00A0:
return "nbspace"
if codepoint in ZERO_WIDTH_CHARS:
return "blank0"
# Use Unicode properties for the rest
char = chr(codepoint)
try:
category = unicodedata.category(char)
east_asian_width = unicodedata.east_asian_width(char)
# Combining marks are zero-width
if category.startswith("M"):
return "blank0"
# Wide and Fullwidth characters are double-width
if east_asian_width in ("W", "F"):
return "blank2"
# Everything else is regular width
return "blank1"
except (ValueError, TypeError):
# Fallback for any edge cases
return "blank1"
def build_cmap() -> dict[int, str]:
"""Build the Unicode to glyph name mapping for the entire BMP.
Returns:
Dictionary mapping codepoints to glyph names
"""
return {cp: classify_codepoint(cp) for cp in range(0x10000)}
def create_font() -> TTFont:
"""Create the Occulta glyphless font.
Returns:
TTFont object ready to be saved
"""
glyph_names = [g[0] for g in GLYPHS]
# Start building the font
fb = FontBuilder(UNITS_PER_EM, isTTF=True)
fb.setupGlyphOrder(glyph_names)
# Create empty (invisible) glyphs
glyphs = {}
for name, _, _ in GLYPHS:
glyph = Glyph()
glyph.numberOfContours = 0
glyphs[name] = glyph
fb.setupGlyf(glyphs)
# Set up horizontal metrics
metrics = {name: (width, lsb) for name, width, lsb in GLYPHS}
fb.setupHorizontalMetrics(metrics)
# Minimal cmap to satisfy FontBuilder (we'll replace it later)
fb.setupCharacterMap({0x0020: "space", 0x00A0: "nbspace"})
# Set up other required tables
fb.setupHorizontalHeader(ascent=ASCENT, descent=DESCENT)
fb.setupOS2(
sTypoAscender=ASCENT,
sTypoDescender=DESCENT,
sTypoLineGap=0,
usWinAscent=UNITS_PER_EM,
usWinDescent=abs(DESCENT),
sxHeight=500,
sCapHeight=700,
)
import time
# Use current time for font timestamps
now = int(time.time())
fb.setupHead(unitsPerEm=UNITS_PER_EM, created=now, modified=now)
fb.setupPost()
fb.setupNameTable(
{
"familyName": "Occulta",
"styleName": "Regular",
"uniqueFontIdentifier": "OCRmyPDF;Occulta-Regular;2026",
"fullName": "Occulta Regular",
"version": "Version 2.0",
"psName": "Occulta-Regular",
}
)
# Build the font
font = fb.font
# Now replace the cmap with format 13 for efficient many-to-one mapping
char_to_glyph = build_cmap()
cmap13 = CmapSubtable.newSubtable(13)
cmap13.platformID = 3 # Windows
cmap13.platEncID = 10 # Unicode full repertoire
cmap13.language = 0
cmap13.cmap = char_to_glyph
font["cmap"].tables = [cmap13]
return font
def main() -> None:
"""Generate the Occulta font and save it."""
print("Generating Occulta glyphless font...")
font = create_font()
# Create output directory if needed
OUTPUT_PATH.parent.mkdir(parents=True, exist_ok=True)
# Save the font
font.save(str(OUTPUT_PATH))
font.close()
# Report statistics
size = OUTPUT_PATH.stat().st_size
print(f"Saved to: {OUTPUT_PATH}")
print(f"Size: {size:,} bytes")
# Verify cmap
font = TTFont(str(OUTPUT_PATH))
for table in font["cmap"].tables:
print(
f"cmap: Platform {table.platformID}, "
f"Encoding {table.platEncID}, "
f"Format {table.format}, "
f"{len(table.cmap)} mappings"
)
font.close()
print("Done!")
if __name__ == "__main__":
main()
+8 -13
View File
@@ -5,7 +5,7 @@
name: ocrmypdf
title: OCRmyPDF
base: core22
base: core24
version: git
summary: OCRmyPDF adds a searchable text layer to scanned PDF files
description: OCRmyPDF packaged for snap
@@ -14,12 +14,13 @@ confinement: strict
icon: docs/images/logo-square-256.svg
license: MPL-2.0
architectures: [amd64]
platforms:
amd64:
environment:
TESSDATA_PREFIX: $SNAP/usr/share/tesseract-ocr/4.00/tessdata
GS_LIB: $SNAP/usr/share/ghostscript/9.55/Resource/Init
GS_FONTPATH: $SNAP/usr/share/ghostscript/9.55/Resource/Font
TESSDATA_PREFIX: $SNAP/usr/share/tesseract-ocr/5/tessdata
GS_LIB: $SNAP/usr/share/ghostscript/10.02.1/Resource/Init
GS_FONTPATH: $SNAP/usr/share/ghostscript/10.02.1/Resource/Font
LD_LIBRARY_PATH: $SNAP/usr/lib/x86_64-linux-gnu
apps:
@@ -84,11 +85,5 @@ parts:
- wheel
override-build: |
pip3 install --user dephell[full]
$HOME/.local/bin/dephell deps convert \
--from-path pyproject.toml \
--from-format pyproject \
--to-path setup.py \
--to-format setuppy
snapcraftctl build
ln -sf ../usr/lib/libsnapcraft-preload.so $SNAPCRAFT_PART_INSTALL/lib/libsnapcraft-preload.so
craftctl default
ln -sf ../usr/lib/libsnapcraft-preload.so $CRAFT_PART_INSTALL/lib/libsnapcraft-preload.so
+17 -2
View File
@@ -9,11 +9,13 @@ from pluggy import HookimplMarker as _HookimplMarker
from ocrmypdf import helpers, hocrtransform, pdfa, pdfinfo
from ocrmypdf._concurrent import Executor
from ocrmypdf._defaults import PROGRAM_NAME
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._options import OcrOptions, TaggedPdfMode
from ocrmypdf._pipelines._common import (
configure_debug_logging,
)
from ocrmypdf._version import PROGRAM_NAME, __version__
from ocrmypdf._version import __version__
from ocrmypdf.api import (
Verbosity,
configure_logging,
@@ -33,14 +35,22 @@ from ocrmypdf.exceptions import (
TesseractConfigError,
UnsupportedImageFormatError,
)
from ocrmypdf.models.ocr_element import (
Baseline,
BoundingBox,
FontInfo,
OcrClass,
OcrElement,
)
from ocrmypdf.pluginspec import OcrEngine, OrientationConfidence
hookimpl = _HookimplMarker('ocrmypdf')
__all__ = [
'__version__',
'BadArgsError',
'Baseline',
'BoundingBox',
'configure_debug_logging',
'configure_logging',
'DpiError',
@@ -48,13 +58,17 @@ __all__ = [
'Executor',
'ExitCode',
'ExitCodeException',
'FontInfo',
'helpers',
'hocrtransform',
'hookimpl',
'InputFileError',
'MissingDependencyError',
'ocr',
'OcrClass',
'OcrElement',
'OcrEngine',
'OcrOptions',
'OrientationConfidence',
'OutputFileAccessError',
'PageContext',
@@ -64,6 +78,7 @@ __all__ = [
'PriorOcrFoundError',
'PROGRAM_NAME',
'SubprocessOutputError',
'TaggedPdfMode',
'TesseractConfigError',
'UnsupportedImageFormatError',
'Verbosity',
+5 -4
View File
@@ -15,9 +15,9 @@ from contextlib import suppress
from ocrmypdf import __version__
from ocrmypdf._pipelines.ocr import run_pipeline_cli
from ocrmypdf._plugin_manager import get_parser_options_plugins
from ocrmypdf._validation import check_options
from ocrmypdf.api import Verbosity, configure_logging
from ocrmypdf.cli import get_options_and_plugins
from ocrmypdf.exceptions import (
BadArgsError,
ExitCode,
@@ -39,7 +39,7 @@ def sigbus(*args):
def run(args=None):
"""Run the ocrmypdf command line interface."""
_parser, options, plugin_manager = get_parser_options_plugins(args=args)
options, plugin_manager = get_options_and_plugins(args=args)
with suppress(AttributeError, PermissionError):
os.nice(5)
@@ -78,6 +78,7 @@ def run(args=None):
if __name__ == '__main__':
multiprocessing.freeze_support()
if os.name == 'posix':
multiprocessing.set_start_method('forkserver')
if sys.platform not in ('win32', 'darwin'):
with suppress(RuntimeError):
multiprocessing.set_start_method('forkserver')
sys.exit(run())
+66
View File
@@ -0,0 +1,66 @@
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""OCRmyPDF PDF annotation cleanup."""
from __future__ import annotations
import logging
from pikepdf import Dictionary, Name, NameTree, Pdf
log = logging.getLogger(__name__)
def remove_broken_goto_annotations(pdf: Pdf) -> bool:
"""Remove broken goto annotations from a PDF.
If a PDF contains a GoTo Action that points to a named destination that does not
exist, Ghostscript PDF/A conversion will fail. In any event, a named destination
that is not defined is not useful.
Args:
pdf: Opened PDF file.
Returns:
bool: True if the file was modified, False if not.
"""
modified = False
# Check if there are any named destinations
if Name.Names not in pdf.Root:
return modified
if Name.Dests not in pdf.Root[Name.Names]:
return modified
dests = pdf.Root[Name.Names][Name.Dests]
if not isinstance(dests, Dictionary):
return modified
nametree = NameTree(dests)
# Create a set of all named destinations
names = set(k for k in nametree.keys())
for n, page in enumerate(pdf.pages):
if Name.Annots not in page:
continue
for annot in page[Name.Annots]:
if not isinstance(annot, Dictionary):
continue
if Name.A not in annot or Name.D not in annot[Name.A]:
continue
# We found an annotation that points to a named destination
named_destination = str(annot[Name.A][Name.D])
if named_destination not in names:
# If there is no corresponding named destination, remove the
# annotation. Having no destination set is still valid and just
# makes the link non-functional.
log.warning(
f"Disabling a hyperlink annotation on page {n + 1} to a "
"non-existent named destination "
f"{named_destination}."
)
del annot[Name.A][Name.D]
modified = True
return modified
+3 -3
View File
@@ -15,7 +15,7 @@ from ocrmypdf._progressbar import NullProgressBar, ProgressBar
T = TypeVar('T')
def _task_noop(*_args, **_kwargs):
def _task_noop(*_args, **_kwargs) -> None:
return
@@ -101,8 +101,8 @@ class Executor(ABC):
def setup_executor(plugin_manager) -> Executor:
pbar_class = plugin_manager.hook.get_progressbar_class()
return plugin_manager.hook.get_executor(progressbar_class=pbar_class)
pbar_class = plugin_manager.get_progressbar_class()
return plugin_manager.get_executor(progressbar_class=pbar_class)
class SerialExecutor(Executor):
+12
View File
@@ -0,0 +1,12 @@
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
# Enforce English hegemony
from __future__ import annotations
DEFAULT_LANGUAGE = 'eng'
# Default rotation threshold
DEFAULT_ROTATE_PAGES_THRESHOLD = 14.0
PROGRAM_NAME = 'OCRmyPDF'
+88 -19
View File
@@ -9,7 +9,6 @@ import logging
import os
import re
from collections import deque
from io import BytesIO
from os import fspath
from pathlib import Path
from subprocess import PIPE, CalledProcessError
@@ -17,8 +16,13 @@ from subprocess import PIPE, CalledProcessError
from packaging.version import Version
from PIL import Image, UnidentifiedImageError
from ocrmypdf.exceptions import ColorConversionNeededError, SubprocessOutputError
from ocrmypdf.exceptions import (
ColorConversionNeededError,
InputFileError,
SubprocessOutputError,
)
from ocrmypdf.helpers import Resolution
from ocrmypdf.pluginspec import GhostscriptRasterDevice
from ocrmypdf.subprocess import get_version, run, run_polling_stderr
COLOR_CONVERSION_STRATEGIES = frozenset(
@@ -95,23 +99,50 @@ def rasterize_pdf(
input_file: os.PathLike,
output_file: os.PathLike,
*,
raster_device: str,
raster_device: GhostscriptRasterDevice,
raster_dpi: Resolution,
pageno: int = 1,
page_dpi: Resolution | None = None,
rotation: int | None = None,
filter_vector: bool = False,
stop_on_error: bool = False,
use_cropbox: bool = False,
):
"""Rasterize one page of a PDF at resolution raster_dpi in canvas units."""
"""Rasterize one page of a PDF at resolution raster_dpi in canvas units.
Args:
input_file: The PDF file to rasterize.
output_file: The file to write the rasterized PDF to.
raster_device: The Ghostscript raster device to use to rasterize the PDF.
raster_dpi: Resolution in dots per inch at which to rasterize page.
pageno: Page number to rasterize (beginning at page 1).
page_dpi: Resolution, overriding output image DPI.
rotation: Cardinal angle, clockwise, to rotate page.
filter_vector: If True, remove vector graphics objects.
stop_on_error: If True, stop rasterizing on the first error.
use_cropbox: If True, rasterize the CropBox instead of MediaBox.
Default is False (use MediaBox).
"""
raster_dpi = raster_dpi.round(6)
if not page_dpi:
page_dpi = raster_dpi
# Ghostscript may fail with very low DPI values (below 10). If the requested
# DPI is too low, use a minimum of 10 DPI and resize the output afterward.
MIN_RASTER_DPI = 10
needs_low_dpi_resize = (
raster_dpi.x < MIN_RASTER_DPI or raster_dpi.y < MIN_RASTER_DPI
)
if needs_low_dpi_resize:
effective_dpi = Resolution(
max(raster_dpi.x, MIN_RASTER_DPI), max(raster_dpi.y, MIN_RASTER_DPI)
)
else:
effective_dpi = raster_dpi
args_gs = (
[
GS,
'-dQUIET',
'-dSAFER',
'-dBATCH',
'-dNOPAUSE',
@@ -119,13 +150,14 @@ def rasterize_pdf(
f'-sDEVICE={raster_device}',
f'-dFirstPage={pageno}',
f'-dLastPage={pageno}',
f'-r{raster_dpi.x:f}x{raster_dpi.y:f}',
f'-r{effective_dpi.x:f}x{effective_dpi.y:f}',
]
+ (['-dUseCropBox'] if use_cropbox else [])
+ (['-dFILTERVECTOR'] if filter_vector else [])
+ (['-dPDFSTOPONERROR'] if stop_on_error else [])
+ [
'-o',
'-',
fspath(output_file),
'-sstdout=%stderr', # Literal %s, not string interpolation
'-dAutoRotatePages=/None', # Probably has no effect on raster
'-f',
@@ -137,14 +169,33 @@ def rasterize_pdf(
p = run(args_gs, stdout=PIPE, stderr=PIPE, check=True)
except CalledProcessError as e:
log.error(e.stderr.decode(errors='replace'))
raise SubprocessOutputError('Ghostscript rasterizing failed') from e
else:
stderr = p.stderr.decode(errors='replace')
if _gs_error_reported(stderr):
log.error(stderr)
Path(output_file).unlink(missing_ok=True)
raise SubprocessOutputError("Ghostscript rasterizing failed") from e
stderr = p.stderr.decode(errors='replace')
if _gs_error_reported(stderr):
log.error(stderr)
if stop_on_error and "recoverable image error" in stderr:
Path(output_file).unlink(missing_ok=True)
raise InputFileError(
"Ghostscript rasterizing failed. The input file contains errors that "
"cause PDF viewers to interpret it differently and incorrectly. "
"Try using --continue-on-soft-render-error and manually inspect the "
"input and output files to check for visual differences or errors."
)
try:
with Image.open(BytesIO(p.stdout)) as im:
with Image.open(output_file) as im:
if needs_low_dpi_resize:
# Resize to the dimensions that would have resulted from the
# original low DPI request
scale_x = raster_dpi.x / effective_dpi.x
scale_y = raster_dpi.y / effective_dpi.y
new_size = (
max(1, int(round(im.width * scale_x))),
max(1, int(round(im.height * scale_y))),
)
im = im.resize(new_size, Image.Resampling.LANCZOS)
if rotation is not None:
log.debug("Rotating output by %i", rotation)
# rotation is a clockwise angle and Image.ROTATE_* is
@@ -157,13 +208,19 @@ def rasterize_pdf(
im = im.transpose(Image.Transpose.ROTATE_270)
if rotation % 180 == 90:
page_dpi = page_dpi.flip_axis()
im.save(fspath(output_file), dpi=page_dpi)
im.save(output_file, dpi=page_dpi)
except UnidentifiedImageError:
log.error(
f"Ghostscript (using {raster_device} at {raster_dpi} dpi) produced "
"an invalid page image file."
)
raise
except OSError as e:
log.error(
f"Ghostscript (using {raster_device} at {raster_dpi} dpi) produced "
"an invalid page image file."
)
raise UnidentifiedImageError() from e
class GhostscriptFollower:
@@ -177,6 +234,17 @@ class GhostscriptFollower:
self.progressbar_class = progressbar_class
self.progressbar = None
def __enter__(self):
# We can't actually set up the progressbar here, because we don't know
# how many pages there are until the first __call__() happens. So we
# do it in __call__().
return self
def __exit__(self, exc_type, exc_value, traceback):
if self.progressbar:
return self.progressbar.__exit__(exc_type, exc_value, traceback)
return False
def __call__(self, line):
if not self.progressbar_class:
return
@@ -187,7 +255,8 @@ class GhostscriptFollower:
self.progressbar = self.progressbar_class(
total=self.count, desc="PDF/A conversion", unit='page'
)
return
# Now that we know the count, we can set up the progressbar.
self.progressbar.__enter__()
else:
if self.re_page.match(line.strip()):
self.progressbar.update()
@@ -256,25 +325,25 @@ def generate_pdfa(
+ compression_args
+ [
"-dJPEGQ=95",
"-dSubsetFonts=false", # Prevents GS from messing up some encodings
f"-dPDFA={pdfa_part}",
"-dPDFACompatibilityPolicy=1",
"-o",
"-",
fspath(output_file),
"-sstdout=%stderr", # Literal %s, not string interpolation
]
)
args_gs.extend(fspath(s) for s in pdf_pages) # Stringify Path objs
try:
with Path(output_file).open('wb') as output:
with GhostscriptFollower(progressbar_class) as pbar:
p = run_polling_stderr(
args_gs,
stdout=output,
stderr=PIPE,
check=True,
text=True,
encoding='utf-8',
errors='replace',
callback=GhostscriptFollower(progressbar_class),
callback=pbar,
)
except CalledProcessError as e:
# Ghostscript does not change return code when it fails to create
+8 -20
View File
@@ -5,7 +5,7 @@
from __future__ import annotations
from subprocess import PIPE
from subprocess import PIPE, CalledProcessError
from packaging.version import Version
@@ -14,7 +14,13 @@ from ocrmypdf.subprocess import get_version, run
def version() -> Version:
return Version(get_version('jbig2', regex=r'jbig2enc (\d+(\.\d+)*).*'))
try:
version = get_version('jbig2', regex=r'jbig2enc (\d+(\.\d+)*).*')
except CalledProcessError as e:
# TeX Live for Windows provides an incompatible jbig2.EXE which may
# be on the PATH.
raise MissingDependencyError('jbig2enc') from e
return Version(version)
def available():
@@ -25,24 +31,6 @@ def available():
return True
def convert_group(cwd, infiles, out_prefix, threshold):
args = [
'jbig2',
'-b',
out_prefix,
'--symbol-mode', # symbol mode (lossy)
'-t',
str(threshold), # threshold
# '-r', # refinement mode (lossless symbol mode, currently disabled in
# jbig2)
'--pdf',
]
args.extend(infiles)
proc = run(args, cwd=cwd, stdout=PIPE, stderr=PIPE)
proc.check_returncode()
return proc
def convert_single(cwd, infile, outfile, threshold):
args = ['jbig2', '--pdf', '-t', str(threshold), infile]
with open(outfile, 'wb') as fstdout:
+95 -24
View File
@@ -6,8 +6,10 @@
from __future__ import annotations
import logging
import os
import re
from contextlib import suppress
from enum import IntEnum
from math import pi
from os import fspath
from pathlib import Path
@@ -26,11 +28,30 @@ from ocrmypdf.subprocess import get_version, run
log = logging.getLogger(__name__)
def _tesseract_env(omp_thread_limit: int | None) -> dict[str, str] | None:
"""Create environment dict with OMP_THREAD_LIMIT set for Tesseract subprocesses."""
if omp_thread_limit is None:
return None
env = os.environ.copy()
env['OMP_THREAD_LIMIT'] = str(omp_thread_limit)
return env
class ThresholdingMethod(IntEnum):
"""Tesseract thresholding methods for image binarization."""
AUTO = 0
OTSU = 0 # Alias for AUTO - uses Tesseract's default (legacy Otsu)
ADAPTIVE_OTSU = 1
SAUVOLA = 2
# Legacy dictionary for backward compatibility
TESSERACT_THRESHOLDING_METHODS: dict[str, int] = {
'auto': 0,
'otsu': 0,
'adaptive-otsu': 1,
'sauvola': 2,
'auto': ThresholdingMethod.AUTO,
'otsu': ThresholdingMethod.OTSU,
'adaptive-otsu': ThresholdingMethod.ADAPTIVE_OTSU,
'sauvola': ThresholdingMethod.SAUVOLA,
}
@@ -155,7 +176,10 @@ def _parse_tesseract_output(binary_output: bytes) -> dict[str, str]:
def get_orientation(
input_file: Path, engine_mode: int | None, timeout: float
input_file: Path,
engine_mode: int | None,
timeout: float,
omp_thread_limit: int | None = None,
) -> OrientationConfidence:
args_tesseract = tess_base_args(['osd'], engine_mode) + [
'--psm',
@@ -165,15 +189,24 @@ def get_orientation(
]
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
p = run(
args_tesseract,
stdout=PIPE,
stderr=STDOUT,
timeout=timeout,
check=True,
env=_tesseract_env(omp_thread_limit),
)
except TimeoutExpired:
return OrientationConfidence(angle=0, confidence=0.0)
except CalledProcessError as e:
tesseract_log_output(e.stdout)
tesseract_log_output(e.stderr)
# Check both stdout (e.output) and stderr for known non-fatal messages
all_output = (e.output or b'') + (e.stderr or b'')
if (
b'Too few characters. Skipping this page' in e.output
or b'Image too large' in e.output
b'Too few characters. Skipping this page' in all_output
or b'Image too large' in all_output
):
return OrientationConfidence(0, 0)
raise SubprocessOutputError() from e
@@ -186,8 +219,24 @@ def get_orientation(
return orient_conf
def _is_empty_page_error(exc):
if b'Empty page!!' in exc.output: # Tesseract 4.x
return True
return exc.returncode == 1 and (
# Tesseract 5.0-5.4 or so
exc.output == b''
# Tesseract 5.5+
or exc.output.startswith(b"Error in boxClipToRectangle: box outside rectangle")
)
def get_deskew(
input_file: Path, languages: list[str], engine_mode: int | None, timeout: float
input_file: Path,
languages: list[str],
engine_mode: int | None,
timeout: float,
omp_thread_limit: int | None = None,
) -> float:
"""Gets angle to deskew this page, in degrees."""
args_tesseract = tess_base_args(languages, engine_mode) + [
@@ -198,17 +247,22 @@ def get_deskew(
]
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
p = run(
args_tesseract,
stdout=PIPE,
stderr=STDOUT,
timeout=timeout,
check=True,
env=_tesseract_env(omp_thread_limit),
)
except TimeoutExpired:
return 0.0
except CalledProcessError as e:
tesseract_log_output(e.stdout)
tesseract_log_output(e.stderr)
if b'Empty page!!' in e.output or (
e.output == b'' and e.returncode == 1
): # Not enough info for a skew angle - Tess 4 and 5 return different errors
if _is_empty_page_error(e):
# Not enough info for a skew angle
return 0.0
raise SubprocessOutputError() from e
parsed = _parse_tesseract_output(p.stdout)
@@ -220,7 +274,8 @@ def get_deskew(
def tesseract_log_output(stream: bytes) -> None:
tlog = TesseractLoggerAdapter(
log, extra=log.extra if hasattr(log, 'extra') else None # type: ignore
log,
extra=log.extra if hasattr(log, 'extra') else None, # type: ignore
)
if not stream:
@@ -232,9 +287,9 @@ def tesseract_log_output(stream: bytes) -> None:
lines = text.splitlines()
for line in lines:
if line.startswith("Tesseract Open Source"):
continue
elif line.startswith("Warning in pixReadMem"):
if line.startswith(
("Tesseract Open Source", "Warning in pixReadMem")
):
continue
elif 'diacritics' in line:
tlog.warning("lots of diacritics - possibly poor OCR")
@@ -283,9 +338,10 @@ def generate_hocr(
tessconfig: list[str],
timeout: float,
pagesegmode: int,
thresholding: int,
thresholding: ThresholdingMethod,
user_words,
user_patterns,
omp_thread_limit: int | None = None,
) -> None:
"""Generate a hOCR file, which must be converted to PDF."""
prefix = output_hocr.with_suffix('')
@@ -295,7 +351,7 @@ def generate_hocr(
if pagesegmode is not None:
args_tesseract.extend(['--psm', str(pagesegmode)])
if thresholding != 0 and has_thresholding():
if thresholding != ThresholdingMethod.AUTO and has_thresholding():
args_tesseract.extend(['-c', f'thresholding_method={thresholding}'])
if user_words:
@@ -309,7 +365,14 @@ def generate_hocr(
args_tesseract.extend([fspath(input_file), fspath(prefix), 'hocr', 'txt'])
args_tesseract.extend(tessconfig)
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
p = run(
args_tesseract,
stdout=PIPE,
stderr=STDOUT,
timeout=timeout,
check=True,
env=_tesseract_env(omp_thread_limit),
)
stdout = p.stdout
except TimeoutExpired:
# Generate a HOCR file with no recognized text if tesseract times out
@@ -349,9 +412,10 @@ def generate_pdf(
tessconfig: list[str],
timeout: float,
pagesegmode: int,
thresholding: int,
thresholding: ThresholdingMethod,
user_words,
user_patterns,
omp_thread_limit: int | None = None,
) -> None:
"""Generate a PDF using Tesseract's internal PDF generator.
@@ -365,7 +429,7 @@ def generate_pdf(
args_tesseract.extend(['-c', 'textonly_pdf=1'])
if thresholding != 0 and has_thresholding():
if thresholding != ThresholdingMethod.AUTO and has_thresholding():
args_tesseract.extend(['-c', f'thresholding_method={thresholding}'])
if user_words:
@@ -382,7 +446,14 @@ def generate_pdf(
args_tesseract.extend([fspath(input_file), fspath(prefix), 'pdf', 'txt'])
args_tesseract.extend(tessconfig)
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
p = run(
args_tesseract,
stdout=PIPE,
stderr=STDOUT,
timeout=timeout,
check=True,
env=_tesseract_env(omp_thread_limit),
)
stdout = p.stdout
with suppress(FileNotFoundError):
prefix.with_suffix('.txt').replace(output_text)
+1 -9
View File
@@ -7,7 +7,6 @@ from __future__ import annotations
import logging
import os
import shlex
from collections.abc import Iterator
from contextlib import contextmanager
from decimal import Decimal
@@ -48,7 +47,7 @@ class UnpaperImageTooLargeError(Exception):
def version() -> Version:
return Version(get_version('unpaper'))
return Version(get_version('unpaper', regex=r'(?m).*?(\d+(\.\d+)(\.\d+)?)'))
@contextmanager
@@ -101,13 +100,6 @@ def run_unpaper(
) from e
def validate_custom_args(args: str) -> list[str]:
unpaper_args = shlex.split(args)
if any(('/' in arg or arg == '.' or arg == '..') for arg in unpaper_args):
raise ValueError('No filenames allowed in --unpaper-args')
return unpaper_args
def clean(
input_file: Path,
output_file: Path,
+108
View File
@@ -0,0 +1,108 @@
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Interface to verapdf executable."""
from __future__ import annotations
import json
import logging
from pathlib import Path
from subprocess import PIPE
from typing import NamedTuple
from packaging.version import Version
from ocrmypdf.exceptions import MissingDependencyError
from ocrmypdf.subprocess import get_version, run
log = logging.getLogger(__name__)
class ValidationResult(NamedTuple):
"""Result of PDF/A validation."""
valid: bool
failed_rules: int
message: str
def version() -> Version:
"""Get verapdf version."""
return Version(get_version('verapdf', regex=r'veraPDF (\d+(\.\d+)*)'))
def available() -> bool:
"""Check if verapdf is available."""
try:
version()
except MissingDependencyError:
return False
return True
def output_type_to_flavour(output_type: str) -> str:
"""Map OCRmyPDF output_type to verapdf flavour.
Args:
output_type: One of 'pdfa', 'pdfa-1', 'pdfa-2', 'pdfa-3'
Returns:
verapdf flavour string like '1b', '2b', '3b'
"""
mapping = {
'pdfa': '2b',
'pdfa-1': '1b',
'pdfa-2': '2b',
'pdfa-3': '3b',
}
return mapping.get(output_type, '2b')
def validate(input_file: Path, flavour: str) -> ValidationResult:
"""Validate a PDF against a PDF/A profile.
Args:
input_file: Path to PDF file to validate
flavour: verapdf flavour (1a, 1b, 2a, 2b, 2u, 3a, 3b, 3u)
Returns:
ValidationResult with validation status
"""
args = [
'verapdf',
'--format',
'json',
'--flavour',
flavour,
str(input_file),
]
try:
proc = run(args, stdout=PIPE, stderr=PIPE, check=False)
except FileNotFoundError as e:
raise MissingDependencyError('verapdf') from e
try:
result = json.loads(proc.stdout)
jobs = result.get('report', {}).get('jobs', [])
if not jobs:
return ValidationResult(False, -1, 'No validation jobs in result')
validation_results = jobs[0].get('validationResult', [])
if not validation_results:
return ValidationResult(False, -1, 'No validation result in output')
validation_result = validation_results[0]
details = validation_result.get('details', {})
failed_rules = details.get('failedRules', 0)
if failed_rules == 0:
return ValidationResult(True, 0, 'PDF/A validation passed')
else:
return ValidationResult(
False,
failed_rules,
f'PDF/A validation failed with {failed_rules} rule violations',
)
except (json.JSONDecodeError, KeyError, TypeError) as e:
log.debug('Failed to parse verapdf output: %s', e)
return ValidationResult(False, -1, f'Failed to parse verapdf output: {e}')
+473 -193
View File
@@ -7,30 +7,155 @@ from __future__ import annotations
import logging
from contextlib import suppress
from dataclasses import dataclass
from enum import Enum
from pathlib import Path
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from ocrmypdf.hocrtransform import OcrElement
from pikepdf import (
Dictionary,
Matrix,
Name,
Operator,
Page,
Pdf,
PdfError,
Stream,
parse_content_stream,
unparse_content_stream,
)
from ocrmypdf._jobcontext import PdfContext
from ocrmypdf._options import ProcessingMode
from ocrmypdf._pipeline import VECTOR_PAGE_DPI
class RenderMode(Enum):
"""Controls where the OCR text layer is placed relative to page content.
ON_TOP: Text layer renders above page content (reserved for future use).
UNDERNEATH: Text layer renders below page content (current default behavior).
"""
ON_TOP = 0
UNDERNEATH = 1
@dataclass
class Fpdf2PageInfo:
"""Information needed to render and graft an fpdf2 page."""
pageno: int
hocr_path: Path
dpi: float
autorotate_correction: int
emplaced_page: bool
@dataclass
class Fpdf2ParsedPage:
"""Parsed page data ready for fpdf2 rendering."""
pageno: int
ocr_tree: OcrElement
dpi: float
autorotate_correction: int
emplaced_page: bool
# Alias for backward compatibility with plan documentation
Fpdf2DirectPage = Fpdf2ParsedPage
def _compute_text_misalignment(
content_rotation: int, autorotate_correction: int, emplaced_page: bool
) -> int:
"""Compute rotation needed to align text layer with page content.
Args:
content_rotation: Original page /Rotate value (degrees).
autorotate_correction: Rotation applied during rasterization (degrees).
emplaced_page: Whether the page content was replaced with rasterized image.
Returns:
Rotation in degrees to apply to text layer to align with content.
"""
if emplaced_page:
# New image is upright after autorotation was applied
content_rotation = autorotate_correction
text_rotation = autorotate_correction
return (text_rotation - content_rotation) % 360
def _compute_page_rotation(
content_rotation: int, autorotate_correction: int, emplaced_page: bool
) -> int:
"""Compute final page /Rotate value after grafting.
Args:
content_rotation: Original page /Rotate value (degrees).
autorotate_correction: Rotation applied during rasterization (degrees).
emplaced_page: Whether the page content was replaced with rasterized image.
Returns:
Final /Rotate value for the page.
"""
if emplaced_page:
content_rotation = autorotate_correction
return (content_rotation - autorotate_correction) % 360
def _build_text_layer_ctm(
text_width: float,
text_height: float,
page_width: float,
page_height: float,
page_origin_x: float,
page_origin_y: float,
text_rotation: int,
):
"""Build transformation matrix to align text layer with page content.
Args:
text_width: Width of text layer mediabox.
text_height: Height of text layer mediabox.
page_width: Width of target page mediabox.
page_height: Height of target page mediabox.
page_origin_x: X origin of target page mediabox.
page_origin_y: Y origin of target page mediabox.
text_rotation: Rotation in degrees (clockwise) to apply to text layer.
Returns:
pikepdf.Matrix transformation matrix, or None if no rotation needed.
"""
if text_rotation == 0:
return None
from pikepdf import Matrix
wt, ht = text_width, text_height
# Center text, rotate, scale to fit page, then position at page origin
translate = Matrix().translated(-wt / 2, -ht / 2)
untranslate = Matrix().translated(page_width / 2, page_height / 2)
corner = Matrix().translated(page_origin_x, page_origin_y)
# Negate rotation because input is clockwise angle
rotate = Matrix().rotated(-text_rotation % 360)
# Swap dimensions if 90 or 270 degree rotation
if text_rotation in (90, 270):
wt, ht = ht, wt
# Scale to fit page dimensions
scale_x = page_width / wt if wt else 1.0
scale_y = page_height / ht if ht else 1.0
scale = Matrix().scaled(scale_x, scale_y)
return translate @ rotate @ scale @ untranslate @ corner
log = logging.getLogger(__name__)
MAX_REPLACE_PAGES = 100
@@ -41,39 +166,32 @@ def _ensure_dictionary(obj: Dictionary | Stream, name: Name):
return obj[name]
def _update_resources(
*,
obj: Dictionary | Stream,
font: Dictionary | None,
font_key: Name | None,
):
"""Update this obj's fonts with a reference to the Glyphless font.
obj can be a page or Form XObject.
"""
resources = _ensure_dictionary(obj, Name.Resources)
fonts = _ensure_dictionary(resources, Name.Font)
if font_key is not None and font_key not in fonts:
fonts[font_key] = font
def strip_invisible_text(pdf: Pdf, page: Page):
stream = []
in_text_obj = False
render_mode = 0
render_mode_stack = []
text_objects = []
for operands, operator in parse_content_stream(page, ''):
if operator == Operator('Tr'):
render_mode = operands[0]
if operator == Operator('q'):
render_mode_stack.append(render_mode)
if operator == Operator('Q'):
# IndexError is raised if stack is empty; try to carry on
with suppress(IndexError):
render_mode = render_mode_stack.pop()
if not in_text_obj:
if operator == Operator('BT'):
in_text_obj = True
render_mode = 0
text_objects.append((operands, operator))
else:
stream.append((operands, operator))
else:
if operator == Operator('Tr'):
render_mode = operands[0]
text_objects.append((operands, operator))
if operator == Operator('ET'):
in_text_obj = False
@@ -93,27 +211,45 @@ class OcrGrafter:
self.path_base = context.origin
self.pdf_base = Pdf.open(self.path_base)
self.font: Dictionary | None = None
self.font_key: Name | None = None
self.pdfinfo = context.pdfinfo
self.output_file = context.get_path('graft_layers.pdf')
self.emplacements = 1
self.interim_count = 0
self.render_mode = RenderMode.UNDERNEATH
# Check renderer type
pdf_renderer = context.options.pdf_renderer
self.use_sandwich_renderer = pdf_renderer == 'sandwich'
# For fpdf2: accumulate pages before rendering
self.fpdf2_hocr_pages: list[Fpdf2PageInfo] = []
self.fpdf2_parsed_pages: list[Fpdf2ParsedPage] = []
def graft_page(
self,
*,
pageno: int,
image: Path | None,
textpdf: Path | None,
ocr_output: Path | None,
ocr_tree: OcrElement | None,
autorotate_correction: int,
):
if textpdf and not self.font:
self.font, self.font_key = self._find_font(textpdf)
"""Graft OCR output onto a page of the base PDF.
Args:
pageno: Zero-based page number.
image: Path to the visible page image PDF, or None if not replacing.
ocr_output: Path to OCR output file. For fpdf2 renderer this is an
hOCR file; for sandwich renderer this is a text-only PDF.
ocr_tree: OCR tree for fpdf2 renderer.
autorotate_correction: Orientation correction in degrees (0, 90, 180, 270).
"""
if ocr_output and ocr_tree:
raise ValueError(
'Cannot specify both ocr_output and ocr_tree for fpdf2 renderer'
)
# Handle image emplacement first
emplaced_page = False
content_rotation = self.pdfinfo[pageno].rotation
path_image = Path(image).resolve() if image else None
@@ -132,195 +268,339 @@ class OcrGrafter:
del self.pdf_base.pages[-1]
emplaced_page = True
# Calculate if the text is misaligned compared to the content
if emplaced_page:
content_rotation = autorotate_correction
text_rotation = autorotate_correction
text_misaligned = (text_rotation - content_rotation) % 360
log.debug(
f"Text rotation: (text, autorotate, content) -> text misalignment = "
f"({text_rotation}, {autorotate_correction}, {content_rotation}) -> "
f"{text_misaligned}"
)
if textpdf and self.font:
if self.font_key is None:
raise ValueError("Font key is not set")
# Graft the text layer onto this page, whether new or old, possibly
# rotating the text layer by the amount is misaligned.
strip_old = self.context.options.redo_ocr
self._graft_text_layer(
page_num=pageno + 1,
textpdf=textpdf,
font=self.font,
font_key=self.font_key,
text_rotation=text_misaligned,
strip_old_text=strip_old,
)
# Correct the overall page rotation if needed, now that the text and content
# are aligned
page_rotation = (content_rotation - autorotate_correction) % 360
self.pdf_base.pages[pageno].Rotate = page_rotation
log.debug(
f"Page rotation: (content, auto) -> page = "
f"({content_rotation}, {autorotate_correction}) -> {page_rotation}"
)
if self.emplacements % MAX_REPLACE_PAGES == 0:
self.save_and_reload()
def save_and_reload(self) -> None:
"""Save and reload the Pdf.
This will keep a lid on our memory usage for very large files. Attach
the font to page 1 even if page 1 doesn't use it, so we have a way to get it
back.
"""
page0 = self.pdf_base.pages[0]
_update_resources(obj=page0.obj, font=self.font, font_key=self.font_key)
# We cannot read and write the same file, that will corrupt it
# but we don't to keep more copies than we need to. Delete intermediates.
# {interim_count} is the opened file we were updating
# {interim_count - 1} can be deleted
# {interim_count + 1} is the new file will produce and open
old_file = self.output_file.with_suffix(f'.working{self.interim_count - 1}.pdf')
if not self.context.options.keep_temporary_files:
with suppress(FileNotFoundError):
old_file.unlink()
next_file = self.output_file.with_suffix(
f'.working{self.interim_count + 1}.pdf'
)
self.pdf_base.save(next_file)
self.pdf_base.close()
self.pdf_base = Pdf.open(next_file)
self.font, self.font_key = None, None # Ensure we reacquire this information
self.interim_count += 1
if self.use_sandwich_renderer:
# Sandwich renderer: graft pre-rendered PDF immediately
if ocr_output:
text_misaligned = _compute_text_misalignment(
content_rotation, autorotate_correction, emplaced_page
)
self._graft_sandwich_text_layer(
pageno=pageno,
textpdf=ocr_output,
text_rotation=text_misaligned,
)
page_rotation = _compute_page_rotation(
content_rotation, autorotate_correction, emplaced_page
)
self.pdf_base.pages[pageno].Rotate = page_rotation
else:
# fpdf2 renderer: accumulate page info for batch rendering.
# The hOCR coordinates are in the corrected (upright) coordinate system.
# We store autorotate_correction and emplaced_page to set the final
# page /Rotate tag after grafting.
if ocr_tree:
self.fpdf2_parsed_pages.append(
Fpdf2ParsedPage(
ocr_tree=ocr_tree,
pageno=pageno,
autorotate_correction=autorotate_correction,
emplaced_page=emplaced_page,
dpi=self.pdfinfo[pageno].dpi.to_scalar(),
)
)
if ocr_output:
self.fpdf2_hocr_pages.append(
Fpdf2PageInfo(
hocr_path=ocr_output,
pageno=pageno,
autorotate_correction=autorotate_correction,
emplaced_page=emplaced_page,
dpi=self.pdfinfo[pageno].dpi.to_scalar(),
)
)
def finalize(self):
# Can have hocr OR parsed pages OR neither (no OCR), but not both
assert not (
self.fpdf2_hocr_pages and self.fpdf2_parsed_pages
), "Can't have both hocr and ocrtree pages"
if self.fpdf2_hocr_pages:
# Render all pages with fpdf2, then graft
parsed_pages = self._parse_hocr_pages()
self.fpdf2_parsed_pages = parsed_pages
if self.fpdf2_parsed_pages:
self._render_and_graft_fpdf2_pages()
self.pdf_base.save(self.output_file)
self.pdf_base.close()
return self.output_file
def _find_font(self, text: Path) -> tuple[Dictionary | None, Name | None]:
"""Copy a font from the filename text into pdf_base."""
font, font_key = None, None
possible_font_names = ('/f-0-0', '/F1')
try:
with Pdf.open(text) as pdf_text:
try:
pdf_text_fonts = pdf_text.pages[0].Resources.get(
Name.Font, Dictionary()
)
except (AttributeError, IndexError, KeyError):
return None, None
if not isinstance(pdf_text_fonts, Dictionary):
log.warning("Page fonts are not stored in a dictionary")
return None, None
pdf_text_font = None
for f in possible_font_names:
pdf_text_font = pdf_text_fonts.get(f, None)
if pdf_text_font is not None:
font_key = Name(f)
break
if pdf_text_font:
font = self.pdf_base.copy_foreign(pdf_text_font)
if not isinstance(font, Dictionary):
log.warning("Font is not a dictionary")
font, font_key = None, None
return font, font_key
except (FileNotFoundError, PdfError):
# PdfError occurs if a 0-length file is written e.g. due to OCR timeout
return None, None
def _parse_hocr_pages(self):
"""Render all pages to multi-page PDF with shared fonts, then graft."""
from ocrmypdf.hocrtransform.hocr_parser import HocrParser
def _graft_text_layer(
log.info(
"Parsing %d pages with HocrParser",
len(self.fpdf2_hocr_pages),
)
# Parse all hOCR files and collect OcrElements
pages_data: list[Fpdf2ParsedPage] = []
for page_info in self.fpdf2_hocr_pages:
if page_info.hocr_path.stat().st_size == 0:
continue # Skip empty pages
# Parse hOCR to OcrElement
parser = HocrParser(page_info.hocr_path)
ocr_tree = parser.parse()
# Use DPI from hOCR (scan_res) which reflects actual rasterization DPI.
# Fall back to pdfinfo DPI or VECTOR_PAGE_DPI for vector-only pages.
effective_dpi = ocr_tree.dpi or page_info.dpi or float(VECTOR_PAGE_DPI)
pages_data.append(
Fpdf2ParsedPage(
pageno=page_info.pageno,
ocr_tree=ocr_tree,
dpi=effective_dpi,
autorotate_correction=page_info.autorotate_correction,
emplaced_page=page_info.emplaced_page,
)
)
return pages_data
def _render_and_graft_fpdf2_pages(self):
font_dir = Path(__file__).parent / "data"
# Render all pages to single PDF
multi_page_pdf_path = self.context.get_path('fpdf2_multipage.pdf')
from ocrmypdf.font import MultiFontManager
from ocrmypdf.fpdf_renderer import Fpdf2MultiPageRenderer
multi_font_manager = MultiFontManager(font_dir)
# Build renderer input as (pageno, ocr_tree, dpi) tuples
renderer_pages_data = [
(parsed.pageno, parsed.ocr_tree, parsed.dpi)
for parsed in self.fpdf2_parsed_pages
]
renderer = Fpdf2MultiPageRenderer(
pages_data=renderer_pages_data,
multi_font_manager=multi_font_manager,
invisible_text=True,
)
renderer.render(multi_page_pdf_path)
# Now graft each page from the multi-page PDF
with Pdf.open(multi_page_pdf_path) as pdf_text:
for idx, parsed in enumerate(self.fpdf2_parsed_pages):
# Copy page from multi-page PDF
text_page = pdf_text.pages[idx]
content_rotation = self.pdfinfo[parsed.pageno].rotation
text_misaligned = _compute_text_misalignment(
content_rotation,
parsed.autorotate_correction,
parsed.emplaced_page,
)
self._graft_fpdf2_text_layer(parsed.pageno, text_page, text_misaligned)
page_rotation = _compute_page_rotation(
content_rotation,
parsed.autorotate_correction,
parsed.emplaced_page,
)
self.pdf_base.pages[parsed.pageno].Rotate = page_rotation
# Clean up multi-page PDF if not keeping temp files
if not self.context.options.keep_temporary_files:
with suppress(FileNotFoundError):
multi_page_pdf_path.unlink()
def _graft_fpdf2_text_layer(self, pageno: int, text_page: Page, text_rotation: int):
"""Graft a single text page onto the base PDF.
Similar to existing _graft_text_layer but works with
already-rendered pikepdf Page instead of file path.
Args:
pageno: Zero-based page number.
text_page: The text-only PDF page to graft.
text_rotation: Rotation to apply to align text with content (degrees).
"""
from pikepdf import Array
base_page = self.pdf_base.pages[pageno]
# Extract content stream from text_page
text_contents = text_page.Contents.read_bytes()
# Get the mediabox from the text page
mediabox = Array([float(x) for x in text_page.mediabox]) # type: ignore[misc]
wt = float(mediabox[2]) - float(mediabox[0])
ht = float(mediabox[3]) - float(mediabox[1])
# Get base page mediabox
base_mediabox = base_page.mediabox
wp = float(base_mediabox[2]) - float(base_mediabox[0])
hp = float(base_mediabox[3]) - float(base_mediabox[1])
# Create Form XObject from text page content
base_resources = _ensure_dictionary(base_page.obj, Name.Resources)
base_xobjs = _ensure_dictionary(base_resources, Name.XObject)
text_xobj_name = Name.random(prefix="OCR-")
xobj = self.pdf_base.make_stream(text_contents)
base_xobjs[text_xobj_name] = xobj
xobj.Type = Name.XObject
xobj.Subtype = Name.Form
xobj.FormType = 1
xobj.BBox = base_mediabox
# Copy resources from text page's Resources to xobj
# We need to handle this carefully since text_page is from a foreign PDF
if hasattr(text_page, 'Resources') and text_page.Resources:
# Create empty Resources dictionary for xobj
xobj_resources = _ensure_dictionary(xobj, Name.Resources)
# Copy fonts if they exist
if Name.Font in text_page.Resources:
xobj_fonts = _ensure_dictionary(xobj_resources, Name.Font)
text_fonts = text_page.Resources[Name.Font]
# Copy each font from the foreign PDF
for font_name, font_obj in text_fonts.items():
xobj_fonts[font_name] = self.pdf_base.copy_foreign(font_obj)
# Copy ExtGState (graphics state) if it exists - needed for transparency
if Name.ExtGState in text_page.Resources:
xobj_extstates = _ensure_dictionary(xobj_resources, Name.ExtGState)
text_extstates = text_page.Resources[Name.ExtGState]
# Copy each graphics state from the foreign PDF
for gs_name, gs_obj in text_extstates.items():
xobj_extstates[gs_name] = self.pdf_base.copy_foreign(gs_obj)
# Build transformation matrix for rotation and scaling
ctm = _build_text_layer_ctm(
wt,
ht,
wp,
hp,
float(base_mediabox[0]),
float(base_mediabox[1]),
text_rotation,
)
if ctm is not None:
pdf_draw_xobj = (
(b'q %s cm\n' % ctm.encode()) + (b'%s Do\n' % text_xobj_name) + b'Q\n'
)
else:
pdf_draw_xobj = b'q\n' + (b'%s Do\n' % text_xobj_name) + b'\nQ\n'
new_text_layer = Stream(self.pdf_base, pdf_draw_xobj)
# Strip old invisible text if redo mode is enabled
if self.context.options.mode == ProcessingMode.redo:
strip_invisible_text(self.pdf_base, base_page)
# Add text layer to base page
base_page.contents_coalesce()
base_page.contents_add(
new_text_layer, prepend=self.render_mode == RenderMode.UNDERNEATH
)
base_page.contents_coalesce()
def _graft_sandwich_text_layer(
self,
*,
page_num: int,
pageno: int,
textpdf: Path,
font: Dictionary,
font_key: Name,
text_rotation: int,
strip_old_text: bool,
):
"""Insert the text layer from text page 0 on to pdf_base at page_num."""
# pylint: disable=invalid-name
"""Graft a pre-rendered text-only PDF onto the base PDF.
log.debug("Grafting")
This is used by the sandwich renderer which generates PDFs directly
from Tesseract rather than going through hOCR.
"""
from pikepdf import PdfError
log.debug("Grafting sandwich text layer")
if Path(textpdf).stat().st_size == 0:
return
# This is a pointer indicating a specific page in the base file
with Pdf.open(textpdf) as pdf_text:
pdf_text_contents = pdf_text.pages[0].Contents.read_bytes()
try:
with Pdf.open(textpdf) as pdf_text:
pdf_text_contents = pdf_text.pages[0].Contents.read_bytes()
base_page = self.pdf_base.pages.p(page_num)
base_page = self.pdf_base.pages[pageno]
# The text page always will be oriented up by this stage but the original
# content may have a rotation applied. Wrap the text stream with a rotation
# so it will be oriented the same way as the rest of the page content.
# (Previous versions OCRmyPDF rotated the content layer to match the text.)
mediabox = pdf_text.pages[0].mediabox
wt, ht = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
# Get font from the text PDF
pdf_text_fonts = pdf_text.pages[0].Resources.get(
Name.Font, Dictionary()
)
font = None
font_key = None
for f in ('/f-0-0', '/F1'):
pdf_text_font = pdf_text_fonts.get(f, None)
if pdf_text_font is not None:
font_key = Name(f)
font = self.pdf_base.copy_foreign(pdf_text_font)
break
mediabox = base_page.mediabox
wp, hp = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
# Get mediabox dimensions for rotation calculations
mediabox = pdf_text.pages[0].mediabox
wt = float(mediabox[2]) - float(mediabox[0])
ht = float(mediabox[3]) - float(mediabox[1])
translate = Matrix().translated(-wt / 2, -ht / 2)
untranslate = Matrix().translated(wp / 2, hp / 2)
corner = Matrix().translated(mediabox[0], mediabox[1])
# -rotation because the input is a clockwise angle and this formula
# uses CCW
text_rotation = -text_rotation % 360
rotate = Matrix().rotated(text_rotation)
base_mediabox = base_page.mediabox
wp = float(base_mediabox[2]) - float(base_mediabox[0])
hp = float(base_mediabox[3]) - float(base_mediabox[1])
# Because of rounding of DPI, we might get a text layer that is not
# identically sized to the target page. Scale to adjust. Normally this
# is within 0.998.
if text_rotation in (90, 270):
wt, ht = ht, wt
scale_x = wp / wt
scale_y = hp / ht
# Build transformation matrix for rotation and scaling
ctm = _build_text_layer_ctm(
wt,
ht,
wp,
hp,
float(base_mediabox[0]),
float(base_mediabox[1]),
text_rotation,
)
log.debug("Grafting with ctm %r", ctm)
# log.debug('%r', scale_x, scale_y)
scale = Matrix().scaled(scale_x, scale_y)
# Create Form XObject
base_resources = _ensure_dictionary(base_page.obj, Name.Resources)
base_xobjs = _ensure_dictionary(base_resources, Name.XObject)
text_xobj_name = Name.random(prefix="OCR-")
xobj = self.pdf_base.make_stream(pdf_text_contents)
base_xobjs[text_xobj_name] = xobj
xobj.Type = Name.XObject
xobj.Subtype = Name.Form
xobj.FormType = 1
xobj.BBox = base_mediabox
# Translate the text so it is centered at (0, 0), rotate it there, adjust
# for a size different between initial and text PDF, then untranslate, and
# finally move the lower left corner to match the mediabox.
ctm = translate @ rotate @ scale @ untranslate @ corner
log.debug("Grafting with ctm %r", ctm)
# Add font to xobj resources
if font_key is not None and font is not None:
xobj_resources = _ensure_dictionary(xobj, Name.Resources)
xobj_fonts = _ensure_dictionary(xobj_resources, Name.Font)
if font_key not in xobj_fonts:
xobj_fonts[font_key] = font
base_resources = _ensure_dictionary(base_page.obj, Name.Resources)
base_xobjs = _ensure_dictionary(base_resources, Name.XObject)
text_xobj_name = Name.random(prefix="OCR-")
xobj = self.pdf_base.make_stream(pdf_text_contents)
base_xobjs[text_xobj_name] = xobj
xobj.Type = Name.XObject
xobj.Subtype = Name.Form
xobj.FormType = 1
xobj.BBox = mediabox
_update_resources(obj=xobj, font=font, font_key=font_key)
if ctm is not None:
pdf_draw_xobj = (
(b'q %s cm\n' % ctm.encode())
+ (b'%s Do\n' % text_xobj_name)
+ b'\nQ\n'
)
else:
pdf_draw_xobj = b'q\n' + (b'%s Do\n' % text_xobj_name) + b'\nQ\n'
new_text_layer = Stream(self.pdf_base, pdf_draw_xobj)
pdf_draw_xobj = (
(b'q %s cm\n' % ctm.encode()) + (b'%s Do\n' % text_xobj_name) + b'\nQ\n'
)
new_text_layer = Stream(self.pdf_base, pdf_draw_xobj)
if self.context.options.mode == ProcessingMode.redo:
strip_invisible_text(self.pdf_base, base_page)
base_page.contents_coalesce()
base_page.contents_add(
new_text_layer, prepend=self.render_mode == RenderMode.UNDERNEATH
)
base_page.contents_coalesce()
if strip_old_text:
strip_invisible_text(self.pdf_base, base_page)
base_page.contents_coalesce()
if self.render_mode == RenderMode.ON_TOP:
# Add q/Q to ensure content we append is drawn correctly
# Strictly speaking this needs to trace the whole q/Q stack in case
# stack is not balanced.
original = base_page.Contents.read_bytes()
base_page.Contents.write(b'q\n' + original + b'\nQ\n')
base_page.contents_add(
new_text_layer, prepend=self.render_mode == RenderMode.UNDERNEATH
)
base_page.contents_coalesce()
_update_resources(obj=base_page.obj, font=font, font_key=font_key)
# Add font to page resources
if font_key is not None and font is not None:
page_resources = _ensure_dictionary(base_page.obj, Name.Resources)
page_fonts = _ensure_dictionary(page_resources, Name.Font)
if font_key not in page_fonts:
page_fonts[font_key] = font
except (FileNotFoundError, PdfError):
# PdfError occurs if a 0-length file is written e.g. due to OCR timeout
pass
+36 -15
View File
@@ -5,29 +5,31 @@
from __future__ import annotations
import os
from argparse import Namespace
from collections.abc import Iterator
from copy import copy
from pathlib import Path
from typing import TYPE_CHECKING
from pluggy import PluginManager
from ocrmypdf._options import OcrOptions
from ocrmypdf.pdfinfo import PdfInfo
from ocrmypdf.pdfinfo.info import PageInfo
if TYPE_CHECKING:
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
class PdfContext:
"""Holds the context for a particular run of the pipeline."""
options: Namespace #: The specified options for processing this PDF.
options: OcrOptions #: The specified options for processing this PDF.
origin: Path #: The filename of the original input file.
pdfinfo: PdfInfo #: Detailed data for this PDF.
plugin_manager: PluginManager #: PluginManager for processing the current PDF.
plugin_manager: (
OcrmypdfPluginManager #: PluginManager for processing the current PDF.
)
def __init__(
self,
options: Namespace,
options: OcrOptions,
work_folder: Path,
origin: Path,
pdfinfo: PdfInfo,
@@ -65,21 +67,27 @@ class PageContext:
Must be pickle-able, so stores only intrinsic/simple data elements or those
capable of their serializing themselves via ``__getstate__``.
Note: Uses OcrOptions with JSON serialization for multiprocessing compatibility.
"""
options: Namespace #: The specified options for processing this PDF.
origin: Path #: The filename of the original input file.
pageno: int #: This page number (zero-based).
pageinfo: PageInfo #: Information on this page.
plugin_manager: PluginManager #: PluginManager for processing the current PDF.
plugin_manager: (
OcrmypdfPluginManager #: PluginManager for processing the current PDF.
)
def __init__(self, pdf_context: PdfContext, pageno):
self.work_folder = pdf_context.work_folder
self.origin = pdf_context.origin
# Store OcrOptions directly instead of Namespace
self.options = pdf_context.options
self.pageno = pageno
self.pageinfo = pdf_context.pdfinfo[pageno]
self.plugin_manager = pdf_context.plugin_manager
# Ensure no reference to PdfContext which contains OcrOptions
self._pdf_context = None
def get_path(self, name: str) -> Path:
"""Generate a ``Path`` for a file that is part of processing this page.
@@ -92,9 +100,22 @@ class PageContext:
def __getstate__(self):
state = self.__dict__.copy()
state['options'] = copy(self.options)
if not isinstance(state['options'].input_file, str | bytes | os.PathLike):
state['options'].input_file = 'stream'
if not isinstance(state['options'].output_file, str | bytes | os.PathLike):
state['options'].output_file = 'stream'
options_json = self.options.model_dump_json_safe()
state['options_json'] = options_json
# Remove the OcrOptions object to avoid pickle issues
del state['options']
# Remove any potential references to Pydantic objects
state.pop('_pdf_context', None)
return state
def __setstate__(self, state):
self.__dict__.update(state)
# Reconstruct OcrOptions from JSON if available
if 'options_json' in state:
from ocrmypdf._options import OcrOptions
self.options = OcrOptions.model_validate_json_safe(state['options_json'])
# Otherwise, we have a fallback Namespace (shouldn't happen in normal operation)
# Leave it as-is for compatibility
+1 -1
View File
@@ -26,5 +26,5 @@ class PageNumberFilter(logging.Filter):
class RichLoggingHandler(RichHandler):
def __init__(self, console: Console, **kwargs):
super().__init__(
console=console, show_level=False, show_time=False, markup=True, **kwargs
console=console, show_level=False, show_time=False, markup=False, **kwargs
)
+46 -17
View File
@@ -5,9 +5,9 @@
from __future__ import annotations
import datetime as dt
import logging
import os
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
@@ -15,8 +15,8 @@ from pikepdf import Dictionary, Name, Pdf
from pikepdf import __version__ as PIKEPDF_VERSION
from pikepdf.models.metadata import PdfMetadata, encode_pdf_date
from ocrmypdf._defaults import PROGRAM_NAME
from ocrmypdf._jobcontext import PdfContext
from ocrmypdf._version import PROGRAM_NAME
from ocrmypdf._version import __version__ as OCRMYPF_VERSION
from ocrmypdf.languages import iso_639_2_from_3
@@ -47,11 +47,13 @@ def get_docinfo(base_pdf: Pdf, context: PdfContext) -> dict[str, str]:
if options.subject:
pdfmark['/Subject'] = options.subject
creator_tag = context.plugin_manager.hook.get_ocr_engine().creator_tag(options)
creator_tag = context.plugin_manager.get_ocr_engine(options=options).creator_tag(
options
)
pdfmark['/Creator'] = f'{PROGRAM_NAME} {OCRMYPF_VERSION} / {creator_tag}'
pdfmark['/Producer'] = f'pikepdf {PIKEPDF_VERSION}'
pdfmark['/ModDate'] = encode_pdf_date(datetime.now(timezone.utc))
pdfmark['/ModDate'] = encode_pdf_date(dt.datetime.now(dt.UTC))
return pdfmark
@@ -98,9 +100,7 @@ def should_linearize(working_file: Path, context: PdfContext) -> bool:
For smaller files, linearization is not worth the effort.
"""
filesize = os.stat(working_file).st_size
if filesize > (context.options.fast_web_view * 1_000_000):
return True
return False
return filesize > (context.options.fast_web_view * 1_000_000)
def _fix_metadata(meta_original: PdfMetadata, meta_pdf: PdfMetadata):
@@ -108,12 +108,11 @@ def _fix_metadata(meta_original: PdfMetadata, meta_pdf: PdfMetadata):
# ensure consistency with Ghostscript.
if 'xmp:CreateDate' not in meta_pdf:
meta_pdf['xmp:CreateDate'] = meta_pdf.get('xmp:ModifyDate', '')
if meta_pdf.get('dc:title') == 'Untitled':
if meta_pdf.get('dc:title') == 'Untitled' and ('dc:title' not in meta_original):
# Ghostscript likes to set title to Untitled if omitted from input.
# Reverse this, because PDF/A TechNote 0003:Metadata in PDF/A-1
# and the XMP Spec do not make this recommendation.
if 'dc:title' not in meta_original:
del meta_pdf['dc:title']
del meta_pdf['dc:title']
def _unset_empty_metadata(meta: PdfMetadata, options):
@@ -153,22 +152,52 @@ def _set_language(pdf: Pdf, languages: list[str]):
pdf.Root.Lang = iso639_2
class MetadataProgress:
def __init__(self, progressbar_class, enable: bool = True):
self.progressbar_class = progressbar_class
self.progressbar = self.progressbar_class(
total=100, desc="Linearizing", unit='%', disable=not enable
)
def __enter__(self):
self.progressbar.__enter__()
return self
def __exit__(self, exc_type, exc_value, traceback):
return self.progressbar.__exit__(exc_type, exc_value, traceback)
def __call__(self, percent: int):
if not self.progressbar_class:
return
self.progressbar.update(completed=percent)
def metadata_fixup(
working_file: Path, context: PdfContext, pdf_save_settings: dict[str, Any]
) -> Path:
"""Fix certain metadata fields after Ghostscript PDF/A conversion.
"""Fix certain metadata fields whether PDF or PDF/A.
Override some of Ghostscript's metadata choices.
Also report on metadata in the input file that was not retained during
PDF/A conversion.
conversion.
"""
output_file = context.get_path('metafix.pdf')
options = context.options
with Pdf.open(context.origin) as original, Pdf.open(working_file) as pdf:
pbar_class = context.plugin_manager.get_progressbar_class()
with (
Pdf.open(context.origin) as original,
Pdf.open(working_file) as pdf,
MetadataProgress(pbar_class, options.progress_bar) as pbar,
):
docinfo = get_docinfo(original, context)
with original.open_metadata(
set_pikepdf_as_editor=False, update_docinfo=False, strict=False
) as meta_original, pdf.open_metadata() as meta_pdf:
with (
original.open_metadata(
set_pikepdf_as_editor=False, update_docinfo=False, strict=False
) as meta_original,
pdf.open_metadata() as meta_pdf,
):
meta_pdf.load_from_docinfo(
docinfo, delete_missing=False, raise_failure=False
)
@@ -179,6 +208,6 @@ def metadata_fixup(
report_on_metadata(options, meta_missing)
_set_language(pdf, options.languages)
pdf.save(output_file, **pdf_save_settings)
pdf.save(output_file, progress=pbar, **pdf_save_settings)
return output_file
+641
View File
@@ -0,0 +1,641 @@
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Internal options model for OCRmyPDF."""
from __future__ import annotations
import json
import logging
import os
import shlex
import unicodedata
from collections.abc import Sequence
from enum import StrEnum
from io import IOBase
from pathlib import Path
from typing import Any, BinaryIO
from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
from ocrmypdf._defaults import DEFAULT_LANGUAGE, DEFAULT_ROTATE_PAGES_THRESHOLD
from ocrmypdf.exceptions import BadArgsError
from ocrmypdf.helpers import monotonic
# Import plugin option models - these will be available after plugins are loaded
# We'll use forward references and handle imports dynamically
log = logging.getLogger(__name__)
# Module-level registry for plugin option models
# This is populated by setup_plugin_infrastructure() after plugins are loaded
_plugin_option_models: dict[str, type] = {}
PathOrIO = BinaryIO | IOBase | Path | str | bytes
class ProcessingMode(StrEnum):
"""OCR processing mode for handling pages with existing text.
This enum controls how OCRmyPDF handles pages that already contain text:
- ``default``: Error if text is found (standard OCR behavior)
- ``force``: Rasterize all content and run OCR regardless of existing text
- ``skip``: Skip OCR on pages that already have text
- ``redo``: Re-OCR pages, stripping old invisible text layer
"""
default = 'default'
force = 'force'
skip = 'skip'
redo = 'redo'
class TaggedPdfMode(StrEnum):
"""Control behavior when encountering a Tagged PDF.
Tagged PDFs often indicate documents generated from office applications
that may not need OCR. This enum controls how OCRmyPDF handles them:
- ``default``: Error if ProcessingMode is default, otherwise warn
- ``ignore``: Always warn but continue processing (never error)
"""
default = 'default'
ignore = 'ignore'
def _pages_from_ranges(ranges: str) -> set[int]:
"""Convert page range string to set of page numbers."""
pages: list[int] = []
page_groups = ranges.replace(' ', '').split(',')
for group in page_groups:
if not group:
continue
try:
start, end = group.split('-')
except ValueError:
pages.append(int(group) - 1)
else:
try:
new_pages = list(range(int(start) - 1, int(end)))
if not new_pages:
raise BadArgsError(
f"invalid page subrange '{start}-{end}'"
) from None
pages.extend(new_pages)
except ValueError:
raise BadArgsError(f"invalid page subrange '{group}'") from None
if not pages:
raise BadArgsError(
f"The string of page ranges '{ranges}' did not contain any recognizable "
f"page ranges."
)
if not monotonic(pages):
log.warning(
"List of pages to process contains duplicate pages, or pages that are "
"out of order"
)
if any(page < 0 for page in pages):
raise BadArgsError("pages refers to a page number less than 1")
log.debug("OCRing only these pages: %s", pages)
return set(pages)
class OcrOptions(BaseModel):
"""Internal options model that can masquerade as argparse.Namespace.
This model provides proper typing and validation while maintaining
compatibility with existing code that expects argparse.Namespace behavior.
"""
# I/O options
input_file: PathOrIO
output_file: PathOrIO
sidecar: PathOrIO | None = None
output_folder: Path | None = None
work_folder: Path | None = None
# Core OCR options
languages: list[str] = Field(default_factory=lambda: [DEFAULT_LANGUAGE])
output_type: str = 'auto'
mode: ProcessingMode = ProcessingMode.default
# Backward compatibility properties for force_ocr, skip_text, redo_ocr
@property
def force_ocr(self) -> bool:
"""Backward compatibility alias for mode == ProcessingMode.force."""
return self.mode == ProcessingMode.force
@property
def skip_text(self) -> bool:
"""Backward compatibility alias for mode == ProcessingMode.skip."""
return self.mode == ProcessingMode.skip
@property
def redo_ocr(self) -> bool:
"""Backward compatibility alias for mode == ProcessingMode.redo."""
return self.mode == ProcessingMode.redo
# Job control
jobs: int | None = None
use_threads: bool = True
progress_bar: bool = True
quiet: bool = False
verbose: int = 0
keep_temporary_files: bool = False
# Image processing
image_dpi: int | None = None
deskew: bool = False
clean: bool = False
clean_final: bool = False
rotate_pages: bool = False
remove_background: bool = False
remove_vectors: bool = False
oversample: int = 0
unpaper_args: list[str] | None = None
# OCR behavior
skip_big: float | None = None
pages: str | set[int] | None = None # Can be string or set after validation
invalidate_digital_signatures: bool = False
tagged_pdf_mode: TaggedPdfMode = TaggedPdfMode.default
# Metadata
title: str | None = None
author: str | None = None
subject: str | None = None
keywords: str | None = None
# Optimization
optimize: int = 1
jpg_quality: int | None = None
png_quality: int | None = None
jbig2_threshold: float = 0.85
# Compatibility alias for plugins that expect jpeg_quality
@property
def jpeg_quality(self):
"""Compatibility alias for jpg_quality."""
return self.jpg_quality
@jpeg_quality.setter
def jpeg_quality(self, value):
"""Compatibility alias for jpg_quality."""
self.jpg_quality = value
# Advanced options
max_image_mpixels: float = 250.0
pdf_renderer: str = 'auto'
ocr_engine: str = 'auto'
rasterizer: str = 'auto'
rotate_pages_threshold: float = DEFAULT_ROTATE_PAGES_THRESHOLD
user_words: os.PathLike | None = None
user_patterns: os.PathLike | None = None
fast_web_view: float = 1.0
continue_on_soft_render_error: bool | None = None
# Tesseract options - also accessible via options.tesseract.<field>
tesseract_config: list[str] = []
tesseract_pagesegmode: int | None = None
tesseract_oem: int | None = None
tesseract_thresholding: int | None = None
tesseract_timeout: float = 0.0
tesseract_non_ocr_timeout: float | None = None
tesseract_downsample_above: int = 32767
tesseract_downsample_large_images: bool | None = None
# Ghostscript options - also accessible via options.ghostscript.<field>
pdfa_image_compression: str | None = None
color_conversion_strategy: str = "LeaveColorUnchanged"
# Optimize/JBIG2 options - also accessible via options.optimize.<field>
jbig2_threshold: float = 0.85
# Plugin system
plugins: Sequence[Path | str] | None = None
# Store any extra attributes (for plugins and dynamic options)
extra_attrs: dict[str, Any] = Field(
default_factory=dict, exclude=True, alias='_extra_attrs'
)
@field_validator('languages')
@classmethod
def validate_languages(cls, v):
"""Ensure languages list is not empty."""
if not v:
return [DEFAULT_LANGUAGE]
return v
@field_validator('output_type')
@classmethod
def validate_output_type(cls, v):
"""Validate output type is one of the allowed values."""
valid_types = {'auto', 'pdfa', 'pdf', 'pdfa-1', 'pdfa-2', 'pdfa-3', 'none'}
if v not in valid_types:
raise ValueError(f"output_type must be one of {valid_types}")
return v
@field_validator('pdf_renderer')
@classmethod
def validate_pdf_renderer(cls, v):
"""Validate PDF renderer is one of the allowed values."""
valid_renderers = {'auto', 'sandwich', 'fpdf2'}
# Legacy hocr/hocrdebug are accepted but redirected to fpdf2
legacy_renderers = {'hocr', 'hocrdebug'}
all_accepted = valid_renderers | legacy_renderers
if v not in all_accepted:
raise ValueError(f"pdf_renderer must be one of {all_accepted}")
return v
@field_validator('rasterizer')
@classmethod
def validate_rasterizer(cls, v):
"""Validate rasterizer is one of the allowed values."""
valid_rasterizers = {'auto', 'ghostscript', 'pypdfium'}
if v not in valid_rasterizers:
raise ValueError(f"rasterizer must be one of {valid_rasterizers}")
return v
@field_validator('clean_final')
@classmethod
def validate_clean_final(cls, v, info):
"""If clean_final is True, also set clean to True."""
if v and hasattr(info, 'data') and 'clean' in info.data:
info.data['clean'] = True
return v
@field_validator('jobs')
@classmethod
def validate_jobs(cls, v):
"""Validate jobs is a reasonable number."""
if v is not None and (v < 0 or v > 256):
raise ValueError("jobs must be between 0 and 256")
return v
@field_validator('verbose')
@classmethod
def validate_verbose(cls, v):
"""Validate verbose level."""
if v < 0 or v > 2:
raise ValueError("verbose must be between 0 and 2")
return v
@field_validator('oversample')
@classmethod
def validate_oversample(cls, v):
"""Validate oversample DPI."""
if v < 0 or v > 5000:
raise ValueError("oversample must be between 0 and 5000")
return v
@field_validator('max_image_mpixels')
@classmethod
def validate_max_image_mpixels(cls, v):
"""Validate max image megapixels."""
if v < 0:
raise ValueError("max_image_mpixels must be non-negative")
return v
@field_validator('rotate_pages_threshold')
@classmethod
def validate_rotate_pages_threshold(cls, v):
"""Validate rotate pages threshold."""
if v < 0 or v > 1000:
raise ValueError("rotate_pages_threshold must be between 0 and 1000")
return v
@field_validator('title', 'author', 'keywords', 'subject')
@classmethod
def validate_metadata_unicode(cls, v):
"""Validate metadata strings don't contain unsupported Unicode characters."""
if v is None:
return v
for char in v:
if unicodedata.category(char) == 'Co' or ord(char) >= 0x10000:
hexchar = hex(ord(char))[2:].upper()
raise ValueError(
f"Metadata string contains unsupported Unicode character: "
f"{char} (U+{hexchar})"
)
return v
@field_validator('pages')
@classmethod
def validate_pages_format(cls, v):
"""Convert page ranges string to set of page numbers."""
if v is None:
return v
if isinstance(v, set):
return v # Already processed
# Convert string ranges to set of page numbers
return _pages_from_ranges(v)
@field_validator('unpaper_args', mode='before')
@classmethod
def validate_unpaper_args(cls, v):
"""Normalize unpaper_args from string to list and validate security."""
if v is None:
return v
if isinstance(v, str):
v = shlex.split(v)
if isinstance(v, list):
if any(('/' in arg or arg == '.' or arg == '..') for arg in v):
raise ValueError('No filenames allowed in --unpaper-args')
return v
raise ValueError(f'unpaper_args must be a string or list, got {type(v)}')
@model_validator(mode='before')
@classmethod
def handle_special_cases(cls, data):
"""Handle special cases for API compatibility and legacy options."""
if isinstance(data, dict):
# For hOCR API, output_file might not be present
if 'output_folder' in data and 'output_file' not in data:
data['output_file'] = '/dev/null' # Placeholder
# Convert legacy boolean options (force_ocr, skip_text, redo_ocr) to mode
force = data.pop('force_ocr', None)
skip = data.pop('skip_text', None)
redo = data.pop('redo_ocr', None)
# Count how many legacy options are set to True
legacy_set = [
(force, ProcessingMode.force),
(skip, ProcessingMode.skip),
(redo, ProcessingMode.redo),
]
legacy_true = [(val, mode) for val, mode in legacy_set if val]
legacy_count = len(legacy_true)
# Get current mode value (may be string or enum)
current_mode = data.get('mode', ProcessingMode.default)
if isinstance(current_mode, str):
current_mode = ProcessingMode(current_mode)
mode_is_set = current_mode != ProcessingMode.default
if legacy_count > 1:
raise ValueError(
"Choose only one of --force-ocr, --skip-text, --redo-ocr."
)
if legacy_count == 1:
expected_mode = legacy_true[0][1]
if mode_is_set and current_mode != expected_mode:
legacy_flag = f"--{expected_mode.value.replace('_', '-')}-ocr"
raise ValueError(
f"Conflicting options: --mode {current_mode.value} "
f"cannot be used with {legacy_flag} or similar legacy flag."
)
# Set mode from legacy option
data['mode'] = expected_mode
return data
@model_validator(mode='after')
def validate_redo_ocr_options(self):
"""Validate options compatible with redo mode."""
if self.mode == ProcessingMode.redo and (
self.deskew or self.clean_final or self.remove_background
):
raise ValueError(
"--redo-ocr (or --mode redo) is not currently compatible with "
"--deskew, --clean-final, and --remove-background"
)
return self
@model_validator(mode='after')
def validate_output_type_compatibility(self):
"""Validate output type is compatible with output file."""
if self.output_type == 'none' and str(self.output_file) not in (
os.devnull,
'-',
):
raise ValueError(
"Since you specified `--output-type none`, the output file "
f"{self.output_file} cannot be produced. Set the output file to "
f"`-` to suppress this message."
)
return self
@property
def lossless_reconstruction(self):
"""Determine lossless_reconstruction based on other options."""
lossless = not any(
[
self.deskew,
self.clean_final,
self.mode == ProcessingMode.force,
self.remove_background,
]
)
return lossless
def model_dump_json_safe(self) -> str:
"""Serialize to JSON with special handling for non-serializable types."""
# Create a copy of the model data for serialization
data = self.model_dump()
# Handle special types that don't serialize to JSON directly
def _serialize_value(value):
if isinstance(value, Path):
return {'__type__': 'Path', 'value': str(value)}
elif (
isinstance(value, BinaryIO | IOBase)
or hasattr(value, 'read')
or hasattr(value, 'write')
):
# Stream object - replace with placeholder
return {'__type__': 'Stream', 'value': 'stream'}
elif hasattr(value, '__class__') and 'Iterator' in value.__class__.__name__:
# Handle Pydantic serialization iterators
return {'__type__': 'Stream', 'value': 'stream'}
elif isinstance(value, property):
# Handle property objects that shouldn't be serialized
return None
elif isinstance(value, list | tuple):
return [_serialize_value(item) for item in value]
elif isinstance(value, dict):
return {k: _serialize_value(v) for k, v in value.items()}
else:
return value
# Process all fields
serializable_data = {}
for key, value in data.items():
serialized_value = _serialize_value(value)
if serialized_value is not None: # Skip None values from properties
serializable_data[key] = serialized_value
# Add extra_attrs, excluding plugin cache entries (they'll be recreated lazily)
if self.extra_attrs:
filtered_extra = {
k: v
for k, v in self.extra_attrs.items()
if not k.startswith('_plugin_cache_')
}
if filtered_extra:
serializable_data['_extra_attrs'] = _serialize_value(filtered_extra)
return json.dumps(serializable_data)
@classmethod
def model_validate_json_safe(cls, json_str: str) -> OcrOptions:
"""Reconstruct from JSON with special handling for non-serializable types."""
data = json.loads(json_str)
# Handle special types during deserialization
def _deserialize_value(value):
if isinstance(value, dict) and '__type__' in value:
if value['__type__'] == 'Path':
return Path(value['value'])
elif value['__type__'] == 'Stream':
# For streams, we'll use a placeholder string
return value['value']
else:
return value['value']
elif isinstance(value, list):
return [_deserialize_value(item) for item in value]
elif isinstance(value, dict):
return {k: _deserialize_value(v) for k, v in value.items()}
else:
return value
# Process all fields
deserialized_data = {}
extra_attrs = {}
for key, value in data.items():
if key == '_extra_attrs':
extra_attrs = _deserialize_value(value)
else:
deserialized_data[key] = _deserialize_value(value)
# Create instance
instance = cls(**deserialized_data)
instance.extra_attrs = extra_attrs
return instance
model_config = ConfigDict(
extra="forbid", # Force use of extra_attrs for unknown fields
arbitrary_types_allowed=True, # Allow BinaryIO, Path, etc.
validate_assignment=True, # Validate on attribute assignment
)
@classmethod
def register_plugin_models(cls, models: dict[str, type]) -> None:
"""Register plugin option model classes for nested access.
Args:
models: Dictionary mapping namespace to model class
"""
global _plugin_option_models
_plugin_option_models.update(models)
def _get_plugin_options(self, namespace: str) -> Any:
"""Get or create a plugin options instance for the given namespace.
This method creates plugin option instances lazily from flat field values.
Args:
namespace: The plugin namespace (e.g., 'tesseract', 'optimize')
Returns:
An instance of the plugin's option model, or None if not registered
"""
# Use extra_attrs to cache plugin option instances
cache_key = f'_plugin_cache_{namespace}'
if cache_key in self.extra_attrs:
return self.extra_attrs[cache_key]
if namespace not in _plugin_option_models:
raise AttributeError(
f"Plugin namespace '{namespace}' is not registered. "
f"Ensure setup_plugin_infrastructure() was called."
)
model_class = _plugin_option_models[namespace]
def _convert_value(value):
"""Convert value to be compatible with plugin model fields."""
if isinstance(value, os.PathLike):
return os.fspath(value)
return value
# Build kwargs from flat fields
kwargs = {}
for field_name in model_class.model_fields:
# Try namespace_field pattern first (e.g., tesseract_timeout)
flat_name = f"{namespace}_{field_name}"
if flat_name in OcrOptions.model_fields:
value = getattr(self, flat_name)
if value is not None:
kwargs[field_name] = _convert_value(value)
# Also check direct field name (for fields like jbig2_lossy)
elif field_name in OcrOptions.model_fields:
value = getattr(self, field_name)
if value is not None:
kwargs[field_name] = _convert_value(value)
# Check for special mappings
elif namespace == 'optimize' and field_name == 'level':
# 'optimize' field maps to 'level' in OptimizeOptions
if 'optimize' in OcrOptions.model_fields:
value = self.optimize
if value is not None:
kwargs[field_name] = _convert_value(value)
elif namespace == 'optimize' and field_name == 'jpeg_quality':
# jpg_quality maps to jpeg_quality
if 'jpg_quality' in OcrOptions.model_fields:
value = self.jpg_quality
if value is not None:
kwargs[field_name] = _convert_value(value)
# Create and cache the plugin options instance
instance = model_class(**kwargs)
self.extra_attrs[cache_key] = instance
return instance
def __getattr__(self, name: str) -> Any:
"""Support dynamic access to plugin option namespaces.
This allows accessing plugin options like:
options.tesseract.timeout
options.optimize.level
Plugin models must be registered via register_plugin_models() for
namespace access to work. Built-in plugins register their models
during initialization.
Args:
name: Attribute name
Returns:
Plugin options instance if name is a registered namespace,
otherwise raises AttributeError
"""
# Check if this is a plugin namespace
if name.startswith('_'):
# Private attributes should not trigger plugin lookup
raise AttributeError(
f"'{type(self).__name__}' object has no attribute '{name}'"
)
# Try to get plugin options for this namespace
if name in _plugin_option_models:
return self._get_plugin_options(name)
# Check extra_attrs
if 'extra_attrs' in self.__dict__ and name in self.extra_attrs:
return self.extra_attrs[name]
raise AttributeError(
f"'{type(self).__name__}' object has no attribute '{name}'"
)
+317 -121
View File
@@ -15,7 +15,10 @@ from contextlib import suppress
from io import BytesIO
from pathlib import Path
from shutil import copyfileobj
from typing import Any, BinaryIO, TypeVar, cast
from typing import TYPE_CHECKING, Any, BinaryIO, TypeVar, cast
if TYPE_CHECKING:
from ocrmypdf.hocrtransform import OcrElement
import img2pdf
import pikepdf
@@ -25,6 +28,7 @@ from ocrmypdf._concurrent import Executor
from ocrmypdf._exec import unpaper
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._metadata import repair_docinfo_nuls
from ocrmypdf._options import OcrOptions, ProcessingMode, TaggedPdfMode
from ocrmypdf.exceptions import (
DigitalSignatureError,
DpiError,
@@ -35,11 +39,21 @@ from ocrmypdf.exceptions import (
UnsupportedImageFormatError,
)
from ocrmypdf.helpers import IMG2PDF_KWARGS, Resolution, safe_symlink
from ocrmypdf.hocrtransform import DebugRenderOptions, HocrTransform
from ocrmypdf.hocrtransform._font import Courier
from ocrmypdf.pdfa import generate_pdfa_ps
from ocrmypdf.pdfinfo import Colorspace, Encoding, PageInfo, PdfInfo
from ocrmypdf.pluginspec import OrientationConfidence
from ocrmypdf.pdfa import (
file_claims_pdfa,
generate_pdfa_ps,
speculative_pdfa_conversion,
)
from ocrmypdf.pdfinfo import Colorspace, Encoding, FloatRect, PageInfo, PdfInfo
from ocrmypdf.pluginspec import GhostscriptRasterDevice, OrientationConfidence
try:
from pi_heif import register_heif_opener
except ImportError:
def register_heif_opener():
pass
T = TypeVar("T")
log = logging.getLogger(__name__)
@@ -47,7 +61,10 @@ log = logging.getLogger(__name__)
VECTOR_PAGE_DPI = 400
def triage_image_file(input_file: Path, output_file: Path, options) -> None:
register_heif_opener()
def triage_image_file(input_file: Path, output_file: Path, options: OcrOptions) -> None:
"""Triage the input image file.
If the input file is an image, check its resolution and convert it to PDF.
@@ -68,6 +85,14 @@ def triage_image_file(input_file: Path, output_file: Path, options) -> None:
except OSError as e:
# Recover the original filename
log.error(str(e).replace(str(input_file), str(options.input_file)))
if not input_file.exists():
log.error("Input file does not exist: %s", input_file)
if input_file.is_dir():
log.error("Input file is a directory: %s", input_file)
if input_file.is_file():
log.error("Input file is a file: %s", input_file)
if input_file.stat().st_size == 0:
log.error("Input file is empty: %s", input_file)
raise UnsupportedImageFormatError() from e
with im:
@@ -131,14 +156,14 @@ def _pdf_guess_version(input_file: Path, search_window=1024) -> str:
"""
with open(input_file, 'rb') as f:
signature = f.read(search_window)
m = re.search(br'%PDF-(\d\.\d)', signature)
m = re.search(rb'%PDF-(\d\.\d)', signature)
if m:
return m.group(1).decode('ascii')
return ''
def triage(
original_filename: str, input_file: Path, output_file: Path, options
original_filename: str, input_file: Path, output_file: Path, options: OcrOptions
) -> Path:
"""Triage the input file. We can handle PDFs and images."""
try:
@@ -148,8 +173,13 @@ def triage(
"Argument --image-dpi is being ignored because the "
"input file is a PDF, not an image."
)
# Origin file is a pdf create a symlink with pdf extension
safe_symlink(input_file, output_file)
try:
with pikepdf.open(input_file) as pdf:
pdf.save(output_file)
except pikepdf.PdfError as e:
raise InputFileError() from e
except pikepdf.PasswordError as e:
raise EncryptedPdfError() from e
return output_file
except OSError as e:
log.debug(f"Temporary file was at: {input_file}")
@@ -203,10 +233,10 @@ def validate_pdfinfo_options(context: PdfContext) -> None:
else:
raise DigitalSignatureError()
if pdfinfo.has_acroform:
if options.redo_ocr:
if options.mode == ProcessingMode.redo:
raise InputFileError(
"This PDF has a user fillable form. --redo-ocr is not "
"currently possible on such files."
"This PDF has a user fillable form. --redo-ocr (or --mode redo) "
"is not currently possible on such files."
)
else:
log.warning(
@@ -214,23 +244,26 @@ def validate_pdfinfo_options(context: PdfContext) -> None:
"Chances are it is a pure digital "
"document that does not need OCR."
)
if not options.force_ocr:
if options.mode != ProcessingMode.force:
log.info(
"Use the option --force-ocr to produce an image of the "
"form and all filled form fields. The output PDF will be "
"'flattened' and will no longer be fillable."
"Use the option --force-ocr (or --mode force) to produce an "
"image of the form and all filled form fields. The output PDF "
"will be 'flattened' and will no longer be fillable."
)
if pdfinfo.is_tagged:
if options.force_ocr or options.skip_text or options.redo_ocr:
log.warning(
"This PDF is marked as a Tagged PDF. This often indicates "
"that the PDF was generated from an office document and does "
"not need OCR. PDF pages processed by OCRmyPDF may not be "
"tagged correctly."
)
else:
log.warning(
"This PDF is marked as a Tagged PDF. This often indicates "
"that the PDF was generated from an office document and does "
"not need OCR. PDF pages processed by OCRmyPDF may not be "
"tagged correctly."
)
if (
options.tagged_pdf_mode == TaggedPdfMode.default
and options.mode == ProcessingMode.default
):
log.info("Use --tagged-pdf-mode ignore to ignore Tagged PDFs.")
raise TaggedPDFError()
context.plugin_manager.hook.validate(pdfinfo=pdfinfo, options=options)
context.plugin_manager.validate(pdfinfo=pdfinfo, options=options)
def _vector_page_dpi(pageinfo: PageInfo) -> int:
@@ -298,24 +331,24 @@ def is_ocr_required(page_context: PageContext) -> bool:
log.debug(f"skipped {pageinfo.pageno} as requested by --pages {options.pages}")
ocr_required = False
elif pageinfo.has_text:
if not options.force_ocr and not (options.skip_text or options.redo_ocr):
if options.mode == ProcessingMode.default:
raise PriorOcrFoundError(
"page already has text! - aborting (use --force-ocr to force OCR; "
" see also help for the arguments --skip-text and --redo-ocr"
"page already has text! - aborting (use --force-ocr or --mode force "
"to force OCR; see also help for --skip-text, --redo-ocr, and --mode)"
)
elif options.force_ocr:
elif options.mode == ProcessingMode.force:
log.info("page already has text! - rasterizing text and running OCR anyway")
ocr_required = True
elif options.redo_ocr:
elif options.mode == ProcessingMode.redo:
if pageinfo.has_corrupt_text:
log.warning(
"some text on this page cannot be mapped to characters: "
"consider using --force-ocr instead"
"consider using --force-ocr (or --mode force) instead"
)
else:
log.info("redoing OCR")
ocr_required = True
elif options.skip_text:
elif options.mode == ProcessingMode.skip:
log.info("skipping all processing on this page")
ocr_required = False
elif not pageinfo.images and not options.lossless_reconstruction:
@@ -326,14 +359,14 @@ def is_ocr_required(page_context: PageContext) -> bool:
# ahead and rasterize. If not forced, then pretend there's no text
# on the page at all so we don't lose anything.
# This could be made smarter by explicitly searching for vector art.
if options.force_ocr and options.oversample:
if options.mode == ProcessingMode.force and options.oversample:
# The user really wants to reprocess this file
log.info(
"page has no images - "
f"rasterizing at {options.oversample} DPI because "
"--force-ocr --oversample was specified"
"--force-ocr --oversample (or --mode force --oversample) was specified"
)
elif options.force_ocr:
elif options.mode == ProcessingMode.force:
# Warn the user they might not want to do this
log.warning(
"page has no images - "
@@ -346,8 +379,8 @@ def is_ocr_required(page_context: PageContext) -> bool:
log.info(
"page has no images - "
"skipping all processing on this page to avoid losing detail. "
"Use --force-ocr if you wish to perform OCR on pages that "
"have vector content."
"Use --force-ocr (or --mode force) if you wish to perform OCR on "
"pages that have vector content."
)
ocr_required = False
@@ -370,16 +403,18 @@ def rasterize_preview(input_file: Path, page_context: PageContext) -> Path:
[get_canvas_square_dpi(page_context)]
)
page_dpi = Resolution(300.0, 300.0).take_min([get_page_square_dpi(page_context)])
page_context.plugin_manager.hook.rasterize_pdf_page(
page_context.plugin_manager.rasterize_pdf_page(
input_file=input_file,
output_file=output_file,
raster_device='jpeggray',
raster_device=GhostscriptRasterDevice.JPEGGRAY,
raster_dpi=canvas_dpi,
pageno=page_context.pageinfo.pageno + 1,
page_dpi=page_dpi,
rotation=0,
filter_vector=False,
stop_on_soft_error=not page_context.options.continue_on_soft_render_error,
options=page_context.options,
use_cropbox=False,
)
return output_file
@@ -399,10 +434,7 @@ def describe_rotation(
else:
action = 'rotation appears correct'
else:
if correction != 0:
action = 'confidence too low to rotate'
else:
action = 'no change'
action = "confidence too low to rotate" if correction != 0 else "no change"
facing = ''
@@ -428,9 +460,10 @@ def get_orientation_correction(preview: Path, page_context: PageContext) -> int:
which points it (hopefully) upright. _graft.py takes care of the orienting
the image and text layers.
"""
orient_conf = page_context.plugin_manager.hook.get_ocr_engine().get_orientation(
preview, page_context.options
ocr_engine = page_context.plugin_manager.get_ocr_engine(
options=page_context.options
)
orient_conf = ocr_engine.get_orientation(preview, page_context.options)
correction = orient_conf.angle % 360
log.info(describe_rotation(page_context, orient_conf, correction))
@@ -464,7 +497,7 @@ def calculate_raster_dpi(page_context: PageContext):
page_dpi = get_page_square_dpi(page_context, image_dpi)
if dpi_profile and dpi_profile.average_to_max_dpi_ratio < 0.8:
log.warning(
"Weight average image DPI is %0.1f, max DPI is %0.1f. "
"Weighted average image DPI is %0.1f, max DPI is %0.1f. "
"The discrepancy may indicate a high detail region on this page, "
"but could also indicate a problem with the input PDF file. "
"Page image will be rendered at %0.1f DPI.",
@@ -496,7 +529,12 @@ def rasterize(
Returns:
Path: The output PNG file path.
"""
colorspaces = ['pngmono', 'pnggray', 'png256', 'png16m']
colorspaces = [
GhostscriptRasterDevice.PNGMONO,
GhostscriptRasterDevice.PNGGRAY,
GhostscriptRasterDevice.PNG256,
GhostscriptRasterDevice.PNG16M,
]
device_idx = 0
if remove_vectors is None:
@@ -513,23 +551,25 @@ def rasterize(
continue # ignore masks
if image.bpc > 1:
if image.color == Colorspace.index:
device_idx = at_least('png256')
device_idx = at_least(GhostscriptRasterDevice.PNG256)
elif image.color == Colorspace.gray:
device_idx = at_least('pnggray')
device_idx = at_least(GhostscriptRasterDevice.PNGGRAY)
else:
device_idx = at_least('png16m')
device_idx = at_least(GhostscriptRasterDevice.PNG16M)
if pageinfo.has_vector:
log.debug("Page has vector content, using png16m")
device_idx = at_least('png16m')
log.debug(f"Page has vector content, using {GhostscriptRasterDevice.PNG16M}")
device_idx = at_least(GhostscriptRasterDevice.PNG16M)
device = colorspaces[device_idx]
log.debug(f"Rasterize with {device}, rotation {correction}")
log.debug(
f"Rasterize with {device}, rotation {correction}, mediabox {pageinfo.mediabox}"
)
canvas_dpi, page_dpi = calculate_raster_dpi(page_context)
page_context.plugin_manager.hook.rasterize_pdf_page(
page_context.plugin_manager.rasterize_pdf_page(
input_file=input_file,
output_file=output_file,
raster_device=device,
@@ -539,6 +579,8 @@ def rasterize(
rotation=correction,
filter_vector=remove_vectors,
stop_on_soft_error=not page_context.options.continue_on_soft_render_error,
options=page_context.options,
use_cropbox=False,
)
return output_file
@@ -567,7 +609,9 @@ def preprocess_deskew(input_file: Path, page_context: PageContext) -> Path:
output_file = page_context.get_path('pp_deskew.png')
dpi = get_page_square_dpi(page_context, calculate_image_dpi(page_context))
ocr_engine = page_context.plugin_manager.hook.get_ocr_engine()
ocr_engine = page_context.plugin_manager.get_ocr_engine(
options=page_context.options
)
deskew_angle_degrees = ocr_engine.get_deskew(input_file, page_context.options)
with Image.open(input_file) as im:
@@ -606,11 +650,11 @@ def create_ocr_image(image: Path, page_context: PageContext) -> Path:
with Image.open(image) as im:
log.debug('resolution %r', im.info['dpi'])
if not options.force_ocr:
if options.mode != ProcessingMode.force:
# Do not mask text areas when forcing OCR, because we need to OCR
# all text areas
mask = None # Exclude both visible and invisible text from OCR
if options.redo_ocr:
if options.mode == ProcessingMode.redo:
mask = True # Mask visible text, but not invisible text
draw = ImageDraw.ImageDraw(im)
@@ -632,7 +676,7 @@ def create_ocr_image(image: Path, page_context: PageContext) -> Path:
draw.rectangle(pixcoords, fill='white')
# draw.rectangle(pixcoords, outline='pink')
filter_im = page_context.plugin_manager.hook.filter_ocr_image(
filter_im = page_context.plugin_manager.filter_ocr_image(
page=page_context, image=im
)
if filter_im is not None:
@@ -650,7 +694,7 @@ def ocr_engine_hocr(input_file: Path, page_context: PageContext) -> tuple[Path,
hocr_text_out = page_context.get_path('ocr_hocr.txt')
options = page_context.options
ocr_engine = page_context.plugin_manager.hook.get_ocr_engine()
ocr_engine = page_context.plugin_manager.get_ocr_engine(options=options)
ocr_engine.generate_hocr(
input_file=input_file,
output_hocr=hocr_out,
@@ -660,10 +704,42 @@ def ocr_engine_hocr(input_file: Path, page_context: PageContext) -> tuple[Path,
return hocr_out, hocr_text_out
def ocr_engine_direct(
input_file: Path, page_context: PageContext
) -> tuple[OcrElement, Path]:
"""Run the OCR engine and return OcrElement tree directly.
This is the modern path for OCR engines that support the generate_ocr() API.
It bypasses hOCR file generation for better performance and richer data.
Args:
input_file: The image file to OCR.
page_context: The page context with options and path utilities.
Returns:
A tuple of (OcrElement tree, path to text sidecar file).
"""
text_out = page_context.get_path('ocr_direct.txt')
options = page_context.options
ocr_engine = page_context.plugin_manager.get_ocr_engine(options=options)
ocr_tree, text_content = ocr_engine.generate_ocr(
input_file=input_file,
options=options,
page_number=page_context.pageno,
)
# Write text sidecar file
text_out.write_text(text_content, encoding='utf-8')
return ocr_tree, text_out
def should_visible_page_image_use_jpg(pageinfo: PageInfo) -> bool:
"""Determines whether the visible page image should be saved as a JPEG.
If all images were JPEGs originally, permit a JPEG as output.
If all images were JPEGs originally (including FlateDecode+DCTDecode),
permit a JPEG as output.
Args:
pageinfo: The PageInfo object containing information about the page.
@@ -672,7 +748,7 @@ def should_visible_page_image_use_jpg(pageinfo: PageInfo) -> bool:
A boolean indicating whether the visible page image should be saved as a JPEG.
"""
return bool(pageinfo.images) and all(
im.enc == Encoding.jpeg for im in pageinfo.images
im.enc in (Encoding.jpeg, Encoding.flate_jpeg) for im in pageinfo.images
)
@@ -737,45 +813,12 @@ def create_pdf_page_from_image(
bio.seek(0)
fix_pagepdf_boxes(bio, output_file, page_context, swap_axis=swap_axis)
output_file = page_context.plugin_manager.hook.filter_pdf_page(
output_file = page_context.plugin_manager.filter_pdf_page(
page=page_context, image_filename=image, output_pdf=output_file
)
return output_file
def render_hocr_page(hocr: Path, page_context: PageContext) -> Path:
"""Render the hOCR page to a PDF."""
options = page_context.options
output_file = page_context.get_path('ocr_hocr.pdf')
if hocr.stat().st_size == 0:
# If hOCR file is empty (skipped page marker), create an empty PDF file
output_file.touch()
return output_file
dpi = get_page_square_dpi(page_context, calculate_image_dpi(page_context))
debug_kwargs = {}
if options.pdf_renderer == 'hocrdebug':
debug_kwargs = dict(
debug_render_options=DebugRenderOptions(
render_baseline=True,
render_triangle=True,
render_line_bbox=False,
render_word_bbox=True,
render_paragraph_bbox=False,
render_space_bbox=False,
),
font=Courier(),
)
HocrTransform(
hocr_filename=hocr, dpi=dpi.to_scalar(), **debug_kwargs # square
).to_pdf(
out_filename=output_file,
image_filename=None,
invisible_text=True if not debug_kwargs else False,
)
return output_file
def ocr_engine_textonly_pdf(
input_image: Path, page_context: PageContext
) -> tuple[Path, Path]:
@@ -784,7 +827,7 @@ def ocr_engine_textonly_pdf(
output_text = page_context.get_path('ocr_tess.txt')
options = page_context.options
ocr_engine = page_context.plugin_manager.hook.get_ocr_engine()
ocr_engine = page_context.plugin_manager.get_ocr_engine(options=options)
ocr_engine.generate_pdf(
input_file=input_image,
output_pdf=output_pdf,
@@ -804,6 +847,23 @@ def _offset_rect(rect: tuple[float, float, float, float], offset: tuple[float, f
)
def _adjust_pagebox(
page: pikepdf.Page,
media_box: FloatRect,
name: pikepdf.Name,
target_box: FloatRect,
offset: tuple[float, float],
swap_axis: bool,
):
if media_box == target_box:
return
box = _offset_rect(target_box, offset)
if swap_axis:
box = box[1], box[0], box[3], box[2]
page[name] = box
log.debug(f"{str(name)} = {target_box}")
def fix_pagepdf_boxes(
infile: Path | BinaryIO,
out_file: Path,
@@ -814,7 +874,7 @@ def fix_pagepdf_boxes(
The single page PDF is created with a normal MediaBox with its lower left corner
at (0, 0). infile is the single page PDF. page_context.mediabox has the original
file's mediabox, which may have a different origin. We needto adjust the other
file's mediabox, which may have a different origin. We need to adjust the other
boxes in the single page PDF to match the effect they had on the original page.
When correcting page rotation, we create a single page PDF that is correctly
@@ -828,20 +888,27 @@ def fix_pagepdf_boxes(
"""
with pikepdf.open(infile) as pdf:
for page in pdf.pages:
# page.BleedBox = page_context.pageinfo.bleedbox
# page.ArtBox = page_context.pageinfo.artbox
log.debug(
f"initial mediabox={page.MediaBox} and pageinfo "
f"mediabox={page_context.pageinfo.mediabox}"
)
mediabox = page_context.pageinfo.mediabox
offset = mediabox[0], mediabox[1]
cropbox = _offset_rect(page_context.pageinfo.cropbox, offset)
trimbox = _offset_rect(page_context.pageinfo.trimbox, offset)
offset = -mediabox[0], -mediabox[1]
if swap_axis:
cropbox = cropbox[1], cropbox[0], cropbox[3], cropbox[2]
trimbox = trimbox[1], trimbox[0], trimbox[3], trimbox[2]
page.CropBox = cropbox
page.TrimBox = trimbox
mediabox = mediabox[1], mediabox[0], mediabox[3], mediabox[2]
boxes = ['CropBox', 'TrimBox', 'ArtBox', 'BleedBox']
for box_name in boxes:
_adjust_pagebox(
page,
mediabox,
pikepdf.Name(f"/{box_name}"),
getattr(page_context.pageinfo, box_name.lower()),
offset,
swap_axis,
)
pdf.save(out_file)
return pdf
return out_file
def generate_postscript_stub(context: PdfContext) -> Path:
@@ -883,15 +950,26 @@ def convert_to_pdfa(input_pdf: Path, input_ps_stub: Path, context: PdfContext) -
else:
safe_symlink(input_pdf, fix_docinfo_file)
context.plugin_manager.hook.generate_pdfa(
# Extract PDF/A part correctly
if options.output_type.startswith('pdfa'):
if options.output_type == 'pdfa':
pdfa_part = '2' # Default to PDF/A-2
else:
pdfa_part = options.output_type.split('-')[
-1
] # Extract number from pdfa-1, pdfa-2, etc.
else:
pdfa_part = '2' # Fallback
context.plugin_manager.generate_pdfa(
pdf_version=input_pdfinfo.min_version,
pdf_pages=[fix_docinfo_file],
pdfmark=input_ps_stub,
output_file=output_file,
context=context,
pdfa_part=options.output_type[-1], # is pdfa-1, pdfa-2, or pdfa-3
pdfa_part=pdfa_part,
progressbar_class=(
context.plugin_manager.hook.get_progressbar_class()
context.plugin_manager.get_progressbar_class()
if options.progress_bar
else None
),
@@ -901,15 +979,136 @@ def convert_to_pdfa(input_pdf: Path, input_ps_stub: Path, context: PdfContext) -
return output_file
def try_speculative_pdfa(input_pdf: Path, context: PdfContext) -> Path | None:
"""Try speculative PDF/A conversion with verapdf validation.
This attempts a fast PDF/A conversion by adding PDF/A structures
directly with pikepdf, then validating with verapdf. If validation
passes, returns the converted file. If it fails or verapdf is not
available, returns None to signal that Ghostscript should be used.
Args:
input_pdf: Path to the PDF to convert
context: The PDF context
Returns:
Path to valid PDF/A file, or None if speculative conversion failed
"""
from ocrmypdf._exec import verapdf
options = context.options
# Skip speculative conversion if user requested specific image compression,
# since that requires Ghostscript to apply
gs_opts = getattr(options, 'ghostscript', None)
if gs_opts is not None:
compression = getattr(gs_opts, 'pdfa_image_compression', 'auto')
if compression != 'auto':
log.debug(
'Skipping speculative PDF/A: --pdfa-image-compression=%s requires '
'Ghostscript',
compression,
)
return None
if not verapdf.available():
log.debug('verapdf not available, skipping speculative PDF/A conversion')
return None
output_file = context.get_path('speculative_pdfa.pdf')
try:
speculative_pdfa_conversion(input_pdf, output_file, options.output_type)
flavour = verapdf.output_type_to_flavour(options.output_type)
result = verapdf.validate(output_file, flavour)
if result.valid:
log.info('Speculative PDF/A conversion succeeded - skipping Ghostscript')
return output_file
else:
log.debug(
'Speculative PDF/A validation failed (%d rule violations), '
'falling back to Ghostscript',
result.failed_rules,
)
return None
except Exception as e:
log.debug('Speculative PDF/A conversion failed: %s', e)
return None
def try_auto_pdfa(input_pdf: Path, context: PdfContext) -> tuple[Path, str]:
"""Best-effort PDF/A for 'auto' output type.
This function attempts to produce PDF/A without requiring Ghostscript:
1. If verapdf is available, tries speculative conversion with validation
2. Without verapdf, passes through as PDF/A if safe (input already PDF/A
or force-ocr was used)
3. Falls back to regular PDF if neither condition is met
Args:
input_pdf: Path to the PDF to convert
context: The PDF context
Returns:
Tuple of (output_path, actual_output_type) where actual_output_type
is 'pdfa' if PDF/A was achieved, 'pdf' otherwise
"""
from ocrmypdf._exec import verapdf
# If verapdf available, try speculative conversion with validation
if verapdf.available():
result = try_speculative_pdfa(input_pdf, context)
if result is not None:
return (result, 'pdfa')
# verapdf validation failed - fall through to regular PDF
log.info(
'Auto mode: speculative PDF/A validation failed, outputting regular PDF'
)
return (input_pdf, 'pdf')
# Without verapdf, check if we can pass through as PDF/A
if _is_safe_pdfa(input_pdf, context.options):
# Pass through as-is (no modifications needed)
log.info('Auto mode: passing through as PDF/A (input already compliant)')
return (input_pdf, 'pdfa')
# Fall through to regular PDF
log.info('Auto mode: no verapdf available and input is not PDF/A, outputting PDF')
return (input_pdf, 'pdf')
def _is_safe_pdfa(input_pdf: Path, options) -> bool:
"""Check if file can be considered PDF/A without validation.
These are cases where our modifications don't break PDF/A compliance:
1. Input already claims PDF/A (we just grafted OCR text onto it)
2. We used force-ocr (we rewrote the entire PDF from scratch)
Args:
input_pdf: Path to the PDF to check
options: OCR options
Returns:
True if file can safely be considered PDF/A
"""
# Safe if input already claims PDF/A
pdfa_status = file_claims_pdfa(input_pdf)
if pdfa_status['pass']:
return True
# Safe if we rewrote the PDF with force mode
return options.mode == ProcessingMode.force
def should_linearize(working_file: Path, context: PdfContext) -> bool:
"""Determine whether the PDF should be linearized.
For smaller files, linearization is not worth the effort.
"""
filesize = os.stat(working_file).st_size
if filesize > (context.options.fast_web_view * 1_000_000):
return True
return False
return filesize > (context.options.fast_web_view * 1_000_000)
def get_pdf_save_settings(output_type: str) -> dict[str, Any]:
@@ -963,7 +1162,7 @@ def optimize_pdf(
) -> tuple[Path, Sequence[str]]:
"""Optimize the given PDF file."""
output_file = context.get_path('optimize.pdf')
output_pdf, messages = context.plugin_manager.hook.optimize_pdf(
output_pdf, messages = context.plugin_manager.optimize_pdf(
input_pdf=input_file,
output_pdf=output_file,
context=context,
@@ -1027,10 +1226,7 @@ def merge_sidecars(txt_files: Iterable[Path | None], context: PdfContext) -> Pat
# others don't. Remove it if it exists, since we add one manually.
stream.write(txt.removesuffix('\f'))
else:
if from_ != to_:
pages = f'{from_}-{to_}'
else:
pages = f'{from_}'
pages = f"{from_}-{to_}" if from_ != to_ else f"{from_}"
stream.write(f'[OCR skipped on page(s) {pages}]')
return output_file
+139 -47
View File
@@ -3,7 +3,6 @@
from __future__ import annotations
import argparse
import json
import logging
import logging.handlers
@@ -17,14 +16,21 @@ from concurrent.futures.thread import BrokenThreadPool
from contextlib import contextmanager
from dataclasses import dataclass
from pathlib import Path
from typing import NamedTuple, cast
from typing import TYPE_CHECKING, NamedTuple, cast
if TYPE_CHECKING:
from ocrmypdf.hocrtransform import OcrElement
import PIL
import PIL.Image
from pikepdf import Pdf
from ocrmypdf._annots import remove_broken_goto_annotations
from ocrmypdf._concurrent import Executor, setup_executor
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._logging import PageNumberFilter
from ocrmypdf._metadata import metadata_fixup
from ocrmypdf._options import OcrOptions
from ocrmypdf._pipeline import (
convert_to_pdfa,
create_ocr_image,
@@ -33,6 +39,7 @@ from ocrmypdf._pipeline import (
generate_postscript_stub,
get_orientation_correction,
get_pdf_save_settings,
get_pdfinfo,
optimize_pdf,
preprocess_clean,
preprocess_deskew,
@@ -41,6 +48,8 @@ from ocrmypdf._pipeline import (
rasterize_preview,
should_linearize,
should_visible_page_image_use_jpg,
try_auto_pdfa,
try_speculative_pdfa,
)
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf._validation import (
@@ -48,12 +57,14 @@ from ocrmypdf._validation import (
)
from ocrmypdf.exceptions import ExitCode, ExitCodeException
from ocrmypdf.helpers import (
available_cpu_count,
check_pdf,
pikepdf_enable_mmap,
running_in_docker,
running_in_snap,
samefile,
)
from ocrmypdf.pdfa import file_claims_pdfa
from ocrmypdf.pdfinfo import PdfInfo
log = logging.getLogger(__name__)
tls = threading.local()
@@ -99,6 +110,27 @@ class PageResult(NamedTuple):
orientation_correction: int = 0
"""Orientation correction in degrees."""
ocr_tree: OcrElement | None = None
"""Direct OcrElement tree (when using generate_ocr() API)."""
class HOCRResultEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, Path):
return {'Path': str(obj)}
return super().default(obj)
class HOCRResultDecoder(json.JSONDecoder):
def __init__(self, *args, **kwargs):
kwargs['object_hook'] = self.dict_to_object
super().__init__(*args, **kwargs)
def dict_to_object(self, d):
if 'Path' in d:
return Path(d['Path'])
return d
@dataclass
class HOCRResult:
@@ -119,38 +151,17 @@ class HOCRResult:
orientation_correction: int = 0
"""Orientation correction in degrees."""
def __getstate__(self):
"""Return state values to be pickled."""
return {
k: (
('Path://' + str(v))
if k in ('pdf_page_from_image', 'hocr', 'textpdf') and v is not None
else v
)
for k, v in self.__dict__.items()
}
def __setstate__(self, state):
"""Restore state from the unpickled state values."""
self.__dict__.update(
{
k: (
Path(v.removeprefix('Path://'))
if k in ('pdf_page_from_image', 'hocr', 'textpdf') and v is not None
else v
)
for k, v in state.items()
}
)
ocr_tree: OcrElement | None = None
"""Direct OcrElement tree (when using generate_ocr() API)."""
@classmethod
def from_json(cls, json_str: str) -> HOCRResult:
"""Create an instance from a dict."""
return cls(**json.loads(json_str))
return cls(**json.loads(json_str, cls=HOCRResultDecoder))
def to_json(self) -> str:
"""Serialize to a JSON string."""
return json.dumps(self.__getstate__())
return json.dumps(self.__dict__, cls=HOCRResultEncoder)
def configure_debug_logging(
@@ -183,7 +194,7 @@ def configure_debug_logging(
return log_file_handler, remover
def worker_init(max_pixels: int) -> None:
def worker_init(max_pixels: int | None) -> None:
"""Initialize a worker thread or process."""
# In Windows, child process will not inherit our change to this value in
# the parent process, so ensure workers get it set. Not needed when running
@@ -195,7 +206,7 @@ def worker_init(max_pixels: int) -> None:
@contextmanager
def manage_debug_log_handler(
*,
options: argparse.Namespace,
options: OcrOptions,
work_folder: Path,
):
remover = None
@@ -215,6 +226,22 @@ def manage_debug_log_handler(
remover()
def _print_temp_folder_location(work_folder: Path):
"""Print the location of the temporary work folder."""
msgs = [f"Temporary working files retained at:\n{work_folder}"]
if running_in_docker(): # pragma: no cover
msgs.append(
"OCRmyPDF is running in a Docker container, "
"so the files will be inside the container."
)
elif running_in_snap(): # pragma: no cover
msgs.append(
"OCRmyPDF is running in a Snap container, "
"so the files will be inside the container."
)
print('\n'.join(msgs), file=sys.stderr)
@contextmanager
def manage_work_folder(*, work_folder: Path, retain: bool, print_location: bool):
try:
@@ -222,17 +249,14 @@ def manage_work_folder(*, work_folder: Path, retain: bool, print_location: bool)
finally:
if retain:
if print_location:
print(
f"Temporary working files retained at:\n{work_folder}",
file=sys.stderr,
)
_print_temp_folder_location(work_folder)
else:
shutil.rmtree(work_folder, ignore_errors=True)
def cli_exception_handler(
fn: Callable[[argparse.Namespace, OcrmypdfPluginManager], ExitCode],
options: argparse.Namespace,
fn: Callable[[OcrOptions, OcrmypdfPluginManager], ExitCode],
options: OcrOptions,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
"""Convert exceptions into command line error messages and exit codes.
@@ -262,6 +286,16 @@ def cli_exception_handler(
else:
log.error(type(e).__name__)
return e.exit_code
except ValueError as e:
# Convert Pydantic validation errors to BadArgsError for proper exit code
if "validation error" in str(e).lower() or "value error" in str(e).lower():
if options.verbose >= 1:
log.exception("Validation error")
else:
log.error("Invalid argument: %s", str(e))
return ExitCode.bad_args
# Re-raise other ValueErrors to be caught by the general exception handler
raise
except PIL.Image.DecompressionBombError:
log.exception(
"A decompression bomb error was encountered while executing the "
@@ -286,20 +320,44 @@ def cli_exception_handler(
def setup_pipeline(
options: argparse.Namespace,
options: OcrOptions,
plugin_manager: OcrmypdfPluginManager,
) -> Executor:
# Any changes to options will not take effect for options that are already
# bound to function parameters in the pipeline. (For example
# options.input_file, options.pdf_renderer are already bound.)
if not options.jobs:
options.jobs = available_cpu_count()
# Note: OcrOptions is immutable, so we can't modify options.jobs directly
# The jobs field should already be set correctly during OcrOptions creation
# Apply PIL max image pixels side effect
PIL.Image.MAX_IMAGE_PIXELS = int(options.max_image_mpixels * 1_000_000)
if PIL.Image.MAX_IMAGE_PIXELS == 0:
PIL.Image.MAX_IMAGE_PIXELS = None # type: ignore
pikepdf_enable_mmap()
executor = setup_executor(plugin_manager)
return executor
def do_get_pdfinfo(pdf_path: Path, executor: Executor, options) -> PdfInfo:
# Handle pages field - it might be a string that needs conversion
check_pages = options.pages
if isinstance(check_pages, str):
from ocrmypdf._options import _pages_from_ranges
check_pages = _pages_from_ranges(check_pages)
return get_pdfinfo(
pdf_path,
executor=executor,
detailed_analysis=options.redo_ocr,
progbar=options.progress_bar,
max_workers=options.jobs,
use_threads=options.use_threads,
check_pages=check_pages,
)
def preprocess(
page_context: PageContext,
image: Path,
@@ -399,7 +457,7 @@ def process_page(page_context: PageContext) -> tuple[Path, Path | None, int]:
visible_image_out = preprocess_out
if should_visible_page_image_use_jpg(page_context.pageinfo):
visible_image_out = create_visible_page_jpg(visible_image_out, page_context)
filtered_image = page_context.plugin_manager.hook.filter_page_image(
filtered_image = page_context.plugin_manager.filter_page_image(
page=page_context, image_filename=visible_image_out
)
if filtered_image is not None: # None if no hook is present
@@ -414,12 +472,30 @@ def postprocess(
pdf_file: Path, context: PdfContext, executor: Executor
) -> tuple[Path, Sequence[str]]:
"""Postprocess the PDF file."""
pdf_out = pdf_file
if context.options.output_type.startswith('pdfa'):
ps_stub_out = generate_postscript_stub(context)
pdf_out = convert_to_pdfa(pdf_out, ps_stub_out, context)
# pdf_out = pdf_file
with Pdf.open(pdf_file) as pdf:
fix_annots = context.get_path('fix_annots.pdf')
if remove_broken_goto_annotations(pdf):
pdf.save(fix_annots)
pdf_out = fix_annots
else:
pdf_out = pdf_file
if context.options.output_type == 'auto':
# Best effort PDF/A - never uses Ghostscript
pdf_out, actual_type = try_auto_pdfa(pdf_out, context)
# Store actual output type for reporting
context.options.extra_attrs['_actual_output_type'] = actual_type
elif context.options.output_type.startswith('pdfa'):
# Required PDF/A - uses Ghostscript as fallback
speculative_result = try_speculative_pdfa(pdf_out, context)
if speculative_result is not None:
pdf_out = speculative_result
else:
# Fall back to Ghostscript conversion
ps_stub_out = generate_postscript_stub(context)
pdf_out = convert_to_pdfa(pdf_out, ps_stub_out, context)
optimizing = context.plugin_manager.hook.is_optimization_enabled(context=context)
optimizing = context.plugin_manager.is_optimization_enabled(context=context)
save_settings = get_pdf_save_settings(context.options.output_type)
save_settings['linearize'] = not optimizing and should_linearize(pdf_out, context)
@@ -435,13 +511,29 @@ def report_output_pdf(options, start_input_file, optimize_messages) -> ExitCode:
elif samefile(options.output_file, Path(os.devnull)):
pass # Say nothing when sending to dev null
else:
if options.output_type.startswith('pdfa'):
if options.output_type == 'auto':
# For 'auto' mode, check what we actually produced
actual_type = options.extra_attrs.get('_actual_output_type', 'pdf')
pdfa_info = file_claims_pdfa(options.output_file)
if actual_type == 'pdfa' and pdfa_info['pass']:
log.info(
"Output file is a %s (auto mode achieved PDF/A)",
pdfa_info['conformance'],
)
elif pdfa_info['pass']:
# Unexpectedly got PDF/A
log.info("Output file is a %s", pdfa_info['conformance'])
else:
# Regular PDF - this is expected for auto mode fallback
log.info("Output file is a PDF (auto mode)")
elif options.output_type.startswith('pdfa'):
pdfa_info = file_claims_pdfa(options.output_file)
if pdfa_info['pass']:
log.info("Output file is a %s (as expected)", pdfa_info['conformance'])
else:
log.warning(
"Output file is okay but is not PDF/A (seems to be %s)",
"Output file is a valid PDF, but conversion to PDF/A did not "
"succeed (issue: %s)",
pdfa_info['conformance'],
)
return ExitCode.pdfa_conversion_failed
+13 -23
View File
@@ -4,10 +4,8 @@
"""Implements the concurrent and page synchronous parts of the pipeline."""
from __future__ import annotations
import argparse
import logging
import logging.handlers
from collections.abc import Sequence
@@ -18,13 +16,11 @@ import PIL
from ocrmypdf._concurrent import Executor
from ocrmypdf._graft import OcrGrafter
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._pipeline import (
copy_final,
get_pdfinfo,
render_hocr_page,
)
from ocrmypdf._options import OcrOptions
from ocrmypdf._pipeline import copy_final
from ocrmypdf._pipelines._common import (
HOCRResult,
do_get_pdfinfo,
manage_work_folder,
postprocess,
report_output_pdf,
@@ -35,6 +31,7 @@ from ocrmypdf._pipelines._common import (
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf._progressbar import ProgressBar
from ocrmypdf.exceptions import ExitCode
from ocrmypdf.helpers import available_cpu_count
log = logging.getLogger(__name__)
@@ -46,9 +43,8 @@ def _exec_hocrtransform_sync(page_context: PageContext) -> HOCRResult:
# No hOCR file, so no OCR was performed on this page.
return HOCRResult(pageno=page_context.pageno)
hocr_result = HOCRResult.from_json(hocr_json.read_text())
hocr_result.textpdf = render_hocr_page(
page_context.get_path('ocr_hocr.hocr'), page_context
)
# hOCR path is passed directly to the grafting phase where fpdf2 renders it
hocr_result.textpdf = page_context.get_path('ocr_hocr.hocr')
return hocr_result
@@ -56,7 +52,8 @@ def exec_hocr_to_ocr_pdf(context: PdfContext, executor: Executor) -> Sequence[st
"""Convert hOCR files to OCR PDF."""
# Run exec_page_sync on every page
options = context.options
max_workers = min(len(context.pdfinfo), options.jobs)
jobs = options.jobs or available_cpu_count()
max_workers = min(len(context.pdfinfo), jobs)
if max_workers > 1:
log.info("Continue processing %d pages concurrently", max_workers)
@@ -70,7 +67,8 @@ def exec_hocr_to_ocr_pdf(context: PdfContext, executor: Executor) -> Sequence[st
ocrgraft.graft_page(
pageno=result.pageno,
image=result.pdf_page_from_image,
textpdf=result.textpdf,
ocr_output=result.textpdf,
ocr_tree=result.ocr_tree,
autorotate_correction=result.orientation_correction,
)
pbar.update()
@@ -106,7 +104,7 @@ def exec_hocr_to_ocr_pdf(context: PdfContext, executor: Executor) -> Sequence[st
def run_hocr_to_ocr_pdf_pipeline(
options: argparse.Namespace,
options: OcrOptions,
*,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
@@ -118,17 +116,9 @@ def run_hocr_to_ocr_pdf_pipeline(
origin_pdf = work_folder / 'origin.pdf'
# Gather pdfinfo and create context
pdfinfo = get_pdfinfo(
origin_pdf,
executor=executor,
detailed_analysis=options.redo_ocr,
progbar=options.progress_bar,
max_workers=options.jobs,
use_threads=options.use_threads,
check_pages=options.pages,
)
pdfinfo = do_get_pdfinfo(origin_pdf, executor, options)
context = PdfContext(options, work_folder, origin_pdf, pdfinfo, plugin_manager)
plugin_manager.hook.check_options(options=options)
plugin_manager.check_options(options=options)
optimize_messages = exec_hocr_to_ocr_pdf(context, executor)
return report_output_pdf(options, origin_pdf, optimize_messages)
+43 -41
View File
@@ -4,10 +4,8 @@
"""Implements the concurrent and page synchronous parts of the pipeline."""
from __future__ import annotations
import argparse
import logging
import logging.handlers
from collections.abc import Sequence
@@ -20,20 +18,21 @@ import PIL
from ocrmypdf._concurrent import Executor
from ocrmypdf._graft import OcrGrafter
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._options import OcrOptions
from ocrmypdf._pipeline import (
copy_final,
get_pdfinfo,
is_ocr_required,
merge_sidecars,
ocr_engine_direct,
ocr_engine_hocr,
ocr_engine_textonly_pdf,
render_hocr_page,
triage,
validate_pdfinfo_options,
)
from ocrmypdf._pipelines._common import (
PageResult,
cli_exception_handler,
do_get_pdfinfo,
manage_debug_log_handler,
manage_work_folder,
postprocess,
@@ -50,23 +49,32 @@ from ocrmypdf._validation import (
create_input_file,
)
from ocrmypdf.exceptions import ExitCode
from ocrmypdf.helpers import available_cpu_count
from ocrmypdf.models.ocr_element import OcrElement
log = logging.getLogger(__name__)
def _image_to_ocr_text(
page_context: PageContext, ocr_image_out: Path
) -> tuple[Path, Path]:
) -> tuple[Path | None, Path, OcrElement | None]:
"""Run OCR engine on image to create OCR PDF and text file."""
options = page_context.options
if options.pdf_renderer.startswith('hocr'):
hocr_out, text_out = ocr_engine_hocr(ocr_image_out, page_context)
ocr_out = render_hocr_page(hocr_out, page_context)
elif options.pdf_renderer == 'sandwich':
pdf_renderer = options.pdf_renderer
# fpdf2 is the default renderer (auto resolves to fpdf2)
if pdf_renderer in ('auto', 'fpdf2'):
# Use generate_ocr() if the engine supports it, otherwise use hOCR path
ocr_engine = page_context.plugin_manager.get_ocr_engine(options=options)
if ocr_engine and ocr_engine.supports_generate_ocr():
ocr_tree, text_out = ocr_engine_direct(ocr_image_out, page_context)
return None, text_out, ocr_tree
ocr_out, text_out = ocr_engine_hocr(ocr_image_out, page_context)
elif pdf_renderer == 'sandwich':
ocr_out, text_out = ocr_engine_textonly_pdf(ocr_image_out, page_context)
else:
raise NotImplementedError(f"pdf_renderer {options.pdf_renderer}")
return ocr_out, text_out
raise NotImplementedError(f"pdf_renderer {pdf_renderer}")
return ocr_out, text_out, None
def _exec_page_sync(page_context: PageContext) -> PageResult:
@@ -79,22 +87,24 @@ def _exec_page_sync(page_context: PageContext) -> PageResult:
ocr_image_out, pdf_page_from_image_out, orientation_correction = process_page(
page_context
)
ocr_out, text_out = _image_to_ocr_text(page_context, ocr_image_out)
ocr_out, text_out, ocr_tree = _image_to_ocr_text(page_context, ocr_image_out)
return PageResult(
pageno=page_context.pageno,
pdf_page_from_image=pdf_page_from_image_out,
ocr=ocr_out,
text=text_out,
orientation_correction=orientation_correction,
ocr_tree=ocr_tree,
)
def exec_concurrent(context: PdfContext, executor: Executor) -> Sequence[str]:
"""Execute the OCR pipeline concurrently."""
options = context.options
max_workers = min(len(context.pdfinfo), options.jobs)
jobs = options.jobs or available_cpu_count()
max_workers = min(len(context.pdfinfo), jobs)
if max_workers > 1:
log.info("Start processing %d pages concurrently", max_workers)
log.info("Starting processing with %d workers concurrently", max_workers)
sidecars: list[Path | None] = [None] * len(context.pdfinfo)
ocrgraft = OcrGrafter(context)
@@ -104,14 +114,15 @@ def exec_concurrent(context: PdfContext, executor: Executor) -> Sequence[str]:
try:
set_thread_pageno(result.pageno + 1)
sidecars[result.pageno] = result.text
pbar.update()
pbar.update(0.5)
ocrgraft.graft_page(
pageno=result.pageno,
image=result.pdf_page_from_image,
textpdf=result.ocr,
ocr_output=result.ocr,
ocr_tree=result.ocr_tree,
autorotate_correction=result.orientation_correction,
)
pbar.update()
pbar.update(0.5)
finally:
set_thread_pageno(None)
@@ -119,10 +130,9 @@ def exec_concurrent(context: PdfContext, executor: Executor) -> Sequence[str]:
use_threads=options.use_threads,
max_workers=max_workers,
progress_kwargs=dict(
total=(2 * len(context.pdfinfo)),
desc='OCR' if options.tesseract_timeout > 0 else 'Image processing',
total=len(context.pdfinfo),
desc='OCR' if options.ocr_engine != 'none' else 'Image processing',
unit='page',
unit_scale=0.5,
disable=not options.progress_bar,
),
worker_initializer=partial(worker_init, PIL.Image.MAX_IMAGE_PIXELS),
@@ -152,15 +162,16 @@ def exec_concurrent(context: PdfContext, executor: Executor) -> Sequence[str]:
def _run_pipeline(
options: argparse.Namespace,
options: OcrOptions,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
with manage_work_folder(
work_folder=Path(mkdtemp(prefix="ocrmypdf.io.")),
retain=options.keep_temporary_files,
print_location=options.keep_temporary_files,
) as work_folder, manage_debug_log_handler(
options=options, work_folder=work_folder
with (
manage_work_folder(
work_folder=Path(mkdtemp(prefix="ocrmypdf.io.")),
retain=options.keep_temporary_files,
print_location=options.keep_temporary_files,
) as work_folder,
manage_debug_log_handler(options=options, work_folder=work_folder),
):
executor = setup_pipeline(options, plugin_manager)
check_requested_output_file(options)
@@ -172,16 +183,7 @@ def _run_pipeline(
)
# Gather pdfinfo and create context
pdfinfo = get_pdfinfo(
origin_pdf,
executor=executor,
detailed_analysis=options.redo_ocr,
progbar=options.progress_bar,
max_workers=options.jobs,
use_threads=options.use_threads,
check_pages=options.pages,
)
pdfinfo = do_get_pdfinfo(origin_pdf, executor, options)
context = PdfContext(options, work_folder, origin_pdf, pdfinfo, plugin_manager)
# Validate options are okay for this pdf
@@ -195,14 +197,14 @@ def _run_pipeline(
def run_pipeline_cli(
options: argparse.Namespace,
options: OcrOptions,
*,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
"""Run the OCR pipeline with command line exception handling.
Args:
options: The parsed command line options.
options: The parsed OCR options.
plugin_manager: The plugin manager to use. If not provided, one will be
created.
"""
@@ -210,14 +212,14 @@ def run_pipeline_cli(
def run_pipeline(
options: argparse.Namespace,
options: OcrOptions,
*,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
"""Run the OCR pipeline without command line exception handling.
Args:
options: The parsed command line options.
options: The parsed OCR options.
plugin_manager: The plugin manager to use. If not provided, one will be
created.
"""
+12 -20
View File
@@ -4,10 +4,8 @@
"""Implements the concurrent and page synchronous parts of the pipeline."""
from __future__ import annotations
import argparse
import logging
import logging.handlers
import shutil
@@ -17,14 +15,15 @@ import PIL
from ocrmypdf._concurrent import Executor
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._options import OcrOptions
from ocrmypdf._pipeline import (
get_pdfinfo,
is_ocr_required,
ocr_engine_hocr,
validate_pdfinfo_options,
)
from ocrmypdf._pipelines._common import (
HOCRResult,
do_get_pdfinfo,
manage_work_folder,
process_page,
set_thread_pageno,
@@ -32,9 +31,7 @@ from ocrmypdf._pipelines._common import (
worker_init,
)
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf._validation import (
set_lossless_reconstruction,
)
from ocrmypdf.helpers import available_cpu_count
log = logging.getLogger(__name__)
@@ -65,9 +62,10 @@ def exec_pdf_to_hocr(context: PdfContext, executor: Executor) -> None:
"""Execute the OCR pipeline concurrently and output hOCR."""
# Run exec_page_sync on every page
options = context.options
max_workers = min(len(context.pdfinfo), options.jobs)
jobs = options.jobs or available_cpu_count()
max_workers = min(len(context.pdfinfo), jobs)
if max_workers > 1:
log.info("Start processing %d pages concurrently", max_workers)
log.info("Starting processing with %d workers concurrently", max_workers)
executor(
use_threads=options.use_threads,
@@ -86,31 +84,25 @@ def exec_pdf_to_hocr(context: PdfContext, executor: Executor) -> None:
def run_hocr_pipeline(
options: argparse.Namespace,
options: OcrOptions,
*,
plugin_manager: OcrmypdfPluginManager,
) -> None:
"""Run pipeline to output hOCR."""
if options.output_folder is None:
raise ValueError("output_folder must be specified for hOCR pipeline")
with manage_work_folder(
work_folder=options.output_folder, retain=True, print_location=False
) as work_folder:
executor = setup_pipeline(options, plugin_manager)
shutil.copy2(options.input_file, work_folder / 'origin.pdf')
origin_pdf = work_folder / 'origin.pdf'
shutil.copy2(options.input_file, origin_pdf)
# Gather pdfinfo and create context
pdfinfo = get_pdfinfo(
options.input_file,
executor=executor,
detailed_analysis=options.redo_ocr,
progbar=options.progress_bar,
max_workers=options.jobs,
use_threads=options.use_threads,
check_pages=options.pages,
)
pdfinfo = do_get_pdfinfo(origin_pdf, executor, options)
context = PdfContext(
options, work_folder, options.input_file, pdfinfo, plugin_manager
)
# Validate options are okay for this pdf
set_lossless_reconstruction(options)
validate_pdfinfo_options(context)
exec_pdf_to_hocr(context, executor)
+210 -55
View File
@@ -1,33 +1,44 @@
# SPDX-FileCopyrightText: 2022 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Plugin manager using pluggy."""
"""Plugin manager using pluggy with type-safe interface."""
from __future__ import annotations
import argparse
import importlib
import importlib.util
import pkgutil
import sys
from argparse import ArgumentParser
from collections.abc import Sequence
from logging import Handler
from pathlib import Path
from typing import TYPE_CHECKING
import pluggy
from pydantic import BaseModel
import ocrmypdf.builtin_plugins
from ocrmypdf import pluginspec
from ocrmypdf.cli import get_parser, plugins_only_parser
from ocrmypdf import Executor, PdfContext, pluginspec
from ocrmypdf._options import OcrOptions
from ocrmypdf._progressbar import ProgressBar
from ocrmypdf.helpers import Resolution
from ocrmypdf.pluginspec import OcrEngine
if TYPE_CHECKING:
from PIL import Image
from ocrmypdf._jobcontext import PageContext
from ocrmypdf.pdfinfo import PdfInfo
class OcrmypdfPluginManager(pluggy.PluginManager):
"""pluggy.PluginManager that can fork.
class OcrmypdfPluginManager:
"""Type-safe wrapper around pluggy.PluginManager.
Capable of reconstructing itself in child workers.
Capable of reconstructing itself in child workers via pickle.
Arguments:
setup_func: callback that initializes the plugin manager with all
standard plugins
This class provides type-safe methods for all hooks defined in pluginspec.py,
removing the need for unsafe `hook.method_name()` calls.
"""
def __init__(
@@ -37,19 +48,28 @@ class OcrmypdfPluginManager(pluggy.PluginManager):
builtins: bool = True,
**kwargs,
):
self.__init_args = args
self.__init_kwargs = kwargs
self.__plugins = plugins
self.__builtins = builtins
super().__init__(*args, **kwargs)
self.setup_plugins()
self._init_args = args
self._init_kwargs = kwargs
self._plugins = plugins
self._builtins = builtins
self._pm = pluggy.PluginManager(*args, **kwargs)
self._setup_plugins()
@property
def pluggy(self) -> pluggy.PluginManager:
"""Access the underlying pluggy.PluginManager for advanced use cases.
This is useful for plugins that need to call methods like set_blocked()
in their initialize hook.
"""
return self._pm
def __getstate__(self):
state = dict(
init_args=self.__init_args,
plugins=self.__plugins,
builtins=self.__builtins,
init_kwargs=self.__init_kwargs,
init_args=self._init_args,
plugins=self._plugins,
builtins=self._builtins,
init_kwargs=self._init_kwargs,
)
return state
@@ -61,32 +81,23 @@ class OcrmypdfPluginManager(pluggy.PluginManager):
**state['init_kwargs'],
)
def setup_plugins(self):
self.add_hookspecs(pluginspec)
def _setup_plugins(self):
self._pm.add_hookspecs(pluginspec)
# 1. Register builtins
if self.__builtins:
if self._builtins:
for module in sorted(
pkgutil.iter_modules(ocrmypdf.builtin_plugins.__path__)
):
name = f'ocrmypdf.builtin_plugins.{module.name}'
module = importlib.import_module(name)
self.register(module)
self._pm.register(module)
# 2. Install semfree if needed
try:
# pylint: disable=import-outside-toplevel
from multiprocessing.synchronize import SemLock
# 2. Register setuptools plugins
self._pm.load_setuptools_entrypoints('ocrmypdf')
del SemLock
except ImportError:
self.register(importlib.import_module('ocrmypdf.extra_plugins.semfree'))
# 3. Register setuptools plugins
self.load_setuptools_entrypoints('ocrmypdf')
# 4. Register plugins specified on command line
for name in self.__plugins:
# 3. Register plugins specified on command line
for name in self._plugins:
if isinstance(name, Path) or name.endswith('.py'):
# Import by filename
module_name = Path(name).stem
@@ -97,7 +108,167 @@ class OcrmypdfPluginManager(pluggy.PluginManager):
else:
# Import by dotted module name
module = importlib.import_module(name)
self.register(module)
self._pm.register(module)
# =========================================================================
# Type-safe hook methods
# =========================================================================
# --- firstresult hooks ---
def get_logging_console(self) -> Handler | None:
"""Returns a custom logging handler for progress bar compatibility."""
return self._pm.hook.get_logging_console()
def get_executor(self, *, progressbar_class: type[ProgressBar]) -> Executor | None:
"""Returns an executor for parallel processing."""
return self._pm.hook.get_executor(progressbar_class=progressbar_class)
def get_progressbar_class(self) -> type[ProgressBar] | None:
"""Returns a progress bar class."""
return self._pm.hook.get_progressbar_class()
def rasterize_pdf_page(
self,
*,
input_file: Path,
output_file: Path,
raster_device: str,
raster_dpi: Resolution,
pageno: int,
page_dpi: Resolution | None,
rotation: int | None,
filter_vector: bool,
stop_on_soft_error: bool,
options: OcrOptions | None,
use_cropbox: bool,
) -> Path | None:
"""Rasterize one page of a PDF at specified resolution."""
return self._pm.hook.rasterize_pdf_page(
input_file=input_file,
output_file=output_file,
raster_device=raster_device,
raster_dpi=raster_dpi,
pageno=pageno,
page_dpi=page_dpi,
rotation=rotation,
filter_vector=filter_vector,
stop_on_soft_error=stop_on_soft_error,
options=options,
use_cropbox=use_cropbox,
)
def filter_ocr_image(
self, *, page: PageContext, image: Image.Image
) -> Image.Image | None:
"""Filter the image before it is sent to OCR."""
return self._pm.hook.filter_ocr_image(page=page, image=image)
def filter_page_image(
self, *, page: PageContext, image_filename: Path
) -> Path | None:
"""Filter the whole page image before it is inserted into the PDF."""
return self._pm.hook.filter_page_image(page=page, image_filename=image_filename)
def filter_pdf_page(
self, *, page: PageContext, image_filename: Path, output_pdf: Path
) -> Path:
"""Convert a filtered whole page image into a PDF."""
result = self._pm.hook.filter_pdf_page(
page=page, image_filename=image_filename, output_pdf=output_pdf
)
if result is None:
raise ValueError('No PDF produced')
if result != output_pdf:
raise ValueError('filter_pdf_page must return output_pdf')
return result
def get_ocr_engine(self, *, options: OcrOptions | None = None) -> OcrEngine:
"""Returns an OcrEngine to use for processing.
Args:
options: OcrOptions to pass to the hook for engine selection.
"""
result = self._pm.hook.get_ocr_engine(options=options)
if result is None:
raise ValueError('No OCR engine selected')
return result
def generate_pdfa(
self,
*,
pdf_pages: list[Path],
pdfmark: Path,
output_file: Path,
context: PdfContext,
pdf_version: str,
pdfa_part: str,
progressbar_class: type[ProgressBar] | None,
stop_on_soft_error: bool,
) -> Path | None:
"""Generate a PDF/A file."""
return self._pm.hook.generate_pdfa(
pdf_pages=pdf_pages,
pdfmark=pdfmark,
output_file=output_file,
context=context,
pdf_version=pdf_version,
pdfa_part=pdfa_part,
progressbar_class=progressbar_class,
stop_on_soft_error=stop_on_soft_error,
)
def optimize_pdf(
self,
*,
input_pdf: Path,
output_pdf: Path,
context: PdfContext,
executor: Executor,
linearize: bool,
) -> tuple[Path, Sequence[str]]:
"""Optimize a PDF after OCR processing."""
result = self._pm.hook.optimize_pdf(
input_pdf=input_pdf,
output_pdf=output_pdf,
context=context,
executor=executor,
linearize=linearize,
)
if result is None:
return input_pdf, []
return result
def is_optimization_enabled(self, *, context: PdfContext) -> bool | None:
"""Returns whether optimization is enabled for given context."""
return self._pm.hook.is_optimization_enabled(context=context)
# --- non-firstresult hooks ---
def initialize(self, *, plugin_manager: pluggy.PluginManager) -> list[None]:
"""Called when plugins are first loaded.
Args:
plugin_manager: The underlying pluggy.PluginManager, allowing
plugins to call methods like set_blocked().
"""
return self._pm.hook.initialize(plugin_manager=plugin_manager)
def add_options(self, *, parser: ArgumentParser) -> list[None]:
"""Allows plugins to add command line and API arguments."""
return self._pm.hook.add_options(parser=parser)
def register_options(self) -> list[dict[str, type[BaseModel]]]:
"""Returns plugin option models keyed by namespace."""
return self._pm.hook.register_options()
def check_options(self, *, options: OcrOptions) -> list[None]:
"""Called to validate options after parsing."""
return self._pm.hook.check_options(options=options)
def validate(self, *, pdfinfo: PdfInfo, options: OcrOptions) -> list[None]:
"""Called to validate options and pdfinfo after PDF is loaded."""
return self._pm.hook.validate(pdfinfo=pdfinfo, options=options)
def get_plugin_manager(
@@ -110,20 +281,4 @@ def get_plugin_manager(
)
def get_parser_options_plugins(
args: Sequence[str],
) -> tuple[argparse.ArgumentParser, argparse.Namespace, pluggy.PluginManager]:
pre_options, _unused = plugins_only_parser.parse_known_args(args=args)
plugin_manager = get_plugin_manager(pre_options.plugins)
parser = get_parser()
plugin_manager.hook.initialize( # pylint: disable=no-member
plugin_manager=plugin_manager
)
plugin_manager.hook.add_options(parser=parser) # pylint: disable=no-member
options = parser.parse_args(args=args)
return parser, options, plugin_manager
__all__ = ['OcrmypdfPluginManager', 'get_plugin_manager', 'get_parser_options_plugins']
__all__ = ['OcrmypdfPluginManager', 'get_plugin_manager']
+50
View File
@@ -0,0 +1,50 @@
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Plugin option registry for dynamic model composition."""
from __future__ import annotations
import logging
from pydantic import BaseModel
log = logging.getLogger(__name__)
class PluginOptionRegistry:
"""Registry for plugin option models.
This registry collects option models from plugins during initialization.
Plugin options can be accessed via nested namespaces on OcrOptions
(e.g., options.tesseract.timeout) or via flat field names for backward
compatibility (e.g., options.tesseract_timeout).
"""
def __init__(self):
self._option_models: dict[str, type[BaseModel]] = {}
def register_option_model(
self, namespace: str, model_class: type[BaseModel]
) -> None:
"""Register a plugin's option model.
Args:
namespace: The namespace for the plugin options (e.g., 'tesseract')
model_class: The Pydantic model class for the plugin options
"""
if namespace in self._option_models:
log.warning(
f"Plugin option namespace '{namespace}' already registered, overriding"
)
self._option_models[namespace] = model_class
log.debug(
f"Registered plugin option model for namespace '{namespace}': "
f"{model_class.__name__}"
)
def get_registered_models(self) -> dict[str, type[BaseModel]]:
"""Get all registered plugin option models."""
return self._option_models.copy()
+124 -15
View File
@@ -32,12 +32,84 @@ class ProgressBar(Protocol):
The progress bar is held in the main process/thread and not updated by child
process/threads. When a child notifies the parent of completed work, the
parent updates the progress bar.
Progress bars should never write to ``sys.stdout``, or they will corrupt the
output if OCRmyPDF writes a PDF to standard output.
The type of events that OCRmyPDF reports to a progress bar may change in
Note:
The type of events that OCRmyPDF reports to a progress bar may change in
minor releases.
Args:
total (int | float | None):
The total number of work units expected. If ``None``, the total is unknown.
For example, if you are processing pages, this might be the number of pages,
or if you are measuring overall progress in percent, this might be 100.
desc (str | None):
A brief description of the current step (e.g. "Scanning contents",
"OCR", "PDF/A conversion"). OCRmyPDF updates this before each major step.
unit (str | None):
A short label for the type of work being tracked
(e.g. "page", "%", "image").
disable (bool):
If ``True``, progress updates are suppressed (no output).
Defaults to ``False``.
**kwargs:
Future or extra parameters that OCRmyPDF might pass. Implementations
should accept and ignore unrecognized keywords gracefully.
Example:
A simple plugin implementation could look like this:
.. code-block:: python
from ocrmypdf.pluginspec import ProgressBar
from ocrmypdf import hookimpl
class ConsoleProgressBar(ProgressBar):
def __init__(self, *, total=None, desc=None, unit=None, disable=False,
**kwargs):
self.total = total
self.desc = desc
self.unit = unit
self.disable = disable
self.current = 0
def __enter__(self):
if not self.disable:
print(f"Starting {self.desc or 'an OCR task'} "
f"(total={self.total} {self.unit})"
)
return self
def __exit__(self, exc_type, exc_value, traceback):
if not self.disable:
if exc_type is None:
print("Completed successfully.")
else:
print(f"Task ended with error: {exc_value}")
return False # Let OCRmyPDF raise any exceptions
def update(self, n=1, *, completed=None):
if completed is not None:
# If 'completed' is given, set self.current
# but let's just read it to show usage
print(f"Absolute completion reported: {completed}")
# Otherwise, we increment by 'n'
self.current += n
if not self.disable:
if self.total:
percent = (self.current / self.total) * 100
print(
f"{self.desc}: {self.current}"
f"/{self.total} ({percent:.1f}%)"
)
else:
print(f"{self.desc}: {self.current} units done")
@hookimpl
def get_progressbar_class():
return MyProgressBar
"""
def __init__(
@@ -51,13 +123,22 @@ class ProgressBar(Protocol):
):
"""Initialize a progress bar.
*total* indicates the total number of work units. If None, the total
number of work units is unknown. If *disable* is True, the progress bar
should be disabled. *unit* is a description of the work unit.
*desc* is a description of the overall task to be performed.
This is called once before any work is done. OCRmyPDF supplies the total
number of units (or None if unknown), a description of the work, and the
type of units. The ``disable`` parameter can be used to turn off progress
reporting. Unrecognized keyword arguments should be ignored.
Unrecognized keyword arguments must be ignored, as the list of keyword
arguments may grow with time.
Args:
total (int | float | None):
The total amount of work. If ``None``, the total is unknown.
desc (str | None):
A description of the current task. May change for different stages.
unit (str | None):
A short label for the unit of work.
disable (bool):
If ``True``, no output or logging should be displayed.
**kwargs:
Extra parameters that may be passed by OCRmyPDF in future versions.
"""
def __enter__(self):
@@ -66,10 +147,32 @@ class ProgressBar(Protocol):
def __exit__(self, *args):
"""Exit a progress bar context."""
def update(self, n=1):
"""Update the progress bar by an increment.
def update(self, n: float = 1, *, completed: float | None = None):
"""Increment the progress bar by ``n`` units, or set an absolute completion.
For use within a progress bar context.
OCRmyPDF calls this method repeatedly while processing pages or other tasks.
If your total is known and you track it, you might do something like:
.. code-block:: python
self.current += n
percent = (self.current / total) * 100
The ``completed`` argument can indicate an absolute position, which is
particularly helpful if you're tracking a percentage of work (e.g., 0 to 100)
and want precise updates. In contrast, the incremental parameter ``n`` is
often more useful for page-based increments.
Args:
n (float, optional):
The amount to increment the progress by. Defaults to 1. May be
fractional if OCRmyPDF performs partial steps. If you are tracking
pages, this is typically how many pages have been processed in the
most recent step.
completed (float | None, optional):
The absolute amount of work completed so far. This can override or
supplement the simple increment logic. It's particularly useful
for percentage-based tracking (e.g., when ``total`` is 100).
"""
@@ -85,7 +188,7 @@ class NullProgressBar:
def __exit__(self, exc_type, exc_value, traceback):
return False
def update(self, _arg=None):
def update(self, _arg=None, *, completed=None):
return
@@ -103,6 +206,7 @@ class RichProgressBar:
disable: bool = False,
**kwargs,
):
self._entered = False
self.progress = Progress(
TextColumn(
"[progress.description]{task.description}",
@@ -130,6 +234,7 @@ class RichProgressBar:
def __enter__(self):
self.progress.start()
self._entered = True
return self
def __exit__(self, exc_type, exc_value, traceback):
@@ -137,6 +242,10 @@ class RichProgressBar:
self.progress.stop()
return False
def update(self, value=None):
advance = self.unit_scale if value is None else value
self.progress.update(self.progress_bar, advance=advance)
def update(self, n=1, *, completed=None):
assert self._entered, "Progress bar must be entered before updating"
if completed is None:
advance = self.unit_scale if n is None else n
self.progress.update(self.progress_bar, advance=advance)
else:
self.progress.update(self.progress_bar, completed=completed)
+64 -156
View File
@@ -6,41 +6,36 @@
from __future__ import annotations
import locale
import logging
import os
import sys
import unicodedata
from argparse import Namespace
from collections.abc import Sequence
from pathlib import Path
from shutil import copyfileobj
import pikepdf
import PIL
from pluggy import PluginManager
from ocrmypdf._defaults import DEFAULT_ROTATE_PAGES_THRESHOLD
from ocrmypdf._exec import unpaper
from ocrmypdf._options import OcrOptions
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf.exceptions import (
BadArgsError,
InputFileError,
MissingDependencyError,
OutputFileAccessError,
)
from ocrmypdf.helpers import is_file_writable, monotonic, safe_symlink
from ocrmypdf.helpers import (
is_file_writable,
running_in_docker,
running_in_snap,
safe_symlink,
)
from ocrmypdf.subprocess import check_external_program
# -------------
# External dependencies
DEFAULT_LANGUAGE = 'eng' # Enforce English hegemony
log = logging.getLogger(__name__)
# --------
def check_platform() -> None:
if sys.maxsize <= 2**32: # pragma: no cover
log.warning(
@@ -52,15 +47,22 @@ def check_platform() -> None:
def check_options_languages(
options: Namespace, ocr_engine_languages: list[str]
options: OcrOptions, ocr_engine_languages: list[str]
) -> None:
if not options.languages:
options.languages = [DEFAULT_LANGUAGE]
system_lang = locale.getlocale()[0]
if system_lang and not system_lang.startswith('en'):
log.debug("No language specified; assuming --language %s", DEFAULT_LANGUAGE)
# Check for blocked languages first, before checking if they're installed
DENIED_LANGUAGES = {'equ', 'osd'}
blocked = DENIED_LANGUAGES & set(options.languages)
if blocked:
raise BadArgsError(
"The following languages are for Tesseract's internal use and "
"should not be issued explicitly: "
f"{', '.join(blocked)}\n"
"Remove them from the -l/--language argument."
)
if not ocr_engine_languages:
return
missing_languages = set(options.languages) - set(ocr_engine_languages)
if missing_languages:
lang_text = '\n'.join(lang for lang in missing_languages)
@@ -81,36 +83,7 @@ def check_options_languages(
raise MissingDependencyError(msg)
def check_options_output(options: Namespace) -> None:
if options.output_type == 'none' and options.output_file not in (os.devnull, '-'):
raise BadArgsError(
"Since you specified `--output-type none`, the output file "
f"{options.output_file} cannot be produced. Set the output file to "
f"`-` to suppress this message."
)
def set_lossless_reconstruction(options: Namespace) -> None:
lossless_reconstruction = False
if not any(
(
options.deskew,
options.clean_final,
options.force_ocr,
options.remove_background,
)
):
lossless_reconstruction = True
options.lossless_reconstruction = lossless_reconstruction
if not options.lossless_reconstruction and options.redo_ocr:
raise BadArgsError(
"--redo-ocr is not currently compatible with --deskew, "
"--clean-final, and --remove-background"
)
def check_options_sidecar(options: Namespace) -> None:
def check_options_sidecar(options: OcrOptions) -> None:
if options.sidecar == '\0':
if options.output_file == '-':
raise BadArgsError("--sidecar filename needed when output file is stdout.")
@@ -125,132 +98,65 @@ def check_options_sidecar(options: Namespace) -> None:
)
def check_options_preprocessing(options: Namespace) -> None:
def check_options_preprocessing(options: OcrOptions) -> None:
if options.clean_final:
options.clean = True
if options.unpaper_args and not options.clean:
raise BadArgsError("--clean is required for --unpaper-args")
if (
options.rotate_pages_threshold != DEFAULT_ROTATE_PAGES_THRESHOLD
and not options.rotate_pages
):
raise BadArgsError("--rotate-pages is required for --rotate-pages-threshold")
if options.clean:
check_external_program(
program='unpaper',
package='unpaper',
version_checker=unpaper.version,
need_version='6.1',
required_for="--clean, --clean-final", # Problem arguments
)
try:
if options.unpaper_args:
options.unpaper_args = unpaper.validate_custom_args(
options.unpaper_args
)
except Exception as e:
raise BadArgsError("--unpaper-args: " + str(e)) from e
def _pages_from_ranges(ranges: str) -> set[int]:
pages: list[int] = []
page_groups = ranges.replace(' ', '').split(',')
for group in page_groups:
if not group:
continue
try:
start, end = group.split('-')
except ValueError:
pages.append(int(group) - 1)
else:
try:
new_pages = list(range(int(start) - 1, int(end)))
if not new_pages:
raise BadArgsError(
f"invalid page subrange '{start}-{end}'"
) from None
pages.extend(new_pages)
except ValueError:
raise BadArgsError(f"invalid page subrange '{group}'") from None
if not pages:
raise BadArgsError(
f"The string of page ranges '{ranges}' did not contain any recognizable "
f"page ranges."
required_for="--clean, --clean-final",
)
if not monotonic(pages):
log.warning(
"List of pages to process contains duplicate pages, or pages that are "
"out of order"
)
if any(page < 0 for page in pages):
raise BadArgsError("pages refers to a page number less than 1")
log.debug("OCRing only these pages: %s", pages)
return set(pages)
def check_options_ocr_behavior(options: Namespace) -> None:
exclusive_options = sum(
(1 if opt else 0)
for opt in (options.force_ocr, options.skip_text, options.redo_ocr)
)
if exclusive_options >= 2:
raise BadArgsError("Choose only one of --force-ocr, --skip-text, --redo-ocr.")
if options.pages:
options.pages = _pages_from_ranges(options.pages)
def check_options_metadata(options: Namespace) -> None:
docinfo = [options.title, options.author, options.keywords, options.subject]
for s in (m for m in docinfo if m):
for char in s:
if unicodedata.category(char) == 'Co' or ord(char) >= 0x10000:
hexchar = hex(ord(char))[2:].upper()
raise ValueError(
"One of the metadata strings contains "
"an unsupported Unicode character: "
f"{char} (U+{hexchar})"
)
def check_options_pillow(options: Namespace) -> None:
PIL.Image.MAX_IMAGE_PIXELS = int(options.max_image_mpixels * 1_000_000)
if PIL.Image.MAX_IMAGE_PIXELS == 0:
PIL.Image.MAX_IMAGE_PIXELS = None # type: ignore
def _check_plugin_invariant_options(options: Namespace) -> None:
def _check_plugin_invariant_options(options: OcrOptions) -> None:
check_platform()
check_options_metadata(options)
check_options_output(options)
set_lossless_reconstruction(options)
check_options_sidecar(options)
check_options_preprocessing(options)
check_options_ocr_behavior(options)
check_options_pillow(options)
def _check_plugin_options(options: Namespace, plugin_manager: PluginManager) -> None:
plugin_manager.hook.check_options(options=options)
ocr_engine_languages = plugin_manager.hook.get_ocr_engine().languages(options)
def _check_plugin_options(
options: OcrOptions, plugin_manager: OcrmypdfPluginManager
) -> None:
# First, let plugins check their external dependencies
plugin_manager.check_options(options=options)
# Then check OCR engine language support
ocr_engine_languages = plugin_manager.get_ocr_engine(options=options).languages(
options
)
check_options_languages(options, ocr_engine_languages)
# Finally, run comprehensive validation using the coordinator
from ocrmypdf._validation_coordinator import ValidationCoordinator
def check_options(options: Namespace, plugin_manager: PluginManager) -> None:
coordinator = ValidationCoordinator(plugin_manager)
coordinator.validate_all_options(options)
def check_options(options: OcrOptions, plugin_manager: OcrmypdfPluginManager) -> None:
"""Check options for validity and consistency.
This function coordinates validation across the entire system:
1. Core validation (platform, files, preprocessing)
2. Plugin external dependency validation
3. Plugin-specific validation (handled by plugin models)
4. Cross-cutting validation (handled by validation coordinator)
"""
_check_plugin_invariant_options(options)
_check_plugin_options(options, plugin_manager)
def _in_docker():
return Path('/.dockerenv').exists()
def _in_snap():
try:
cgroup_text = Path('/proc/self/cgroup').read_text()
return 'snap.ocrmypdf' in cgroup_text
except FileNotFoundError:
return False
def create_input_file(options: Namespace, work_folder: Path) -> tuple[Path, str]:
def create_input_file(options: OcrOptions, work_folder: Path) -> tuple[Path, str]:
if options.input_file == '-':
# stdin
log.info('reading file from standard input')
@@ -273,7 +179,7 @@ def create_input_file(options: Namespace, work_folder: Path) -> tuple[Path, str]
return target, os.fspath(options.input_file)
except FileNotFoundError as e:
msg = f"File not found - {options.input_file}"
if _in_docker(): # pragma: no cover
if running_in_docker(): # pragma: no cover
msg += (
"\nDocker cannot access your working directory unless you "
"explicitly share it with the Docker container and set up"
@@ -283,7 +189,7 @@ def create_input_file(options: Namespace, work_folder: Path) -> tuple[Path, str]
"\tdocker run -i --rm jbarlow83/ocrmypdf - - <input.pdf >output.pdf"
"\n"
)
elif _in_snap(): # pragma: no cover
elif running_in_snap(): # pragma: no cover
msg += (
"\nSnap applications cannot access files outside of "
"your home directory unless you explicitly allow it. "
@@ -295,7 +201,7 @@ def create_input_file(options: Namespace, work_folder: Path) -> tuple[Path, str]
raise InputFileError(msg) from e
def check_requested_output_file(options: Namespace) -> None:
def check_requested_output_file(options: OcrOptions) -> None:
if options.output_file == '-':
if sys.stdout.isatty():
raise BadArgsError(
@@ -313,7 +219,7 @@ def check_requested_output_file(options: Namespace) -> None:
def report_output_file_size(
options: Namespace,
options: OcrOptions,
input_file: Path,
output_file: Path,
optimize_messages: Sequence[str] | None = None,
@@ -342,13 +248,15 @@ def report_output_file_size(
'clean_final',
'remove_background',
'oversample',
'force_ocr',
}
for arg in image_preproc:
if getattr(options, arg, False):
reasons.append(
f"--{arg.replace('_', '-')} was issued, causing transcoding."
)
# Check force_ocr via the backward-compatible property
if options.force_ocr:
reasons.append("--force-ocr (or --mode force) was issued, causing transcoding.")
reasons.extend(optimize_messages)

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