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521 Commits
Author SHA1 Message Date
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
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
...

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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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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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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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
James R. Barlow a9e1d19b78 v16.1.2 release notes 2024-03-20 12:56:13 -07:00
James R. Barlow f95aa63718 Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-03-20 12:26:02 -07:00
James Barlow 855de287b2 Fix test suite failure with Ghostscript >= 10.3
Ghostscript is more picky about a specific case with SMask that cannot be converted to PDF/A

Details here
https://github.com/ArtifexSoftware/ghostpdl/commit/4dcfae36bb4dcbc4ef3b5e5afc98bcde0d6b9ddc
2024-03-19 17:20:33 -07:00
NilsRoandGitHub feeb9f213f batch example: added archive, small corrections and optimizations (#1277)
* Added archive, small corrections

Added a function to archive originals and avoid calling ocrmypdf if they are still is PDF/A.

* Added Copyright
2024-03-18 13:22:24 -07:00
Emiel MolenaarandGitHub e7eb8fa805 Update Dockerfile.alpine (#1268)
Use Alpine 3.19 as base image to ensure we get GhostScript 10.2.1 to eliminate serious regressions that corrupt PDFs with existing text.
2024-03-13 14:49:42 -07:00
James R. Barlow 8a747f005a pixels -> megapixels
Fixes #1265
2024-02-29 15:31:07 -08:00
James R. Barlow 16ab4a8b4e Fix error message about missing Python exec
Message is
unable to start container process: exec: "python": executable file not found in $PATH: unknown.

Closes #1260
2024-02-21 23:54:41 -08:00
James R. Barlow 8d30cff4ef Undo future annotations from watcher.py till Typer fixes its issue
Fixes #1258
2024-02-20 19:14:39 -08:00
James R. Barlow 59d5b0d1bd v16.1.1 release notes 2024-02-15 16:56:25 -08:00
James R. Barlow 9ec0745ab8 Try pypy3.10 2024-02-14 14:25:13 -08:00
James R. Barlow 3a3635f7f9 Python 3.10 cleanup, manual fixes 2024-02-14 12:48:17 -08:00
James R. Barlow 6a746a1cbb ruff linting/Python 3.10 cleanup 2024-02-14 12:41:51 -08:00
James R. Barlow 906c130f96 Update rust toml settings 2024-02-14 12:32:26 -08:00
James R. Barlow 4a78458821 v16.1.0 release notes 2024-02-12 01:46:21 -08:00
James R. Barlow fddf3ce2f4 Clarify warnings filter 2024-02-12 01:43:47 -08:00
James R. Barlow 353b34e695 Merge branch 'feature/pageboxes' 2024-02-12 01:41:56 -08:00
James R. Barlow 7d63355c3c Use hocr renderer for LTR languages 2024-02-12 01:41:41 -08:00
James R. Barlow 42ff7fc842 Fix handling of pages that are restored to correct orientation with /Rotate
Appears inversion of CTM was incorrect, introduced in commit 9898904
2024-02-12 01:32:26 -08:00
James R. Barlow 26470fe16a Suppress reportlab deprecation warning 2024-02-12 01:17:08 -08:00
James R. Barlow 3b9d4b7f0a Attempt to deal with oddball mediaboxes 2024-02-11 15:34:54 -08:00
James R. Barlow 11f53fe9a9 First cut at propagating page boxes
This would fix the immediate issue, but does not address an offset mediabox.
2024-02-11 15:34:54 -08:00
James R. Barlow 123c0c766f Mention pipx, install --user --upgrade
Closes #1249
2024-02-08 09:42:00 -08:00
James R. Barlow 6a9be2142e Advise Homebrew on Linux for Ubuntu 20.04 2024-02-07 19:52:50 -08:00
James R. Barlow 0bc350f55e Merge branch 'main' of github.com:ocrmypdf/OCRmyPDF 2024-02-06 01:28:10 -08:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
7a6edf62ba Bump codecov/codecov-action from 3 to 4 (#1247)
Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 3 to 4.
- [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/v3...v4)

---
updated-dependencies:
- dependency-name: codecov/codecov-action
  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>
2024-02-05 03:55:13 -08:00
James R. Barlow 07b6f06f11 optimize: log images with unclear decode tables 2024-02-01 15:42:40 -08:00
nisbet-hubbardandGitHub 2005f622bb Update gs dependency & instructions for RHEL (#1228)
* Update gs depedency to 9.54

* Add instructions for RHEL

* Update instruction for using python3.11 on RHEL
2024-01-24 10:07:58 -08:00
James R. Barlow cca04fd799 Document ability to remove all OCR 2024-01-23 23:35:43 -08:00
MaxiandGitHub 75bf8e4ba2 Add autotools automake libtool and leptonica requirements (#1230)
These tools are required for a successful install of JBIG2 on Ubuntu
2024-01-09 11:58:17 -08:00
Anish SapkotaandGitHub daabb5b100 Minor english correction in Docs (#1229) 2024-01-08 10:18:26 -08:00
James R. Barlow 035ebea72f Change Windows build to use older Ghostscript 2024-01-07 01:56:38 -08:00
James R. Barlow a499956462 v16.0.4 release notes 2024-01-07 01:39:06 -08:00
James R. Barlow 74d2a156c4 Update cache 2024-01-07 01:35:05 -08:00
James R. Barlow f87fc7b12d gs: check for text-corrupting versions 2024-01-07 01:33:49 -08:00
James R. Barlow 602f5632cb hocr: fix unbound local 2024-01-07 01:33:36 -08:00
James R. Barlow 9fbbcf7599 Merge branch 'feature/hocrdebug' 2024-01-07 01:22:54 -08:00
James R. Barlow 9498f01f59 hocr: Pass text direction for standalone words 2024-01-06 16:21:21 -08:00
James R. Barlow 2c59aca5a1 Fix render_mode ON_TOP when previous content stream does not restore CTM 2024-01-06 16:20:55 -08:00
James R. Barlow 51301d69c9 Change default graft render mode back to underneath
It was mistakenly changed to on top at some point
2024-01-06 16:20:30 -08:00
James R. Barlow 7e608fd1df Use Courier as debug font 2024-01-06 14:24:25 -08:00
James R. Barlow ecc79315df Adjust issue template files description 2024-01-04 00:27:06 -08:00
James R. Barlow 14365d10b8 Skip testing oom killer on Python 3.12
Need to investigate further if there's a safe way to do this test.
2024-01-02 16:28:22 -08:00
James R. Barlow 5e5320020f v16.0.3 release notes 2024-01-02 02:49:54 -08:00
James R. Barlow 103c3e0cd6 Drop Ghostscript CVE warning and adjust version down to 9.54
Most distros have probably now backported the CVE fix. Dropped version to 9.54 so RHEL 9 can use recent ocrmypdf.
2024-01-01 13:02:57 -08:00
Anthony NabilandGitHub 7a1c89edd9 fixed a spelling mistake (#1222) 2023-12-30 15:53:22 -08:00
James R. Barlow a5ff3d2f42 Update instructions about custom language packages
Closes #1218
2023-12-27 16:46:10 -08:00
James R. Barlow b71d16dd96 Draw RTL text with reversed matrix instead of reversing characters 2023-12-24 01:34:03 -08:00
James R. Barlow fd593eb5e9 Reversing character order for RTL helps output 2023-12-24 01:24:44 -08:00
James R. Barlow a0b98abb94 Improve and externalize debug rendering settings 2023-12-24 00:10:09 -08:00
James R. Barlow 18353e1e94 Also fix space rendering 2023-12-24 00:09:47 -08:00
James R. Barlow 9adcad84da Overhaul debug rendering to support possible use of Helvetica for testing 2023-12-23 23:47:35 -08:00
James R. Barlow f2714586d8 Fix upside down glyphless font 2023-12-23 23:44:37 -08:00
James R. Barlow 0b6fb62967 Update issue template 2023-12-23 16:21:17 -08:00
James R. Barlow 1db8b0b943 Temporarily revert default renderer to sandwich while investigating regressions in macOS Preview 2023-12-23 16:19:44 -08:00
James R. Barlow f38aebb3d5 Update issue template 2023-12-23 15:46:43 -08:00
James R. Barlow 7162c36d37 Name artifacts explicitly 2023-12-20 13:53:31 -08:00
James R. Barlow f4d4ea46c8 Update artifact actions 2023-12-20 12:44:43 -08:00
James R. Barlow 2fd1a0f178 v16.0.1 release notes 2023-12-20 12:33:41 -08:00
James R. Barlow 73ed33a086 Tighten dependencies 2023-12-20 12:33:18 -08:00
James R. Barlow e6095a9949 Fix text rendering issue with new hOCR text renderer 2023-12-20 12:26:06 -08:00
James R. Barlow 16f05af401 Fix release notes - drop rc from version 2023-12-18 20:08:45 -08:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
1631afc878 Bump actions/setup-python from 4 to 5 (#1205)
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 4 to 5.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/setup-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>
2023-12-17 15:35:13 -08:00
Robin RichtsfeldandGitHub 63d87fc440 Fix --fast-web-view documentation (#1206) 2023-12-17 14:54:38 -08:00
James R. Barlow 9489c01259 Skip test_encrypted on Py3.12 + macOS 2023-12-08 00:12:24 -08:00
James R. Barlow 30d92ad83f Fix build settings to adjust for dropping py39 2023-12-07 23:40:45 -08:00
James R. Barlow a4987733c4 Filter rl_safe_eval deprecation warning
Full message
eportlab/lib/rl_safe_eval.py:11: DeprecationWarning: ast.NameConstant is deprecated and will be removed in Python 3.14; use ast.Constant instead
    haveNameConstant = hasattr(ast,'NameConstant')

Warning triggered by reportlab-4.0.7 and Python 3.12
2023-12-07 23:40:23 -08:00
James R. Barlow 39eee05230 v16.0.0rc1 release notes
Fixes #1009, #1191, #1157
2023-12-03 15:44:34 -08:00
James R. Barlow 5b2f2e6290 Merge branch 'feature/modernhocr' 2023-12-03 15:17:02 -08:00
James R. Barlow 445617a1a5 Rebuild cache for hocr default case 2023-12-03 15:16:18 -08:00
James R. Barlow f6e90a5934 hOCR renderer is now default 2023-12-02 19:58:00 -08:00
James R. Barlow 43618e6b3f Move canvas API to pikepdf and import it 2023-12-02 19:42:35 -08:00
James R. Barlow e97f89de3b Refactor font so glyphless isn't as hard coded 2023-12-02 08:55:01 -08:00
James R. Barlow 11d3e32f1e Fix hocrtransform CLI 2023-12-02 08:08:29 -08:00
James R. Barlow 2affa83efe Remove code that attempted to manage xattrs out of output file
Feature requested in issue #1179, but caused #1195. On further review,
there is no platform independent way to manage extended attributes
and it is not clear copying them through is necessarily the sensible
thing to do.

Closes #1179.
2023-11-29 23:25:51 -08:00
James R. Barlow c90d5cd84b Fix Ghostscript installation instructions and add warning 2023-11-29 14:10:04 -08:00
James R. Barlow aacaba3d26 Ignore pypy for now 2023-11-21 01:05:23 -08:00
James R. Barlow fec53be841 Remove next major release deprecations 2023-11-21 00:47:51 -08:00
James R. Barlow 3f7b540f76 Drop Python 3.9 support 2023-11-21 00:46:00 -08:00
James R. Barlow d217856166 Make hocrdebug work, and try to handle CJK spacing better 2023-11-21 00:33:02 -08:00
James R. Barlow e2be457e9b Avoid divzero 2023-11-20 23:08:00 -08:00
James R. Barlow 4850f486d2 Make text API more like an accessor 2023-11-20 22:59:50 -08:00
James R. Barlow 729c7febd9 Fix placement of spaces in debug mode 2023-11-20 22:44:12 -08:00
James R. Barlow 6c6aca2f1e Refactor save_state 2023-11-20 22:29:21 -08:00
James R. Barlow c69823f496 Refactor; accumulate content stream as bytes rather than discrete pikepdf objects 2023-11-20 22:11:59 -08:00
James R. Barlow 73f8f6aac8 Add RTL output - seems to work, but debug does not 2023-11-20 20:28:07 -08:00
James R. Barlow d944254e45 hocr: typing cont'd 2023-11-20 17:07:52 -08:00
James R. Barlow f7ddffe554 hocr: typing 2023-11-20 16:52:55 -08:00
James R. Barlow 8a73ed5d5a Fix JBIG2 not updating progress bar 2023-11-20 16:25:30 -08:00
James R. Barlow 03669183d7 Rationalize canvas interface 2023-11-20 15:54:13 -08:00
James R. Barlow 74e101a2fa Improve canvas interface with chaining 2023-11-20 14:42:48 -08:00
James R. Barlow 532cf18ad3 Restructure hocrtransform submodule to avoid having everything in __init__ 2023-11-20 00:57:58 -08:00
James R. Barlow 0b90b697e2 More tidying 2023-11-20 00:43:43 -08:00
James R. Barlow 6be7c5f7c8 Fix colors and space box rendering 2023-11-20 00:30:54 -08:00
James R. Barlow db2e5132e6 Remove some obsolete parameters 2023-11-20 00:10:55 -08:00
James R. Barlow b14f6f778a Tidying new hOCR renderer 2023-11-19 23:51:27 -08:00
James R. Barlow 415de77457 imageops: fix annots since not using singledispatch anymore 2023-11-19 23:51:27 -08:00
James R. Barlow a9466c4f58 Improve word box positioning 2023-11-19 23:51:27 -08:00
James R. Barlow d9ae453a63 Significantly improvement overall 2023-11-19 23:51:27 -08:00
James R. Barlow 9841e09233 More adjustments 2023-11-19 23:51:27 -08:00
James R. Barlow 0ca314e066 Replace Rect with pikepdf.Rectangle, migrate line matrix to page 2023-11-19 23:51:27 -08:00
James R. Barlow d7680cae27 Correcting Matrix logic helps
The good: don't have to do inverse and intermediate transforms.

The bad: skew looks bad, partly because the hOCR coordinate system is inconsistent around skew?
2023-11-19 23:51:27 -08:00
James R. Barlow 491b6bdb1f Remove concept of HOCR_OK_LANGS 2023-11-19 23:51:27 -08:00
James R. Barlow c591f9601a Remove Latin hOCR test 2023-11-19 23:51:27 -08:00
James R. Barlow 8d1e75017e Remote reportlab backend and make reportlab a test-only dependency 2023-11-19 23:51:27 -08:00
James R. Barlow 94615f7ad4 hOCR now works for all languages 2023-11-19 23:51:27 -08:00
James R. Barlow e5df8e1315 Nearly pixel perfect 2023-11-19 23:51:27 -08:00
James R. Barlow d739b91aef Tidy up 2023-11-19 23:51:27 -08:00
James R. Barlow 686cfb2539 Add rendering of space between boxes 2023-11-19 23:51:27 -08:00
James R. Barlow 2633716bb7 Render interword spaces separately and avoid box overlap 2023-11-19 23:51:27 -08:00
James R. Barlow 0a07c0a44e Fix more things 2023-11-19 23:51:27 -08:00
James R. Barlow 2ca6e110ca Fix private accessors, rename pdf to canvas 2023-11-19 23:51:27 -08:00
James R. Barlow 334a07c839 Refactor debug printing 2023-11-19 23:51:27 -08:00
James R. Barlow a57c39358d Refactor: extract methods 2023-11-19 23:51:27 -08:00
James R. Barlow 30a0c315fb Further exploratory improvements 2023-11-19 23:51:27 -08:00
James R. Barlow b860f0d94c Make coordinate system more consistent 2023-11-19 23:51:27 -08:00
James R. Barlow 14f4c19f5a WIP improve text positioning (not there yet) 2023-11-19 23:51:27 -08:00
James R. Barlow 7ab5c55d46 More colors 2023-11-19 23:51:27 -08:00
James R. Barlow 8b6ecd5971 Fix line and rect drawing 2023-11-19 23:51:27 -08:00
James R. Barlow 7b0871ae4c Fix position errors; ignore non-glyphless font 2023-11-19 23:51:27 -08:00
James R. Barlow b73af7ce10 Fix dashes 2023-11-19 23:51:26 -08:00
James R. Barlow 60645717e2 Test pikepdf canvas - renders... something at this point 2023-11-19 23:51:26 -08:00
James R. Barlow 1cbf578538 Fix import of pdf.ttf 2023-11-19 23:51:26 -08:00
James R. Barlow e966c1fceb Add pdf.ttf 2023-11-19 23:51:26 -08:00
James R. Barlow d0133f8641 Create pikepdf backend renderer 2023-11-19 23:51:26 -08:00
James R. Barlow 6d30b497dc Refactor reportlab into generic backend 2023-11-19 23:51:26 -08:00
James R. Barlow f3b89e66eb Refactor reportlab backend out of hocrtransform 2023-11-19 23:51:26 -08:00
James R. Barlow 04154e207c hocrtransform: move to module 2023-11-19 23:51:26 -08:00
James R. Barlow 9898904be7 Fix pikepdf PdfMatrix deprecation warning; v15.4.3 release notes 2023-11-15 20:27:16 -08:00
James R. Barlow 27d5229842 Make logger names unique 2023-11-09 23:03:39 -08:00
James R. Barlow 4a9a575ef0 ghostscript: better comments 2023-11-09 22:39:49 -08:00
James R. Barlow 52fd9a630d v15.4.2 release notes 2023-11-09 22:35:51 -08:00
James R. Barlow a596ccf844 Raise exception if resulting PDF might appear blank in a known in some PDF viewers
Fixes #1187
2023-11-09 22:33:22 -08:00
James R. Barlow e7fa97731f ghostscript duplicate filter: filter within a window of previous messages 2023-11-09 22:32:39 -08:00
James R. Barlow 290aa28108 Fix error on attempt to write to debug log after removing debug log handler 2023-11-09 16:02:41 -08:00
James R. Barlow a95640ed9e v15.4.1 release notes
Closes #1185
Closes #1183
2023-11-07 23:57:30 -08:00
James R. Barlow f69267bb67 watcher: restore ability to read json from file or command line string 2023-11-07 18:05:29 -08:00
James R. Barlow e36d5a309f Make grafting a little bit more configurable 2023-11-05 14:01:01 -08:00
James R. Barlow 55566d9830 Fix watcher.py kwarg error 2023-11-05 13:58:24 -08:00
James R. Barlow f02ea20678 docs: plugin documentation missing key special members 2023-11-05 00:10:51 -07:00
James R. Barlow 372c22d42b docs: improve 2023-11-04 02:43:08 -07:00
James R. Barlow 949265bbd0 graft: improve typing and remove procset tracking
ProcSet is optional and deprecated in PDF 2.0, and does little anyway; so
we removed it.
2023-11-04 02:32:39 -07:00
James R. Barlow 916106733c Skip semfree unless on Linux 2023-10-30 00:33:21 -07:00
James R. Barlow 44bcafd3aa Add missing file header 2023-10-30 00:28:09 -07:00
James R. Barlow 71166f7be8 Make hocr API experimental for now
This commit can be reverted when we are ready to release a new version.
2023-10-30 00:07:10 -07:00
James R. Barlow 580252a1a0 Merge branch 'feature/gscan2pdf'
Reconcile release notes and copy_final() with new pipeline.
2023-10-30 00:01:28 -07:00
James R. Barlow c0b60dae6a build: add repository -y 2023-10-29 23:41:36 -07:00
James R. Barlow ae123fd209 Try to retain/copy xattrs 2023-10-28 01:42:06 -07:00
James R. Barlow 454ad0acc5 build/macos: add openssl 2023-10-28 01:41:28 -07:00
James R. Barlow 0c306ac328 v15.3.1 release ntoes 2023-10-28 00:49:37 -07:00
James R. Barlow 52d99732b1 Fix mistakes with watcher loglevel handling 2023-10-28 00:47:40 -07:00
James R. Barlow 5b5827983b Tweak documentation of --output-type 2023-10-26 23:57:08 -07:00
James R. Barlow 56f9bc311d Improve verbosity of colorspace selection 2023-10-25 00:38:56 -07:00
James R. Barlow eb17dc1ecf Fix pdf save settings at metadata_fixup 2023-10-25 00:13:17 -07:00
James R. Barlow 6f8115a052 Fix import of metadata_fixup 2023-10-25 00:06:26 -07:00
James R. Barlow aac913c666 tesseract: EAFP 2023-10-24 13:50:04 -07:00
James R. Barlow b5e73ac4e4 Drop check for obsolete .dockerinit file 2023-10-24 13:49:46 -07:00
James R. Barlow 9e98c90891 docs: note on docker performance 2023-10-24 13:34:26 -07:00
James R. Barlow ca2592c1d9 Update draft release notes 2023-10-24 00:56:00 -07:00
James R. Barlow a31f17bb9d Update comments and make worker functions private 2023-10-24 00:56:00 -07:00
James R. Barlow 1cb46afa94 Update pluginspec docs 2023-10-24 00:56:00 -07:00
James R. Barlow 5a759947dd Update release notes so far 2023-10-24 00:56:00 -07:00
James R. Barlow db3df13e95 Remove ocrmypdf._sync 2023-10-24 00:54:31 -07:00
James R. Barlow 2a8bc03167 optimize: typing 2023-10-24 00:54:31 -07:00
James R. Barlow d2297b39d0 info: clarify ICC -> components checking 2023-10-24 00:54:31 -07:00
James R. Barlow e4cd081d4d info: clarify pageinfo context management 2023-10-24 00:54:31 -07:00
James R. Barlow d2dbea6cf8 Reorganize progress bars so they can be typed properly 2023-10-24 00:54:31 -07:00
James R. Barlow 46a279a49a Improve passing of arguments to workers
The executor system was built around passing only a single
argument to workers, which was
always PageContext. For other tasks, all actual arguments were packed in
a tuple, which meant we needed intermediate functions to unpack the
tuple.

The situation is now rationlized and resembles how Python handles
argument passing to familiar multiprocessing tools.
2023-10-24 00:54:31 -07:00
James R. Barlow 299f0c4003 Update dep5 2023-10-24 00:54:31 -07:00
James R. Barlow 9ffb45f283 Remove public domain congress.jpg and replace with baiona_color.jpg
For reuse compliance we are phasing out public domain licenses
2023-10-24 00:54:31 -07:00
James R. Barlow cd61c4efd9 pngquant: remove unused ability to quantize a non-PNG
Covering testing showed this branch was never used, and when tested it didn't work.
2023-10-24 00:54:31 -07:00
James R. Barlow a06ab2a1c5 unpaper: Remove format conversion
Code is no longer reachable since we rasterize a 1/L/RGB image prior to this point.
2023-10-24 00:54:31 -07:00
James R. Barlow dfa4ebf1a6 Simplify function signature of extract_image_filter 2023-10-24 00:54:31 -07:00
James R. Barlow 58f388c69d optimize: better coverage 2023-10-24 00:54:31 -07:00
James R. Barlow 990b462a94 Fix coverage settings and cover semfree 2023-10-24 00:54:31 -07:00
James R. Barlow b928dc0808 Skip fewer tests 2023-10-24 00:54:31 -07:00
James R. Barlow 8916955f45 Convert many run_ocrmypdf -> run_ocrmypdf_api 2023-10-24 00:54:31 -07:00
James R. Barlow 82bef40aa6 Eliminate more run_ocrmypdf calls 2023-10-24 00:54:31 -07:00
James R. Barlow 1c45f32941 tests: replace many run_ocrmypdf -> run_ocrmypdf_api 2023-10-24 00:54:31 -07:00
James R. Barlow fadc0cf69b Replace cryptic test error messages with more informative ones 2023-10-24 00:54:31 -07:00
James R. Barlow 7ce9d08b2d Define progress bar plugins formally instead of "tqdm-like" 2023-10-24 00:54:31 -07:00
James R. Barlow eb3a51e33a Prefer pikepdf's newer Page.mediabox accessor over .MediaBox 2023-10-24 00:54:31 -07:00
James R. Barlow f3dd733773 optimize: explore page container as objects instead of page helpers 2023-10-24 00:54:31 -07:00
James R. Barlow 4dbc5e1dba Fix some typing issues 2023-10-24 00:54:31 -07:00
James R. Barlow c0637c287e vscode isn't ready for black py312, revert 2023-10-24 00:54:31 -07:00
James R. Barlow 6127f7abd6 tqdm_kwargs to progress_kwargs 2023-10-24 00:54:31 -07:00
James R. Barlow a4059762e6 Fix hocrtransform test to generate blank hocr 2023-10-24 00:54:31 -07:00
James R. Barlow 40afcd68a7 pluginspec: spacing 2023-10-24 00:54:31 -07:00
James R. Barlow f238e721ed Improve documentation of new public hOCR APIs 2023-10-24 00:54:31 -07:00
James R. Barlow 16eb5627a7 Fix unused imports and other trivia 2023-10-24 00:54:31 -07:00
James R. Barlow fbf0674189 hocr_to_ocr_pdf: handle missing hocr json file 2023-10-24 00:54:31 -07:00
James R. Barlow 62c4f65fc3 Remove duplicate thread local storage of page numbers 2023-10-24 00:54:31 -07:00
James R. Barlow e400112f32 Improve ._pipelines naming 2023-10-24 00:54:31 -07:00
James R. Barlow 7935914f55 Use empty .hocr file instead of dummy template for symmetry with sandwich 2023-10-24 00:54:31 -07:00
James R. Barlow ad3a1dbbad deps: update PyMuPDF req 2023-10-24 00:54:31 -07:00
James R. Barlow 0655f8e7ae Add py312 to black coverage 2023-10-24 00:54:30 -07:00
James R. Barlow 04a9372584 docs: some copyediting 2023-10-24 00:54:30 -07:00
James R. Barlow b9646b6f85 Enable multiprocessing freeze_support (for Windows) and enable forkserver
Since we use a thread for logging among other possibilities, we were
never able to use threads safely when forking. forkserver will do the job.
2023-10-24 00:54:30 -07:00
James R. Barlow 53c953a561 Fix use_threads logic for get_pdfinfo
Some debug code was level in place that forced pdfinfo to run with only
one worker when --use-threads was issued. That is how it ought to be,
since threaded pdfinfo workers just fight over the GIL and there is no
sense in parallelizing them.

Also, the user's --use-threads or --no-use-threads would be ignored in
the case of pdfinfo. By setting max_workers=1 we disabled worker processes.

This fixes how that decision is made (putting it in the relevant code, which
knows its constraints) and allows the user to influence the
thread/process decision again.
2023-10-24 00:54:30 -07:00
James R. Barlow c278fecb34 Rename post_process -> postprocess
For consistency with preprocess
2023-10-24 00:54:30 -07:00
James R. Barlow 23951c9e38 Working HOCR folder to PDF converter 2023-10-24 00:54:30 -07:00
James R. Barlow e8ae370ceb Eliminate api= kwarg and implicit creation of pluginmanager 2023-10-24 00:54:30 -07:00
James R. Barlow 67be4d1904 Refactor CLI exception handling 2023-10-24 00:54:30 -07:00
James R. Barlow 6f82097d14 Refactor setup_pipeline to decouple manage_work_folder 2023-10-24 00:54:30 -07:00
James R. Barlow fc6f959d21 Refactor debug log and work folder context cleanup 2023-10-24 00:54:30 -07:00
James R. Barlow e38d569d8f languages: kwargs are overkill 2023-10-24 00:54:30 -07:00
James R. Barlow 0856750ee2 Fix exit code error on Ghostscript failure 2023-10-24 00:54:30 -07:00
James R. Barlow 05721ba84a Fix error on no languages available 2023-10-24 00:54:30 -07:00
James R. Barlow 38c3422e5e Automatically set document language to OCR language 2023-10-24 00:54:30 -07:00
James R. Barlow d153a6f6df Refactor metadata handling 2023-10-24 00:54:30 -07:00
James R. Barlow 1a7738a925 Refactor -migrate metadata repair to new module 2023-10-24 00:54:30 -07:00
James R. Barlow 8985c0dfe9 Refactor setup_pipeline to context manager 2023-10-24 00:52:31 -07:00
James R. Barlow ebfe008432 Refactor logging record thread local storage 2023-10-24 00:52:31 -07:00
James R. Barlow 1f16eb6f50 Refactor main pipeline into discrete pipelines
- test_ghostscript_pdfa_failure fails
- haven't dealt with logging record factories

Further refactoring and duplicate elimination
2023-10-24 00:52:31 -07:00
James R. Barlow cbb0868ae3 Add hocr to ocr pdf pipeline 2023-10-24 00:52:31 -07:00
James R. Barlow 68bb38d0ad pdf_to_hocr: improve plugin handling 2023-10-24 00:52:31 -07:00
James R. Barlow 0443e87345 Introduce pdf_to_hocr API 2023-10-24 00:52:31 -07:00
James R. Barlow b3de5833d3 Refactor conversion of ocrmypdf.ocr() arguments to cmdline 2023-10-24 00:52:31 -07:00
James R. Barlow 95b14ee282 Refactor lossless reconstruction setter into separate function
Still messy but good enough as a start.
2023-10-24 00:52:31 -07:00
James R. Barlow 07b89e6a19 Plugin manager: set reasonable default when called without params 2023-10-24 00:52:31 -07:00
James R. Barlow 8991d2cb33 Refactor main pipeline and start hocr pipeline 2023-10-24 00:52:31 -07:00
James R. Barlow 86a20c4130 Refactor exec_page_sync to outputs 2023-10-24 00:52:31 -07:00
James R. Barlow 6827a6efe8 Refactor exec_page_sync -> extract _process_page 2023-10-24 00:52:31 -07:00
James R. Barlow c6b5332699 Test on release py312 not py312-rc 2023-10-21 15:17:07 -07:00
Michael FlaggandGitHub 68610046c6 Correct the archive dir name in Watched folders with Docker (#1173) 2023-10-21 14:59:33 -07:00
James R. Barlow 880326868d v15.3.0 release notes 2023-10-21 14:59:09 -07:00
James R. Barlow c6be3ba076 watcher: Improve parameter validation 2023-10-20 20:11:00 -07:00
James R. Barlow 0565cb0b10 misc/watcher.py: use Typer and dotenv to improve ease of use 2023-10-20 19:56:39 -07:00
James R. Barlow dc49906704 Improve wait_for_file_ready loop 2023-10-20 19:55:50 -07:00
James R. Barlow 93fda0dd00 Detect and warn about Tagged PDFs 2023-10-12 01:03:09 -07:00
James R. Barlow d4110e78cb Fix "pikepdf mmap disabled" spam on macOS 2023-10-11 01:24:29 -07:00
James R. Barlow 5285d68fcc Add check for filenotfound due to being inside a snap 2023-10-11 01:02:50 -07:00
James R. Barlow 2b0e149809 Update docker document and v15.2.0 release notes 2023-10-10 01:25:26 -07:00
James R. Barlow b7ce5b0d7d Don't build docker alpine aarch64 for now and add alias tag for Ubuntu 2023-10-09 17:36:08 -07:00
James R. Barlow ffd6a64ce9 Attempt at alpine on arm64 - not working
pip attempts to download musllinux_1_1 wheels and can't find pikepdf's which is only 1_2. Not clear how to fix.
2023-10-09 17:34:28 -07:00
James R. Barlow 5727f1e081 Test docker alpine build and ubuntu aliasing 2023-10-09 15:08:38 -07:00
James R. Barlow b75a7eca2a Alpine image: Fix missing OSD and path 2023-10-09 14:59:56 -07:00
James R. Barlow 2b01676434 docker docs: remove VirtualBox content and update a few explanations 2023-10-09 14:57:55 -07:00
James R. Barlow e11c386c58 Add Alpine dockerfile 2023-10-09 14:35:52 -07:00
James R. Barlow 9346d1f970 Simplify deep nested with-block 2023-10-09 02:30:30 -07:00
James R. Barlow 012cbef865 v15.1.0 release notes 2023-10-04 00:16:22 -07:00
James R. Barlow 0687568e1b sync: update documentation 2023-10-04 00:05:27 -07:00
James R. Barlow 3086cfc3d9 pipeline: documentation and tweak merge_sidecars 2023-10-04 00:05:19 -07:00
James R. Barlow 91a14660b3 Require Pillow >= 10.0.1 and drop shims for older versions 2023-10-04 00:04:28 -07:00
James R. Barlow 539f0ee0ce Document some missing CLI options to API 2023-10-03 23:54:24 -07:00
James R. Barlow 7172817cd6 Replace ExitStack with contextmanager 2023-10-02 16:52:06 -07:00
James R. Barlow d9cc759142 Fix typos in release notes 2023-10-02 02:49:01 -07:00
James R. Barlow 364799fc3e Fix typing for pdinfo.layout and modernize
Also changed handling of undefined chars to be more Liskov-consistent with parent class.
2023-10-01 01:18:22 -07:00
James R. Barlow f4c211fa2d Use Python 3.9-style type hinting for tuple[] and AbstractSet -> Set 2023-10-01 00:09:05 -07:00
James R. Barlow 113a6b45bd ruff autofixes (mostly typing.* -> collections.abc.*) 2023-10-01 00:02:53 -07:00
James R. Barlow e9419d2c40 Update notes on concurrency 2023-09-30 17:05:58 -07:00
James R. Barlow fb006ef39f v15.0.2 release notes 2023-09-29 00:56:09 -07:00
James R. Barlow 890b994403 docs: update to discuss some v15 features not yet documented 2023-09-27 00:40:05 -07:00
James R. Barlow 01bbf7d144 docs: mention new features in v15, fix 32-bit text again 2023-09-27 00:14:19 -07:00
James R. Barlow 468de5324a Add Python 3.12 to test matrix 2023-09-26 20:20:33 -07:00
James R. Barlow 072db75fa3 v15.0.1 release notes (again) 2023-09-26 20:09:04 -07:00
James R. Barlow 8519b3f625 docs: clarify situation around 32-bit support
Maintainers of ARM 32-bit in particular don't necessarily need to drop support....
2023-09-26 20:06:33 -07:00
James R. Barlow dd7c4f3eaa docs: update install notes for some things missed with v15 release 2023-09-26 20:04:30 -07:00
James R. Barlow c8e6f20f8d Change 32-bit message from error to warning 2023-09-26 20:03:06 -07:00
James R. Barlow 10530a8698 Change Ghostscript version skip to fail
Reported to fail on earlier versions than the check tested for.
2023-09-26 20:02:52 -07:00
James R. Barlow 207866abf5 v15.0.1 release notes 2023-09-26 15:56:53 -07:00
James R. Barlow 3829af16fb Fix bdist_wheel tag set to py38 2023-09-26 15:46:47 -07:00
James R. Barlow 24db31b4c5 Innocuous change to bump tag 2023-09-26 12:25:02 -07:00
261 changed files with 19963 additions and 10256 deletions
+34 -27
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:24.04 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 \
@@ -29,40 +25,49 @@ 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:0.6.14 /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 test --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 \
jbig2dec \
img2pdf \
libsm6 libxext6 libxrender-dev \
pngquant \
tesseract-ocr \
tesseract-ocr-chi-sim \
@@ -79,11 +84,13 @@ 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"]
+80
View File
@@ -0,0 +1,80 @@
# SPDX-FileCopyrightText: 2023 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
# Note: Alpine 3.20 builds tesseract with --enable-opencl, which is not
# supported by anyone. OCRmyPDF is not compatible with Alpine 3.20.0
# through 3.20.3. The issue is fixed in 3.21.
# Details
# https://gitlab.alpinelinux.org/alpine/aports/-/issues/16143
# https://github.com/ocrmypdf/OCRmyPDF/issues/1395
FROM alpine:3.21 AS base
ENV LANG=C.UTF-8
ENV TZ=UTC
RUN apk add --no-cache \
python3 \
zlib
FROM base AS builder
# Yes it really is python3-dev, and py3-package
RUN apk add --no-cache \
ca-certificates \
git \
python3-dev \
py3-pyarrow \
curl
WORKDIR /app
COPY --from=ghcr.io/astral-sh/uv:0.6.14 /uv /uvx /bin/
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 test --extra webservice --extra watcher --no-dev \
--no-install-package pyarrow
FROM base
RUN apk add --no-cache \
ghostscript \
jbig2dec \
jbig2enc \
pngquant \
tesseract-ocr \
tesseract-ocr-data-chi_sim \
tesseract-ocr-data-deu \
tesseract-ocr-data-eng \
tesseract-ocr-data-fra \
tesseract-ocr-data-osd \
tesseract-ocr-data-por \
tesseract-ocr-data-spa \
ttf-droid \
unpaper \
&& rm -rf /var/cache/apk/*
WORKDIR /app
COPY --from=builder --chown=app:app /app /app
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"]
@@ -1,7 +1,7 @@
name: General issues
name: Installation, packaging, dependencies
description: Installation, packages, dependencies, "nothing works", test suite failures...
title: "[Bug]: "
labels: ["bug", "triage"]
labels: ["triage"]
assignees:
- jbarlow83
body:
@@ -9,6 +9,10 @@ body:
attributes:
value: |
Thanks for taking the time to fill out this bug report!
If your issue involves using OCRmyPDF on specific file(s) and not getting
good results, this is the *wrong* issue template. Please use the recommended
template to ensure we have enough information to help.
- type: textarea
id: what-happened
attributes:
@@ -20,7 +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.)
@@ -33,6 +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:
@@ -43,6 +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:
@@ -21,7 +21,7 @@ body:
id: reproduce
attributes:
label: Steps to reproduce
description: Please include steps to reproduce
description: Please include steps to reproduce.
value: |
1. Run ocrmypdf -v1 ...arguments... input.pdf output.pdf
2. Open output.pdf
@@ -31,8 +31,21 @@ body:
id: files
attributes:
label: Files
description: Please attach the input and output files, or any screenshots that may be helpful.
placeholder: Drag and drop files here
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 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
omits personal information.
placeholder: |
Drag and drop files here.
- type: dropdown
id: packaging-system
attributes:
+83
View File
@@ -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
+135 -69
View File
@@ -21,37 +21,36 @@ jobs:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-22.04, ubuntu-24.04]
python: ["3.10", "3.11", "3.12", "3.13"]
include:
- os: ubuntu-22.04
python: "3.9"
- os: ubuntu-22.04
tesseract_ppa: "ppa"
python: "3.10"
- os: ubuntu-22.04
python: "3.11"
#- os: ubuntu-latest
# python: "pypy3.9"
- os: ubuntu-22.04
python: "3.9"
tesseract5: true
env:
OS: ${{ matrix.os }}
PYTHON: ${{ matrix.python }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v5
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
- uses: actions/setup-python@v4
name: Install Python
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.5.x"
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python }}
- name: Install Tesseract 5
if: matrix.tesseract5
- name: Install Tesseract from PPA
if: matrix.tesseract_ppa == 'ppa'
run: |
sudo add-apt-repository ppa:alex-p/tesseract-ocr-devel
sudo add-apt-repository -y ppa:alex-p/tesseract-ocr5.3
- name: Install common packages
run: |
@@ -59,6 +58,7 @@ jobs:
sudo apt-get install -y --no-install-recommends \
curl \
ghostscript \
jbig2dec \
img2pdf \
libexempi8 \
libffi-dev \
@@ -72,18 +72,9 @@ 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 --extra test --no-dev
- name: Report versions
run: |
@@ -91,14 +82,16 @@ 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@v3
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
files: ./coverage.xml
env_vars: OS,PYTHON
@@ -108,15 +101,15 @@ jobs:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [macos-latest]
python: ["3.10", "3.11"]
os: [macos-latest] # macos-latest is arm64, macos-13 (unsupported) is x86_64
python: ["3.10", "3.11", "3.12", "3.13"]
env:
OS: ${{ matrix.os }}
PYTHON: ${{ matrix.python }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v5
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
@@ -132,29 +125,35 @@ jobs:
pngquant \
tesseract
- uses: actions/setup-python@v4
name: Install Python
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.5.x"
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python }}
- name: Install Python packages
run: |
python -m pip install --upgrade pip wheel
python -m pip install --prefer-binary .[test]
uv sync --extra test --no-dev
- 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@v3
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
files: ./coverage.xml
env_vars: OS,PYTHON
@@ -165,38 +164,44 @@ jobs:
strategy:
matrix:
os: [windows-latest]
python: ["3.10", "3.11"]
python: ["3.10", "3.11", "3.12", "3.13"]
env:
OS: ${{ matrix.os }}
PYTHON: ${{ matrix.python }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v5
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
- uses: actions/setup-python@v4
name: Install Python
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.5.x"
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python }}
- name: Install system packages
run: |
choco install --yes --no-progress --pre tesseract
choco install --yes --no-progress --ignore-checksums ghostscript
choco install --yes --no-progress --ignore-checksums ghostscript --version 9.56.1
- name: Install Python packages
run: |
python -m pip install --upgrade pip wheel
python -m pip install --prefer-binary .[test]
uv sync --extra test --no-dev
- 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@v3
uses: codecov/codecov-action@v5
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
files: ./coverage.xml
env_vars: OS,PYTHON
@@ -205,22 +210,22 @@ jobs:
name: Build sdist and wheels
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v5
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
- uses: actions/setup-python@v4
name: Install Python
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
python-version: "3.9"
version: "0.5.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@v3
- uses: actions/upload-artifact@v4
with:
name: artifact
path: |
./dist/*.whl
./dist/*.tar.gz
@@ -234,7 +239,7 @@ jobs:
id-token: write # mandatory for PyPI publishing
if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v')
steps:
- uses: actions/download-artifact@v3
- uses: actions/download-artifact@v5
with:
name: artifact
path: dist
@@ -244,32 +249,48 @@ 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@v3
- uses: actions/download-artifact@v5
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@v3.0.1
with:
upload_url: ${{ steps.create-release.outputs.upload_url }}
asset_path: |
./dist/*.whl
inputs: |
./dist/*.tar.gz
./dist/*.whl
docker:
name: Build Docker images
- 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
needs: [wheel_sdist_linux, test_linux, test_macos, test_windows]
runs-on: ubuntu-latest
if: github.event_name != 'pull_request'
@@ -287,7 +308,7 @@ jobs:
- name: Set image name
run: echo "DOCKER_IMAGE_NAME=ocrmypdf" >> $GITHUB_ENV
- uses: actions/checkout@v4
- uses: actions/checkout@v5
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
@@ -313,4 +334,49 @@ jobs:
--push \
--platform linux/arm64/v8,linux/amd64 \
--tag "${DOCKER_REPOSITORY}/${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_TAG}" \
--tag "${DOCKER_REPOSITORY}/${DOCKER_IMAGE_NAME}-ubuntu:${DOCKER_IMAGE_TAG}" \
--file .docker/Dockerfile .
docker_alpine:
name: Build Alpine-based Docker images
needs: [wheel_sdist_linux, test_linux, test_macos, test_windows]
runs-on: ubuntu-latest
if: github.event_name != 'pull_request'
steps:
- name: Set image tag to release or branch
run: echo "DOCKER_IMAGE_TAG=${GITHUB_REF##*/}" >> $GITHUB_ENV
- name: If main, set to latest
run: echo 'DOCKER_IMAGE_TAG=latest' >> $GITHUB_ENV
if: env.DOCKER_IMAGE_TAG == 'main'
- name: Set Docker Hub repository to username
run: echo "DOCKER_REPOSITORY=jbarlow83" >> $GITHUB_ENV
- name: Set image name
run: echo "DOCKER_IMAGE_NAME=ocrmypdf-alpine" >> $GITHUB_ENV
- uses: actions/checkout@v5
with:
fetch-depth: "0" # 0=all, needed for setuptools-scm to resolve version tags
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: jbarlow83
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Print image tag
run: echo "Building image ${DOCKER_REPOSITORY}/${DOCKER_IMAGE_NAME}:${DOCKER_IMAGE_TAG}"
- name: Build
run: |
docker buildx build \
--push \
--platform linux/amd64,linux/arm64 \
--tag "${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
+3
View File
@@ -44,3 +44,6 @@ docs/_build/
docs/_static/
docs/_templates/
docs/Makefile
src/ocrmypdf/_version.py
.idea/
+1 -5
View File
@@ -11,15 +11,11 @@ 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: "3.9"
python: "3.10"
python:
install:
-133
View File
@@ -1,133 +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
setup.cfg
Copyright: (C) 2022 James R. Barlow
License: MPL-2.0
Files:
.github/ISSUE_TEMPLATE/*.md
docs/images/macos-workflow.png
Copyright: (C) 2022 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/missing_docinfo.pdf
tests/resources/negzero.pdf
tests/resources/no_contents.pdf
tests/resources/toc.pdf
tests/resources/trivial.pdf
tests/resources/truetype_font_nomapping.pdf
tests/resources/type3_font_nomapping.pdf
misc/screencast/*
Copyright: (C) 2022 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/congress.jpg
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/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: 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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5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
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See the License for the specific language governing permissions and
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+33 -4
View File
@@ -39,8 +39,8 @@ ocrmypdf # it's a scriptable command line program
- Distributes work across all available CPU cores
- Uses [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) engine to recognize more than [100 languages](https://github.com/tesseract-ocr/tessdata)
- Keeps your private data private.
- Scales properly to handle files with thousands of pages
- Battle-tested on millions of PDFs
- Scales properly to handle files with thousands of pages.
- Battle-tested on millions of PDFs.
<img src="misc/screencast/demo.svg" alt="Demo of OCRmyPDF in a terminal session">
@@ -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.
@@ -92,6 +93,10 @@ apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified lan
# 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
```
@@ -112,9 +117,33 @@ 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 convert to PDF/A
ocrmypdf 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.
## Press & Media
+173
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@@ -0,0 +1,173 @@
# 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。
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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.
```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.)
```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.
## 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`.
```{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
-408
View File
@@ -1,408 +0,0 @@
.. 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
-------------------
Separate from these settings, 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`` 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 ``sandwich``.
The ``sandwich`` renderer
-------------------------
The ``sandwich`` renderer uses Tesseract's new text-only PDF feature,
which produces a PDF page that lays out the OCR in invisible text. This
page is then "sandwiched" onto the original PDF page, allowing lossless
application of OCR even to PDF pages that contain other vector objects.
Currently this is the best renderer for most uses, however it is
implemented in Tesseract so OCRmyPDF cannot influence it. Currently some
problematic PDF viewers like Mozilla PDF.js and macOS Preview have
problems with segmenting its text output, and
mightrunseveralwordstogether.
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.
The ``hocr`` renderer
---------------------
The ``hocr`` renderer works with older versions of Tesseract. The image
layer is copied from the original PDF page if possible, avoiding
potentially lossy transcoding or loss of other PDF information. If
preprocessing is specified, then the image layer is a new PDF. (You may
need to disable PDF/A conversion nad optimization to eliminate all
lossy transformations.)
Unlike ``sandwich`` this renderer is implemented within OCRmyPDF; anyone
looking to customize how OCR is presented should look here. A major
disadvantage of this renderer is it not capable of correctly handling
text outside the Latin alphabet (specifically, it supports the ISO 8859-1
character). Pull requests to improve the situation are welcome.
Currently, this renderer has the best compatibility with Mozilla's
PDF.js viewer.
This works in all versions of Tesseract.
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.
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
+119
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@@ -0,0 +1,119 @@
% 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.
```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:
```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.
-121
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@@ -1,121 +0,0 @@
.. 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 a monitoring thread
- create worker processes (on Linux, forking itself; on Windows and macOS, by
spawning)
- 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.
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 ``tqdm`` 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.
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.
Programs that call OCRmyPDF should consider trapping KeyboardInterrupt
so that they allow OCR to terminate with the whole program terminating.
When OCRmyPDF succeeds conditionally, it returns an integer exit code.
Reference
---------
.. autofunction:: ocrmypdf.ocr
.. autoclass:: ocrmypdf.Verbosity
:members:
:undoc-members:
.. autofunction:: ocrmypdf.configure_logging
+60
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@@ -0,0 +1,60 @@
% 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.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:
```
-59
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@@ -1,59 +0,0 @@
.. 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 mainly of interest to plugin developers.
ocrmypdf
========
.. autoclass:: ocrmypdf.PageContext
:members:
.. autoclass:: ocrmypdf.PdfContext
:members:
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:
+252
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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
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>:/archive \
--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 ``/archive``. 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>:/archive``", "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
View File
@@ -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.
-87
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@@ -1,87 +0,0 @@
.. _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.
+18 -18
View File
@@ -26,23 +26,27 @@
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
needs_sphinx = '8'
import datetime
# 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',
]
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 +54,18 @@ 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(datetime.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 +92,7 @@ if on_rtd:
MOCK_MODULES = [
'pikepdf',
'pikepdf.canvas',
'pikepdf.models',
'pikepdf.models.metadata',
]
@@ -108,7 +109,7 @@ 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 +159,18 @@ 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 +198,7 @@ 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
View File
@@ -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
View File
@@ -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`` and ``setup.cfg``. 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.
+369
View File
@@ -0,0 +1,369 @@
% 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 `--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.
```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.
```bash
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:
```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.
```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.
-396
View File
@@ -1,396 +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 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.
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 have SELinux
enabled on your system), you may need to add `--userns keep-id` there,
otherwise you may get access errors, because the user 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" ocrmypdf'
podman_ocrmypdf /data/input.pdf /data/output.pdf
:::
If you use SELinux 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.
{#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 a Docker image that packages recent
versions of all dependencies.
For users who already have Docker installed this may be an easy and
convenient option. However, it is less performant than a system
installation and may require Docker engine configuration.
OCRmyPDF needs a generous amount of RAM, CPU cores, temporary storage
space, whether running in a Docker container or on its own. It may be
necessary to ensure the container is provisioned with additional
resources.
.. _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
The recommended OCRmyPDF Docker image is currently named ``ocrmypdf``:
.. code-block:: bash
docker pull jbarlow83/ocrmypdf
OCRmyPDF will use all available CPU cores. By default, the VirtualBox
machine instance on Windows and macOS has only a single CPU core
enabled. Use the VirtualBox Manager to determine the name of your Docker
engine host, and then follow these optional steps to enable multiple
CPUs:
.. code-block:: bash
# Optional step for Mac OS X users
docker-machine stop "yourVM"
VBoxManage modifyvm "yourVM" --cpus 2 # or whatever number of core is desired
docker-machine start "yourVM"
eval $(docker-machine env "yourVM")
See the Docker documentation for
`adjusting memory and CPU on other platforms <https://docs.docker.com/config/containers/resource_constraints/>`__.
Using the Docker image on the command line
==========================================
**Unlike typical Docker containers**, in this section the OCRmyPDF Docker
container is ephemeral it runs for one OCR job and terminates, just like a
command line program. We are using Docker to deliver an application (as opposed
to the more conventional case, where a Docker container runs as a server).
To start a Docker container (instance of the image):
.. code-block:: bash
docker tag jbarlow83/ocrmypdf ocrmypdf
docker run --rm -i ocrmypdf (... all other arguments here...) - -
For convenience, create a shell alias to hide the Docker command. It is
easier to send the input file as stdin and read the output from
stdout **this avoids the messy permission issues with Docker entirely**.
.. code-block:: bash
alias docker_ocrmypdf='docker run --rm -i ocrmypdf'
docker_ocrmypdf --version # runs docker version
docker_ocrmypdf - - <input.pdf >output.pdf
Or in the wonderful `fish shell <https://fishshell.com/>`__:
.. code-block:: fish
alias docker_ocrmypdf 'docker run --rm ocrmypdf'
funcsave docker_ocrmypdf
Alternately, you could mount the local current working directory as a
Docker volume:
.. code-block:: bash
alias docker_ocrmypdf='docker run --rm -i --user "$(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
# Example: add a tessdata_best file
COPY chi_tra_vert.traineddata /usr/share/tesseract-ocr/<data version>/tessdata/
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/
Executing the test suite
========================
The OCRmyPDF test suite is installed with image. To run it:
.. code-block:: bash
docker run --entrypoint python3 jbarlow83/ocrmypdf -m pytest
Accessing the shell
===================
To use the bash shell in the Docker image:
.. code-block:: bash
docker run -it --entrypoint bash 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 python3 -p 5000:5000 jbarlow83/ocrmypdf webservice.py
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`
-56
View File
@@ -1,56 +0,0 @@
.. 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 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`
+730
View File
@@ -0,0 +1,730 @@
---
myst:
substitutions:
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
:::
fedora_38: |-
:::{image} https://repology.org/badge/version-for-repo/fedora_38/ocrmypdf.svg
:alt: Fedora 38
:::
fedora_39: |-
:::{image} https://repology.org/badge/version-for-repo/fedora_39/ocrmypdf.svg
:alt: Fedora 39
:::
fedora_rawhide: |-
:::{image} https://repology.org/badge/version-for-repo/fedora_rawhide/ocrmypdf.svg
:alt: Fedore Rawhide
:::
latest: |-
:::{image} https://img.shields.io/pypi/v/ocrmypdf.svg
:alt: OCRmyPDF latest released version on PyPI
:::
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
:::
---
% 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
* - Debian, Ubuntu
- ``apt install ocrmypdf``
* - Windows Subsystem for Linux
- ``apt install ocrmypdf``
* - Fedora
- ``dnf install ocrmypdf tesseract-osd``
* - macOS (Homebrew)
- ``brew install ocrmypdf``
* - macOS (MacPorts)
- ``port install ocrmypdf``
* - LinuxBrew
- ``brew 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 20.04 or newer
:::{list-table}
:header-rows: 1
* - OCRmyPDF versions in Debian & Ubuntu
* - {{ latest }}
* - {{ deb_11 }} {{ deb_12 }} {{ deb_unstable }}
* - {{ ubu_2004 }} {{ ubu_2204 }}
:::
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.
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
:::{list-table}
:header-rows: 1
* - OCRmyPDF version
* - {{latest}}
* - {{fedora_38}} {{fedora_39}} {{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 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 {ref}`Installing the JBIG2 encoder <jbig2>`.
:::
(ubuntu-lts-latest)=
### RHEL 9
Prepare the environment by getting Python 3.11:
```bash
dnf install python3.11 python3.11-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
python3.11 -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 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:
```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).
```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://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.
## 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:
```bash
brew install ocrmypdf
```
This will include only the English language pack. If you need other
languages you can optionally install them all:
```bash
brew install tesseract-lang # Optional: Install all language packs
```
### 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 includes 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 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:
```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
> ```
Update the homebrew pip:
```bash
pip install --upgrade pip
```
You can then install OCRmyPDF from PyPI for the current user:
```bash
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.3.11`
- `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`
% 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}
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
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`:
```
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`:
```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 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:
```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
```bash
pipx run ocrmypdf
```
(If not installed, pipx will install first.)
(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.
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)=
## 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:
```bash
pip install git+https://github.com/ocrmypdf/OCRmyPDF.git
```
Or, to install in editable mode
allowing customization of OCRmyPDF, use the `-e` flag:
```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:
```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:
```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:
```bash
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
python -m venv .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.
-667
View File
@@ -1,667 +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 11, or Ubuntu 20.04 LTS, or newer 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-35| image:: https://repology.org/badge/version-for-repo/fedora_35/ocrmypdf.svg
:alt: Fedora 35
.. |fedora-36| image:: https://repology.org/badge/version-for-repo/fedora_36/ocrmypdf.svg
:alt: Fedora 36
.. |fedora-rawhide| image:: https://repology.org/badge/version-for-repo/fedora_rawhide/ocrmypdf.svg
:alt: Fedore Rawhide
+-----------------------------------------------+
| **OCRmyPDF version** |
+-----------------------------------------------+
| |latest| |
+-----------------------------------------------+
| |fedora-35| |fedora-36| |fedora-rawhide| |
+-----------------------------------------------+
Users of Fedora 29 or later 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:
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/$USER/.local/bin' which is not on PATH.``, you may need to re-login
or open a new shell, or manually add this to your user's PATH.
To add JBIG2 encoding, see :ref:`jbig2`.
Ubuntu 20.04 LTS
----------------
Ubuntu 20.04 includes ocrmypdf 9.6.0 - you can install that with ``apt``. To
install a more recent version, uninstall the system-provided version of
ocrmypdf, and install the following dependencies:
.. code-block:: bash
sudo apt-get -y remove ocrmypdf # remove system ocrmypdf, if installed
sudo apt-get -y update
sudo apt-get -y install \
ghostscript \
icc-profiles-free \
libxml2 \
pngquant \
python3-pip \
tesseract-ocr \
zlib1g
To install ocrmypdf for the system:
.. code-block:: bash
pip3 install ocrmypdf
To install for the current user only:
.. code-block:: bash
export PATH=$HOME/.local/bin:$PATH
pip3 install --user ocrmypdf
To add JBIG2 encoding, see :ref:`jbig2`.
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 3.9 (64-bit) or later
* Tesseract 4.1.1 (64-bit) or later
* Ghostscript 9.50 (64-bit) or later
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 ghostscript``
* ``choco install pngquant`` (optional)
The commands above will install Python 3.x (latest version), Tesseract, Ghostscript
and pngquant. Chocolatey may also need to install the Windows Visual C++ Runtime
DLLs or other Windows patches, and may require a reboot.
You may then use ``pip`` to install ocrmypdf. (This can performed by a user or
Administrator.):
* ``pip install ocrmypdf``
Chocolatey automatically selects appropriate versions of these applications. Please make sure
you are installing the 64-bit versions.
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 Chocolatey instead, and do not use the
Microsoft Store version.
.. warning::
32-bit Windows might work, but 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``::
python38 (or later)
python3?-devel
python3?-pip
python3?-lxml
python3?-imaging
(where 3? means match the version of python3 you installed)
gcc-g++
ghostscript (<=9.50 or >=9.52-2 see note below)
libexempi3
libexempi-devel
libffi6
libffi-devel
pngquant
qpdf
libqpdf-devel
tesseract-ocr
tesseract-ocr-devel
.. note::
The Cygwin package for Ghostscript in versions 9.52 and
9.52-1 contained a bug that caused an exception to occur when
ocrmypdf invoked gs. Make sure you have either 9.50 (or earlier)
or 9.52-2 (or later).
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
You should then be able to run ``ocrmypdf --version`` and see that the
latest version was located.
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 3.9 or newer
- Ghostscript 9.50 or newer
- Tesseract 4.1.1 or newer
- jbig2enc 0.29 or newer
- pngquant 2.5 or newer
- unpaper 6.1
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 3.9 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``.
+213
View File
@@ -0,0 +1,213 @@
% SPDX-FileCopyrightText: 2022 James R. Barlow
% SPDX-License-Identifier: CC-BY-SA-4.0
# 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
contained in images. OCRmyPDF also supports plugins
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
[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
available open source OCR engine, to perform OCR.
(raster-vector)=
## 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)
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} 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
monochromatic text and color regions, for example, to enhance the compression
ratio and appearance of the page.
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
[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,
such as embedded Javascript, video, audio and references to external
fonts. All fonts and resources needed to interpret the PDF must be
contained within it. Because PDF/A disables Javascript and other types
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
documents.
Since most individuals scanning documents aim for long-term readability,
OCRmyPDF defaults to generating PDF/A-2b.
PDF/A does have a few drawbacks. Some PDF viewers display an alert
indicating that the file is in PDF/A format, which may confuse some users.
Additionally, it tends to result in larger files than standard PDFs because
it embeds certain resources, even if they are widely available. PDF/A
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
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.
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
actually generates a new PDF, potentially resulting in the loss of various
details (such as the document's metadata). In contrast, OCRmyPDF can produce
a minimally altered PDF as the output.
OCRmyPDF also offers several image processing options, such as deskew, which
enhances the visual quality of files and the accuracy of OCR. When these
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.
## 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,
they often contain additional content that would be forfeited if not preserved.
A manual process could take one of these approaches:
1. Rasterize each page as an image, perform OCR on the images, and then merge the
output into a PDF. This method preserves the layout of each page, but
resamples all images potentially leading to quality loss, increased file size,
and the introduction of compression artifacts, among other issues.
2. Extract each image, OCR, and combine the output into a PDF. This approach
loses the context in which images are used in the PDF, potentially resulting
in loss of information related to scaling and position of images. Some scanned
PDFs contain multiple images segmented into black and white, grayscale
and color regions, with stencil masks to prevent overlap, as this can
enhance the appearance of a file while reducing file size.
Reassembling these images can be challenging, and risks losing vector art
or text that is not part of an image.
In cases where a PDF solely serves as a container for images without any
rotation, scaling, or cropping, the second approach can be lossless.
OCRmyPDF uses various strategies depending on input options and the input PDF
itself. Generally, it rasterizes a page for OCR and then integrates the OCR
data back into the original PDF. This approach allows it to handle complex
PDFs and preserve their content as much as possible.
Furthermore, OCRmyPDF supports a wide range of edge cases that have emerged
during several years of development. It accommodates PDF features like
images within Form XObjects and pages with UserUnit scaling. It also
supports less common image formats like non-monochrome 1-bit images and
provides warnings about files you may not want to OCR. Thanks to tools
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
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.
Ghostscript also imposes some limitations:
- 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.
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
## 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
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
The Docker image of OCRmyPDF provides a web service front-end
that allows files to submitted over HTTP, and the results can be downloaded.
This is an HTTP server intended to demonstrate how OCRmyPDF can be
integrated into a web service. It is not intended to be deployed on the
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.
OCRmyPDF is not designed to be secure against malware-bearing PDFs (see
[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.
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.. SPDX-FileCopyrightText: 2022 James R. Barlow
..
.. SPDX-License-Identifier: CC-BY-SA-4.0
============
Introduction
============
OCRmyPDF is an application and library that adds text "layers" to images
in PDFs, making scanned image PDFs searchable. It uses OCR to guess what text
is contained in images. It is written in Python. OCRmyPDF supports plugins
that allow customization of its processing steps, and is very tolerant of
PDFs that contain scanned images and "born digital" content that needs no
text recognition.
About OCR
=========
`Optical character
recognition <https://en.wikipedia.org/wiki/Optical_character_recognition>`__
is technology that converts images of typed or handwritten text, such as
in a scanned document, to computer text that can be selected, searched and copied.
OCRmyPDF uses
`Tesseract <https://github.com/tesseract-ocr/tesseract>`__, the best
available open source OCR engine, to perform OCR.
.. _raster-vector:
About PDFs
==========
PDFs are page description files that attempts to preserve a layout
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, it is a good format for exchanging scanned documents.
|image|
A PDF page might contain multiple images, even if it only appears to
have one image. Some scanners or scanning software will segment pages
into monochromatic text and color regions for example, to improve the
compression ratio and appearance of the page.
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
===========
`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 would make it difficult to read the file in the future,
such as embedded Javascript, video, audio and references to external
fonts. All fonts and resources needed to interpret the PDF must be
contained within it. Because PDF/A disables Javascript and other types
of embedded content, it is probably more secure.
There are various conformance levels and versions, such as "PDF/A-2b".
Generally speaking, the best 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
documents.
Since most people who scan documents are interested in reading them
indefinitely into the future, OCRmyPDF generates PDF/A-2b by default.
PDF/A has a few drawbacks. Some PDF viewers include an alert that the
file is a PDF/A, which may confuse some users. It also tends to produce
larger files than PDF, because it embeds certain resources even if they
are commonly available. PDF/A files can be digitally signed, but may not
be encrypted, to ensure they can be read in the future. Fortunately,
converting from PDF/A to a regular PDF is trivial, and any PDF viewer
can view PDF/A.
What OCRmyPDF does
==================
OCRmyPDF analyzes each page of a PDF to determine the colorspace and
resolution (DPI) needed to capture all of the information on that page
without losing content. It uses
`Ghostscript <http://ghostscript.com/>`__ to rasterize the page, and
then performs OCR on the rasterized image to create an OCR "layer".
The layer is then grafted back onto the original PDF.
While one can use a program like Ghostscript or ImageMagick to get an
image and put the image through Tesseract, that actually creates a new
PDF and many details may be lost. OCRmyPDF can produce a minimally
changed PDF as output.
OCRmyPDF also provides some image processing options, like deskew, which
improves the appearance of files and quality of OCR. When these are used,
the OCR layer is grafted onto the processed image instead.
By default, OCRmyPDF produces archival PDFs PDF/A, which are a
stricter subset of PDF features designed for long term archives. If
regular PDFs are desired, this can be disabled with
``--output-type pdf``.
Why you shouldn't do this manually
==================================
A PDF is similar to an HTML file, in that it contains document structure
along with images. Sometimes a PDF does nothing more than present a full
page image, but often there is additional content that would be lost.
A manual process could work like either of these:
1. Rasterize each page as an image, OCR the images, and combine the
output into a PDF. This preserves the layout of each page, but
resamples all images (possibly losing quality, increasing file size,
introducing compression artifacts, etc.).
2. Extract each image, OCR, and combine the output into a PDF. This
loses the context in which images are used in the PDF, meaning that
cropping, rotation and scaling of pages may be lost. Some scanned
PDFs use multiple images segmented into black and white, grayscale
and color regions, with stencil masks to prevent overlap, as this can
enhance the appearance of a file while reducing file size. Clearly,
reassembling these images will be easy. This also loses and text or
vector art on any pages in a PDF with both scanned and pure digital
content.
In the case of a PDF that is nothing other than a container of images
(no rotation, scaling, cropping, one image per page), the second
approach can be lossless.
OCRmyPDF uses several strategies depending on input options and the
input PDF itself, but generally speaking it rasterizes a page for OCR
and then grafts the OCR back onto the original. As such it can handle
complex PDFs and still preserve their contents as much as possible.
OCRmyPDF also supports a many, many edge cases that have cropped over
several years of development. We support PDF features like images inside
of Form XObjects, and pages with UserUnit scaling. We support rare image
formats like non-monochrome 1-bit images. We warn about files you may
not to OCR. Thanks to pikepdf and QPDF, we auto-repair PDFs that are
damaged. (Not that you need to know what any of these are! You should be
able to throw any PDF at it.)
Limitations
===========
OCRmyPDF is limited by the Tesseract OCR engine. As such it experiences
these limitations, as do any other programs that rely on Tesseract:
- The OCR is not as accurate as commercial OCR solutions.
- It is not capable of recognizing handwriting.
- It may find gibberish and report this as OCR output.
- If a document contains languages outside of those given in the
``-l LANG`` arguments, results may be poor.
- It is not always good at analyzing the natural reading order of
documents. For example, it may fail to recognize that a document
contains two columns, and may try to join text across columns.
- Poor quality scans may produce poor quality OCR. Garbage in, garbage
out.
- It does not expose information about what font family text belongs
to.
OCRmyPDF is also limited by the PDF specification:
- PDF encodes the position of text glyphs but does not encode document
structure. There is no markup that divides a document in sections,
paragraphs, sentences, or even words (since blank spaces are not
represented). As such all elements of document structure including
the spaces between words must be derived heuristically. Some PDF
viewers do a better job of this than others.
- Because some popular open source PDF viewers have a particularly hard
time with spaces between words, OCRmyPDF appends a space to each text
element as a workaround (when using ``--pdf-renderer hocr``). While
this mixes document structure with graphical information that ideally
should be left to the PDF viewer to interpret, it improves
compatibility with some viewers and does not cause problems for
better ones.
Ghostscript also imposes some limitations:
- PDFs containing JBIG2-encoded content will be converted to CCITT
Group4 encoding, which has lower compression ratios, if Ghostscript
PDF/A is enabled.
- PDFs containing JPEG 2000-encoded content will be converted to JPEG
encoding, which may introduce compression artifacts, if Ghostscript
PDF/A is enabled.
- Ghostscript may transcode grayscale and color images, either lossy to
lossless or lossless to lossy, 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 has no 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 seems to remove or deactivate
hyperlinks and other active content.
You can use ``--output-type pdf`` to disable PDF/A conversion and produce
a standard, non-archival PDF.
Regarding OCRmyPDF itself:
- PDFs that use transparency are not currently represented in the test
suite
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
meet your needs, contributions and suggestions are welcome. If not,
consider one of these similar open source programs:
- pdf2pdfocr
- pdfsandwich
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
==============
The Docker image ``ocrmypdf`` provides a web service front-end
that allows files to submitted over HTTP and the results "downloaded".
This is an HTTP server intended to simplify web services deployments; it
is not intended to be deployed on the public internet and no real
security measures to speak of.
In addition, the following third-party integrations are available:
- `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
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
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% 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-lossy}
## 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.*
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.. 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
encodings will be used.
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.
On macOS, Homebrew packages jbig2enc and OCRmyPDF includes it by
default. The Docker image for OCRmyPDF also builds its own JBIG2 encoder
from source.
For all other Linux, you must build a 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.
Lossy mode JBIG2
================
OCRmyPDF provides lossy mode JBIG2 as an advanced 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.
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. As explained above, there is some risk of substitution errors.
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.
*Due to an oversight, ocrmypdf v7.0 and v7.1 used lossy mode by
default.*
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% 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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.. 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``.
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:
Debian and Ubuntu users
=======================
.. 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 users
============
.. 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 users
============
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 users
===========
You can install additional language packs by
:ref:`installing Tesseract using Homebrew with all language packs <macos-all-languages>`.
Docker users
============
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 users
=============
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).
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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 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.
### 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.
+111
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@@ -0,0 +1,111 @@
% 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.
(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``
- ``-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.
OCRmyPDF provides `lossy mode JBIG2 <jbig2-lossy>`{.interpreted-text
role="ref"} as an advanced feature that additional requires the argument
`--jbig2-lossy`.
-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 converting
monochrome images to CCITT G4. Since this is harmless 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 0`` 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
+113 -93
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@@ -1,15 +1,12 @@
.. 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
=======
Plugins
=======
# 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.
> 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.
@@ -24,78 +21,71 @@ Currently, it is possible to:
- 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
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
==============
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.
.. code-block:: bash
```bash
ocrmypdf --plugin ocrmypdf_example_plugin.py input.pdf output.pdf
```
ocrmypdf --plugin ocrmypdf_example_plugin.py input.pdf output.pdf
Multiple plugins may be installed by issuing the `--plugin` argument multiple times.
Multiple plugins may be installed by issuing the ``--plugin`` argument multiple times.
Packaged plugins
================
## 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
```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
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).
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::
:::{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.
:::
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
==================
## 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.
installed in the same virtual environment, using a project entrypoint.
OCRmyPDF uses the entrypoint namespace "ocrmypdf".
Your package's ``pyproject.toml`` would need to contain the following, for a plugin
named ``ocrmypdf-exampleplugin``:
For example, `pyproject.toml` would need to contain the following, for a plugin named
`ocrmypdf-exampleplugin`:
.. code-block:: toml
```toml
[project]
name = "ocrmypdf-exampleplugin"
[project]
name = "ocrmypdf-exampleplugin"
[project.entry-points."ocrmypdf"]
exampleplugin = "exampleplugin.pluginmodule"
```
[project.entry-points."ocrmypdf"]
exampleplugin = "exampleplugin.pluginmodule"
.. code-block:: ini
# equivalent setup.cfg
[options.entry_points]
ocrmypdf =
exampleplugin = exampleplugin.pluginmodule
Plugin requirements
===================
## 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.
@@ -106,14 +96,14 @@ 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
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
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``.
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.
@@ -122,109 +112,139 @@ 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
============
## Plugin hooks
A plugin may provide the following hooks. Hooks must be decorated with
``ocrmypdf.hookimpl``, for example:
`ocrmypdf.hookimpl`, for example:
.. code-block:: python
```python
from ocrmypdf import hookimpl
from ocrmpydf import hookimpl
@hookimpl
def add_options(parser):
pass
@hookimpl
def add_options(parser):
pass
```
The following is a complete list of hooks that are available, and when
they are called.
.. _firstresult:
(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
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
========
## Examples
* OCRmyPDF's test suite contains several plugins that are used to simulate certain
- OCRmyPDF's test suite contains several plugins that are used to simulate certain
test conditions.
* `ocrmypdf-papermerge <https://github.com/papermerge/OCRmyPDF_papermerge>`_ is
- [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
Suppressing or overriding other plugins
---------------------------------------
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.initialize
```
Custom command line arguments
-----------------------------
### Custom command line arguments
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.add_options
```
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.check_options
```
Execution and progress reporting
--------------------------------
### 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
-------------------------------------------
### Applying special behavior before processing
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.validate
```
PDF page to image
-----------------
### PDF page to image
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.rasterize_pdf_page
```
Modifying intermediate images
-----------------------------
### 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
----------
### 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
----------------
### PDF/A production
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.generate_pdfa
```
PDF optimization
----------------
### PDF optimization
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.optimize_pdf
```
.. autofunction:: ocrmypdf.pluginspec.is_optimization_enabled
```{eval-rst}
.. autofunction:: ocrmypdf.pluginspec.is_optimization_enabled
```
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@@ -0,0 +1,239 @@
# 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_lossy = st.checkbox("JBIG2 lossy (dangerous)", value=False, key="jbig2_lossy")
jbig2_threshold = st.number_input("JBIG2 threshold", value=0, 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_lossy:
args.append("--jbig2-lossy")
if jbig2_threshold:
args.append(f"--jbig2-threshold={jbig2_threshold}")
if jobs:
args.append(f"--jobs={jobs}")
input_file = NamedTemporaryFile(delete=True, suffix=f"_{uploaded.name}")
input_file.write(uploaded.getvalue())
input_file.flush()
input_file.seek(0)
args.append(str(input_file.name))
output_file = NamedTemporaryFile(delete=True, suffix=".pdf")
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
+48 -10
View File
@@ -1,5 +1,6 @@
#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2016 findingorder <https://github.com/findingorder>
# SPDX-FileCopyrightText: 2024 nilsro <https://github.com/nilsro>
# SPDX-License-Identifier: MIT
"""Example of using ocrmypdf as a library in a script.
@@ -13,7 +14,11 @@ You should edit this script to meet your needs.
from __future__ import annotations
import filecmp
import logging
import os
import posixpath
import shutil
import sys
from pathlib import Path
@@ -22,32 +27,65 @@ import ocrmypdf
# pylint: disable=logging-format-interpolation
# pylint: disable=logging-not-lazy
def filecompare(a, b):
try:
return filecmp.cmp(a, b, shallow=True)
except FileNotFoundError:
return False
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(".")
if len(sys.argv) > 2:
log_file = Path(sys.argv[2])
else:
log_file = script_dir.with_name('ocr-tree.log')
log_file = script_dir.with_name("ocr-tree.log")
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s %(message)s',
format="%(asctime)s %(message)s",
filename=log_file,
filemode='a',
filemode="a",
)
logging.info(f"Start directory {start_dir}")
ocrmypdf.configure_logging(ocrmypdf.Verbosity.default)
for filename in start_dir.glob("**/*.py"):
for filename in start_dir.glob("**/*.pdf"):
logging.info(f"Processing {filename}")
result = ocrmypdf.ocr(filename, filename, deskew=True)
if result == ocrmypdf.ExitCode.already_done_ocr:
logging.error("Skipped document because it already contained text")
elif result == ocrmypdf.ExitCode.ok:
if ocrmypdf.pdfa.file_claims_pdfa(filename)["pass"]:
logging.info("Skipped document because it already contained text")
else:
archive_filename = archive_dir + str(filename)
if len(archive_dir) > 0 and not filecompare(filename, archive_filename):
logging.info(f"Archiving document to {archive_filename}")
try:
shutil.copy2(filename, posixpath.dirname(archive_filename))
except OSError:
os.makedirs(posixpath.dirname(archive_filename))
shutil.copy2(filename, posixpath.dirname(archive_filename))
try:
result = ocrmypdf.ocr(filename, filename, deskew=True)
logging.info(result)
except ocrmypdf.exceptions.EncryptedPdfError:
logging.info("Skipped document because it is encrypted")
except ocrmypdf.exceptions.PriorOcrFoundError:
logging.info("Skipped document because it already contained text")
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 Exception:
logging.error("Unhandled error occured")
logging.info("OCR complete")
logging.info(result)
+42
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@@ -0,0 +1,42 @@
#!/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."""
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")
@@ -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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@@ -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)):
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
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@@ -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)):
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()
+46
View File
@@ -0,0 +1,46 @@
# SPDX-FileCopyrightText: 2025 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Compare text in PDFs."""
from __future__ import annotations
from subprocess import run
from tempfile import NamedTemporaryFile
from typing import Annotated
import typer
def main(
pdf1: Annotated[typer.FileBinaryRead, typer.Argument()],
pdf2: Annotated[typer.FileBinaryRead, typer.Argument()],
engine: Annotated[str, typer.Option()] = 'pdftotext',
):
"""Compare text in PDFs."""
text1 = run(
['pdftotext', '-layout', '-', '-'], stdin=pdf1, capture_output=True, check=True
)
text2 = run(
['pdftotext', '-layout', '-', '-'], stdin=pdf2, capture_output=True, check=True
)
with NamedTemporaryFile() as f1, NamedTemporaryFile() as f2:
f1.write(text1.stdout)
f1.flush()
f2.write(text2.stdout)
f2.flush()
diff = run(
['diff', '--color=always', '--side-by-side', f1.name, f2.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__':
typer.run(main)
+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,
+238 -76
View File
@@ -9,103 +9,122 @@ from __future__ import annotations
import json
import logging
import os
import shutil
import sys
import time
from datetime import datetime
from enum import Enum
from pathlib import Path
from typing import Annotated, Any
import pikepdf
import typer
from dotenv import load_dotenv
from watchdog.events import PatternMatchingEventHandler
from watchdog.observers import Observer
from watchdog.observers.polling import PollingObserver
import ocrmypdf
load_dotenv()
# pylint: disable=logging-format-interpolation
def getenv_bool(name: str, default: str = 'False'):
return os.getenv(name, default).lower() in ('true', 'yes', 'y', '1')
INPUT_DIRECTORY = os.getenv('OCR_INPUT_DIRECTORY', '/input')
OUTPUT_DIRECTORY = os.getenv('OCR_OUTPUT_DIRECTORY', '/output')
ARCHIVE_DIRECTORY = os.getenv('OCR_ARCHIVE_DIRECTORY', '/processed')
OUTPUT_DIRECTORY_YEAR_MONTH = getenv_bool('OCR_OUTPUT_DIRECTORY_YEAR_MONTH')
ON_SUCCESS_DELETE = getenv_bool('OCR_ON_SUCCESS_DELETE')
ON_SUCCESS_ARCHIVE = getenv_bool('OCR_ON_SUCCESS_ARCHIVE')
DESKEW = getenv_bool('OCR_DESKEW')
OCR_JSON_SETTINGS = json.loads(os.getenv('OCR_JSON_SETTINGS', '{}'))
POLL_NEW_FILE_SECONDS = int(os.getenv('OCR_POLL_NEW_FILE_SECONDS', '1'))
USE_POLLING = getenv_bool('OCR_USE_POLLING')
RETRIES_LOADING_FILE = int(os.getenv('OCR_RETRIES_LOADING_FILE', '5'))
LOGLEVEL = os.getenv('OCR_LOGLEVEL', 'INFO')
PATTERNS = ['*.pdf', '*.PDF']
app = typer.Typer(name="ocrmypdf-watcher")
log = logging.getLogger('ocrmypdf-watcher')
def get_output_dir(root, basename):
if OUTPUT_DIRECTORY_YEAR_MONTH:
class LoggingLevelEnum(str, Enum):
"""Enum for logging levels."""
DEBUG = "DEBUG"
INFO = "INFO"
WARNING = "WARNING"
ERROR = "ERROR"
CRITICAL = "CRITICAL"
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()
output_directory_year_month = (
Path(root) / str(today.year) / f'{today.month:02d}'
)
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 = Path(OUTPUT_DIRECTORY) / basename
output_path = root / Path(basename).with_suffix('.pdf')
return output_path
def wait_for_file_ready(file_path):
def wait_for_file_ready(
file_path: Path, poll_new_file_seconds: int, retries_loading_file: int
):
# This loop waits to make sure that the file is completely loaded on
# disk before attempting to read. Docker sometimes will publish the
# watchdog event before the file is actually fully on disk, causing
# pikepdf to fail.
retries = RETRIES_LOADING_FILE
while retries:
tries = retries_loading_file + 1
while tries:
try:
pdf = pikepdf.open(file_path)
except (FileNotFoundError, pikepdf.PdfError) as e:
with pikepdf.Pdf.open(file_path) as pdf:
log.debug(f"{file_path} ready with {pdf.pages} pages")
return True
except (FileNotFoundError, OSError) as e:
log.info(f"File {file_path} is not ready yet")
log.debug("Exception was", exc_info=e)
time.sleep(POLL_NEW_FILE_SECONDS)
retries -= 1
else:
pdf.close()
return True
time.sleep(poll_new_file_seconds)
tries -= 1
except pikepdf.PdfError as e:
log.info(f"File {file_path} is not full written yet")
log.debug("Exception was", exc_info=e)
time.sleep(poll_new_file_seconds)
tries -= 1
return False
def execute_ocrmypdf(file_path):
file_path = Path(file_path)
output_path = get_output_dir(OUTPUT_DIRECTORY, file_path.name)
def execute_ocrmypdf(
*,
file_path: Path,
archive_dir: Path,
output_dir: Path,
ocrmypdf_kwargs: dict[str, Any],
on_success_delete: bool,
on_success_archive: bool,
poll_new_file_seconds: int,
retries_loading_file: int,
output_dir_year_month: bool,
):
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 loaded...')
if not wait_for_file_ready(file_path):
log.info(f'New file: {file_path}. Waiting until fully written...')
if not wait_for_file_ready(file_path, poll_new_file_seconds, retries_loading_file):
log.info(f"Gave up waiting for {file_path} to become ready")
return
log.info(f'Attempting to OCRmyPDF to: {output_path}')
log.debug(
f'OCRmyPDF input_file={file_path} output_file={output_path} '
f'kwargs: {ocrmypdf_kwargs}'
)
exit_code = ocrmypdf.ocr(
input_file=file_path,
output_file=output_path,
deskew=DESKEW,
**OCR_JSON_SETTINGS,
**ocrmypdf_kwargs,
)
if exit_code == 0:
if ON_SUCCESS_DELETE:
if on_success_delete:
log.info(f'OCR is done. Deleting: {file_path}')
file_path.unlink()
elif ON_SUCCESS_ARCHIVE:
log.info(f'OCR is done. Archiving {file_path.name} to {ARCHIVE_DIRECTORY}')
shutil.move(file_path, f'{ARCHIVE_DIRECTORY}/{file_path.name}')
elif on_success_archive:
log.info(f'OCR is done. Archiving {file_path.name} to {archive_dir}')
shutil.move(file_path, f'{archive_dir}/{file_path.name}')
else:
log.info('OCR is done')
else:
@@ -113,61 +132,204 @@ def execute_ocrmypdf(file_path):
class HandleObserverEvent(PatternMatchingEventHandler):
def __init__( # noqa: D107
self,
patterns=None,
ignore_patterns=None,
ignore_directories=False,
case_sensitive=False,
settings={},
):
super().__init__(
patterns=patterns,
ignore_patterns=ignore_patterns,
ignore_directories=ignore_directories,
case_sensitive=case_sensitive,
)
self._settings = settings
def on_any_event(self, event):
if event.event_type in ['created']:
execute_ocrmypdf(event.src_path)
execute_ocrmypdf(file_path=Path(event.src_path), **self._settings)
def main():
@app.command()
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,
),
] = '/input',
output_dir: Annotated[
Path,
typer.Argument(
envvar='OCR_OUTPUT_DIRECTORY',
exists=True,
file_okay=False,
dir_okay=True,
writable=True,
resolve_path=True,
),
] = '/output',
archive_dir: Annotated[
Path,
typer.Argument(
envvar='OCR_ARCHIVE_DIRECTORY',
exists=True,
file_okay=False,
dir_okay=True,
writable=True,
resolve_path=True,
),
] = '/processed',
output_dir_year_month: Annotated[
bool,
typer.Option(
envvar='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',
help='Delete the input file after successful OCR',
),
] = False,
on_success_archive: Annotated[
bool,
typer.Option(
envvar='OCR_ON_SUCCESS_ARCHIVE',
help='Archive the input file after successful OCR',
),
] = False,
deskew: Annotated[
bool,
typer.Option(
envvar='OCR_DESKEW',
help='Deskew the input file before OCR',
),
] = False,
ocr_json_settings: Annotated[
str,
typer.Option(
envvar='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',
help='Seconds to wait before polling a new file',
min=0,
),
] = 1,
use_polling: Annotated[
bool,
typer.Option(
envvar='OCR_USE_POLLING',
help='Use polling instead of filesystem events',
),
] = False,
retries_loading_file: Annotated[
int,
typer.Option(
envvar='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',
help='Logging level',
),
] = LoggingLevelEnum.INFO,
patterns: Annotated[
str,
typer.Option(
envvar='OCR_PATTERNS',
help='File patterns to watch',
),
] = '*.pdf,*.PDF',
):
ocrmypdf.configure_logging(
verbosity=(
ocrmypdf.Verbosity.default
if LOGLEVEL != 'DEBUG'
if loglevel != LoggingLevelEnum.DEBUG
else ocrmypdf.Verbosity.debug
),
manage_root_logger=True,
)
log.setLevel(LOGLEVEL)
log.setLevel(loglevel.value)
log.info(
f"Starting OCRmyPDF watcher with config:\n"
f"Input Directory: {INPUT_DIRECTORY}\n"
f"Output Directory: {OUTPUT_DIRECTORY}\n"
f"Output Directory Year & Month: {OUTPUT_DIRECTORY_YEAR_MONTH}\n"
f"Archive Directory: {ARCHIVE_DIRECTORY}"
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}"
)
log.debug(
f"INPUT_DIRECTORY: {INPUT_DIRECTORY}\n"
f"OUTPUT_DIRECTORY: {OUTPUT_DIRECTORY}\n"
f"OUTPUT_DIRECTORY_YEAR_MONTH: {OUTPUT_DIRECTORY_YEAR_MONTH}\n"
f"ARCHIVE_DIRECTORY: {ARCHIVE_DIRECTORY}\n"
f"ON_SUCCESS_DELETE: {ON_SUCCESS_DELETE}\n"
f"ON_SUCCESS_ARCHIVE: {ON_SUCCESS_ARCHIVE}\n"
f"DESKEW: {DESKEW}\n"
f"ARGS: {OCR_JSON_SETTINGS}\n"
f"POLL_NEW_FILE_SECONDS: {POLL_NEW_FILE_SECONDS}\n"
f"RETRIES_LOADING_FILE: {RETRIES_LOADING_FILE}\n"
f"USE_POLLING: {USE_POLLING}\n"
f"LOGLEVEL: {LOGLEVEL}"
log.info(
f"INPUT_DIRECTORY: {input_dir}\n"
f"OUTPUT_DIRECTORY: {output_dir}\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"
f"ARGS: {ocr_json_settings}\n"
f"POLL_NEW_FILE_SECONDS: {poll_new_file_seconds}\n"
f"RETRIES_LOADING_FILE: {retries_loading_file}\n"
f"USE_POLLING: {use_polling}\n"
f"LOGLEVEL: {loglevel.value}"
)
if 'input_file' in OCR_JSON_SETTINGS or 'output_file' in OCR_JSON_SETTINGS:
log.error('OCR_JSON_SETTINGS should not specify input file or output file')
if ocr_json_settings and Path(ocr_json_settings).exists():
json_settings = json.loads(Path(ocr_json_settings).read_text())
else:
json_settings = json.loads(ocr_json_settings or '{}')
if 'input_file' in json_settings or 'output_file' in json_settings:
log.error(
'OCR_JSON_SETTINGS (--ocr-json-settings) may not specify input/output file'
)
sys.exit(1)
handler = HandleObserverEvent(patterns=PATTERNS)
if USE_POLLING:
handler = HandleObserverEvent(
patterns=patterns.split(','),
settings={
'archive_dir': archive_dir,
'output_dir': output_dir,
'ocrmypdf_kwargs': json_settings | {'deskew': deskew},
'on_success_delete': on_success_delete,
'on_success_archive': on_success_archive,
'poll_new_file_seconds': poll_new_file_seconds,
'retries_loading_file': retries_loading_file,
'output_dir_year_month': output_dir_year_month,
},
)
if use_polling:
observer = PollingObserver()
else:
observer = Observer()
observer.schedule(handler, INPUT_DIRECTORY, recursive=True)
observer.schedule(handler, input_dir, recursive=True)
observer.start()
typer.echo(f"Watching {input_dir} for new PDFs. Press Ctrl+C to exit.")
try:
while True:
time.sleep(1)
time.sleep(30)
except KeyboardInterrupt:
observer.stop()
observer.join()
if __name__ == "__main__":
main()
app()
Regular → Executable
+23 -101
View File
@@ -1,107 +1,29 @@
#!/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.
"""
from __future__ import annotations
"""Run the OCRmyPDF web service."""
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'
)
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:],
],
)
+46 -57
View File
@@ -1,27 +1,26 @@
# 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 = ">=3.9"
license = "MPL-2.0"
requires-python = ">=3.10"
dependencies = [
"Pillow>=9.0.1",
"deprecation>=2.1.0",
"img2pdf>=0.4.4",
"img2pdf>=0.5",
"packaging>=20",
"pdfminer.six>=20220319",
"pikepdf>=8",
"pluggy>=0.13.0",
"reportlab>=3.6.8",
"pi-heif", # Heif image format - maintainers: if this is removed, it will NOT break
"pikepdf>=8.10.1,!=9.8.0",
"Pillow>=10.0.1",
"pluggy>=1",
"rich>=13",
"typing-extensions>=4;python_version<'3.10'",
]
authors = [{ name = "James R. Barlow", email = "james@purplerock.ca" }]
classifiers = [
@@ -30,7 +29,6 @@ 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",
@@ -47,10 +45,11 @@ 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.rst"
[project.optional-dependencies]
docs = ["sphinx", "sphinx-issues", "sphinx-rtd-theme"]
extended_test = ["PyMuPDF==1.19.1"]
docs = ["myst-parser>=4.0.1", "sphinx", "sphinx-issues", "sphinx-rtd-theme"]
extended_test = ["PyMuPDF>=1.19.1"]
test = [
"coverage[toml]>=6.2",
"hypothesis>=6.36.0",
@@ -58,54 +57,30 @@ test = [
"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"]
webservice = ["Flask>=2.0.1"]
watcher = ["watchdog>=1.0.2", "typer-slim[standard]", "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 = "py38"
[tool.black]
line-length = 88
target-version = ["py38", "py39", "py310", "py311"]
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 = "py310"
[tool.coverage.run]
branch = true
parallel = true
concurrency = ["multiprocessing"]
concurrency = ["multiprocessing", "thread"]
sigterm = true
[tool.coverage.paths]
source = ["src/ocrmypdf"]
@@ -127,19 +102,20 @@ exclude_lines = [
[tool.pytest.ini_options]
minversion = "6.0"
norecursedirs = ["lib", ".pc", ".git", "venv", "output", "cache", "resources"]
testpaths = ["tests"]
addopts = "-n auto"
markers = ["slow"]
filterwarnings = ["ignore:.*XMLParser.*:DeprecationWarning"]
filterwarnings = [
"ignore:.*XMLParser.*:DeprecationWarning",
"ignore:.*ast.NameConstant.*:DeprecationWarning:reportlab",
"ignore:.*distutils.*:DeprecationWarning:libxmp",
]
[tool.mypy]
[[tool.mypy.overrides]]
module = [
'pluggy',
'tqdm',
'coloredlogs',
'img2pdf',
'pdfminer.*',
'reportlab.*',
@@ -149,7 +125,10 @@ module = [
ignore_missing_imports = true
[tool.ruff]
select = [
target-version = "py310"
[tool.ruff.lint]
"select" = [
"D", # pydocstyle
"E", # pycodestyle
"W", # pycodestyle
@@ -157,17 +136,27 @@ select = [
"I001", # isort
"UP", # pyupgrade
]
target-version = "py38"
[tool.ruff.isort]
[tool.ruff.lint.isort]
known-first-party = ["ocrmypdf"]
required-imports = ["from __future__ import annotations"]
[tool.ruff.pydocstyle]
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.per-file-ignores]
[tool.ruff.lint.per-file-ignores]
"docs/conf.py" = ["D100", "D101", "D105"]
"tests/*.py" = ["D100", "D101", "D102", "D103", "D105"]
"misc/*.py" = ["D103", "D101", "D102"]
"src/ocrmypdf/builtin_plugins/*.py" = ["D103", "D102", "D105"]
[tool.ruff.format]
quote-style = "preserve"
[dependency-groups]
dev = [
"mypy>=1.13.0",
"pymupdf>=1.24.14",
"streamlit-pdf-viewer>=0.0.19",
"streamlit>=1.40.2",
"ipykernel>=6.29.5",
]
+2 -2
View File
@@ -18,8 +18,8 @@ architectures: [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
GS_LIB: $SNAP/usr/share/ghostscript/9.55.0/Resource/Init
GS_FONTPATH: $SNAP/usr/share/ghostscript/9.55.0/Resource/Font
LD_LIBRARY_PATH: $SNAP/usr/lib/x86_64-linux-gnu
apps:
+11 -2
View File
@@ -9,9 +9,17 @@ 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._version import PROGRAM_NAME, __version__
from ocrmypdf.api import Verbosity, configure_logging, ocr
from ocrmypdf._pipelines._common import (
configure_debug_logging,
)
from ocrmypdf._version import __version__
from ocrmypdf.api import (
Verbosity,
configure_logging,
ocr,
)
from ocrmypdf.exceptions import (
BadArgsError,
DpiError,
@@ -33,6 +41,7 @@ hookimpl = _HookimplMarker('ocrmypdf')
__all__ = [
'__version__',
'BadArgsError',
'configure_debug_logging',
'configure_logging',
'DpiError',
'EncryptedPdfError',
+7 -2
View File
@@ -7,14 +7,15 @@
from __future__ import annotations
import logging
import multiprocessing
import os
import signal
import sys
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._sync import run_pipeline
from ocrmypdf._validation import check_options
from ocrmypdf.api import Verbosity, configure_logging
from ocrmypdf.exceptions import (
@@ -71,9 +72,13 @@ def run(args=None):
with suppress(AttributeError, OSError):
signal.signal(signal.SIGBUS, sigbus)
result = run_pipeline(options=options, plugin_manager=plugin_manager)
result = run_pipeline_cli(options=options, plugin_manager=plugin_manager)
return result
if __name__ == '__main__':
multiprocessing.freeze_support()
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
+18 -25
View File
@@ -7,27 +7,20 @@ from __future__ import annotations
import threading
from abc import ABC, abstractmethod
from typing import Callable, Iterable
from collections.abc import Callable, Iterable
from typing import Any, TypeVar
from ocrmypdf._progressbar import NullProgressBar, ProgressBar
T = TypeVar('T')
def _task_noop(*_args, **_kwargs):
return
class NullProgressBar:
"""Progress bar API that takes no actions."""
def __init__(self, **kwargs):
pass
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
return False
def update(self, _arg=None):
return
def _task_finished_noop(_result: Any, pbar: ProgressBar):
pbar.update()
class Executor(ABC):
@@ -45,11 +38,11 @@ class Executor(ABC):
*,
use_threads: bool,
max_workers: int,
tqdm_kwargs: dict,
progress_kwargs: dict,
worker_initializer: Callable | None = None,
task: Callable | None = None,
task: Callable[..., T] | None = None,
task_arguments: Iterable | None = None,
task_finished: Callable | None = None,
task_finished: Callable[[T, ProgressBar], None] | None = None,
) -> None:
"""Set up parallel execution and progress reporting.
@@ -59,7 +52,7 @@ class Executor(ABC):
heavily, and parallelizing it with threads is not expected to be
performant).
max_workers: The maximum number of workers that should be run.
tqdm_kwargs: Arguments to set up the progress bar.
progress_kwargs: Arguments to set up the progress bar.
worker_initializer: Called when a worker is initialized, in the worker's
execution context. If the child workers are processes, it must be
possible to marshall/pickle the worker initializer.
@@ -77,7 +70,7 @@ class Executor(ABC):
if not worker_initializer:
worker_initializer = _task_noop
if not task_finished:
task_finished = _task_noop
task_finished = _task_finished_noop
if not task:
task = _task_noop
@@ -85,7 +78,7 @@ class Executor(ABC):
self._execute(
use_threads=use_threads,
max_workers=max_workers,
tqdm_kwargs=tqdm_kwargs,
progress_kwargs=progress_kwargs,
worker_initializer=worker_initializer,
task=task,
task_arguments=task_arguments,
@@ -98,7 +91,7 @@ class Executor(ABC):
*,
use_threads: bool,
max_workers: int,
tqdm_kwargs: dict,
progress_kwargs: dict,
worker_initializer: Callable,
task: Callable,
task_arguments: Iterable,
@@ -124,13 +117,13 @@ class SerialExecutor(Executor):
*,
use_threads: bool,
max_workers: int,
tqdm_kwargs: dict,
progress_kwargs: dict,
worker_initializer: Callable,
task: Callable,
task_arguments: Iterable,
task_finished: Callable,
): # pylint: disable=unused-argument
with self.pbar_class(**tqdm_kwargs) as pbar:
with self.pbar_class(**progress_kwargs) as pbar:
for args in task_arguments:
result = task(args)
result = task(*args)
task_finished(result, pbar)
+10
View File
@@ -0,0 +1,10 @@
# SPDX-FileCopyrightText: 2024 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
# Enforce English hegemony
DEFAULT_LANGUAGE = 'eng'
# Default rotation threshold
DEFAULT_ROTATE_PAGES_THRESHOLD = 14.0
PROGRAM_NAME = 'OCRmyPDF'
+82 -40
View File
@@ -8,7 +8,7 @@ from __future__ import annotations
import logging
import os
import re
import sys
from collections import deque
from io import BytesIO
from os import fspath
from pathlib import Path
@@ -17,18 +17,14 @@ from subprocess import PIPE, CalledProcessError
from packaging.version import Version
from PIL import Image, UnidentifiedImageError
from ocrmypdf.exceptions import SubprocessOutputError
from ocrmypdf.exceptions import (
ColorConversionNeededError,
InputFileError,
SubprocessOutputError,
)
from ocrmypdf.helpers import Resolution
from ocrmypdf.subprocess import get_version, run, run_polling_stderr
# Remove this workaround when we require Pillow >= 10
try:
Transpose = Image.Transpose # type: ignore
except AttributeError:
# Pillow 9 shim
Transpose = Image # type: ignore
COLOR_CONVERSION_STRATEGIES = frozenset(
[
'CMYK',
@@ -38,38 +34,44 @@ COLOR_CONVERSION_STRATEGIES = frozenset(
'UseDeviceIndependentColor',
]
)
# Ghostscript executable - gswin32c is not supported
GS = 'gswin64c' if os.name == 'nt' else 'gs'
log = logging.getLogger(__name__)
class DuplicateFilter(logging.Filter):
"""Filter out duplicate log messages."""
"""Filter out duplicate log messages.
def __init__(self, logger: logging.Logger):
self.last: logging.LogRecord | None = None
self.count = 0
A context window of default 5 messages is used to determine if a message is a
duplicate. This is because some Ghostscript messages are word wrapped.
"""
def __init__(self, logger: logging.Logger, context_window=5):
self.window: deque[str] = deque([], maxlen=context_window)
self.logger = logger
self.levelno = logging.DEBUG
self.count = 0
def filter(self, record):
if self.last and record.msg == self.last.msg:
if record.msg in self.window:
self.count += 1
self.levelno = record.levelno
return False
else:
if self.count >= 1:
rep_msg = f"(previous message repeated {self.count} times)"
rep_msg = f"(suppressed {self.count} repeated lines)"
self.count = 0 # Avoid infinite recursion
self.logger.log(self.last.levelno, rep_msg)
self.last = record
self.logger.log(self.levelno, rep_msg)
self.window.clear()
self.window.append(record.msg)
return True
log.addFilter(DuplicateFilter(log))
# Ghostscript executable - gswin32c is not supported
GS = 'gswin64c' if os.name == 'nt' else 'gs'
def version() -> Version:
return Version(get_version(GS))
@@ -79,6 +81,20 @@ def _gs_error_reported(stream) -> bool:
return bool(match)
def _gs_devicen_reported(stream) -> bool:
"""Did Ghostscript warn about a DeviceN with inappropriate alternate?
If so, we need the user to select a color conversion, or the resulting PDF will
not present correctly in some PDF viewers.
"""
match = re.search(
r'DeviceN.*inappropriate alternate',
stream,
flags=re.IGNORECASE | re.MULTILINE,
)
return bool(match)
def rasterize_pdf(
input_file: os.PathLike,
output_file: os.PathLike,
@@ -99,7 +115,6 @@ def rasterize_pdf(
args_gs = (
[
GS,
'-dQUIET',
'-dSAFER',
'-dBATCH',
'-dNOPAUSE',
@@ -113,7 +128,7 @@ def rasterize_pdf(
+ (['-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',
@@ -125,33 +140,48 @@ 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 rotation is not None:
log.debug("Rotating output by %i", rotation)
# rotation is a clockwise angle and Image.ROTATE_* is
# counterclockwise so this cancels out the rotation
if rotation == 90:
im = im.transpose(Transpose.ROTATE_90)
im = im.transpose(Image.Transpose.ROTATE_90)
elif rotation == 180:
im = im.transpose(Transpose.ROTATE_180)
im = im.transpose(Image.Transpose.ROTATE_180)
elif rotation == 270:
im = im.transpose(Transpose.ROTATE_270)
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:
@@ -165,6 +195,17 @@ 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
@@ -175,7 +216,8 @@ 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()
@@ -247,23 +289,21 @@ def generate_pdfa(
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
@@ -281,3 +321,5 @@ def generate_pdfa(
# the **** pattern to split the stderr into parts.
for part in stderr.split('****'):
log.error(part)
if _gs_devicen_reported(stderr):
raise ColorConversionNeededError()
+10 -16
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():
@@ -25,7 +31,7 @@ def available():
return True
def convert_group(*, cwd, infiles, out_prefix, threshold):
def convert_group(cwd, infiles, out_prefix, threshold):
args = [
'jbig2',
'-b',
@@ -43,21 +49,9 @@ def convert_group(*, cwd, infiles, out_prefix, threshold):
return proc
def convert_group_mp(args):
return convert_group(
cwd=args[0], infiles=args[1], out_prefix=args[2], threshold=args[3]
)
def convert_single(*, cwd, infile, outfile, threshold):
def convert_single(cwd, infile, outfile, threshold):
args = ['jbig2', '--pdf', '-t', str(threshold), infile]
with open(outfile, 'wb') as fstdout:
proc = run(args, cwd=cwd, stdout=fstdout, stderr=PIPE)
proc.check_returncode()
return proc
def convert_single_mp(args):
return convert_single(
cwd=args[0], infile=args[1], outfile=args[2], threshold=args[3]
)
+9 -21
View File
@@ -5,13 +5,10 @@
from __future__ import annotations
from contextlib import contextmanager
from io import BytesIO
from pathlib import Path
from subprocess import PIPE
from packaging.version import Version
from PIL import Image
from ocrmypdf.exceptions import MissingDependencyError
from ocrmypdf.subprocess import get_version, run
@@ -29,21 +26,16 @@ def available():
return True
@contextmanager
def input_as_png(input_file: Path):
if not input_file.name.endswith('.png'):
with Image.open(input_file) as im:
bio = BytesIO()
im.save(bio, format='png')
bio.seek(0)
yield bio
else:
with open(input_file, 'rb') as f:
yield f
def quantize(input_file: Path, output_file: Path, quality_min: int, quality_max: int):
with input_as_png(input_file) as input_stream:
"""Quantize a PNG image using pngquant.
Args:
input_file: Input PNG image
output_file: Output PNG image
quality_min: Minimum quality to use
quality_max: Maximum quality to use
"""
with open(input_file, 'rb') as input_stream:
args = [
'pngquant',
'--force',
@@ -58,7 +50,3 @@ def quantize(input_file: Path, output_file: Path, quality_min: int, quality_max:
if result.returncode == 0:
# input_file could be the same as output_file, so we defer the write
output_file.write_bytes(result.stdout)
def quantize_mp(args):
return quantize(*args)
+21 -32
View File
@@ -7,13 +7,13 @@ from __future__ import annotations
import logging
import re
from contextlib import suppress
from math import pi
from os import fspath
from pathlib import Path
from subprocess import PIPE, STDOUT, CalledProcessError, TimeoutExpired
from packaging.version import Version
from PIL import Image
from ocrmypdf.exceptions import (
MissingDependencyError,
@@ -26,25 +26,6 @@ from ocrmypdf.subprocess import get_version, run
log = logging.getLogger(__name__)
HOCR_TEMPLATE = """<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<title></title>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<meta name='ocr-system' content='tesseract 4.1.1' />
<meta name='ocr-capabilities'
content='ocr_page ocr_carea ocr_par ocr_line ocrx_word ocrp_wconf'/>
</head>
<body>
<div class='ocr_page' id='page_1'
title='image "_blank.png"; bbox 0 0 {0} {1}; ppageno 0'>
</div>
</body>
</html>
"""
TESSERACT_THRESHOLDING_METHODS: dict[str, int] = {
'auto': 0,
'otsu': 0,
@@ -205,6 +186,18 @@ 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
) -> float:
@@ -223,11 +216,9 @@ def get_deskew(
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)
@@ -239,7 +230,8 @@ 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:
@@ -284,14 +276,11 @@ def page_timedout(timeout: float) -> None:
def _generate_null_hocr(output_hocr: Path, output_text: Path, image: Path) -> None:
"""Produce a .hocr file that reports no text detected.
"""Produce an empty .hocr file.
Ensures page is the same size as the input image.
"""
with Image.open(image) as im:
w, h = im.size
output_hocr.write_text(HOCR_TEMPLATE.format(w, h), encoding='utf-8')
output_hocr.write_text('', encoding='utf-8')
output_text.write_text('[skipped page]', encoding='utf-8')
@@ -350,7 +339,7 @@ def generate_hocr(
tesseract_log_output(stdout)
# The sidecar text file will get the suffix .txt; rename it to
# whatever caller wants it named
if prefix.with_suffix('.txt').exists():
with suppress(FileNotFoundError):
prefix.with_suffix('.txt').replace(output_text)
@@ -406,7 +395,7 @@ def generate_pdf(
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
stdout = p.stdout
if prefix.with_suffix('.txt').exists():
with suppress(FileNotFoundError):
prefix.with_suffix('.txt').replace(output_text)
except TimeoutExpired:
page_timedout(timeout)
+13 -66
View File
@@ -8,47 +8,26 @@ from __future__ import annotations
import logging
import os
import shlex
import sys
from collections.abc import Iterator
from contextlib import contextmanager
from decimal import Decimal
from pathlib import Path
from subprocess import PIPE, STDOUT
from typing import Iterator, Union
from tempfile import TemporaryDirectory
from packaging.version import Version
from PIL import Image
from ocrmypdf.exceptions import MissingDependencyError, SubprocessOutputError
from ocrmypdf.exceptions import SubprocessOutputError
from ocrmypdf.subprocess import get_version, run
# unpaper documentation:
# https://github.com/Flameeyes/unpaper/blob/main/doc/basic-concepts.md
if sys.version_info >= (3, 10):
from tempfile import TemporaryDirectory
else:
from tempfile import TemporaryDirectory as _TemporaryDirectory
class TemporaryDirectory(_TemporaryDirectory):
"""Shim to consume ignore_cleanup_errors kwarg on Python 3.9 and older.
The argument is consumed without action. If users are getting errors related
to temporary file cleanup, they should upgrade to Python 3.10 which properly
cleans up temporary directories on Windows.
See: https://github.com/python/cpython/pull/24793
"""
def __init__(self, ignore_cleanup_errors=False, **kwargs):
super().__init__(**kwargs)
del _TemporaryDirectory
UNPAPER_IMAGE_PIXEL_LIMIT = 256 * 1024 * 1024
DecFloat = Union[Decimal, float]
DecFloat = Decimal | float
log = logging.getLogger(__name__)
@@ -69,33 +48,7 @@ class UnpaperImageTooLargeError(Exception):
def version() -> Version:
return Version(get_version('unpaper'))
SUPPORTED_MODES = {'1', 'L', 'RGB'}
def _convert_image(im: Image.Image) -> tuple[Image.Image, bool]:
im_modified = False
if im.mode not in SUPPORTED_MODES:
log.info("Converting image to other colorspace")
try:
if im.mode == 'P' and len(im.getcolors()) == 2:
im = im.convert(mode='1')
else:
im = im.convert(mode='RGB')
except OSError as e:
raise MissingDependencyError(
"Could not convert image with type " + im.mode
) from e
else:
im_modified = True
if im.mode not in SUPPORTED_MODES:
raise MissingDependencyError(
"Failed to convert image to a supported format."
) from None
return im, im_modified
return Version(get_version('unpaper', regex=r'(?m).*?(\d+(\.\d+)(\.\d+)?)'))
@contextmanager
@@ -103,21 +56,15 @@ def _setup_unpaper_io(input_file: Path) -> Iterator[tuple[Path, Path, Path]]:
with Image.open(input_file) as im:
if im.width * im.height >= UNPAPER_IMAGE_PIXEL_LIMIT:
raise UnpaperImageTooLargeError(w=im.width, h=im.height)
im, im_modified = _convert_image(im)
with TemporaryDirectory(ignore_cleanup_errors=True) as tmpdir:
tmppath = Path(tmpdir)
if im_modified or input_file.suffix != '.png':
input_png = tmppath / 'input.png'
im.save(input_png, format='PNG')
else:
# No changes, PNG input, just use the file we already have
input_png = input_file
# unpaper can write .png too, but it seems to write them slowly
# adds a few seconds to test suite - so just use pnm
output_pnm = tmppath / 'output.pnm'
yield input_png, output_pnm, tmppath
with TemporaryDirectory(ignore_cleanup_errors=True) as tmpdir:
tmppath = Path(tmpdir)
# No changes, PNG input, just use the file we already have
input_png = input_file
# unpaper can write .png too, but it seems to write them slowly
# adds a few seconds to test suite - so just use pnm
output_pnm = tmppath / 'output.pnm'
yield input_png, output_pnm, tmppath
def run_unpaper(
+81 -49
View File
@@ -7,32 +7,46 @@ from __future__ import annotations
import logging
from contextlib import suppress
from enum import Enum
from pathlib import Path
from pikepdf import (
Dictionary,
Matrix,
Name,
Object,
Operator,
Page,
Pdf,
PdfError,
PdfMatrix,
Stream,
parse_content_stream,
unparse_content_stream,
)
from ocrmypdf._jobcontext import PdfContext
class RenderMode(Enum):
ON_TOP = 0
UNDERNEATH = 1
log = logging.getLogger(__name__)
MAX_REPLACE_PAGES = 100
def _ensure_dictionary(obj, name):
def _ensure_dictionary(obj: Dictionary | Stream, name: Name):
if name not in obj:
obj[name] = Dictionary({})
return obj[name]
def _update_resources(*, obj, font, font_key, procset):
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.
@@ -42,29 +56,36 @@ def _update_resources(*, obj, font, font_key, procset):
if font_key is not None and font_key not in fonts:
fonts[font_key] = font
# Reassign /ProcSet to one that just lists everything - ProcSet is
# obsolete and doesn't matter but recommended for old viewer support
if procset:
resources['/ProcSet'] = procset
def strip_invisible_text(pdf, page):
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'):
try:
render_mode = render_mode_stack.pop()
except IndexError:
# Stack underflow: content stream is malformed
# but try to carry on
pass
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
@@ -79,22 +100,20 @@ def strip_invisible_text(pdf, page):
class OcrGrafter:
"""Manages grafting text-only PDFs onto regular PDFs."""
def __init__(self, context):
def __init__(self, context: PdfContext):
self.context = context
self.path_base = context.origin
self.pdf_base = Pdf.open(self.path_base)
self.font, self.font_key = None, None
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.procset = self.pdf_base.make_indirect(
Object.parse(b'[ /PDF /Text /ImageB /ImageC /ImageI ]')
)
self.emplacements = 1
self.interim_count = 0
self.render_mode = RenderMode.UNDERNEATH
def graft_page(
self,
@@ -119,7 +138,9 @@ class OcrGrafter:
foreign_image_page = pdf_image.pages[0]
self.pdf_base.pages.append(foreign_image_page)
local_image_page = self.pdf_base.pages[-1]
self.pdf_base.pages[pageno].emplace(local_image_page)
self.pdf_base.pages[pageno].emplace(
local_image_page, retain=(Name.Parent,)
)
del self.pdf_base.pages[-1]
emplaced_page = True
@@ -135,6 +156,8 @@ class OcrGrafter:
)
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
@@ -144,7 +167,6 @@ class OcrGrafter:
font=self.font,
font_key=self.font_key,
text_rotation=text_misaligned,
procset=self.procset,
strip_old_text=strip_old,
)
@@ -159,7 +181,7 @@ class OcrGrafter:
if self.emplacements % MAX_REPLACE_PAGES == 0:
self.save_and_reload()
def save_and_reload(self):
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
@@ -167,9 +189,7 @@ class OcrGrafter:
back.
"""
page0 = self.pdf_base.pages[0]
_update_resources(
obj=page0, font=self.font, font_key=self.font_key, procset=self.procset
)
_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.
@@ -188,7 +208,6 @@ class OcrGrafter:
self.pdf_base.close()
self.pdf_base = Pdf.open(next_file)
self.procset = self.pdf_base.pages[0].Resources.ProcSet
self.font, self.font_key = None, None # Ensure we reacquire this information
self.interim_count += 1
@@ -197,24 +216,32 @@ class OcrGrafter:
self.pdf_base.close()
return self.output_file
def _find_font(self, text):
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('/Font', {})
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 = f
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
@@ -225,9 +252,8 @@ class OcrGrafter:
*,
page_num: int,
textpdf: Path,
font: Object,
font_key: Object,
procset: Object,
font: Dictionary,
font_key: Name,
text_rotation: int,
strip_old_text: bool,
):
@@ -248,19 +274,19 @@ class OcrGrafter:
# 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 = [float(pdf_text.pages[0].MediaBox[v]) for v in range(4)]
mediabox = pdf_text.pages[0].mediabox
wt, ht = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
mediabox = [float(base_page.MediaBox[v]) for v in range(4)]
mediabox = base_page.mediabox
wp, hp = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
translate = PdfMatrix().translated(-wt / 2, -ht / 2)
untranslate = PdfMatrix().translated(wp / 2, hp / 2)
corner = PdfMatrix().translated(mediabox[0], 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 = PdfMatrix().rotated(text_rotation)
rotate = Matrix().rotated(text_rotation)
# 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
@@ -271,14 +297,15 @@ class OcrGrafter:
scale_y = hp / ht
# log.debug('%r', scale_x, scale_y)
scale = PdfMatrix().scaled(scale_x, scale_y)
scale = Matrix().scaled(scale_x, scale_y)
# 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
# finally move the lower left corner to match the mediabox.
ctm = translate @ rotate @ scale @ untranslate @ corner
log.debug("Grafting with ctm %r", ctm)
base_resources = _ensure_dictionary(base_page, Name.Resources)
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)
@@ -287,9 +314,7 @@ class OcrGrafter:
xobj.Subtype = Name.Form
xobj.FormType = 1
xobj.BBox = mediabox
_update_resources(
obj=xobj, font=font, font_key=font_key, procset=[Name.PDF]
)
_update_resources(obj=xobj, font=font, font_key=font_key)
pdf_draw_xobj = (
(b'q %s cm\n' % ctm.encode()) + (b'%s Do\n' % text_xobj_name) + b'\nQ\n'
@@ -298,9 +323,16 @@ class OcrGrafter:
if strip_old_text:
strip_invisible_text(self.pdf_base, base_page)
base_page.contents_add(new_text_layer, prepend=True)
_update_resources(
obj=base_page, font=font, font_key=font_key, procset=procset
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)
+9 -12
View File
@@ -6,12 +6,10 @@
from __future__ import annotations
import os
import shutil
import sys
from argparse import Namespace
from collections.abc import Iterator
from copy import copy
from pathlib import Path
from typing import Iterator
from pluggy import PluginManager
@@ -55,6 +53,12 @@ class PdfContext:
for n in range(npages):
yield PageContext(self, n)
def get_page_context_args(self) -> Iterator[tuple[PageContext]]:
"""Get all ``PageContext`` for this PDF packaged in tuple for args-splatting."""
npages = len(self.pdfinfo)
for n in range(npages):
yield (PageContext(self, n),)
class PageContext:
"""Holds our context for a page.
@@ -89,15 +93,8 @@ class PageContext:
state = self.__dict__.copy()
state['options'] = copy(self.options)
if not isinstance(state['options'].input_file, (str, bytes, os.PathLike)):
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)):
if not isinstance(state['options'].output_file, str | bytes | os.PathLike):
state['options'].output_file = 'stream'
return state
def cleanup_working_files(work_folder: Path, options: Namespace):
if options.keep_temporary_files:
print(f"Temporary working files retained at:\n{work_folder}", file=sys.stderr)
else:
shutil.rmtree(work_folder, ignore_errors=True)
+1 -63
View File
@@ -9,15 +9,6 @@ import logging
from rich.console import Console
from rich.logging import RichHandler
from rich.progress import (
BarColumn,
MofNCompleteColumn,
Progress,
TaskProgressColumn,
TextColumn,
TimeRemainingColumn,
)
from rich.table import Column
class PageNumberFilter(logging.Filter):
@@ -35,58 +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
)
class RichTqdmProgressAdapter:
"""Adapt tqdm API to rich progress bar."""
def __init__(
self,
*,
console: Console,
desc: str,
total: float | None = None,
unit: str | None = None,
unit_scale: float | None = 1.0,
disable: bool = False,
**kwargs,
):
self.progress = Progress(
TextColumn(
"[progress.description]{task.description}",
table_column=Column(min_width=20),
),
BarColumn(),
TaskProgressColumn(),
MofNCompleteColumn(),
TimeRemainingColumn(),
console=console,
auto_refresh=True,
redirect_stderr=True,
redirect_stdout=False,
disable=disable,
**kwargs,
)
self.unit_scale = unit_scale
self.progress_bar = self.progress.add_task(
desc,
total=total * self.unit_scale
if total is not None and self.unit_scale is not None
else None,
unit=unit,
)
def __enter__(self):
self.progress.start()
return self
def __exit__(self, exc_type, exc_value, traceback):
self.progress.refresh()
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)
+215
View File
@@ -0,0 +1,215 @@
# SPDX-FileCopyrightText: 2023 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""OCRmyPDF page processing pipeline functions."""
from __future__ import annotations
import logging
import os
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from pikepdf import Dictionary, Name, Pdf
from pikepdf import __version__ as PIKEPDF_VERSION
from pikepdf.models.metadata import PdfMetadata, encode_pdf_date
from ocrmypdf._annots import remove_broken_goto_annotations
from ocrmypdf._defaults import PROGRAM_NAME
from ocrmypdf._jobcontext import PdfContext
from ocrmypdf._version import __version__ as OCRMYPF_VERSION
from ocrmypdf.languages import iso_639_2_from_3
log = logging.getLogger(__name__)
def get_docinfo(base_pdf: Pdf, context: PdfContext) -> dict[str, str]:
"""Read the document info and store it in a dictionary."""
options = context.options
def from_document_info(key):
try:
s = base_pdf.docinfo[key]
return str(s)
except (KeyError, TypeError):
return ''
pdfmark = {
k: from_document_info(k)
for k in ('/Title', '/Author', '/Keywords', '/Subject', '/CreationDate')
}
if options.title:
pdfmark['/Title'] = options.title
if options.author:
pdfmark['/Author'] = options.author
if options.keywords:
pdfmark['/Keywords'] = options.keywords
if options.subject:
pdfmark['/Subject'] = options.subject
creator_tag = context.plugin_manager.hook.get_ocr_engine().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))
return pdfmark
def report_on_metadata(options, missing):
if not missing:
return
if options.output_type.startswith('pdfa'):
log.warning(
"Some input metadata could not be copied because it is not "
"permitted in PDF/A. You may wish to examine the output "
"PDF's XMP metadata."
)
log.debug("The following metadata fields were not copied: %r", missing)
else:
log.error(
"Some input metadata could not be copied."
"You may wish to examine the output PDF's XMP metadata."
)
log.info("The following metadata fields were not copied: %r", missing)
def repair_docinfo_nuls(pdf):
"""If the DocumentInfo block contains NUL characters, remove them.
If the DocumentInfo block is malformed, log an error and continue.
"""
modified = False
try:
if not isinstance(pdf.docinfo, Dictionary):
raise TypeError("DocumentInfo is not a dictionary")
for k, v in pdf.docinfo.items():
if isinstance(v, str) and b'\x00' in bytes(v):
pdf.docinfo[k] = bytes(v).replace(b'\x00', b'')
modified = True
except TypeError:
# TypeError can also be raised if dictionary items are unexpected types
log.error("File contains a malformed DocumentInfo block - continuing anyway.")
return modified
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
def _fix_metadata(meta_original: PdfMetadata, meta_pdf: PdfMetadata):
# If xmp:CreateDate is missing, set it to the modify date to
# 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':
# 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']
def _unset_empty_metadata(meta: PdfMetadata, options):
"""Unset metadata fields that were explicitly set to empty strings.
If the user explicitly specified an empty string for any of the
following, they should be unset and not reported as missing in
the output pdf. Note that some metadata fields use differing names
between PDF/A and PDF.
"""
if options.title == '' and 'dc:title' in meta:
del meta['dc:title'] # PDF/A and PDF
if options.author == '':
if 'dc:creator' in meta:
del meta['dc:creator'] # PDF/A (Not xmp:CreatorTool)
if 'pdf:Author' in meta:
del meta['pdf:Author'] # PDF
if options.subject == '':
if 'dc:description' in meta:
del meta['dc:description'] # PDF/A
if 'dc:subject' in meta:
del meta['dc:subject'] # PDF
if options.keywords == '' and 'pdf:Keywords' in meta:
del meta['pdf:Keywords'] # PDF/A and PDF
def _set_language(pdf: Pdf, languages: list[str]):
"""Set the language of the PDF."""
if Name.Lang in pdf.Root or not languages:
return # Already set or can't change
primary_language_iso639_3 = languages[0]
if not primary_language_iso639_3:
return
iso639_2 = iso_639_2_from_3(primary_language_iso639_3)
if not iso639_2:
return
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 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
conversion.
"""
output_file = context.get_path('metafix.pdf')
options = context.options
pbar_class = context.plugin_manager.hook.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,
):
meta_pdf.load_from_docinfo(
docinfo, delete_missing=False, raise_failure=False
)
_fix_metadata(meta_original, meta_pdf)
_unset_empty_metadata(meta_original, options)
_unset_empty_metadata(meta_pdf, options)
meta_missing = set(meta_original.keys()) - set(meta_pdf.keys())
report_on_metadata(options, meta_missing)
_set_language(pdf, options.languages)
pdf.save(output_file, progress=pbar, **pdf_save_settings)
return output_file
+182 -167
View File
@@ -10,48 +10,54 @@ import logging
import os
import re
import sys
from collections.abc import Iterable, Iterator, Sequence
from contextlib import suppress
from datetime import datetime, timezone
from io import BytesIO
from pathlib import Path
from shutil import copyfileobj
from typing import Any, BinaryIO, Iterable, Iterator, Sequence, cast
from typing import Any, BinaryIO, TypeVar, cast
import img2pdf
import pikepdf
from pikepdf.models.metadata import encode_pdf_date
from PIL import Image, ImageColor, ImageDraw
from ocrmypdf._concurrent import Executor
from ocrmypdf._exec import unpaper
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._version import PROGRAM_NAME
from ocrmypdf._version import __version__ as VERSION
from ocrmypdf._metadata import repair_docinfo_nuls
from ocrmypdf.exceptions import (
DigitalSignatureError,
DpiError,
EncryptedPdfError,
InputFileError,
PriorOcrFoundError,
TaggedPDFError,
UnsupportedImageFormatError,
)
from ocrmypdf.helpers import IMG2PDF_KWARGS, Resolution, safe_symlink
from ocrmypdf.hocrtransform import HocrTransform
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
# Remove this workaround when we require Pillow >= 10
try:
BICUBIC = Image.Resampling.BICUBIC # type: ignore
except AttributeError: # pragma: no cover
# Pillow 9 shim
BICUBIC = Image.BICUBIC # type: ignore
from pi_heif import register_heif_opener
except ImportError:
def register_heif_opener():
pass
T = TypeVar("T")
log = logging.getLogger(__name__)
VECTOR_PAGE_DPI = 400
register_heif_opener()
def triage_image_file(input_file: Path, output_file: Path, options) -> None:
"""Triage the input image file.
@@ -73,6 +79,14 @@ 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:
@@ -136,7 +150,7 @@ 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 ''
@@ -145,6 +159,7 @@ def _pdf_guess_version(input_file: Path, search_window=1024) -> str:
def triage(
original_filename: str, input_file: Path, output_file: Path, options
) -> Path:
"""Triage the input file. We can handle PDFs and images."""
try:
if _pdf_guess_version(input_file):
if options.image_dpi:
@@ -152,8 +167,13 @@ 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}")
@@ -171,14 +191,17 @@ def get_pdfinfo(
detailed_analysis: bool = False,
progbar: bool = False,
max_workers: int | None = None,
use_threads: bool = True,
check_pages=None,
) -> PdfInfo:
"""Get the PDF info."""
try:
return PdfInfo(
input_file,
detailed_analysis=detailed_analysis,
progbar=progbar,
max_workers=max_workers,
use_threads=use_threads,
check_pages=check_pages,
executor=executor,
)
@@ -189,6 +212,7 @@ def get_pdfinfo(
def validate_pdfinfo_options(context: PdfContext) -> None:
"""Validate the PDF info options."""
pdfinfo = context.pdfinfo
options = context.options
@@ -220,6 +244,16 @@ def validate_pdfinfo_options(context: PdfContext) -> None:
"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:
raise TaggedPDFError()
context.plugin_manager.hook.validate(pdfinfo=pdfinfo, options=options)
@@ -434,6 +468,7 @@ def get_orientation_correction(preview: Path, page_context: PageContext) -> int:
def calculate_image_dpi(page_context: PageContext) -> Resolution:
"""Calculate the DPI for the page image."""
pageinfo = page_context.pageinfo
dpi_profile = pageinfo.page_dpi_profile()
if dpi_profile and dpi_profile.average_to_max_dpi_ratio < 0.8:
@@ -453,7 +488,7 @@ 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.",
@@ -509,6 +544,7 @@ def rasterize(
device_idx = at_least('png16m')
if pageinfo.has_vector:
log.debug("Page has vector content, using png16m")
device_idx = at_least('png16m')
device = colorspaces[device_idx]
@@ -532,6 +568,7 @@ def rasterize(
def preprocess_remove_background(input_file: Path, page_context: PageContext) -> Path:
"""Remove the background from the input image (temporarily disabled)."""
if any(image.bpc > 1 for image in page_context.pageinfo.images):
raise NotImplementedError("--remove-background is temporarily not implemented")
# output_file = page_context.get_path('pp_rm_bg.png')
@@ -562,7 +599,7 @@ def preprocess_deskew(input_file: Path, page_context: PageContext) -> Path:
# resampling if image is mode '1' or 'P'
deskewed = im.rotate(
deskew_angle_degrees,
resample=BICUBIC,
resample=Image.Resampling.BICUBIC,
fillcolor=ImageColor.getcolor('white', mode=im.mode), # type: ignore
)
deskewed.save(output_file, dpi=dpi)
@@ -571,6 +608,7 @@ def preprocess_deskew(input_file: Path, page_context: PageContext) -> Path:
def preprocess_clean(input_file: Path, page_context: PageContext) -> Path:
"""Clean the input image using unpaper."""
output_file = page_context.get_path('pp_clean.png')
dpi = get_page_square_dpi(page_context, calculate_image_dpi(page_context))
return unpaper.clean(
@@ -631,6 +669,7 @@ def create_ocr_image(image: Path, page_context: PageContext) -> Path:
def ocr_engine_hocr(input_file: Path, page_context: PageContext) -> tuple[Path, Path]:
"""Run the OCR engine and generate hOCR output."""
hocr_out = page_context.get_path('ocr_hocr.hocr')
hocr_text_out = page_context.get_path('ocr_hocr.txt')
options = page_context.options
@@ -642,7 +681,7 @@ def ocr_engine_hocr(input_file: Path, page_context: PageContext) -> tuple[Path,
output_text=hocr_text_out,
options=options,
)
return (hocr_out, hocr_text_out)
return hocr_out, hocr_text_out
def should_visible_page_image_use_jpg(pageinfo: PageInfo) -> bool:
@@ -662,6 +701,10 @@ def should_visible_page_image_use_jpg(pageinfo: PageInfo) -> bool:
def create_visible_page_jpg(image: Path, page_context: PageContext) -> Path:
"""Create a visible page image in JPEG format.
This is intended to be used when all images on the page were originally JPEGs.
"""
output_file = page_context.get_path('visible.jpg')
with Image.open(image) as im:
# At this point the image should be a .png, but deskew, unpaper
@@ -683,6 +726,7 @@ def create_visible_page_jpg(image: Path, page_context: PageContext) -> Path:
def create_pdf_page_from_image(
image: Path, page_context: PageContext, orientation_correction: int
) -> Path:
"""Create a PDF page from a page image."""
# We rasterize a square DPI version of each page because most image
# processing tools don't support rectangular DPI. Use the square DPI as it
# accurately describes the image. It would be possible to resample the image
@@ -694,19 +738,29 @@ def create_pdf_page_from_image(
pageinfo = page_context.pageinfo
pagesize = 72.0 * float(pageinfo.width_inches), 72.0 * float(pageinfo.height_inches)
effective_rotation = (pageinfo.rotation - orientation_correction) % 360
if effective_rotation % 180 == 90:
swap_axis = effective_rotation % 180 == 90
if swap_axis:
pagesize = pagesize[1], pagesize[0]
# This create a single page PDF
with open(image, 'rb') as imfile, open(output_file, 'wb') as pdf:
# Create a new single page PDF to hold
bio = BytesIO()
with open(image, 'rb') as imfile:
log.debug('convert')
layout_fun = img2pdf.get_layout_fun(pagesize)
img2pdf.convert(
imfile, layout_fun=layout_fun, outputstream=pdf, **IMG2PDF_KWARGS
imfile,
layout_fun=layout_fun,
outputstream=bio,
engine=img2pdf.Engine.pikepdf,
rotation=img2pdf.Rotation.ifvalid,
)
log.debug('convert done')
# img2pdf does not generate boxes correctly, so we fix them
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(
page=page_context, image_filename=image, output_pdf=output_file
)
@@ -714,18 +768,36 @@ def create_pdf_page_from_image(
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')
dpi = get_page_square_dpi(page_context, calculate_image_dpi(page_context))
debug_mode = options.pdf_renderer == 'hocrdebug'
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
hocrtransform = HocrTransform(hocr_filename=hocr, dpi=dpi.x) # square
hocrtransform.to_pdf(
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,
show_bounding_boxes=False if not debug_mode else True,
invisible_text=True if not debug_mode else False,
interword_spaces=True,
invisible_text=True if not debug_kwargs else False,
)
return output_file
@@ -733,6 +805,7 @@ def render_hocr_page(hocr: Path, page_context: PageContext) -> Path:
def ocr_engine_textonly_pdf(
input_image: Path, page_context: PageContext
) -> tuple[Path, Path]:
"""Run the OCR engine and generate a text-only PDF (will look blank)."""
output_pdf = page_context.get_path('ocr_tess.pdf')
output_text = page_context.get_path('ocr_tess.txt')
options = page_context.options
@@ -744,38 +817,57 @@ def ocr_engine_textonly_pdf(
output_text=output_text,
options=options,
)
return (output_pdf, output_text)
return output_pdf, output_text
def get_docinfo(base_pdf: pikepdf.Pdf, context: PdfContext) -> dict[str, str]:
options = context.options
def _offset_rect(rect: tuple[float, float, float, float], offset: tuple[float, float]):
"""Offset a rectangle by a given amount."""
return (
rect[0] + offset[0],
rect[1] + offset[1],
rect[2] + offset[0],
rect[3] + offset[1],
)
def from_document_info(key):
try:
s = base_pdf.docinfo[key]
return str(s)
except (KeyError, TypeError):
return ''
pdfmark = {
k: from_document_info(k)
for k in ('/Title', '/Author', '/Keywords', '/Subject', '/CreationDate')
}
if options.title:
pdfmark['/Title'] = options.title
if options.author:
pdfmark['/Author'] = options.author
if options.keywords:
pdfmark['/Keywords'] = options.keywords
if options.subject:
pdfmark['/Subject'] = options.subject
def fix_pagepdf_boxes(
infile: Path | BinaryIO,
out_file: Path,
page_context: PageContext,
swap_axis: bool = False,
) -> Path:
"""Fix the bounding boxes in a single page PDF.
creator_tag = context.plugin_manager.hook.get_ocr_engine().creator_tag(options)
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
boxes in the single page PDF to match the effect they had on the original page.
pdfmark['/Creator'] = f'{PROGRAM_NAME} {VERSION} / {creator_tag}'
pdfmark['/Producer'] = f'pikepdf {pikepdf.__version__}'
pdfmark['/ModDate'] = encode_pdf_date(datetime.now(timezone.utc))
return pdfmark
When correcting page rotation, we create a single page PDF that is correctly
rotated instead of an incorrectly rotated and then setting page.Rotate on it.
If rotation is either 90 or 270 degrees, then this function can be called
with swap_axis to swap the X and Y coordinates of all the boxes.
We are not concerned with solving degenerate cases where the boxes overlap or
or express invalid rectangles. We merely pass the boxes, producing a
transformation equivalent to the change made by constructing a new page image.
"""
with pikepdf.open(infile) as pdf:
for page in pdf.pages:
# page.BleedBox = page_context.pageinfo.bleedbox
# page.ArtBox = page_context.pageinfo.artbox
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)
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
pdf.save(out_file)
return out_file
def generate_postscript_stub(context: PdfContext) -> Path:
@@ -793,6 +885,14 @@ def generate_postscript_stub(context: PdfContext) -> Path:
def convert_to_pdfa(input_pdf: Path, input_ps_stub: Path, context: PdfContext) -> Path:
"""Converts the given PDF to PDF/A.
Args:
input_pdf: The input PDF file path (presumably not PDF/A).
input_ps_stub: The input PostScript file path, containing instructions
for the PDF/A generator to use.
context: The PDF context.
"""
options = context.options
input_pdfinfo = context.pdfinfo
fix_docinfo_file = context.get_path('fix_docinfo.pdf')
@@ -804,7 +904,7 @@ def convert_to_pdfa(input_pdf: Path, input_ps_stub: Path, context: PdfContext) -
# pikepdf can deal with this, but we make the world a better place by
# stamping them out as soon as possible.
with pikepdf.open(input_pdf) as pdf_file:
if _repair_docinfo_nuls(pdf_file):
if repair_docinfo_nuls(pdf_file):
pdf_file.save(fix_docinfo_file)
else:
safe_symlink(input_pdf, fix_docinfo_file)
@@ -827,26 +927,11 @@ def convert_to_pdfa(input_pdf: Path, input_ps_stub: Path, context: PdfContext) -
return output_file
def _repair_docinfo_nuls(pdf):
"""If the DocumentInfo block contains NUL characters, remove them.
If the DocumentInfo block is malformed, log an error and continue.
"""
modified = False
try:
if not isinstance(pdf.docinfo, pikepdf.Dictionary):
raise TypeError("DocumentInfo is not a dictionary")
for k, v in pdf.docinfo.items():
if isinstance(v, str) and b'\x00' in bytes(v):
pdf.docinfo[k] = bytes(v).replace(b'\x00', b'')
modified = True
except TypeError:
# TypeError can also be raised if dictionary items are unexpected types
log.error("File contains a malformed DocumentInfo block - continuing anyway.")
return modified
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
@@ -854,6 +939,11 @@ def should_linearize(working_file: Path, context: PdfContext) -> bool:
def get_pdf_save_settings(output_type: str) -> dict[str, Any]:
"""Get pikepdf.Pdf.save settings for the given output type.
Essentially, don't use features that are incompatible with a given
PDF/A specification.
"""
if output_type == 'pdfa-1':
# Trigger recompression to ensure object streams are removed, because
# Acrobat complains about them in PDF/A-1b validation.
@@ -871,83 +961,6 @@ def get_pdf_save_settings(output_type: str) -> dict[str, Any]:
)
def metadata_fixup(working_file: Path, context: PdfContext) -> Path:
output_file = context.get_path('metafix.pdf')
options = context.options
def report_on_metadata(missing):
if not missing:
return
if options.output_type.startswith('pdfa'):
log.warning(
"Some input metadata could not be copied because it is not "
"permitted in PDF/A. You may wish to examine the output "
"PDF's XMP metadata."
)
log.debug("The following metadata fields were not copied: %r", missing)
else:
log.error(
"Some input metadata could not be copied."
"You may wish to examine the output PDF's XMP metadata."
)
log.info("The following metadata fields were not copied: %r", missing)
with pikepdf.open(context.origin) as original, pikepdf.open(working_file) as pdf:
docinfo = get_docinfo(original, context)
with pdf.open_metadata() as meta_pdf:
meta_pdf.load_from_docinfo(
docinfo, delete_missing=False, raise_failure=False
)
# If xmp:CreateDate is missing, set it to the modify date to
# ensure consistency with Ghostscript.
if 'xmp:CreateDate' not in meta_pdf:
meta_pdf['xmp:CreateDate'] = meta_pdf.get('xmp:ModifyDate', '')
with original.open_metadata(
set_pikepdf_as_editor=False, update_docinfo=False, strict=False
) as meta_original:
if meta_pdf.get('dc:title') == 'Untitled':
# 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']
# If the user explicitly specified an empty string for any of the
# following, they should be unset and not reported as missing in
# the output pdf. Note that some metadata fields use differing names
# between PDF-A and PDF.
for meta in [meta_pdf, meta_original]:
if options.title == '' and 'dc:title' in meta:
del meta['dc:title'] # PDF-A and PDF
if options.author == '':
if 'dc:creator' in meta:
del meta['dc:creator'] # PDF-A (Not xmp:CreatorTool)
if 'pdf:Author' in meta:
del meta['pdf:Author'] # PDF
if options.subject == '':
if 'dc:description' in meta:
del meta['dc:description'] # PDF-A
if 'dc:subject' in meta:
del meta['dc:subject'] # PDF
if options.keywords == '' and 'pdf:Keywords' in meta:
del meta['pdf:Keywords'] # PDF-A and PDF
meta_missing = set(meta_original.keys()) - set(meta_pdf.keys())
report_on_metadata(meta_missing)
optimizing = context.plugin_manager.hook.is_optimization_enabled(
context=context
)
pdf.save(
output_file,
**get_pdf_save_settings(options.output_type),
linearize=( # Don't linearize if optimize() will be linearizing too
not optimizing and should_linearize(working_file, context)
),
)
return output_file
def _file_size_ratio(
input_file: Path, output_file: Path
) -> tuple[float | None, float | None]:
@@ -974,6 +987,7 @@ def _file_size_ratio(
def optimize_pdf(
input_file: Path, context: PdfContext, executor: Executor
) -> 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(
input_pdf=input_file,
@@ -993,8 +1007,8 @@ def optimize_pdf(
def enumerate_compress_ranges(
iterable: Iterable,
) -> Iterator[tuple[tuple[int, int], Any]]:
iterable: Iterable[T],
) -> Iterator[tuple[tuple[int, int], T | None]]:
"""Enumerate the ranges of non-empty elements in an iterable.
Compresses consecutive ranges of length 1 into single elements.
@@ -1022,21 +1036,22 @@ def enumerate_compress_ranges(
def merge_sidecars(txt_files: Iterable[Path | None], context: PdfContext) -> Path:
"""Merge the page sidecar files into a single file.
Sidecar files are created by the OCR engine and contain the text for each
page in the PDF. This function merges the sidecar files into a single file
and returns the path to the merged file.
"""
output_file = context.get_path('sidecar.txt')
with open(output_file, 'w', encoding="utf-8") as stream:
for (from_, to_), txt_file in enumerate_compress_ranges(txt_files):
if from_ != 1:
stream.write('\f') # Form feed between pages
stream.write('\f') # Form feed between pages for all pages after first
if txt_file:
with open(txt_file, encoding="utf-8") as in_:
txt = in_.read()
# Some OCR engines (e.g. Tesseract v4 alpha) add form feeds
# between pages, and some do not. For consistency, we ignore
# any added by the OCR engine and them on our own.
if txt.endswith('\f'):
stream.write(txt[:-1])
else:
stream.write(txt)
txt = txt_file.read_text(encoding="utf-8")
# Some versions of Tesseract add a form feed at the end and
# 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_}'
@@ -1047,14 +1062,14 @@ def merge_sidecars(txt_files: Iterable[Path | None], context: PdfContext) -> Pat
def copy_final(
input_file: Path, output_file: str | Path | BinaryIO, _context: PdfContext
input_file: Path, output_file: str | Path | BinaryIO, original_file: Path | None
) -> None:
"""Copy the final temporary file to the output destination.
Args:
input_file (Path): The input file to copy.
input_file (Path): The intermediate input file to copy.
output_file (str | Path | BinaryIO): The output file to copy to.
_context (PdfContext): The PDF context.
original_file: The original file to copy attributes from.
Returns:
None
@@ -1073,5 +1088,5 @@ def copy_final(
# At this point we overwrite the output_file specified by the user
# use copyfileobj because then we use open() to create the file and
# get the appropriate umask, ownership, etc.
with open(output_file, 'wb') as output_stream:
with open(output_file, 'w+b') as output_stream:
copyfileobj(input_stream, output_stream)
+5
View File
@@ -0,0 +1,5 @@
# SPDX-FileCopyrightText: 2023 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
from __future__ import annotations
+488
View File
@@ -0,0 +1,488 @@
# SPDX-FileCopyrightText: 2023 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
from __future__ import annotations
import argparse
import json
import logging
import logging.handlers
import os
import shutil
import sys
import threading
from collections.abc import Callable, Sequence
from concurrent.futures.process import BrokenProcessPool
from concurrent.futures.thread import BrokenThreadPool
from contextlib import contextmanager
from dataclasses import dataclass
from pathlib import Path
from typing import NamedTuple, cast
import PIL
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._pipeline import (
convert_to_pdfa,
create_ocr_image,
create_pdf_page_from_image,
create_visible_page_jpg,
generate_postscript_stub,
get_orientation_correction,
get_pdf_save_settings,
get_pdfinfo,
optimize_pdf,
preprocess_clean,
preprocess_deskew,
preprocess_remove_background,
rasterize,
rasterize_preview,
should_linearize,
should_visible_page_image_use_jpg,
)
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf._validation import (
report_output_file_size,
)
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()
tls.pageno = None
def _set_logging_tls(tls):
"""Inject current page number (when available) into log records."""
old_factory = logging.getLogRecordFactory()
def wrapper(*args, **kwargs):
record = old_factory(*args, **kwargs)
if hasattr(tls, 'pageno'):
record.pageno = tls.pageno
return record
logging.setLogRecordFactory(wrapper)
_set_logging_tls(tls)
def set_thread_pageno(pageno: int | None):
"""Set page number (1-based) that the current thread is processing."""
tls.pageno = pageno
class PageResult(NamedTuple):
"""Result when a page is finished processing."""
pageno: int
"""Page number, 0-based."""
pdf_page_from_image: Path | None = None
"""Single page PDF from image."""
ocr: Path | None = None
"""Single page OCR PDF."""
text: Path | None = None
"""Single page text file."""
orientation_correction: int = 0
"""Orientation correction in degrees."""
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):
super().__init__(object_hook=self.dict_to_object, *args, **kwargs)
def dict_to_object(self, d):
if 'Path' in d:
return Path(d['Path'])
return d
@dataclass
class HOCRResult:
"""Result when hOCR is finished processing."""
pageno: int
"""Page number, 0-based."""
pdf_page_from_image: Path | None = None
"""Single page PDF from image."""
hocr: Path | None = None
"""Single page hOCR file."""
textpdf: Path | None = None
"""hOCR file after conversion to PDF."""
orientation_correction: int = 0
"""Orientation correction in degrees."""
@classmethod
def from_json(cls, json_str: str) -> HOCRResult:
"""Create an instance from a dict."""
return cls(**json.loads(json_str, cls=HOCRResultDecoder))
def to_json(self) -> str:
"""Serialize to a JSON string."""
return json.dumps(self.__dict__, cls=HOCRResultEncoder)
def configure_debug_logging(
log_filename: Path, prefix: str = ''
) -> tuple[logging.FileHandler, Callable[[], None]]:
"""Create a debug log file at a specified location.
Returns the log handler, and a function to remove the handler.
Args:
log_filename: Where to the put the log file.
prefix: The logging domain prefix that should be sent to the log.
"""
log_file_handler = logging.FileHandler(log_filename, delay=True)
log_file_handler.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'[%(asctime)s] - %(name)s - %(levelname)7s -%(pageno)s %(message)s'
)
log_file_handler.setFormatter(formatter)
log_file_handler.addFilter(PageNumberFilter())
logging.getLogger(prefix).addHandler(log_file_handler)
def remover():
try:
logging.getLogger(prefix).removeHandler(log_file_handler)
log_file_handler.close()
except OSError as e:
print(e, file=sys.stderr)
return log_file_handler, remover
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
# threaded, but harmless to set again.
PIL.Image.MAX_IMAGE_PIXELS = max_pixels
pikepdf_enable_mmap()
@contextmanager
def manage_debug_log_handler(
*,
options: argparse.Namespace,
work_folder: Path,
):
remover = None
if (options.keep_temporary_files or options.verbose >= 1) and not os.environ.get(
'PYTEST_CURRENT_TEST', ''
):
# Debug log for command line interface only with verbose output
# See https://github.com/pytest-dev/pytest/issues/5502 for why we skip this
# when pytest is running
_debug_log_handler, remover = configure_debug_logging(
work_folder / "debug.log", prefix=""
) # pragma: no cover
try:
yield
finally:
if remover:
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:
yield work_folder
finally:
if retain:
if print_location:
_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,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
"""Convert exceptions into command line error messages and exit codes.
When known exceptions are raised, the exception message is printed to stderr
and the program exits with a non-zero exit code. When unknown exceptions are
raised, the exception traceback is printed to stderr and the program exits
with a non-zero exit code.
"""
try:
# We cannot use a generator and yield here, as would be the usual pattern
# for exception handling context managers, because we need to return an exit
# code.
return fn(options, plugin_manager)
except KeyboardInterrupt:
if options.verbose >= 1:
log.exception("KeyboardInterrupt")
else:
log.error("KeyboardInterrupt")
return ExitCode.ctrl_c
except ExitCodeException as e:
e = cast(ExitCodeException, e)
if options.verbose >= 1:
log.exception("ExitCodeException")
elif str(e):
log.error("%s: %s", type(e).__name__, str(e))
else:
log.error(type(e).__name__)
return e.exit_code
except PIL.Image.DecompressionBombError:
log.exception(
"A decompression bomb error was encountered while executing the "
"pipeline. Use the argument --max-image-mpixels to raise the maximum "
"image pixel limit."
)
return ExitCode.other_error
except (
BrokenProcessPool,
BrokenThreadPool,
):
log.exception(
"A worker process was terminated unexpectedly. This is known to occur if "
"processing your file takes all available swap space and RAM. It may "
"help to try again with a smaller number of jobs, using the --jobs "
"argument."
)
return ExitCode.child_process_error
except Exception: # pylint: disable=broad-except
log.exception("An exception occurred while executing the pipeline")
return ExitCode.other_error
def setup_pipeline(
options: argparse.Namespace,
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()
pikepdf_enable_mmap()
executor = setup_executor(plugin_manager)
return executor
def do_get_pdfinfo(
pdf_path: Path, executor: Executor, options: argparse.Namespace
) -> PdfInfo:
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=options.pages,
)
def preprocess(
page_context: PageContext,
image: Path,
remove_background: bool,
deskew: bool,
clean: bool,
) -> Path:
"""Preprocess an image."""
if remove_background:
image = preprocess_remove_background(image, page_context)
if deskew:
image = preprocess_deskew(image, page_context)
if clean:
image = preprocess_clean(image, page_context)
return image
def make_intermediate_images(
page_context: PageContext, orientation_correction: int
) -> tuple[Path, Path | None]:
"""Create intermediate and preprocessed images for OCR."""
options = page_context.options
ocr_image = preprocess_out = None
rasterize_out = rasterize(
page_context.origin,
page_context,
correction=orientation_correction,
remove_vectors=False,
)
if not any([options.clean, options.clean_final, options.remove_vectors]):
ocr_image = preprocess_out = preprocess(
page_context,
rasterize_out,
options.remove_background,
options.deskew,
clean=False,
)
else:
if not options.lossless_reconstruction:
preprocess_out = preprocess(
page_context,
rasterize_out,
options.remove_background,
options.deskew,
clean=options.clean_final,
)
if options.remove_vectors:
rasterize_ocr_out = rasterize(
page_context.origin,
page_context,
correction=orientation_correction,
remove_vectors=True,
output_tag='_ocr',
)
else:
rasterize_ocr_out = rasterize_out
if (
preprocess_out
and rasterize_ocr_out == rasterize_out
and options.clean == options.clean_final
):
# Optimization: image for OCR is identical to presentation image
ocr_image = preprocess_out
else:
ocr_image = preprocess(
page_context,
rasterize_ocr_out,
options.remove_background,
options.deskew,
clean=options.clean,
)
return ocr_image, preprocess_out
def process_page(page_context: PageContext) -> tuple[Path, Path | None, int]:
"""Process page to create OCR image, visible page image and orientation."""
options = page_context.options
orientation_correction = 0
if options.rotate_pages:
# Rasterize
rasterize_preview_out = rasterize_preview(page_context.origin, page_context)
orientation_correction = get_orientation_correction(
rasterize_preview_out, page_context
)
ocr_image, preprocess_out = make_intermediate_images(
page_context, orientation_correction
)
ocr_image_out = create_ocr_image(ocr_image, page_context)
pdf_page_from_image_out = None
if not options.lossless_reconstruction:
assert preprocess_out
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(
page=page_context, image_filename=visible_image_out
)
if filtered_image is not None: # None if no hook is present
visible_image_out = filtered_image
pdf_page_from_image_out = create_pdf_page_from_image(
visible_image_out, page_context, orientation_correction
)
return ocr_image_out, pdf_page_from_image_out, orientation_correction
def postprocess(
pdf_file: Path, context: PdfContext, executor: Executor
) -> tuple[Path, Sequence[str]]:
"""Postprocess the PDF file."""
# 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.startswith('pdfa'):
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)
save_settings = get_pdf_save_settings(context.options.output_type)
save_settings['linearize'] = not optimizing and should_linearize(pdf_out, context)
pdf_out = metadata_fixup(pdf_out, context, pdf_save_settings=save_settings)
return optimize_pdf(pdf_out, context, executor)
def report_output_pdf(options, start_input_file, optimize_messages) -> ExitCode:
if options.output_file == '-':
log.info("Output sent to stdout")
elif hasattr(options.output_file, 'writable') and options.output_file.writable():
log.info("Output written to stream")
elif samefile(options.output_file, Path(os.devnull)):
pass # Say nothing when sending to dev null
else:
if 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 a valid PDF, but conversion to PDF/A did not "
"succeed (issue: %s)",
pdfa_info['conformance'],
)
return ExitCode.pdfa_conversion_failed
if not check_pdf(options.output_file):
log.warning('Output file: The generated PDF is INVALID')
return ExitCode.invalid_output_pdf
report_output_file_size(
options, start_input_file, options.output_file, optimize_messages
)
return ExitCode.ok
+125
View File
@@ -0,0 +1,125 @@
# SPDX-FileCopyrightText: 2019-2023 James R. Barlow
# SPDX-FileCopyrightText: 2019 Martin Wind
# SPDX-License-Identifier: MPL-2.0
"""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
from functools import partial
import PIL
from ocrmypdf._concurrent import Executor
from ocrmypdf._graft import OcrGrafter
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._pipeline import (
copy_final,
render_hocr_page,
)
from ocrmypdf._pipelines._common import (
HOCRResult,
do_get_pdfinfo,
manage_work_folder,
postprocess,
report_output_pdf,
set_thread_pageno,
setup_pipeline,
worker_init,
)
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf._progressbar import ProgressBar
from ocrmypdf.exceptions import ExitCode
log = logging.getLogger(__name__)
def _exec_hocrtransform_sync(page_context: PageContext) -> HOCRResult:
"""Process each page."""
hocr_json = page_context.get_path('hocr.json')
if not hocr_json.exists():
# 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
)
return hocr_result
def exec_hocr_to_ocr_pdf(context: PdfContext, executor: Executor) -> Sequence[str]:
"""Convert hOCR files to OCR PDF."""
# Run exec_page_sync on every page
options = context.options
max_workers = min(len(context.pdfinfo), options.jobs)
if max_workers > 1:
log.info("Continue processing %d pages concurrently", max_workers)
ocrgraft = OcrGrafter(context)
def graft_page(result: HOCRResult, pbar: ProgressBar):
"""Graft text only PDF on to main PDF's page."""
try:
set_thread_pageno(result.pageno + 1)
pbar.update()
ocrgraft.graft_page(
pageno=result.pageno,
image=result.pdf_page_from_image,
textpdf=result.textpdf,
autorotate_correction=result.orientation_correction,
)
pbar.update()
finally:
set_thread_pageno(None)
executor(
use_threads=options.use_threads,
max_workers=max_workers,
progress_kwargs=dict(
total=(2 * len(context.pdfinfo)),
desc='Grafting hOCR to PDF',
unit='page',
unit_scale=0.5,
disable=not options.progress_bar,
),
worker_initializer=partial(worker_init, PIL.Image.MAX_IMAGE_PIXELS),
task=_exec_hocrtransform_sync,
task_arguments=context.get_page_context_args(),
task_finished=graft_page,
)
pdf = ocrgraft.finalize()
messages: Sequence[str] = []
if options.output_type != 'none':
# PDF/A and metadata
log.info("Postprocessing...")
pdf, messages = postprocess(pdf, context, executor)
# Copy PDF file to destination (we don't know the input PDF file name)
copy_final(pdf, options.output_file, None)
return messages
def run_hocr_to_ocr_pdf_pipeline(
options: argparse.Namespace,
*,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
"""Run pipeline to convert hOCR to final output PDF."""
with manage_work_folder(
work_folder=options.work_folder, retain=True, print_location=False
) as work_folder:
executor = setup_pipeline(options, plugin_manager)
origin_pdf = work_folder / 'origin.pdf'
# Gather pdfinfo and create context
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)
optimize_messages = exec_hocr_to_ocr_pdf(context, executor)
return report_output_pdf(options, origin_pdf, optimize_messages)
+214
View File
@@ -0,0 +1,214 @@
# SPDX-FileCopyrightText: 2019-2023 James R. Barlow
# SPDX-FileCopyrightText: 2019 Martin Wind
# SPDX-License-Identifier: MPL-2.0
"""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
from functools import partial
from pathlib import Path
from tempfile import mkdtemp
import PIL
from ocrmypdf._concurrent import Executor
from ocrmypdf._graft import OcrGrafter
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._pipeline import (
copy_final,
is_ocr_required,
merge_sidecars,
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,
process_page,
report_output_pdf,
set_thread_pageno,
setup_pipeline,
worker_init,
)
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf._progressbar import ProgressBar
from ocrmypdf._validation import (
check_requested_output_file,
create_input_file,
)
from ocrmypdf.exceptions import ExitCode
log = logging.getLogger(__name__)
def _image_to_ocr_text(
page_context: PageContext, ocr_image_out: Path
) -> tuple[Path, Path]:
"""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':
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
def _exec_page_sync(page_context: PageContext) -> PageResult:
"""Execute a pipeline for a single page synchronously."""
set_thread_pageno(page_context.pageno + 1)
if not is_ocr_required(page_context):
return PageResult(pageno=page_context.pageno)
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)
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,
)
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)
if max_workers > 1:
log.info("Start processing %d pages concurrently", max_workers)
sidecars: list[Path | None] = [None] * len(context.pdfinfo)
ocrgraft = OcrGrafter(context)
def update_page(result: PageResult, pbar: ProgressBar):
"""After OCR is complete for a page, update the PDF."""
try:
set_thread_pageno(result.pageno + 1)
sidecars[result.pageno] = result.text
pbar.update(0.5)
ocrgraft.graft_page(
pageno=result.pageno,
image=result.pdf_page_from_image,
textpdf=result.ocr,
autorotate_correction=result.orientation_correction,
)
pbar.update(0.5)
finally:
set_thread_pageno(None)
executor(
use_threads=options.use_threads,
max_workers=max_workers,
progress_kwargs=dict(
total=len(context.pdfinfo),
desc='OCR' if options.tesseract_timeout > 0 else 'Image processing',
unit='page',
disable=not options.progress_bar,
),
worker_initializer=partial(worker_init, PIL.Image.MAX_IMAGE_PIXELS),
task=_exec_page_sync,
task_arguments=context.get_page_context_args(),
task_finished=update_page,
)
# Output sidecar text
if options.sidecar:
text = merge_sidecars(sidecars, context)
# Copy text file to destination
copy_final(text, options.sidecar, options.input_file)
# Merge layers to one single pdf
pdf = ocrgraft.finalize()
messages: Sequence[str] = []
if options.output_type != 'none':
# PDF/A and metadata
log.info("Postprocessing...")
pdf, messages = postprocess(pdf, context, executor)
# Copy PDF file to destination
copy_final(pdf, options.output_file, options.input_file)
return messages
def _run_pipeline(
options: argparse.Namespace,
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),
):
executor = setup_pipeline(options, plugin_manager)
check_requested_output_file(options)
start_input_file, original_filename = create_input_file(options, work_folder)
# Triage image or pdf
origin_pdf = triage(
original_filename, start_input_file, work_folder / 'origin.pdf', options
)
# Gather pdfinfo and create context
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
validate_pdfinfo_options(context)
# Execute the pipeline
optimize_messages = exec_concurrent(context, executor)
exitcode = report_output_pdf(options, start_input_file, optimize_messages)
return exitcode
def run_pipeline_cli(
options: argparse.Namespace,
*,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
"""Run the OCR pipeline with command line exception handling.
Args:
options: The parsed command line options.
plugin_manager: The plugin manager to use. If not provided, one will be
created.
"""
return cli_exception_handler(_run_pipeline, options, plugin_manager)
def run_pipeline(
options: argparse.Namespace,
*,
plugin_manager: OcrmypdfPluginManager,
) -> ExitCode:
"""Run the OCR pipeline without command line exception handling.
Args:
options: The parsed command line options.
plugin_manager: The plugin manager to use. If not provided, one will be
created.
"""
return _run_pipeline(options, plugin_manager)
+108
View File
@@ -0,0 +1,108 @@
# SPDX-FileCopyrightText: 2019-2023 James R. Barlow
# SPDX-FileCopyrightText: 2019 Martin Wind
# SPDX-License-Identifier: MPL-2.0
"""Implements the concurrent and page synchronous parts of the pipeline."""
from __future__ import annotations
import argparse
import logging
import logging.handlers
import shutil
from functools import partial
import PIL
from ocrmypdf._concurrent import Executor
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._pipeline import (
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,
setup_pipeline,
worker_init,
)
from ocrmypdf._plugin_manager import OcrmypdfPluginManager
from ocrmypdf._validation import (
set_lossless_reconstruction,
)
log = logging.getLogger(__name__)
def _exec_page_hocr_sync(page_context: PageContext) -> HOCRResult:
"""Execute a pipeline for a single page hOCR."""
set_thread_pageno(page_context.pageno + 1)
if not is_ocr_required(page_context):
return HOCRResult(pageno=page_context.pageno)
ocr_image_out, pdf_page_from_image_out, orientation_correction = process_page(
page_context
)
hocr_out, _ = ocr_engine_hocr(ocr_image_out, page_context)
result = HOCRResult(
pageno=page_context.pageno,
pdf_page_from_image=pdf_page_from_image_out,
hocr=hocr_out,
orientation_correction=orientation_correction,
)
page_context.get_path('hocr.json').write_text(result.to_json())
return result
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)
if max_workers > 1:
log.info("Start processing %d pages concurrently", max_workers)
executor(
use_threads=options.use_threads,
max_workers=max_workers,
progress_kwargs=dict(
total=(2 * len(context.pdfinfo)),
desc='hOCR',
unit='page',
unit_scale=0.5,
disable=not options.progress_bar,
),
worker_initializer=partial(worker_init, PIL.Image.MAX_IMAGE_PIXELS),
task=_exec_page_hocr_sync,
task_arguments=context.get_page_context_args(),
)
def run_hocr_pipeline(
options: argparse.Namespace,
*,
plugin_manager: OcrmypdfPluginManager,
) -> None:
"""Run pipeline to output hOCR."""
with manage_work_folder(
work_folder=options.output_folder, retain=True, print_location=False
) as work_folder:
executor = setup_pipeline(options, plugin_manager)
origin_pdf = work_folder / 'origin.pdf'
shutil.copy2(options.input_file, origin_pdf)
# Gather pdfinfo and create context
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)
+6 -15
View File
@@ -10,8 +10,8 @@ import importlib
import importlib.util
import pkgutil
import sys
from collections.abc import Sequence
from pathlib import Path
from typing import Sequence
import pluggy
@@ -33,7 +33,7 @@ class OcrmypdfPluginManager(pluggy.PluginManager):
def __init__(
self,
*args,
plugins: list[str | Path],
plugins: Sequence[str | Path],
builtins: bool = True,
**kwargs,
):
@@ -73,19 +73,10 @@ class OcrmypdfPluginManager(pluggy.PluginManager):
module = importlib.import_module(name)
self.register(module)
# 2. Install semfree if needed
try:
# pylint: disable=import-outside-toplevel
from multiprocessing.synchronize import SemLock
del SemLock
except ImportError:
self.register(importlib.import_module('ocrmypdf.extra_plugins.semfree'))
# 3. Register setuptools plugins
# 2. Register setuptools plugins
self.load_setuptools_entrypoints('ocrmypdf')
# 4. Register plugins specified on command line
# 3. Register plugins specified on command line
for name in self.__plugins:
if isinstance(name, Path) or name.endswith('.py'):
# Import by filename
@@ -101,11 +92,11 @@ class OcrmypdfPluginManager(pluggy.PluginManager):
def get_plugin_manager(
plugins: list[str | Path], builtins=True
plugins: Sequence[str | Path] | None = None, builtins=True
) -> OcrmypdfPluginManager:
return OcrmypdfPluginManager(
project_name='ocrmypdf',
plugins=plugins,
plugins=plugins if plugins is not None else [],
builtins=builtins,
)
+243
View File
@@ -0,0 +1,243 @@
# SPDX-FileCopyrightText: 2023 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Defines progress bar API."""
from __future__ import annotations
from typing import Protocol
from rich.console import Console
from rich.progress import (
BarColumn,
MofNCompleteColumn,
Progress,
TaskProgressColumn,
TextColumn,
TimeRemainingColumn,
)
from rich.table import Column
class ProgressBar(Protocol):
"""The protocol that OCRmyPDF expects progress bar classes to be compatible with.
In practice this could be used for any time of monitoring, not just a progress bar.
Calling the class should return a new progress bar object, which is activated
with ``__enter__`` and terminated with ``__exit__``. An update method is called
whenever the progress bar is updated. Progress bar objects will not be reused;
a new one will be created for each group of tasks.
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.
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'} (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, you could set self.current = completed
# 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}/{self.total} ({percent:.1f}%)")
else:
print(f"{self.desc}: {self.current} units done")
@hookimpl
def get_progressbar_class():
return MyProgressBar
"""
def __init__(
self,
*,
total: int | float | None,
desc: str | None,
unit: str | None,
disable: bool = False,
**kwargs,
):
"""Initialize a progress bar.
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.
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):
"""Enter a progress bar context."""
def __exit__(self, *args):
"""Exit a progress bar context."""
def update(self, n: float = 1, *, completed: float | None = None):
"""Increment the progress bar by ``n`` units, or set an absolute completion.
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).
"""
class NullProgressBar:
"""Progress bar API that takes no actions."""
def __init__(self, **kwargs):
pass
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
return False
def update(self, _arg=None, *, completed=None):
return
class RichProgressBar:
"""Display progress bar using rich."""
def __init__(
self,
*,
console: Console,
desc: str,
total: float | None = None,
unit: str | None = None,
unit_scale: float | None = 1.0,
disable: bool = False,
**kwargs,
):
self._entered = False
self.progress = Progress(
TextColumn(
"[progress.description]{task.description}",
table_column=Column(min_width=20),
),
BarColumn(),
TaskProgressColumn(),
MofNCompleteColumn(),
TimeRemainingColumn(),
console=console,
auto_refresh=True,
redirect_stderr=True,
redirect_stdout=False,
disable=disable,
**kwargs,
)
self.unit_scale = unit_scale
self.progress_bar = self.progress.add_task(
desc,
total=total * self.unit_scale
if total is not None and self.unit_scale is not None
else None,
unit=unit,
)
def __enter__(self):
self.progress.start()
self._entered = True
return self
def __exit__(self, exc_type, exc_value, traceback):
self.progress.refresh()
self.progress.stop()
return False
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)
-466
View File
@@ -1,466 +0,0 @@
# SPDX-FileCopyrightText: 2019-2022 James R. Barlow
# SPDX-FileCopyrightText: 2019 Martin Wind
# SPDX-License-Identifier: MPL-2.0
"""Implements the concurrent and page synchronous parts of the pipeline."""
from __future__ import annotations
import argparse
import logging
import logging.handlers
import os
import sys
import threading
from concurrent.futures.process import BrokenProcessPool
from concurrent.futures.thread import BrokenThreadPool
from functools import partial
from pathlib import Path
from tempfile import mkdtemp
from typing import NamedTuple, Sequence, cast
import PIL
from ocrmypdf._concurrent import Executor, setup_executor
from ocrmypdf._graft import OcrGrafter
from ocrmypdf._jobcontext import PageContext, PdfContext, cleanup_working_files
from ocrmypdf._logging import PageNumberFilter
from ocrmypdf._pipeline import (
convert_to_pdfa,
copy_final,
create_ocr_image,
create_pdf_page_from_image,
create_visible_page_jpg,
generate_postscript_stub,
get_orientation_correction,
get_pdfinfo,
is_ocr_required,
merge_sidecars,
metadata_fixup,
ocr_engine_hocr,
ocr_engine_textonly_pdf,
optimize_pdf,
preprocess_clean,
preprocess_deskew,
preprocess_remove_background,
rasterize,
rasterize_preview,
render_hocr_page,
should_visible_page_image_use_jpg,
triage,
validate_pdfinfo_options,
)
from ocrmypdf._plugin_manager import OcrmypdfPluginManager, get_plugin_manager
from ocrmypdf._validation import (
check_requested_output_file,
create_input_file,
report_output_file_size,
)
from ocrmypdf.exceptions import ExitCode, ExitCodeException
from ocrmypdf.helpers import (
NeverRaise,
available_cpu_count,
check_pdf,
pikepdf_enable_mmap,
samefile,
)
from ocrmypdf.pdfa import file_claims_pdfa
log = logging.getLogger(__name__)
class PageResult(NamedTuple):
"""Result when a page is finished processing."""
pageno: int
pdf_page_from_image: Path | None
ocr: Path | None
text: Path | None
orientation_correction: int
tls = threading.local()
tls.pageno = None
old_factory = logging.getLogRecordFactory()
def record_factory(*args, **kwargs):
record = old_factory(*args, **kwargs)
if hasattr(tls, 'pageno'):
record.pageno = tls.pageno
return record
logging.setLogRecordFactory(record_factory)
def preprocess(
page_context: PageContext,
image: Path,
remove_background: bool,
deskew: bool,
clean: bool,
) -> Path:
if remove_background:
image = preprocess_remove_background(image, page_context)
if deskew:
image = preprocess_deskew(image, page_context)
if clean:
image = preprocess_clean(image, page_context)
return image
def make_intermediate_images(
page_context: PageContext, orientation_correction: int
) -> tuple[Path, Path | None]:
options = page_context.options
ocr_image = preprocess_out = None
rasterize_out = rasterize(
page_context.origin,
page_context,
correction=orientation_correction,
remove_vectors=False,
)
if not any([options.clean, options.clean_final, options.remove_vectors]):
ocr_image = preprocess_out = preprocess(
page_context,
rasterize_out,
options.remove_background,
options.deskew,
clean=False,
)
else:
if not options.lossless_reconstruction:
preprocess_out = preprocess(
page_context,
rasterize_out,
options.remove_background,
options.deskew,
clean=options.clean_final,
)
if options.remove_vectors:
rasterize_ocr_out = rasterize(
page_context.origin,
page_context,
correction=orientation_correction,
remove_vectors=True,
output_tag='_ocr',
)
else:
rasterize_ocr_out = rasterize_out
if (
preprocess_out
and rasterize_ocr_out == rasterize_out
and options.clean == options.clean_final
):
# Optimization: image for OCR is identical to presentation image
ocr_image = preprocess_out
else:
ocr_image = preprocess(
page_context,
rasterize_ocr_out,
options.remove_background,
options.deskew,
clean=options.clean,
)
return ocr_image, preprocess_out
def exec_page_sync(page_context: PageContext) -> PageResult:
options = page_context.options
tls.pageno = page_context.pageno + 1
if not is_ocr_required(page_context):
return PageResult(
pageno=page_context.pageno,
pdf_page_from_image=None,
ocr=None,
text=None,
orientation_correction=0,
)
orientation_correction = 0
if options.rotate_pages:
# Rasterize
rasterize_preview_out = rasterize_preview(page_context.origin, page_context)
orientation_correction = get_orientation_correction(
rasterize_preview_out, page_context
)
ocr_image, preprocess_out = make_intermediate_images(
page_context, orientation_correction
)
ocr_image_out = create_ocr_image(ocr_image, page_context)
pdf_page_from_image_out = None
if not options.lossless_reconstruction:
assert preprocess_out
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(
page=page_context, image_filename=visible_image_out
)
if filtered_image is not None: # None if no hook is present
visible_image_out = filtered_image
pdf_page_from_image_out = create_pdf_page_from_image(
visible_image_out, page_context, orientation_correction
)
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':
(ocr_out, text_out) = ocr_engine_textonly_pdf(ocr_image_out, page_context)
else:
raise NotImplementedError(f"pdf_renderer {options.pdf_renderer}")
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,
)
def post_process(
pdf_file: Path, context: PdfContext, executor: Executor
) -> tuple[Path, Sequence[str]]:
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 = metadata_fixup(pdf_out, context)
return optimize_pdf(pdf_out, context, executor)
def worker_init(max_pixels: int) -> None:
# 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
# threaded, but harmless to set again.
PIL.Image.MAX_IMAGE_PIXELS = max_pixels
pikepdf_enable_mmap()
def exec_concurrent(context: PdfContext, executor: Executor) -> Sequence[str]:
"""Execute the pipeline concurrently."""
# Run exec_page_sync on every page context
options = context.options
max_workers = min(len(context.pdfinfo), options.jobs)
if max_workers > 1:
log.info("Start processing %d pages concurrently", max_workers)
sidecars: list[Path | None] = [None] * len(context.pdfinfo)
ocrgraft = OcrGrafter(context)
def update_page(result: PageResult, pbar):
try:
tls.pageno = result.pageno + 1
sidecars[result.pageno] = result.text
pbar.update()
ocrgraft.graft_page(
pageno=result.pageno,
image=result.pdf_page_from_image,
textpdf=result.ocr,
autorotate_correction=result.orientation_correction,
)
pbar.update()
finally:
tls.pageno = None
executor(
use_threads=options.use_threads,
max_workers=max_workers,
tqdm_kwargs=dict(
total=(2 * len(context.pdfinfo)),
desc='OCR' if options.tesseract_timeout > 0 else 'Image processing',
unit='page',
unit_scale=0.5,
disable=not options.progress_bar,
),
worker_initializer=partial(worker_init, PIL.Image.MAX_IMAGE_PIXELS),
task=exec_page_sync,
task_arguments=context.get_page_contexts(),
task_finished=update_page,
)
# Output sidecar text
if options.sidecar:
text = merge_sidecars(sidecars, context)
# Copy text file to destination
copy_final(text, options.sidecar, context)
# Merge layers to one single pdf
pdf = ocrgraft.finalize()
messages: Sequence[str] = []
if options.output_type != 'none':
# PDF/A and metadata
log.info("Postprocessing...")
pdf, messages = post_process(pdf, context, executor)
# Copy PDF file to destination
copy_final(pdf, options.output_file, context)
return messages
def configure_debug_logging(
log_filename: Path, prefix: str = ''
) -> logging.FileHandler:
"""Create a debug log file at a specified location.
Arguments:
log_filename: Where to the put the log file.
prefix: The logging domain prefix that should be sent to the log.
"""
log_file_handler = logging.FileHandler(log_filename, delay=True)
log_file_handler.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'[%(asctime)s] - %(name)s - %(levelname)7s -%(pageno)s %(message)s'
)
log_file_handler.setFormatter(formatter)
log_file_handler.addFilter(PageNumberFilter())
logging.getLogger(prefix).addHandler(log_file_handler)
return log_file_handler
def run_pipeline(
options: argparse.Namespace,
*,
plugin_manager: OcrmypdfPluginManager | None,
api: bool = False,
) -> ExitCode:
# 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()
if not plugin_manager:
plugin_manager = get_plugin_manager(options.plugins)
work_folder = Path(mkdtemp(prefix="ocrmypdf.io."))
debug_log_handler = None
if (
(options.keep_temporary_files or options.verbose >= 1)
and not os.environ.get('PYTEST_CURRENT_TEST', '')
and not api
):
# Debug log for command line interface only with verbose output
# See https://github.com/pytest-dev/pytest/issues/5502 for why we skip this
# when pytest is running
debug_log_handler = configure_debug_logging(
Path(work_folder) / "debug.log"
) # pragma: no cover
pikepdf_enable_mmap()
executor = setup_executor(plugin_manager)
try:
check_requested_output_file(options)
start_input_file, original_filename = create_input_file(options, work_folder)
# Triage image or pdf
origin_pdf = triage(
original_filename, start_input_file, work_folder / 'origin.pdf', options
)
# 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 if not options.use_threads else 1, # To help debug
check_pages=options.pages,
)
context = PdfContext(options, work_folder, origin_pdf, pdfinfo, plugin_manager)
# Validate options are okay for this pdf
validate_pdfinfo_options(context)
# Execute the pipeline
optimize_messages = exec_concurrent(context, executor)
if options.output_file == '-':
log.info("Output sent to stdout")
elif (
hasattr(options.output_file, 'writable') and options.output_file.writable()
):
log.info("Output written to stream")
elif samefile(options.output_file, Path(os.devnull)):
pass # Say nothing when sending to dev null
else:
if 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)",
pdfa_info['conformance'],
)
return ExitCode.pdfa_conversion_failed
if not check_pdf(options.output_file):
log.warning('Output file: The generated PDF is INVALID')
return ExitCode.invalid_output_pdf
report_output_file_size(
options, start_input_file, options.output_file, optimize_messages
)
except KeyboardInterrupt if not api else NeverRaise:
if options.verbose >= 1:
log.exception("KeyboardInterrupt")
else:
log.error("KeyboardInterrupt")
return ExitCode.ctrl_c
except ExitCodeException if not api else NeverRaise as e:
e = cast(ExitCodeException, e)
if options.verbose >= 1:
log.exception("ExitCodeException")
elif str(e):
log.error("%s: %s", type(e).__name__, str(e))
else:
log.error(type(e).__name__)
return e.exit_code
except PIL.Image.DecompressionBombError if not api else NeverRaise:
log.exception(
"A decompression bomb error was encountered while executing the "
"pipeline. Use the argument --max-image-mpixels to raise the maximum "
"image pixel limit."
)
return ExitCode.other_error
except (
BrokenProcessPool if not api else NeverRaise,
BrokenThreadPool if not api else NeverRaise,
):
log.exception(
"A worker process was terminated unexpectedly. This is known to occur if "
"processing your file takes all available swap space and RAM. It may "
"help to try again with a smaller number of jobs, using the --jobs "
"argument."
)
return ExitCode.child_process_error
except Exception if not api else NeverRaise: # pylint: disable=broad-except
log.exception("An exception occurred while executing the pipeline")
return ExitCode.other_error
finally:
if debug_log_handler:
try:
debug_log_handler.close()
log.removeHandler(debug_log_handler)
except OSError as e:
print(e, file=sys.stderr)
cleanup_working_files(work_folder, options)
return ExitCode.ok
+30 -23
View File
@@ -12,14 +12,15 @@ import os
import sys
import unicodedata
from argparse import Namespace
from collections.abc import Sequence
from pathlib import Path
from shutil import copyfileobj
from typing import Sequence
import pikepdf
import PIL
from pluggy import PluginManager
from ocrmypdf._defaults import DEFAULT_LANGUAGE, DEFAULT_ROTATE_PAGES_THRESHOLD
from ocrmypdf._exec import unpaper
from ocrmypdf.exceptions import (
BadArgsError,
@@ -27,24 +28,21 @@ from ocrmypdf.exceptions import (
MissingDependencyError,
OutputFileAccessError,
)
from ocrmypdf.helpers import is_file_writable, monotonic, safe_symlink
from ocrmypdf.hocrtransform import HOCR_OK_LANGS
from ocrmypdf.helpers import (
is_file_writable,
monotonic,
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.error(
log.warning(
"You are running OCRmyPDF in a 32-bit (x86) Python interpreter. "
"This is not supported. 32-bit does not have enough address space "
"to process large files. "
@@ -62,6 +60,7 @@ def check_options_languages(
log.debug("No language specified; assuming --language %s", DEFAULT_LANGUAGE)
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)
@@ -83,15 +82,6 @@ def check_options_languages(
def check_options_output(options: Namespace) -> None:
is_latin = set(options.languages).issubset(HOCR_OK_LANGS)
if options.pdf_renderer.startswith('hocr') and not is_latin:
log.warning(
"The 'hocr' PDF renderer is known to cause problems with one "
"or more of the languages in your document. Use "
"`--pdf-renderer auto` (the default) to avoid this issue."
)
if options.output_type == 'none' and options.output_file not in (os.devnull, '-'):
raise BadArgsError(
"Since you specified `--output-type none`, the output file "
@@ -99,6 +89,8 @@ def check_options_output(options: Namespace) -> None:
f"`-` to suppress this message."
)
def set_lossless_reconstruction(options: Namespace) -> None:
lossless_reconstruction = False
if not any(
(
@@ -138,6 +130,11 @@ def check_options_preprocessing(options: Namespace) -> None:
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',
@@ -228,6 +225,7 @@ def _check_plugin_invariant_options(options: Namespace) -> 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)
@@ -268,9 +266,9 @@ 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 Path('/.dockerenv').exists(): # pragma: no cover
if running_in_docker(): # pragma: no cover
msg += (
"\nDocker cannot your working directory unless you "
"\nDocker cannot access your working directory unless you "
"explicitly share it with the Docker container and set up"
"permissions correctly.\n"
"You may find it easier to use stdin/stdout:"
@@ -278,6 +276,15 @@ def create_input_file(options: Namespace, work_folder: Path) -> tuple[Path, str]
"\tdocker run -i --rm jbarlow83/ocrmypdf - - <input.pdf >output.pdf"
"\n"
)
elif running_in_snap(): # pragma: no cover
msg += (
"\nSnap applications cannot access files outside of "
"your home directory unless you explicitly allow it. "
"You may find it easier to use stdin/stdout:"
"\n"
"\tsnap run ocrmypdf - - <input.pdf >output.pdf"
"\n"
)
raise InputFileError(msg) from e
-16
View File
@@ -1,16 +0,0 @@
# SPDX-FileCopyrightText: 2022 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Get version by introspecting package information.
OCRmyPDF uses setuptools_scm to derive version from git tags.
"""
from __future__ import annotations
from importlib.metadata import version as _package_version
PROGRAM_NAME = 'ocrmypdf'
# Official PEP 396
__version__ = _package_version('ocrmypdf')
+236 -45
View File
@@ -10,24 +10,30 @@ import os
import sys
import threading
from argparse import Namespace
from collections.abc import Iterable, Sequence
from enum import IntEnum
from io import IOBase
from pathlib import Path
from typing import AnyStr, BinaryIO, Iterable, Union
from typing import BinaryIO
from warnings import warn
import pluggy
from ocrmypdf._logging import PageNumberFilter
from ocrmypdf._pipelines.hocr_to_ocr_pdf import run_hocr_to_ocr_pdf_pipeline
from ocrmypdf._pipelines.ocr import run_pipeline, run_pipeline_cli
from ocrmypdf._pipelines.pdf_to_hocr import run_hocr_pipeline
from ocrmypdf._plugin_manager import get_plugin_manager
from ocrmypdf._sync import run_pipeline
from ocrmypdf._validation import check_options
from ocrmypdf.cli import ArgumentParser, get_parser
from ocrmypdf.helpers import is_iterable_notstr
StrPath = Union[Path, AnyStr]
PathOrIO = Union[BinaryIO, StrPath]
StrPath = Path | str | bytes
PathOrIO = BinaryIO | StrPath
# Installing plugins affects the global state of the Python interpreter,
# so we need to use a lock to prevent multiple threads from installing
# plugins at the same time.
_api_lock = threading.Lock()
@@ -132,34 +138,19 @@ def configure_logging(
return log
def create_options(
*, input_file: PathOrIO, output_file: PathOrIO, parser: ArgumentParser, **kwargs
) -> Namespace:
"""Construct an options object from the input/output files and keyword arguments.
Args:
input_file: Input file path or file object.
output_file: Output file path or file object.
parser: ArgumentParser object.
**kwargs: Keyword arguments.
Returns:
argparse.Namespace: A Namespace object containing the parsed arguments.
Raises:
TypeError: If the type of a keyword argument is not supported.
"""
cmdline = []
deferred = []
def _kwargs_to_cmdline(
*, defer_kwargs: set[str], **kwargs
) -> tuple[list[str | bytes], dict[str, str | bytes]]:
"""Convert kwargs to command line arguments."""
cmdline: list[str | bytes] = []
deferred = {}
for arg, val in kwargs.items():
if val is None:
continue
# These arguments with special handling for which we bypass
# argparse
if arg in {'progress_bar', 'plugins'}:
deferred.append((arg, val))
# Skip arguments that are handled elsewhere
if arg in defer_kwargs:
deferred[arg] = val
continue
cmd_style_arg = arg.replace('_', '-')
@@ -178,7 +169,7 @@ def create_options(
# We have a parameter
cmdline.append(f"--{cmd_style_arg}")
if isinstance(val, (int, float)):
if isinstance(val, int | float):
cmdline.append(str(val))
elif isinstance(val, str):
cmdline.append(val)
@@ -186,37 +177,65 @@ def create_options(
cmdline.append(str(val))
else:
raise TypeError(f"{arg}: {val} ({type(val)})")
return cmdline, deferred
if isinstance(input_file, (BinaryIO, IOBase)):
def create_options(
*, input_file: PathOrIO, output_file: PathOrIO, parser: ArgumentParser, **kwargs
) -> Namespace:
"""Construct an options object from the input/output files and keyword arguments.
Args:
input_file: Input file path or file object.
output_file: Output file path or file object.
parser: ArgumentParser object.
**kwargs: Keyword arguments.
Returns:
argparse.Namespace: A Namespace object containing the parsed arguments.
Raises:
TypeError: If the type of a keyword argument is not supported.
"""
cmdline, deferred = _kwargs_to_cmdline(
defer_kwargs={'progress_bar', 'plugins', 'parser', 'input_file', 'output_file'},
**kwargs,
)
if isinstance(input_file, BinaryIO | IOBase):
cmdline.append('stream://input_file')
else:
cmdline.append(os.fspath(input_file))
if isinstance(output_file, (BinaryIO, IOBase)):
if isinstance(output_file, BinaryIO | IOBase):
cmdline.append('stream://output_file')
else:
cmdline.append(os.fspath(output_file))
if 'sidecar' in kwargs and isinstance(kwargs['sidecar'], BinaryIO | IOBase):
cmdline.append('--sidecar')
cmdline.append('stream://sidecar')
parser.enable_api_mode()
options = parser.parse_args(cmdline)
for keyword, val in deferred:
for keyword, val in deferred.items():
setattr(options, keyword, val)
if options.input_file == 'stream://input_file':
options.input_file = input_file
if options.output_file == 'stream://output_file':
options.output_file = output_file
if options.sidecar == 'stream://sidecar':
options.sidecar = kwargs['sidecar']
return options
def ocr( # noqa: ruff: disable=D417
def ocr( # noqa: D417
input_file: PathOrIO,
output_file: PathOrIO,
*,
language: Iterable[str] | None = None,
image_dpi: int | None = None,
output_type: str | None = None,
sidecar: StrPath | None = None,
sidecar: PathOrIO | None = None,
jobs: int | None = None,
use_threads: bool | None = None,
title: str | None = None,
@@ -240,6 +259,7 @@ def ocr( # noqa: ruff: disable=D417
png_quality: int | None = None,
jbig2_lossy: bool | None = None,
jbig2_page_group_size: int | None = None,
jbig2_threshold: float | None = None,
pages: str | None = None,
max_image_mpixels: float | None = None,
tesseract_config: Iterable[str] | None = None,
@@ -249,13 +269,17 @@ def ocr( # noqa: ruff: disable=D417
pdf_renderer: str | None = None,
tesseract_timeout: float | None = None,
tesseract_non_ocr_timeout: float | None = None,
tesseract_downsample_above: int | None = None,
tesseract_downsample_large_images: bool | None = None,
rotate_pages_threshold: float | None = None,
pdfa_image_compression: str | None = None,
color_conversion_strategy: str | None = None,
user_words: os.PathLike | None = None,
user_patterns: os.PathLike | None = None,
fast_web_view: float | None = None,
continue_on_soft_render_error: bool | None = None,
plugins: Iterable[StrPath] | None = None,
invalidate_digital_signatures: bool | None = None,
plugins: Iterable[Path | str] | None = None,
plugin_manager=None,
keep_temporary_files: bool | None = None,
progress_bar: bool | None = None,
@@ -324,23 +348,21 @@ def ocr( # noqa: ruff: disable=D417
if not plugins:
plugins = []
elif isinstance(plugins, (str, Path)):
elif isinstance(plugins, str | Path):
plugins = [plugins]
else:
plugins = list(plugins)
# No new variable names should be assigned until these two steps are run
create_options_kwargs = {k: v for k, v in locals().items() if k != 'kwargs'}
create_options_kwargs = {
k: v
for k, v in locals().items()
if k not in {'input_file', 'output_file', 'kwargs', 'plugin_manager'}
}
create_options_kwargs.update(kwargs)
parser = get_parser()
create_options_kwargs['parser'] = parser
with _api_lock:
# We can't allow multiple ocrmypdf.ocr() threads to run in parallel, because
# they might install different plugins, and generally speaking we have areas
# of code that use global state.
if not plugin_manager:
plugin_manager = get_plugin_manager(plugins)
plugin_manager.hook.add_options(parser=parser) # pylint: disable=no-member
@@ -348,9 +370,177 @@ def ocr( # noqa: ruff: disable=D417
if 'verbose' in kwargs:
warn("ocrmypdf.ocr(verbose=) is ignored. Use ocrmypdf.configure_logging().")
options = create_options(**create_options_kwargs)
options = create_options(
input_file=input_file,
output_file=output_file,
parser=parser,
**create_options_kwargs,
)
check_options(options, plugin_manager)
return run_pipeline(options=options, plugin_manager=plugin_manager, api=True)
return run_pipeline(options=options, plugin_manager=plugin_manager)
def _pdf_to_hocr( # noqa: D417
input_pdf: Path,
output_folder: Path,
*,
language: Iterable[str] | None = None,
image_dpi: int | None = None,
jobs: int | None = None,
use_threads: bool | None = None,
title: str | None = None,
author: str | None = None,
subject: str | None = None,
keywords: str | None = None,
rotate_pages: bool | None = None,
remove_background: bool | None = None,
deskew: bool | None = None,
clean: bool | None = None,
clean_final: bool | None = None,
unpaper_args: str | None = None,
oversample: int | None = None,
remove_vectors: bool | None = None,
force_ocr: bool | None = None,
skip_text: bool | None = None,
redo_ocr: bool | None = None,
skip_big: float | None = None,
pages: str | None = None,
max_image_mpixels: float | None = None,
tesseract_config: Iterable[str] | None = None,
tesseract_pagesegmode: int | None = None,
tesseract_oem: int | None = None,
tesseract_thresholding: int | None = None,
tesseract_timeout: float | None = None,
tesseract_non_ocr_timeout: float | None = None,
tesseract_downsample_above: int | None = None,
tesseract_downsample_large_images: bool | None = None,
rotate_pages_threshold: float | None = None,
user_words: os.PathLike | None = None,
user_patterns: os.PathLike | None = None,
continue_on_soft_render_error: bool | None = None,
invalidate_digital_signatures: bool | None = None,
plugin_manager=None,
plugins: Sequence[Path | str] | None = None,
keep_temporary_files: bool | None = None,
**kwargs,
):
"""Partially run OCRmyPDF and produces an output folder containing hOCR files.
Given a PDF file, this function will run OCRmyPDF up to the point where
the PDF is rasterized to images, OCRed, and the hOCR files are produced,
all of which are saved to the output folder. This is useful for applications
that want to provide an interface for users to edit the text before
rendering the final PDF.
Use :func:`hocr_to_ocr_pdf` to produce the final PDF.
For arguments not explicitly documented here, see documentation for the
equivalent command line parameter.
This API is **experimental** and subject to change.
Args:
input_pdf: Input PDF file path.
output_folder: Output folder path.
**kwargs: Keyword arguments.
"""
# No new variable names should be assigned until these two steps are run
create_options_kwargs = {
k: v
for k, v in locals().items()
if k not in {'input_pdf', 'output_folder', 'kwargs'}
}
create_options_kwargs.update(kwargs)
parser = get_parser()
with _api_lock:
if not plugin_manager:
plugin_manager = get_plugin_manager(plugins)
plugin_manager.hook.add_options(parser=parser) # pylint: disable=no-member
cmdline, deferred = _kwargs_to_cmdline(
defer_kwargs={'input_pdf', 'output_folder', 'plugins'},
**create_options_kwargs,
)
cmdline.append(str(input_pdf))
cmdline.append(str(output_folder))
parser.enable_api_mode()
options = parser.parse_args(cmdline)
for keyword, val in deferred.items():
setattr(options, keyword, val)
delattr(options, 'output_file')
setattr(options, 'output_folder', output_folder)
return run_hocr_pipeline(options=options, plugin_manager=plugin_manager)
def _hocr_to_ocr_pdf( # noqa: D417
work_folder: Path,
output_file: Path,
*,
jobs: int | None = None,
use_threads: bool | None = None,
optimize: int | None = None,
jpg_quality: int | None = None,
png_quality: int | None = None,
jbig2_lossy: bool | None = None,
jbig2_page_group_size: int | None = None,
jbig2_threshold: float | None = None,
pdfa_image_compression: str | None = None,
color_conversion_strategy: str | None = None,
fast_web_view: float | None = None,
plugin_manager=None,
plugins: Sequence[Path | str] | None = None,
**kwargs,
):
"""Run OCRmyPDF on a work folder and produce an output PDF.
After running :func:`pdf_to_hocr`, this function will run OCRmyPDF on the work
folder to produce an output PDF. This function consolidates any changes made
to the hOCR files in the work folder and produces a final PDF.
For arguments not explicitly documented here, see documentation for the
equivalent command line parameter.
This API is **experimental** and subject to change.
Args:
work_folder: Work folder path, as generated by :func:`pdf_to_hocr`.
output_file: Output PDF file path.
**kwargs: Keyword arguments.
"""
# No new variable names should be assigned until these two steps are run
create_options_kwargs = {
k: v
for k, v in locals().items()
if k not in {'work_folder', 'output_pdf', 'kwargs'}
}
create_options_kwargs.update(kwargs)
parser = get_parser()
with _api_lock:
if not plugin_manager:
plugin_manager = get_plugin_manager(plugins)
plugin_manager.hook.add_options(parser=parser) # pylint: disable=no-member
cmdline, deferred = _kwargs_to_cmdline(
defer_kwargs={'work_folder', 'output_file', 'plugins'},
**create_options_kwargs,
)
cmdline.append(str(work_folder))
cmdline.append(str(output_file))
parser.enable_api_mode()
options = parser.parse_args(cmdline)
for keyword, val in deferred.items():
setattr(options, keyword, val)
delattr(options, 'input_file')
setattr(options, 'work_folder', work_folder)
return run_hocr_to_ocr_pdf_pipeline(
options=options, plugin_manager=plugin_manager
)
__all__ = [
@@ -363,4 +553,5 @@ __all__ = [
'get_plugin_manager',
'ocr',
'run_pipeline',
'run_pipeline_cli',
]
+52 -22
View File
@@ -12,19 +12,23 @@ import queue
import signal
import sys
import threading
from collections.abc import Callable, Iterable
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor, as_completed
from contextlib import suppress
from typing import Callable, Iterable, Type, Union
from typing import Union
from rich.console import Console as RichConsole
from ocrmypdf import Executor, hookimpl
from ocrmypdf._logging import RichLoggingHandler, RichTqdmProgressAdapter
from ocrmypdf._logging import RichLoggingHandler
from ocrmypdf._progressbar import RichProgressBar
from ocrmypdf.exceptions import InputFileError
from ocrmypdf.helpers import remove_all_log_handlers
FuturesExecutorClass = Union[Type[ThreadPoolExecutor], Type[ProcessPoolExecutor]]
Queue = Union[multiprocessing.Queue, queue.Queue]
FuturesExecutorClass = Union[ # noqa: UP007
type[ThreadPoolExecutor], type[ProcessPoolExecutor]
]
Queue = Union[multiprocessing.Queue, queue.Queue] # noqa: UP007
UserInit = Callable[[], None]
WorkerInit = Callable[[Queue, UserInit, int], None]
@@ -92,6 +96,31 @@ def thread_init(q: Queue, user_init: UserInit, loglevel) -> None:
return
def setup_executor(use_threads: bool) -> tuple[Queue, Executor, WorkerInit]:
if not use_threads:
# Some execution environments like AWS Lambda and Termux do not support
# semaphores. Check if semaphore support is available, and if not, fall back
# to using threads.
try:
# pylint: disable=import-outside-toplevel
from multiprocessing.synchronize import SemLock
del SemLock
except ImportError:
use_threads = True
if use_threads:
loq_queue = queue.Queue(-1)
executor_class = ThreadPoolExecutor
initializer = thread_init
else:
loq_queue = multiprocessing.Queue(-1)
executor_class = ProcessPoolExecutor
initializer = process_init
return loq_queue, executor_class, initializer
class StandardExecutor(Executor):
"""Standard OCRmyPDF concurrent task executor."""
@@ -100,33 +129,34 @@ class StandardExecutor(Executor):
*,
use_threads: bool,
max_workers: int,
tqdm_kwargs: dict,
progress_kwargs: dict,
worker_initializer: Callable,
task: Callable,
task_arguments: Iterable,
task_finished: Callable,
):
if use_threads:
log_queue: Queue = queue.Queue(-1)
executor_class: FuturesExecutorClass = ThreadPoolExecutor
initializer: WorkerInit = thread_init
else:
log_queue = multiprocessing.Queue(-1)
executor_class = ProcessPoolExecutor
initializer = process_init
log_queue, executor_class, initializer = setup_executor(use_threads)
# Regardless of whether we use_threads for worker processes, the log_listener
# must be a thread. Make sure we create the listener after the worker pool,
# so that it does not get forked into the workers.
# If use_threads is False, we are currently guilty of creating a thread before
# forking on Linux, which is not recommended. However, we take a big
# performance hit in pdfinfo if we can't fork. Long term solution is to
# replace most of this with an asyncio implementation, and probably to
# migrate some of pdfinfo into C++ or Rust.
listener = threading.Thread(target=log_listener, args=(log_queue,))
listener.start()
with self.pbar_class(**tqdm_kwargs) as pbar, executor_class(
max_workers=max_workers,
initializer=initializer,
initargs=(log_queue, worker_initializer, logging.getLogger("").level),
) as executor:
futures = [executor.submit(task, args) for args in task_arguments]
with (
self.pbar_class(**progress_kwargs) as pbar,
executor_class(
max_workers=max_workers,
initializer=initializer,
initargs=(log_queue, worker_initializer, logging.getLogger("").level),
) as executor,
):
futures = [executor.submit(task, *args) for args in task_arguments]
try:
for future in as_completed(futures):
result = future.result()
@@ -166,10 +196,10 @@ RICH_CONSOLE = RichConsole(stderr=True)
def get_progressbar_class():
"""Return the default progress bar class."""
def partial_RichTqdmProgressAdapter(*args, **kwargs):
return RichTqdmProgressAdapter(*args, **kwargs, console=RICH_CONSOLE)
def partial_RichProgressBar(*args, **kwargs):
return RichProgressBar(*args, **kwargs, console=RICH_CONSOLE)
return partial_RichTqdmProgressAdapter
return partial_RichProgressBar
@hookimpl
@@ -8,7 +8,5 @@ from ocrmypdf import hookimpl
@hookimpl
def filter_pdf_page(
page, image_filename, output_pdf
): # pylint: disable=unused-argument
def filter_pdf_page(page, image_filename, output_pdf): # pylint: disable=unused-argument
return output_pdf
+17 -5
View File
@@ -6,6 +6,8 @@ from __future__ import annotations
import logging
from packaging.version import Version
from ocrmypdf import hookimpl
from ocrmypdf._exec import ghostscript
from ocrmypdf.exceptions import MissingDependencyError
@@ -15,7 +17,7 @@ log = logging.getLogger(__name__)
# Currently all blacklisted versions are lower than 9.55, so none need to
# be added here. If a future version is blacklisted, add it here.
BLACKLISTED_GS_VERSIONS: frozenset[str] = frozenset()
BLACKLISTED_GS_VERSIONS: frozenset[Version] = frozenset()
@hookimpl
@@ -52,14 +54,24 @@ def check_options(options):
program='gs',
package='ghostscript',
version_checker=ghostscript.version,
need_version='9.55', # Ubuntu 22.04's version
need_version='9.54', # RHEL 9's version; Ubuntu 22.04 has 9.55
)
gs_version = ghostscript.version()
if gs_version in BLACKLISTED_GS_VERSIONS:
raise MissingDependencyError(
f"Ghostscript {gs_version} contains serious regressions and is not "
"supported. Please upgrade to a newer version, or downgrade to the "
"previous version."
"supported. Please upgrade to a newer version."
)
if Version('10.0.0') <= gs_version < Version('10.02.1') and (
options.skip_text or options.redo_ocr
):
raise MissingDependencyError(
f"Ghostscript 10.0.0 through 10.02.0 (your version: {gs_version}) "
"contain serious regressions that corrupt PDFs with existing text, "
"such as those processed using --skip-text or --redo-ocr. "
"Please upgrade to a "
"newer version, or use --output-type pdf to avoid Ghostscript, or "
"use --force-ocr to discard existing text."
)
if options.output_type == 'pdfa':
@@ -117,7 +129,7 @@ def generate_pdfa(
):
"""Generate a PDF/A from the list of PDF pages and PDF/A metadata."""
ghostscript.generate_pdfa(
pdf_pages=[*pdf_pages, pdfmark],
pdf_pages=[pdfmark, *pdf_pages],
output_file=output_file,
compression=context.options.pdfa_image_compression,
color_conversion_strategy=context.options.color_conversion_strategy,

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