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OCRmyPDF/src/ocrmypdf/api.py
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James R. Barlowandaider a869a4ac42 fix: filter out None values from OCROptions kwargs
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
2025-12-21 12:21:47 -08:00

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Python

# SPDX-FileCopyrightText: 2022 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Python API for OCRmyPDF.
This module provides the main Python API for OCRmyPDF, allowing you to perform
OCR operations programmatically without using the command line interface.
Main Functions:
ocr(): The primary function for OCR processing. Takes an input PDF or image
file and produces an OCR'd PDF with searchable text.
configure_logging(): Set up logging to match the command line interface
behavior, with support for progress bars and colored output.
Experimental Functions:
_pdf_to_hocr(): Extract text from PDF pages and save as hOCR files for
manual editing before final PDF generation.
_hocr_to_ocr_pdf(): Convert hOCR files back to a searchable PDF after
manual text corrections.
The API maintains thread safety through internal locking since OCRmyPDF uses
global state for plugins. Only one OCR operation can run per Python process
at a time. For parallel processing, use multiple Python processes.
Example:
import ocrmypdf
# Configure logging (optional)
ocrmypdf.configure_logging(ocrmypdf.Verbosity.default)
# Perform OCR
ocrmypdf.ocr('input.pdf', 'output.pdf', language='eng')
For detailed parameter documentation, see the ocr() function docstring and
the equivalent command line parameters in the OCRmyPDF documentation.
"""
from __future__ import annotations
import logging
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 BinaryIO
from warnings import warn
import pluggy
from ocrmypdf._logging import PageNumberFilter
from ocrmypdf._options import OCROptions
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._validation import check_options
from ocrmypdf.cli import ArgumentParser, get_parser
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()
class Verbosity(IntEnum):
"""Verbosity level for configure_logging."""
# pylint: disable=invalid-name
quiet = -1 #: Suppress most messages
default = 0 #: Default level of logging
debug = 1 #: Output ocrmypdf debug messages
debug_all = 2 #: More detailed debugging from ocrmypdf and dependent modules
def configure_logging(
verbosity: Verbosity,
*,
progress_bar_friendly: bool = True,
manage_root_logger: bool = False,
plugin_manager: pluggy.PluginManager | None = None,
):
"""Set up logging.
Before calling :func:`ocrmypdf.ocr()`, you can use this function to
configure logging if you want ocrmypdf's output to look like the ocrmypdf
command line interface. It will register log handlers, log filters, and
formatters, configure color logging to standard error, and adjust the log
levels of third party libraries. Details of this are fine-tuned and subject
to change. The ``verbosity`` argument is equivalent to the argument
``--verbose`` and applies those settings. If you have a wrapper
script for ocrmypdf and you want it to be very similar to ocrmypdf, use this
function; if you are using ocrmypdf as part of an application that manages
its own logging, you probably do not want this function.
If this function is not called, ocrmypdf will not configure logging, and it
is up to the caller of ``ocrmypdf.ocr()`` to set up logging as it wishes using
the Python standard library's logging module. If this function is called,
the caller may of course make further adjustments to logging.
Regardless of whether this function is called, ocrmypdf will perform all of
its logging under the ``"ocrmypdf"`` logging namespace. In addition,
ocrmypdf imports pdfminer, which logs under ``"pdfminer"``. A library user
may wish to configure both; note that pdfminer is extremely chatty at the
log level ``logging.INFO``.
This function does not set up the ``debug.log`` log file that the command
line interface does at certain verbosity levels. Applications should configure
their own debug logging.
Args:
verbosity: Verbosity level.
progress_bar_friendly: If True (the default), install a custom log handler
that is compatible with progress bars and colored output.
manage_root_logger: Configure the process's root logger.
plugin_manager: The plugin manager, used for obtaining the custom log handler.
Returns:
The toplevel logger for ocrmypdf (or the root logger, if we are managing it).
"""
prefix = '' if manage_root_logger else 'ocrmypdf'
log = logging.getLogger(prefix)
log.setLevel(logging.DEBUG)
console = None
if plugin_manager and progress_bar_friendly:
console = plugin_manager.hook.get_logging_console()
if not console:
console = logging.StreamHandler(stream=sys.stderr)
if verbosity < 0:
console.setLevel(logging.ERROR)
elif verbosity >= 1:
console.setLevel(logging.DEBUG)
else:
console.setLevel(logging.INFO)
console.addFilter(PageNumberFilter())
if verbosity >= 2:
fmt = '%(levelname)7s %(name)s -%(pageno)s %(message)s'
else:
fmt = '%(pageno)s%(message)s'
formatter = None
if not formatter:
formatter = logging.Formatter(fmt=fmt)
console.setFormatter(formatter)
log.addHandler(console)
if verbosity <= 1:
pdfminer_log = logging.getLogger('pdfminer')
pdfminer_log.setLevel(logging.ERROR)
pil_log = logging.getLogger('PIL')
pil_log.setLevel(logging.INFO)
if manage_root_logger:
logging.captureWarnings(True)
return log
def create_options(
*, input_file: PathOrIO, output_file: PathOrIO, parser: ArgumentParser, **kwargs
) -> OCROptions:
"""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 (kept for compatibility, may be used for plugin validation).
**kwargs: Keyword arguments.
Returns:
OCROptions: An options object containing the parsed arguments.
Raises:
TypeError: If the type of a keyword argument is not supported.
"""
# Prepare kwargs for direct OCROptions construction
options_kwargs = kwargs.copy()
# Set input and output files
options_kwargs['input_file'] = input_file
options_kwargs['output_file'] = output_file
# Handle special stream cases for sidecar
if 'sidecar' in options_kwargs and isinstance(options_kwargs['sidecar'], BinaryIO | IOBase):
# Keep the stream object as-is - OCROptions can handle it
pass
# Remove None values to let OCROptions use its defaults
options_kwargs = {k: v for k, v in options_kwargs.items() if v is not None}
# Remove any kwargs that aren't OCROptions fields and store in extra_attrs
extra_attrs = {}
ocr_fields = set(OCROptions.model_fields.keys())
# Known extra attributes that should be preserved
known_extra = {'progress_bar', 'plugins'}
for key in list(options_kwargs.keys()):
if key not in ocr_fields and key not in known_extra:
extra_attrs[key] = options_kwargs.pop(key)
# Create OCROptions directly
try:
options = OCROptions(**options_kwargs)
# Add any extra attributes
if extra_attrs:
options.extra_attrs.update(extra_attrs)
return options
except Exception as e:
# If direct construction fails, provide a helpful error message
raise TypeError(f"Failed to create OCROptions: {e}") from e
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: PathOrIO | 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,
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,
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,
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,
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,
**kwargs,
):
"""Run OCRmyPDF on one PDF or image.
For most arguments, see documentation for the equivalent command line parameter.
This API takes a threading lock, because OCRmyPDF uses global state in particular
for the plugin system. The jobs parameter will be used to create a pool of
worker threads or processes at different times, subject to change. A Python
process can only run one OCRmyPDF task at a time.
To run parallelize instances OCRmyPDF, use separate Python processes to scale
horizontally. Generally speaking you should set jobs=sqrt(cpu_count) and run
sqrt(cpu_count) processes as a starting point. If you have files with a high page
count, run fewer processes and more jobs per process. If you have a lot of short
files, run more processes and fewer jobs per process.
A few specific arguments are discussed here:
Args:
use_threads: Use worker threads instead of processes. This reduces
performance but may make debugging easier since it is easier to set
breakpoints.
input_file: If a :class:`pathlib.Path`, ``str`` or ``bytes``, this is
interpreted as file system path to the input file. If the object
appears to be a readable stream (with methods such as ``.read()``
and ``.seek()``), the object will be read in its entirety and saved to
a temporary file. If ``input_file`` is ``"-"``, standard input will be
read.
output_file: If a :class:`pathlib.Path`, ``str`` or ``bytes``, this is
interpreted as file system path to the output file. If the object
appears to be a writable stream (with methods such as ``.write()`` and
``.seek()``), the output will be written to this stream. If
``output_file`` is ``"-"``, the output will be written to ``sys.stdout``
(provided that standard output does not seem to be a terminal device).
When a stream is used as output, whether via a writable object or
``"-"``, some final validation steps are not performed (we do not read
back the stream after it is written).
Raises:
ocrmypdf.MissingDependencyError: If a required dependency program is missing or
was not found on PATH.
ocrmypdf.UnsupportedImageFormatError: If the input file type was an image that
could not be read, or some other file type that is not a PDF.
ocrmypdf.DpiError: If the input file is an image, but the resolution of the
image is not credible (allowing it to proceed would cause poor OCR).
ocrmypdf.OutputFileAccessError: If an attempt to write to the intended output
file failed.
ocrmypdf.PriorOcrFoundError: If the input PDF seems to have OCR or digital
text already, and settings did not tell us to proceed.
ocrmypdf.InputFileError: Any other problem with the input file.
ocrmypdf.SubprocessOutputError: Any error related to executing a subprocess.
ocrmypdf.EncryptedPdfError: If the input PDF is encrypted (password protected).
OCRmyPDF does not remove passwords.
ocrmypdf.TesseractConfigError: If Tesseract reported its configuration was not
valid.
Returns:
:class:`ocrmypdf.ExitCode`
"""
if plugins and plugin_manager:
raise ValueError("plugins= and plugin_manager are mutually exclusive")
if not plugins:
plugins = []
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 not in {'input_file', 'output_file', 'kwargs', 'plugin_manager'}
}
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
if 'verbose' in kwargs:
warn("ocrmypdf.ocr(verbose=) is ignored. Use ocrmypdf.configure_logging().")
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)
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.
"""
# Prepare kwargs for direct OCROptions construction
options_kwargs = kwargs.copy()
# Set input file and handle special output_folder case
options_kwargs['input_file'] = input_pdf
options_kwargs['output_file'] = '/dev/null' # Placeholder for hOCR pipeline
# Add all the function parameters
for param_name, param_value in locals().items():
if param_name not in {'input_pdf', 'output_folder', 'kwargs', 'plugin_manager', 'plugins'} and param_value is not None:
options_kwargs[param_name] = param_value
# Handle plugins separately
if plugins:
options_kwargs['plugins'] = plugins
# Remove any kwargs that aren't OCROptions fields and store in extra_attrs
extra_attrs = {'output_folder': output_folder}
ocr_fields = set(OCROptions.model_fields.keys())
known_extra = {'progress_bar', 'plugins'}
for key in list(options_kwargs.keys()):
if key not in ocr_fields and key not in known_extra:
extra_attrs[key] = options_kwargs.pop(key)
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
# Create OCROptions directly
try:
options = OCROptions(**options_kwargs)
# Add any extra attributes
if extra_attrs:
options.extra_attrs.update(extra_attrs)
except Exception as e:
raise TypeError(f"Failed to create OCROptions for hOCR pipeline: {e}") from e
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.
"""
# Prepare kwargs for direct OCROptions construction
options_kwargs = kwargs.copy()
# Set output file and handle special work_folder case
options_kwargs['input_file'] = '/dev/null' # Placeholder for hOCR to PDF pipeline
options_kwargs['output_file'] = output_file
# Add all the function parameters
for param_name, param_value in locals().items():
if param_name not in {'work_folder', 'output_file', 'kwargs', 'plugin_manager', 'plugins'} and param_value is not None:
options_kwargs[param_name] = param_value
# Handle plugins separately
if plugins:
options_kwargs['plugins'] = plugins
# Remove any kwargs that aren't OCROptions fields and store in extra_attrs
extra_attrs = {'work_folder': work_folder}
ocr_fields = set(OCROptions.model_fields.keys())
known_extra = {'progress_bar', 'plugins'}
for key in list(options_kwargs.keys()):
if key not in ocr_fields and key not in known_extra:
extra_attrs[key] = options_kwargs.pop(key)
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
# Create OCROptions directly
try:
options = OCROptions(**options_kwargs)
# Add any extra attributes
if extra_attrs:
options.extra_attrs.update(extra_attrs)
except Exception as e:
raise TypeError(f"Failed to create OCROptions for hOCR to PDF pipeline: {e}") from e
return run_hocr_to_ocr_pdf_pipeline(
options=options, plugin_manager=plugin_manager
)
__all__ = [
'PageNumberFilter',
'Verbosity',
'check_options',
'configure_logging',
'create_options',
'get_parser',
'get_plugin_manager',
'ocr',
'run_pipeline',
'run_pipeline_cli',
]