Refactor cli into basic high level api
This commit is contained in:
@@ -0,0 +1,458 @@
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# © 2015-19 James R. Barlow: github.com/jbarlow83
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#
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# This file is part of OCRmyPDF.
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#
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# OCRmyPDF is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# OCRmyPDF is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
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import argparse
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from . import PROGRAM_NAME, VERSION
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# -------------
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# Parser
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def numeric(basetype, min_=None, max_=None):
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"""Validator for numeric params"""
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min_ = basetype(min_) if min_ is not None else None
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max_ = basetype(max_) if max_ is not None else None
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def _numeric(string):
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value = basetype(string)
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if (min_ is not None and value < min_) or (max_ is not None and value > max_):
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msg = "%r not in valid range %r" % (string, (min_, max_))
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raise argparse.ArgumentTypeError(msg)
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return value
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_numeric.__name__ = basetype.__name__
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return _numeric
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parser = argparse.ArgumentParser(
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prog=PROGRAM_NAME,
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fromfile_prefix_chars='@',
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formatter_class=argparse.RawDescriptionHelpFormatter,
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description="""\
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Generates a searchable PDF or PDF/A from a regular PDF.
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OCRmyPDF rasterizes each page of the input PDF, optionally corrects page
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rotation and performs image processing, runs the Tesseract OCR engine on the
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image, and then creates a PDF from the OCR information.
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""",
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epilog="""\
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OCRmyPDF attempts to keep the output file at about the same size. If a file
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contains losslessly compressed images, and output file will be losslessly
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compressed as well.
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PDF is a page description file that attempts to preserve a layout exactly.
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A PDF can contain vector objects (such as text or lines) and raster objects
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(images). A page might have multiple images. OCRmyPDF is prepared to deal
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with the wide variety of PDFs that exist in the wild.
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When a PDF page contains text, OCRmyPDF assumes that the page has already
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been OCRed or is a "born digital" page that should not be OCRed. The default
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behavior is to exit in this case without producing a file. You can use the
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option --skip-text to ignore pages with text, or --force-ocr to rasterize
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all objects on the page and produce an image-only PDF as output.
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ocrmypdf --skip-text file_with_some_text_pages.pdf output.pdf
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ocrmypdf --force-ocr word_document.pdf output.pdf
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If you are concerned about long-term archiving of PDFs, use the default option
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--output-type pdfa which converts the PDF to a standardized PDF/A-2b. This
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converts images to sRGB colorspace, removes some features from the PDF such
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as Javascript or forms. If you want to minimize the number of changes made to
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your PDF, use --output-type pdf.
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If OCRmyPDF is given an image file as input, it will attempt to convert the
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image to a PDF before processing. For more control over the conversion of
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images to PDF, use the Python package img2pdf or other image to PDF software.
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For example, this command uses img2pdf to convert all .png files beginning
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with the 'page' prefix to a PDF, fitting each image on A4-sized paper, and
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sending the result to OCRmyPDF through a pipe. img2pdf is a dependency of
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ocrmypdf so it is already installed.
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img2pdf --pagesize A4 page*.png | ocrmypdf - myfile.pdf
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Online documentation is located at:
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https://ocrmypdf.readthedocs.io/en/latest/introduction.html
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""",
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)
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parser.add_argument(
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'input_file',
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metavar="input_pdf_or_image",
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help="PDF file containing the images to be OCRed (or '-' to read from "
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"standard input)",
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)
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parser.add_argument(
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'output_file',
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metavar="output_pdf",
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help="Output searchable PDF file (or '-' to write to standard output). "
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"Existing files will be ovewritten. If same as input file, the "
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"input file will be updated only if processing is successful.",
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)
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parser.add_argument(
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'-l',
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'--language',
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action='append',
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help="Language(s) of the file to be OCRed (see tesseract --list-langs for "
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"all language packs installed in your system). Use -l eng+deu for "
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"multiple languages.",
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)
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parser.add_argument(
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'--image-dpi',
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metavar='DPI',
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type=int,
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help="For input image instead of PDF, use this DPI instead of file's.",
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)
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parser.add_argument(
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'--output-type',
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choices=['pdfa', 'pdf', 'pdfa-1', 'pdfa-2', 'pdfa-3'],
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default='pdfa',
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help="Choose output type. 'pdfa' creates a PDF/A-2b compliant file for "
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"long term archiving (default, recommended) but may not suitable "
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"for users who want their file altered as little as possible. 'pdfa' "
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"also has problems with full Unicode text. 'pdf' attempts to "
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"preserve file contents as much as possible. 'pdf-a1' creates a "
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"PDF/A1-b file. 'pdf-a2' is equivalent to 'pdfa'. 'pdf-a3' creates a "
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"PDF/A3-b file.",
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)
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# Use null string '\0' as sentinel to indicate the user supplied no argument,
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# since that is the only invalid character for filepaths on all platforms
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# bool('\0') is True in Python
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parser.add_argument(
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'--sidecar',
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nargs='?',
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const='\0',
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default=None,
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metavar='FILE',
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help="Generate sidecar text files that contain the same text recognized "
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"by Tesseract. This may be useful for building a OCR text database. "
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"If FILE is omitted, the sidecar file be named {output_file}.txt "
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"If FILE is set to '-', the sidecar is written to stdout (a "
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"convenient way to preview OCR quality). The output file and sidecar "
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"may not both use stdout at the same time.",
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)
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parser.add_argument(
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'--version',
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action='version',
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version=VERSION,
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help="Print program version and exit",
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)
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jobcontrol = parser.add_argument_group("Job control options")
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jobcontrol.add_argument(
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'-j',
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'--jobs',
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metavar='N',
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type=numeric(int, 0, 256),
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help="Use up to N CPU cores simultaneously (default: use all).",
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)
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jobcontrol.add_argument(
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'-q', '--quiet', action='store_true', help="Suppress INFO messages"
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)
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jobcontrol.add_argument(
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'-v',
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'--verbose',
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type=int,
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default=0,
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nargs='?',
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help="Print more verbose messages for each additional verbose level. Use "
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"`-v 1` typically for much more detailed logging. Higher numbers "
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"are probably only useful in debugging.",
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)
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metadata = parser.add_argument_group(
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"Metadata options",
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"Set output PDF/A metadata (default: copy input document's metadata)",
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)
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metadata.add_argument(
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'--title', type=str, help="Set document title (place multiple words in quotes)"
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)
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metadata.add_argument('--author', type=str, help="Set document author")
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metadata.add_argument('--subject', type=str, help="Set document subject description")
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metadata.add_argument('--keywords', type=str, help="Set document keywords")
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preprocessing = parser.add_argument_group(
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"Image preprocessing options",
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"Options to improve the quality of the final PDF and OCR",
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)
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preprocessing.add_argument(
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'-r',
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'--rotate-pages',
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action='store_true',
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help="Automatically rotate pages based on detected text orientation",
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)
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preprocessing.add_argument(
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'--remove-background',
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action='store_true',
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help="Attempt to remove background from gray or color pages, setting it "
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"to white ",
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)
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preprocessing.add_argument(
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'-d', '--deskew', action='store_true', help="Deskew each page before performing OCR"
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)
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preprocessing.add_argument(
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'-c',
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'--clean',
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action='store_true',
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help="Clean pages from scanning artifacts before performing OCR, and send "
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"the cleaned page to OCR, but do not include the cleaned page in "
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"the output",
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)
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preprocessing.add_argument(
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'-i',
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'--clean-final',
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action='store_true',
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help="Clean page as above, and incorporate the cleaned image in the final "
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"PDF. Might remove desired content.",
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)
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preprocessing.add_argument(
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'--unpaper-args',
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type=str,
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default=None,
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help="A quoted string of arguments to pass to unpaper. Requires --clean. "
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"Example: --unpaper-args '--layout double'.",
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)
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preprocessing.add_argument(
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'--oversample',
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metavar='DPI',
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type=numeric(int, 0, 5000),
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default=0,
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help="Oversample images to at least the specified DPI, to improve OCR "
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"results slightly",
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)
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preprocessing.add_argument(
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'--remove-vectors',
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action='store_true',
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help="EXPERIMENTAL. Mask out any vector objects in the PDF so that they "
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"will not be included in OCR. This can eliminate false characters.",
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)
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preprocessing.add_argument(
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'--mask-barcodes',
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action='store_true',
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help="EXPERIMENTAL. Mask out any barcodes that appear in the PDF so they are not "
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"considered during OCR. Barcodes can introduce false characters into "
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"OCR.",
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)
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preprocessing.add_argument(
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'--threshold',
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action='store_true',
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help="EXPERIMENTAL. Threshold image to 1bpp before sending it to Tesseract for OCR. Can "
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"improve OCR quality compared to Tesseract's thresholder.",
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)
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ocrsettings = parser.add_argument_group("OCR options", "Control how OCR is applied")
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ocrsettings.add_argument(
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'-f',
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'--force-ocr',
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action='store_true',
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help="Rasterize any text or vector objects on each page, apply OCR, and "
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"save the rastered output (this rewrites the PDF)",
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)
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ocrsettings.add_argument(
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'-s',
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'--skip-text',
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action='store_true',
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help="Skip OCR on any pages that already contain text, but include the "
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"page in final output; useful for PDFs that contain a mix of "
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"images, text pages, and/or previously OCRed pages",
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)
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ocrsettings.add_argument(
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'--redo-ocr',
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action='store_true',
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help="Attempt to detect and remove the hidden OCR layer from files that "
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"were previously OCRed with OCRmyPDF or another program. Apply OCR "
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"to text found in raster images. Existing visible text objects will "
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"not be changed. If there is no existing OCR, OCR will be added.",
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)
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ocrsettings.add_argument(
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'--skip-big',
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type=numeric(float, 0, 5000),
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metavar='MPixels',
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help="Skip OCR on pages larger than the specified amount of megapixels, "
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"but include skipped pages in final output",
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)
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optimizing = parser.add_argument_group(
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"Optimization options", "Control how the PDF is optimized after OCR"
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)
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optimizing.add_argument(
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'-O',
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'--optimize',
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type=int,
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choices=range(0, 4),
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default=1,
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help=(
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"Control how PDF is optimized after processing:"
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"0 - do not optimize; "
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"1 - do safe, lossless optimizations (default); "
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"2 - do some lossy optimizations; "
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"3 - do aggressive lossy optimizations (including lossy JBIG2)"
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),
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)
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optimizing.add_argument(
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'--jpeg-quality',
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type=numeric(int, 0, 100),
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default=0,
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metavar='Q',
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help=(
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"Adjust JPEG quality level for JPEG optimization. "
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"100 is best quality and largest output size; "
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"1 is lowest quality and smallest output; "
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"0 uses the default."
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),
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)
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optimizing.add_argument(
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'--jpg-quality',
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type=numeric(int, 0, 100),
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default=0,
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metavar='Q',
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dest='jpeg_quality',
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help=argparse.SUPPRESS, # Alias for --jpeg-quality
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)
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optimizing.add_argument(
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'--png-quality',
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type=numeric(int, 0, 100),
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default=0,
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metavar='Q',
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help=(
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"Adjust PNG quality level to use when quantizing PNGs. "
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"Values have same meaning as with --jpeg-quality"
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),
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)
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optimizing.add_argument(
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'--jbig2-lossy',
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action='store_true',
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help=(
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"Enable JBIG2 lossy mode (better compression, not suitable for some "
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"use cases - see documentation)."
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),
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)
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optimizing.add_argument(
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'--jbig2-page-group-size',
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type=numeric(int, 1, 10000),
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default=0,
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metavar='N',
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# Adjust number of pages to consider at once for JBIG2 compression
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help=argparse.SUPPRESS,
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)
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advanced = parser.add_argument_group(
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"Advanced", "Advanced options to control Tesseract's OCR behavior"
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)
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advanced.add_argument(
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'--max-image-mpixels',
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action='store',
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type=numeric(float, 0),
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metavar='MPixels',
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help="Set maximum number of pixels to unpack before treating an image as a "
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"decompression bomb",
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default=128.0,
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)
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advanced.add_argument(
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'--tesseract-config',
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action='append',
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metavar='CFG',
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default=[],
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help="Additional Tesseract configuration files -- see documentation",
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)
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advanced.add_argument(
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'--tesseract-pagesegmode',
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action='store',
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type=int,
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metavar='PSM',
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choices=range(0, 14),
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help="Set Tesseract page segmentation mode (see tesseract --help)",
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)
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advanced.add_argument(
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'--tesseract-oem',
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action='store',
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type=int,
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metavar='MODE',
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choices=range(0, 4),
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help=(
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"Set Tesseract 4.0 OCR engine mode: "
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"0 - original Tesseract only; "
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"1 - neural nets LSTM only; "
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"2 - Tesseract + LSTM; "
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"3 - default."
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),
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)
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advanced.add_argument(
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'--pdf-renderer',
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choices=['auto', 'hocr', 'sandwich'],
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default='auto',
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help="Choose OCR PDF renderer - the default option is to let OCRmyPDF "
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"choose. See documentation for discussion.",
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)
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advanced.add_argument(
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'--tesseract-timeout',
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default=180.0,
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type=numeric(float, 0),
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metavar='SECONDS',
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help='Give up on OCR after the timeout, but copy the preprocessed page '
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'into the final output',
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)
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advanced.add_argument(
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'--rotate-pages-threshold',
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default=14.0,
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type=numeric(float, 0, 1000),
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metavar='CONFIDENCE',
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help="Only rotate pages when confidence is above this value (arbitrary "
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"units reported by tesseract)",
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)
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advanced.add_argument(
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'--pdfa-image-compression',
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choices=['auto', 'jpeg', 'lossless'],
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default='auto',
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help="Specify how to compress images in the output PDF/A. 'auto' lets "
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"OCRmyPDF decide. 'jpeg' changes all grayscale and color images to "
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"JPEG compression. 'lossless' uses PNG-style lossless compression "
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"for all images. Monochrome images are always compressed using a "
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"lossless codec. Compression settings "
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"are applied to all pages, including those for which OCR was "
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"skipped. Not supported for --output-type=pdf ; that setting "
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"preserves the original compression of all images.",
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)
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advanced.add_argument(
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'--user-words',
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metavar='FILE',
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help="Specify the location of the Tesseract user words file. This is a "
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"list of words Tesseract should consider while performing OCR in "
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"addition to its standard language dictionaries. This can improve "
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"OCR quality especially for specialized and technical documents.",
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)
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advanced.add_argument(
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'--user-patterns',
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metavar='FILE',
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help="Specify the location of the Tesseract user patterns file.",
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)
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debugging = parser.add_argument_group(
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"Debugging", "Arguments to help with troubleshooting and debugging"
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)
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debugging.add_argument(
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'-k',
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'--keep-temporary-files',
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action='store_true',
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help="Keep temporary files (helpful for debugging)",
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)
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Reference in New Issue
Block a user