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Name: ocrmypdf
Version: 6.1.2
Summary: OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Home-page: https://github.com/jbarlow83/OCRmyPDF
Author: James R. Barlow
Author-email: jim@purplerock.ca
License: UNKNOWN
Description: OCRmyPDF
========
.. image:: https://travis-ci.org/jbarlow83/OCRmyPDF.svg?branch=master
:target: https://travis-ci.org/jbarlow83/OCRmyPDF
.. image:: https://img.shields.io/pypi/v/ocrmypdf.svg
:target: https://pypi.org/project/ocrmypdf/
.. image:: https://img.shields.io/homebrew/v/ocrmypdf.svg
:alt: homebrew
:target: http://brewformulas.org/Ocrmypdf
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to
be searched or copy-pasted.
.. code-block:: bash
ocrmypdf # it's a scriptable command line program
-l eng+fra # it supports multiple languages
--rotate-pages # it can fix pages that are misrotated
--deskew # it can deskew crooked PDFs!
--title "My PDF" # it can change output metadata
--jobs 4 # it uses multiple cores by default
--output-type pdfa # it produces PDF/A by default
input_scanned.pdf # takes PDF input (or images)
output_searchable.pdf # produces validated PDF output
Main features
-------------
- Generates a searchable
`PDF/A <https://en.wikipedia.org/?title=PDF/A>`_ file from a regular PDF
- Places OCR text accurately below the image to ease copy / paste
- Keeps the exact resolution of the original embedded images
- When possible, inserts OCR information as a "lossless" operation without rendering vector information
- Keeps file size about the same
- If requested deskews and/or cleans the image before performing OCR
- Validates input and output files
- Provides debug mode to enable easy verification of the OCR results
- Processes pages in parallel when more than one CPU core is
available
- Uses `Tesseract OCR <https://github.com/tesseract-ocr/tesseract>`_ engine
- Supports more than `100 languages <https://github.com/tesseract-ocr/tessdata>`_ recognized by Tesseract
- Battle-tested on thousands of PDFs, a test suite and continuous integration
For details: please consult the `documentation <https://ocrmypdf.readthedocs.io/en/latest/>`_.
Motivation
----------
I searched the web for a free command line tool to OCR PDF files on
Linux/UNIX: I found many, but none of them were really satisfying.
- Either they produced PDF files with misplaced text under the image (making copy/paste impossible)
- Or they did not handle accents and multilingual characters
- Or they changed the resolution of the embedded images
- Or they generated ridiculously large PDF files
- Or they crashed when trying to OCR some of my PDF files
- Or they did not produce valid PDF files (even though they were readable with my current PDF reader)
- On top of that none of them produced PDF/A files (format dedicated for long time storage)
...so I decided to develop my own tool (using various existing scripts
as an inspiration).
Installation
------------
Linux, UNIX, and macOS are supported. Windows is not directly supported but there is a Docker image available that runs on Windows.
Users of Debian 9 or later or Ubuntu 16.10 or later may simply
.. code-block:: bash
apt-get install ocrmypdf
and macOS users with Homebrew may simply
.. code-block:: bash
brew install ocrmypdf
For everyone else, `see our documentation <https://ocrmypdf.readthedocs.io/en/latest/installation.html>`_ for installation steps.
Languages
---------
OCRmyPDF uses Tesseract for OCR, and relies on its language packs. For Linux users,
you can often find packages that provide language packs:
.. code-block:: bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Debian/Ubuntu users
apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified language back
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.
Documentation and support
-------------------------
Once ocrmypdf is installed, the built-in help which explains the command syntax and options can be accessed via:
.. code-block:: bash
ocrmypdf --help
Our `documentation is served on Read the Docs <https://ocrmypdf.readthedocs.io/en/latest/index.html>`_.
If you detect an issue, please:
- Check whether your issue is already known
- If no problem report exists on github, please create one here:
https://github.com/jbarlow83/OCRmyPDF/issues
- Describe your problem thoroughly
- Append the console output of the script when running the debug mode
(``-v 1`` option)
- If possible provide your input PDF file as well as the content of the
temporary folder (using a file sharing service like Dropbox)
Requirements
------------
Runs on CPython 3.6, and requires external program installations of Ghostscript, Tesseract OCR, QPDF, and Leptonica. ocrmypdf is pure Python, but uses CFFI to portably generate library bindings.
Python 3.5 is also supported.
Press & Media
-------------
- `c't 1-2014, page 59 <http://heise.de/-2279695>`_:
Detailed presentation of OCRmyPDF v1.0 in the leading German IT
magazine c't
- `heise Open Source, 09/2014: Texterkennung mit
OCRmyPDF <http://heise.de/-2356670>`_
License
-------
The OCRmyPDF software is licensed under the GNU GPLv3. Certain files are covered by other licenses, as noted in their source files.
The license for each test file varies, and is noted in tests/resources/README.rst. The documentation is licensed under Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA 4.0).
OCRmyPDF versions prior to 6.0 were licensed under the MIT License.
Disclaimer
----------
The software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
CONDITIONS OF ANY KIND, either express or implied.
Keywords: PDF,OCR,optical character recognition,PDF/A,scanning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: BSD
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >= 3.5
Provides-Extra: fitz
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