OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted.
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
- Generates a searchable 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 disrupting any other content
- Optimizes PDF images, often producing files smaller than the input file
- If requested deskews and/or cleans the image before performing OCR
- Validates input and output files
- Distributes work across all available CPU cores
- Uses Tesseract OCR engine
- Supports more than 100 languages recognized by Tesseract
- Battle-tested on thousands of PDFs, a test suite and continuous integration
For details: please consult the documentation.
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
- Or they did not produce valid PDF files
- 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.
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
apt-get install ocrmypdf
and macOS users with Homebrew may simply
brew install ocrmypdf
For everyone else, see our documentation for installation steps.
OCRmyPDF uses Tesseract for OCR, and relies on its language packs. For Linux users, you can often find packages that provide language packs:
# 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:
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)
Runs on CPython 3.5, 3.6 and 3.7. Requires external program installations of Ghostscript, Tesseract OCR, QPDF, and Leptonica. ocrmypdf is pure Python, but uses CFFI to portably generate library bindings.
Press & Media
- c’t 1-2014, page 59: Detailed presentation of OCRmyPDF v1.0 in the leading German IT magazine c’t
- heise Open Source, 09/2014: Texterkennung mit OCRmyPDF
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.
The software is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
Release history Release notifications
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|ocrmypdf-7.0.0-py35-none-any.whl (99.1 kB) Copy SHA256 hash SHA256||Wheel||py35||Jul 10, 2018|
|ocrmypdf-7.0.0.tar.gz (7.2 MB) Copy SHA256 hash SHA256||Source||None||Jul 10, 2018|