Release date: August 8, 2021
On PyPI since August 2016:
Jorj X. McKie, based on original code by Ruikai Liu.
PyMuPDF (current version 1.18.16) is a Python binding with support for MuPDF (current version 1.18.*), a lightweight PDF, XPS, and E-book viewer, renderer, and toolkit, which is maintained and developed by Artifex Software, Inc.
MuPDF can access files in PDF, XPS, OpenXPS, CBZ, EPUB and FB2 (e-books) formats, and it is known for its top performance and high rendering quality.
With PyMuPDF you can access files with extensions like ".pdf", ".xps", ".oxps", ".cbz", ".fb2" or ".epub". In addition, about 10 popular image formats can also be handled like documents: ".png", ".jpg", ".bmp", ".tiff", etc..
In partnership with Artifex, PyMuPDF is now also available for commercial licensing. This agreement has no impact on use cases, that are compliant with the open-source license AGPL. Please see the "License and Copyright" section below for additional information.
For all supported document types (i.e. including images) you can
- decrypt the document
- access meta information, links and bookmarks
- render pages in raster formats (PNG and some others), or the vector format SVG
- search for text
- extract text and images
- convert to other formats: PDF, (X)HTML, XML, JSON, text
To some degree, PyMuPDF can therefore be used as an image converter: it can read a range of input formats and can produce Portable Network Graphics (PNG), Portable Anymaps (PNM, etc.), Portable Arbitrary Maps (PAM), Adobe Postscript and Adobe Photoshop documents, making the use of other graphics packages obselete in these cases. But interfacing with e.g. PIL/Pillow for image input and output is easy as well.
For PDF documents, there exists a plethora of additional features: they can be created, joined or split up. Pages can be inserted, deleted, re-arranged or modified in many ways (including annotations and form fields).
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Images and fonts can be extracted or inserted.
You may want to have a look at this cool GUI example script, which lets you insert, delete, replace or re-position images under your visual control.
Since v1.18.8 there is a
Documentmethodsubset_fonts(), which automatically builds subsets based on the usage of all eligible fonts in the document. Especially for new documents, this can lead to significant file size reductions. The method was developed in cooperation with our user @cuteufo - again thanks a lot for the contribution. -
Embedded files are fully supported.
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PDFs can be reformatted to support double-sided printing, posterizing, applying logos or watermarks
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Password protection is fully supported: decryption, encryption, encryption method selection, permmission level and user / owner password setting.
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Support of the PDF Optional Content concept for images, text and drawings.
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Low-level PDF structures can be accessed and modified.
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Command line module
"python -m fitz ...". A versatile utility with the following features- encryption / decryption / optimization
- creation of sub-documents
- document joining
- image / font extraction
- full support of embedded files
- layout-preserving text extraction (all documents)
Have a look at the basic demos, the examples (which contain complete, working programs), and the recipes section of our Wiki sidebar, which contains more than a dozen of guides in How-To-style.
New: Layout preserving text extraction!
Via its subcommand "gettext", script fitzcli.py offers text extraction in different formats. Of special interest surely is layout preservation, which produces text as close to the original physical layout as possible, surrounding areas where there are images, or reproducing text in tables and multi-column text.
See here for more information on layout preserving text extraction.
Our documentation, written using Sphinx, is available in various formats from the following sources. It currently is a combination of a reference guide and a user manual. For a quick start look at the tutorial and the recipes chapters.
- You can view it online at Read the Docs. This site also provides download options for PDF.
- The search function on Read the Docs does not work for me currently. If you want a working searchable local version, please download a zipped HTML for here.
- Find a Windows help file here.
For Windows, Linux and Mac OSX platforms, there are wheels in the download section of PyPI. This includes Python 64bit versions 3.6 through 3.9. For Windows only, 32bit versions are available too. Since recently, there also exist wheels for the Linux ARM architecture - look for platform tag manylinux2014_aarch64.
If your platform is not supported with one of our wheels, you need to generate PyMuPDF yourself as follows. This requires the development version of Python.
Before you can do that, you must first build MuPDF. For most platforms, the MuPDF sources contain prepared procedures for achieving this. Please observe the following general steps:
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Be sure to download the official MuPDF source release from here. Do not use MuPDF's GitHub repo. It contains their development source for future versions.
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This repo's fitz folder contains one or more files whose names start with a single underscore
"_". These files contain configuration data and potentially other fixes. Copy-rename each of them to their correct target location within the downloaded MuPDF source. Currently, these files are:-
Optional: fitz configuration file
_config.hcopy-replace to:mupdf/include/mupdf/fitz/config.h. It contains configuration data like e.g. which fonts to support. If omitting this change, the binary extension module will be over 30 MB (compared to around 11 MB). Does not impact functionality. -
Now MuPDF can be generated.
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Please note that you will need the interface generator SWIG when building PyMuPDF from the sources of this repository (please refer to issue #312 for some background on this).
- PyMuPDF wheels are being generated using SWIG v4.0.2.
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If you do not use SWIG, please download the sources from PyPI - they contain sources pre-processed by SWIG, so installation should work like any other Python extension generation on your system.
Once this is done, adjust directories in setup.py and run python setup.py install.
The following sections contain further comments for some platforms.
Our users (thanks to @gileadslostson and @jbarlow83!) have documented their MuPDF installation experiences from sources in this Wiki page.
First, install the MuPDF headers and libraries, which are provided by mupdf-tools: brew install mupdf-tools.
Then you might need to export ARCHFLAGS='-arch x86_64', since libmupdf.a is for x86_64 only.
Finally, please double check setup.py before building. Update include_dirs and library_dirs if necessary.
If you are looking to make your own binary, consult this Wiki page. It explains how to use Visual Studio for generating MuPDF in quite some detail.
Earlier versions are available in the releases directory.
In order to comply with MuPDF’s dual licensing model, PyMuPDF has entered into an agreement with Artifex who has the right to sublicense PyMuPDF to third parties.
PyMuPDF and MuPDF are now available under both, open-source AGPL and commercial license agreements.
Please read the full text of the AGPL license agreement (which is also included here in file COPYING) to ensure that your use case complies with the guidelines of this license. If you determine you cannot meet the requirements of the AGPL, please contact Artifex for more information regarding a commercial license.
Artifex is the exclusive commercial licensing agent for MuPDF.
Artifex, the Artifex logo, MuPDF, and the MuPDF logo are registered trademarks of Artifex Software Inc. © 2021 Artifex Software, Inc. All rights reserved.
Please use the Discussions menu for questions, comments, or asking others for help, and submit issues here. If you wish, you can also contact me directly via jorj.x.mckie@outlook.de.