The easiest way to install OCRmyPDF is to follow the steps for your operating system/platform. This version may be out of date, however.
These platforms have one-liner installs:
| Debian, Ubuntu | apt install ocrmypdf |
| Windows Subsystem for Linux | apt install ocrmypdf |
| Fedora | dnf install ocrmypdf tesseract-osd |
| macOS (Homebrew) | brew install ocrmypdf |
| macOS (MacPorts) | port install ocrmypdf |
| LinuxBrew | brew install ocrmypdf |
| FreeBSD | pkg install textproc/py-ocrmypdf |
| Conda (WSL, macOS, Linux) | conda install ocrmypdf |
| Snap (snapcraft packaging) | snap install ocrmypdf |
More detailed procedures are outlined below. If you want to do a manual install, or install a more recent version than your platform provides, read on.
Platform-specific steps
| OCRmyPDF versions in Debian & Ubuntu |
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Users of Debian or Ubuntu may simply
apt install ocrmypdfAs indicated in the table above, Debian and Ubuntu releases may lag behind the latest version. If the version available for your platform is out of date, you could opt to install the latest version from source. See Installing HEAD revision from sources.
For full details on version availability for your platform, check the Debian Package Tracker or Ubuntu launchpad.net.
Note
OCRmyPDF for Debian and Ubuntu currently omit the JBIG2 encoder.
OCRmyPDF works fine without it but will produce larger output files.
If you build jbig2enc from source, ocrmypdf will
automatically detect it (specifically the jbig2 binary) on the
PATH. To add JBIG2 encoding, see :ref:`jbig2`.
| OCRmyPDF version |
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Users of Fedora may simply
dnf install ocrmypdf tesseract-osdFor full details on version availability, check the Fedora Package Tracker.
If the version available for your platform is out of date, you could opt to install the latest version from source. See Installing HEAD revision from sources.
Note
OCRmyPDF for Fedora currently omits the JBIG2 encoder due to patent
issues. OCRmyPDF works fine without it but will produce larger output
files. If you build jbig2enc from source, ocrmypdf 7.0.0 and later
will automatically detect it on the PATH. To add JBIG2 encoding,
see :ref:`Installing the JBIG2 encoder <jbig2>`.
Prepare the environment by getting Python 3.11:
dnf install python3.11 python3.11-pipThen, follow Requirements for pip and HEAD install to instal dependencies:
dnf install ghostscript tesseractand build ocrmypdf in virtual environment:
python3.11 -m venv .venvTo add JBIG2 encoding, see :ref:`Installing the JBIG2 encoder <jbig2>`.
Note Fedora packages for language data haven't been branched for RHEL/EPEL, but you can get traineddata files directly from tesseract and place them in /usr/share/tesseract/tessdata.
Ubuntu 22.04 includes ocrmypdf 13.4.0 - you can install that with
apt install ocrmypdf. To install a more recent version for the current
user, follow these steps:
sudo apt-get update
sudo apt-get -y install ocrmypdf python3-pip
pip install --user --upgrade ocrmypdfIf you get the message WARNING: The script ocrmypdf is installed in
'/home/$USER/.local/bin' which is not on PATH., you may need to re-login
or open a new shell, or manually adjust your PATH.
To add JBIG2 encoding, see :ref:`jbig2`.
Ubuntu 20.04 includes ocrmypdf 9.6.0 - you can install that with apt. The
most convenient way to install recent OCRmyPDF on older Ubuntu is to use
Homebrew on Linux (Linuxbrew).
brew install ocrmypdf
There is an Arch User Repository (AUR) package for OCRmyPDF.
Installing AUR packages as root is not allowed, so you must first setup a
non-root user and
configure sudo.
The standard Docker image, archlinux/base:latest, does not have a
non-root user configured, so users of that image must follow these guides. If
you are using a VM image, such as the official Vagrant image, this work may already
be completed for you.
Next you should install the base-devel package group. This includes the standard tooling needed to build packages, such as a compiler and binary tools.
sudo pacman -S --needed base-develNow you are ready to install the OCRmyPDF package.
curl -O https://aur.archlinux.org/cgit/aur.git/snapshot/ocrmypdf.tar.gz
tar xvzf ocrmypdf.tar.gz
cd ocrmypdf
makepkg -sriAt this point you will have a working install of OCRmyPDF, but the Tesseract install won’t include any OCR language data. You can install the tesseract-data package group to add all supported languages, or use that package listing to identify the appropriate package for your desired language.
sudo pacman -S tesseract-data-engAs an alternative to this manual procedure, consider using an AUR helper. Such a tool will automatically fetch, build and install the AUR package, resolve dependencies (including dependencies on AUR packages), and ease the upgrade procedure.
If you have any difficulties with installation, check the repository package page.
Note
The OCRmyPDF AUR package currently omits the JBIG2 encoder. OCRmyPDF works fine without it but will produce larger output files. The encoder is available from the jbig2enc-git AUR package and may be installed using the same series of steps as for the installation OCRmyPDF AUR package. Alternatively, it may be built manually from source following the instructions in :ref:`Installing the JBIG2 encoder <jbig2>`. If JBIG2 is installed, OCRmyPDF 7.0.0 and later will automatically detect it.
To install OCRmyPDF for Alpine Linux:
apk add ocrmypdf
To install OCRmyPDF on Gentoo Linux, use the following commands:
eselect repository enable guru
emaint sync --repo guru
emerge --ask app-text/OCRmyPDFSee the Repology page.
In general, first install the OCRmyPDF package for your system, then optionally use the procedure Installing with Python pip to install a more recent version.
OCRmyPDF is now a standard Homebrew formula. To install on macOS:
brew install ocrmypdfThis will include only the English language pack. If you need other languages you can optionally install them all:
brew install tesseract-lang # Optional: Install all language packs
OCRmyPDF is includes in MacPorts:
sudo port install ocrmypdfNote that while this will install tesseract you will need to install the appropriate tesseract language ports.
These instructions probably work on all macOS supported by Homebrew, and are for installing a more current version of OCRmyPDF than is available from Homebrew. Note that the Homebrew versions usually track the release versions fairly closely.
If it's not already present, install Homebrew.
Update Homebrew:
brew updateInstall or upgrade the required Homebrew packages, if any are missing.
To do this, use brew edit ocrmypdf to obtain a recent list of Homebrew
dependencies. You could also check the .workflows/build.yml.
This will include the English, French, German and Spanish language packs. If you need other languages you can optionally install them all:
brew install tesseract-lang # Option 2: for all language packs
Update the homebrew pip:
pip install --upgrade pipYou can then install OCRmyPDF from PyPI for the current user:
pip install --user ocrmypdfThe command line program should now be available:
ocrmypdf --helpNote
Administrator privileges will be required for some of these steps.
You must install the following for Windows:
- Python 64-bit
- Tesseract 64-bit
- Ghostscript 64-bit
Using the winget package manager:
winget install -e --id Python.Python.3.11winget install -e --id UB-Mannheim.TesseractOCR
You will need to install Ghostscript manually, since it does not support automated installs anymore.
(Or alternately, using the Chocolatey package manager, install the following when running in an Administrator command prompt):
choco install python3choco install --pre tesseractchoco install pngquant(optional)
Either set of commands will install the required software. At the moment there is no single command to install Windows.
You may then use pip to install ocrmypdf. (This can performed by a user or
Administrator.):
python3 -m pip install ocrmypdf
OCRmyPDF will check the Windows Registry and standard locations in your Program Files
for third party software it needs (specifically, Tesseract and Ghostscript). To
override the versions OCRmyPDF selects, you can modify the PATH environment
variable. Follow these directions
to change the PATH.
Warning
As of early 2021, users have reported problems with the Microsoft Store version of Python and OCRmyPDF. These issues affect many other third party Python packages. Please download Python from Python.org or a package manager instead of the Microsoft Store version.
Warning
32-bit Windows is not supported.
- Install Ubuntu 22.04 for Windows Subsystem for Linux, if not already installed.
- Follow the procedure to install :ref:`OCRmyPDF on Ubuntu 22.04 <ubuntu-lts-latest>`.
- Open the Windows command prompt and create a symlink:
wsl sudo ln -s /home/$USER/.local/bin/ocrmypdf /usr/local/bin/ocrmypdfThen confirm that the expected version from PyPI (
wsl ocrmypdf --versionYou can then run OCRmyPDF in the Windows command prompt or Powershell, prefixing
wsl, and call it from Windows programs or batch files.
First install the the following prerequisite Cygwin packages using setup-x86_64.exe:
python310 (or later) python3?-devel python3?-pip python3?-lxml python3?-imaging (where 3? means match the version of python3 you installed) gcc-g++ ghostscript libexempi3 libexempi-devel libffi6 libffi-devel pngquant qpdf libqpdf-devel tesseract-ocr tesseract-ocr-devel
Then open a Cygwin terminal (i.e. mintty), run the following commands. Note
that if you are using the version of pip that was installed with the Cygwin
Python package, the command name will be pip3. If you have since updated
pip (with, for instance pip3 install --upgrade pip) the the command is
likely just pip instead of pip3:
pip3 install wheel
pip3 install ocrmypdfThe optional dependency "unpaper" that is currently not available under Cygwin.
Without it, certain options such as --clean will produce an error message.
However, the OCR-to-text-layer functionality is available.
You can also :ref:`Install the Docker <docker>` container on Windows. Ensure that your command prompt can run the docker "hello world" container.
pkg install textproc/py-ocrmypdfTo install a more recent version, you could attempt to first install the system
version with pkg, then use pip install --user ocrmypdf.
For some users, installing the Docker image will be easier than installing all of OCRmyPDF's dependencies.
See :ref:`docker` for more information.
OCRmyPDF is delivered by PyPI because it is a convenient way to install
the latest version. However, PyPI and pip cannot address the fact
that ocrmypdf depends on certain non-Python system libraries and
programs being installed.
For best results, first install your platform's
version of
ocrmypdf, using the instructions elsewhere in this document. Then
you can use pip to get the latest version if your platform version
is out of date. Chances are that this will satisfy most dependencies.
Use ocrmypdf --version to confirm what version was installed.
Then you can install the latest OCRmyPDF from the Python wheels. First try:
pip install --user ocrmypdf(If the message appears Requirement already satisfied: ocrmypdf in...,
you will need to use pip install --user --upgrade ocrmypdf.)
You should then be able to run ocrmypdf --version and see that the
latest version was located.
Some users may prefer pipx. As with the method above, you will need to satisfy all non-Python dependencies. Then if pipx is installed, you can use
pipx run ocrmypdf(If not installed, pipx will install first.)
OCRmyPDF currently requires these external programs and libraries to be
installed, and must be satisfied using the operating system package
manager. pip cannot provide them.
The following versions are required:
- Python 3.10 or newer
- Ghostscript 9.54 or newer
- Tesseract 4.1.1 or newer
- jbig2enc 0.29 or newer
- pngquant 2.5 or newer
- unpaper 6.1
We recommend 64-bit versions of all software. (32-bit versions are not supported, although on Linux, they may still work.)
jbig2enc, pngquant, and unpaper are optional. If missing certain features are disabled. OCRmyPDF will discover them as soon as they are available.
jbig2enc, if present, will be used to optimize the encoding of monochrome images. This can significantly reduce the file size of the output file. It is not required. jbig2enc is not generally available for Ubuntu or Debian due to lingering concerns about patent issues, but can easily be built from source. To add JBIG2 encoding, see :ref:`jbig2`.
pngquant, if present, is optionally used to optimize the encoding of
PNG-style images in PDFs (actually, any that are that losslessly
encoded) by lossily quantizing to a smaller color palette. It is only
activated then the --optimize argument is 2 or 3.
unpaper, if present, enables the --clean and --clean-final
command line options.
These are in addition to the Python packaging dependencies, meaning that
unfortunately, the pip install command cannot satisfy all of them.
If you have git and Python 3.10 or newer installed, you can install
from source. When the pip installer runs, it will alert you if
dependencies are missing.
If you prefer to build every from source, you will need to build pikepdf from source. First ensure you can build and install pikepdf.
To install the HEAD revision from sources in the current Python 3 environment:
pip install git+https://github.com/ocrmypdf/OCRmyPDF.gitOr, to install in development
mode,
allowing customization of OCRmyPDF, use the -e flag:
pip install -e git+https://github.com/ocrmypdf/OCRmyPDF.gitYou may find it easiest to install in a virtual environment, rather than system-wide:
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
python3 -m venv .venv
source .venv/bin/activate
cd OCRmyPDF
pip install .However, ocrmypdf will only be accessible on the system PATH when
you activate the virtual environment.
To run the program:
ocrmypdf --helpIf not yet installed, the script will notify you about dependencies that need to be installed. The script requires specific versions of the dependencies. Older version than the ones mentioned in the release notes are likely not to be compatible to OCRmyPDF.
To install all of the development and test requirements:
git clone -b main https://github.com/ocrmypdf/OCRmyPDF.git
python -m venv .venv
source .venv/bin/activate
cd OCRmyPDF
pip install -e .[test]To add JBIG2 encoding, see :ref:`jbig2`.
Completions for bash and fish are available in the project's
misc/completion folder. The bash completions are likely zsh
compatible but this has not been confirmed. Package maintainers, please
install these at the appropriate locations for your system.
To manually install the bash completion, copy
misc/completion/ocrmypdf.bash to /etc/bash_completion.d/ocrmypdf
(rename the file).
To manually install the fish completion, copy
misc/completion/ocrmypdf.fish to
~/.config/fish/completions/ocrmypdf.fish.
Many Python libraries no longer provide 32-bit binary wheels for Linux. This includes many of the libraries that OCRmyPDF depends on, such as Pillow. The easiest way to express this to end users is to say we don't support 32-bit Linux.
However, if your Linux distribution still supports 32-bit binaries, you can still install and use OCRmyPDF. A warning message will appear. In practice, OCRmyPDF may need more than 32-bit memory space to run when large documents are processed, so there are practical limitations to what users can accomplish with it. Still, for the common use case of an 32-bit ARM NAS or Raspberry Pi processing small documents, it should work.