Installation

Installing on Debian and Ubuntu

Users of Debian 9 (“stretch”) or later or Ubuntu 16.10 or later may simply

apt-get install ocrmypdf

Installing the Docker image

For many users, installing the Docker image will be easier than installing all of OCRmyPDF’s dependencies. For Windows, it is the only option.

If you have Docker installed on your system, you can install a Docker image of the latest release.

Follow the Docker installation instructions for your platform. If you can run this command successfully, your system is ready to download and execute the image:

docker run hello-world

OCRmyPDF will use all available CPU cores. By default, the VirtualBox machine instance on Windows and OS X has only a single CPU core enabled. Use the VirtualBox Manager to determine the name of your Docker engine host, and then follow these optional steps to enable multiple CPUs:

# Optional step for Mac OS X users
docker-machine stop "yourVM"
VBoxManage modifyvm "yourVM" --cpus 2  # or whatever number of core is desired
docker-machine start "yourVM"
eval $(docker-machine env "yourVM")

Assuming you have a Docker engine running somewhere, you can run these commands to download the image:

docker pull jbarlow83/ocrmypdf

Then tag it to give a more convenient name, just ocrmypdf:

docker tag jbarlow83/ocrmypdf ocrmypdf

This image contains language packs for English, French, Spanish and German. The alternative “polyglot” image provides all available language packs:

# Alternative step: If you need all language packs
docker pull jbarlow83/ocrmypdf-polyglot
docker tag jbarlow83/ocrmypdf-polyglot ocrmypdf

You can then run ocrmypdf using the command:

docker run --rm ocrmypdf --help

To execute the OCRmyPDF on a local file, you must provide a writable volume to the Docker image, and both the input and output file must be inside the writable volume. This example command uses the current working directory as the writable volume:

docker run --rm -v "$(pwd):/home/docker" <other docker arguments>   ocrmypdf <your arguments to ocrmypdf>

In this worked example, the current working directory contains an input file called test.pdf and the output will go to output.pdf:

docker run --rm -v "$(pwd):/home/docker"   ocrmypdf --skip-text test.pdf output.pdf

Note that ocrmypdf has its own separate -v VERBOSITYLEVEL argument to control debug verbosity. All Docker arguments should before the ocrmypdf image name and all arguments to ocrmypdf should be listed after.

Installing on macOS (formerly Mac OS X)

These instructions probably work on all macOS supported by Homebrew. OCRmyPDF is known to work on Yosemite and El Capitan, and regularly tested on El Capitan.

If it’s not already present, install Homebrew.

Update Homebrew:

brew update

Install or upgrade the required Homebrew packages, if any are missing:

brew install libpng openjpeg jbig2dec libtiff     # image libraries
brew install qpdf
brew install ghostscript
brew install python3
brew install libxml2 libffi leptonica
brew install unpaper   # optional

Install the required Tesseract OCR engine with the language packs you plan to use:

brew install tesseract                       # Option 1: for English, French, German, Spanish
brew install tesseract --with-all-languages  # Option 2: for all language packs

Update the homebrew pip and install Pillow:

pip3 install --upgrade pip
pip3 install --upgrade pillow

You can then install OCRmyPDF from PyPI:

pip3 install ocrmypdf

The command line program should now be available:

ocrmypdf --help

Installing on Ubuntu 14.04 LTS

Installing on Ubuntu 14.04 LTS (trusty) is more difficult than some other options, because of bugs in Python package installation.

Add new “apt” repositories needed for backports of Ghostscript 9.16 and libav-11, which supports unpaper 6.1. This will replace Ghostscript on your system.

sudo add-apt-repository ppa:vshn/ghostscript -y
sudo add-apt-repository ppa:heyarje/libav-11 -y

Update apt-get:

sudo apt-get update
sudo apt-get upgrade

Install system dependencies:

sudo apt-get install \
   zlib1g-dev \
   libjpeg-dev \
   libffi-dev \
   libavformat56 libavcodec56 libavutil54 \
   ghostscript \
   tesseract-ocr \
   qpdf \
   python3-pip \
   python3-pil \
   python3-pytest \
   python3-reportlab

If you wish install OCRmyPDF to the system Python, then install as follows (note this installs new packages into your system Python, which could interfere with other programs):

sudo pip3 install ocrmypdf

If you wish to install OCRmyPDF to a virtual environment to isolate the system Python, you can follow these steps. This includes a workaround for a known, unresolved issue in Ubuntu 14.04’s ensurepip package:

sudo apt-get install python3-venv
python3 -m venv venv-ocrmypdf --without-pip
source venv-ocrmypdf/bin/activate
wget -O - -o /dev/null https://bootstrap.pypa.io/get-pip.py | python
deactivate
python3 -m venv --system-site-packages venv-ocrmypdf
source venv-ocrmypdf/bin/activate
pip install ocrmypdf

These installation instructions omit the optional dependency unpaper, which is only available at version 0.4.2 in Ubuntu 14.04. The author could not find a backport of unpaper, and created a .deb package to do the job of installing unpaper 6.1 (for x86 64-bit only):

wget -q https://dl.dropboxusercontent.com/u/28971240/unpaper_6.1-1.deb -O unpaper_6.1-1.deb
sudo dpkg -i unpaper_6.1-1.deb

Installing on Windows

Direct installation on Windows is not possible. Install the Docker container as described above. Ensure that your command prompt can run the docker “hello world” container.

Running on Windows

The command line syntax to run ocrmypdf from a command prompt will resemble:

docker run -v /c/Users/sampleuser:/home/docker ocrmypdf --skip-text test.pdf output.pdf

where /c/Users/sampleuser is a Unix representation of the Windows path C:\Users\sampleuser, assuming a user named “sampleuser” is running ocrmypdf on a file in their home directory, and the files “test.pdf” and “output.pdf” are in the sampleuser folder. The Windows user must have read and write permissions.

Installing HEAD revision from sources

If you have git and python3.4 or python3.5 installed, you can install from source. When the pip installer runs, it will alert you if dependencies are missing.

To install the HEAD revision from sources in the current Python 3 environment:

pip3 install git+https://github.com/jbarlow83/OCRmyPDF.git

Or, to install in development mode, allowing customization of OCRmyPDF, use the -e flag:

pip3 install -e git+https://github.com/jbarlow83/OCRmyPDF.git

On certain Linux distributions such as Ubuntu, you may need to use run the install command as superuser:

sudo pip3 install [-e] git+https://github.com/jbarlow83/OCRmyPDF.git

Note that this will alter your system’s Python distribution. If you prefer to not install as superuser, you can install the package in a Python virtual environment:

git clone -b master https://github.com/jbarlow83/OCRmyPDF.git
python3 -m venv
source venv/bin/activate
cd OCRmyPDF
pip3 install .

However, ocrmypdf will only be accessible on the system PATH after you activate the virtual environment.

To run the program:

ocrmypdf --help

If 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.