`brew install tesseract` just installed the english language pack not French, German or Spanish
375 lines
13 KiB
ReStructuredText
375 lines
13 KiB
ReStructuredText
OCRmyPDF
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========
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OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to
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be searched.
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Main features
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-------------
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- Generates a searchable
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`PDF/A <https://en.wikipedia.org/?title=PDF/A>`_ file from a regular PDF
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- Places OCR text accurately below the image to ease copy / paste
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- Keeps the exact resolution of the original embedded images
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- When possible, inserts OCR information as a "lossless" operation without rendering vector information
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- Keeps file size about the same
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- If requested deskews and/or cleans the image before performing OCR
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- Validates input and output files
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- Provides debug mode to enable easy verification of the OCR results
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- Processes pages in parallel when more than one CPU core is
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available
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- Uses `Tesseract OCR <https://github.com/tesseract-ocr/tesseract>`_ engine
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- Supports more than `100 languages <https://github.com/tesseract-ocr/tessdata>`_ recognized by Tesseract
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- Battle-tested on thousands of PDFs, a test suite and continuous integration
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For details: please consult the `release notes <RELEASE_NOTES.rst>`_.
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Motivation
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----------
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I searched the web for a free command line tool to OCR PDF files on
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Linux/UNIX: I found many, but none of them were really satisfying.
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- Either they produced PDF files with misplaced text under the image (making copy/paste impossible)
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- Or they did not handle accents and multilingual characters
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- Or they changed the resolution of the embedded images
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- Or they generated ridiculously large PDF files
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- Or they crashed when trying to OCR some of my PDF files
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- Or they did not produce valid PDF files (even though they were readable with my current PDF reader)
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- On top of that none of them produced PDF/A files (format dedicated for long time storage)
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... so I decided to develop my own tool (using various existing scripts
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as an inspiration)
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Installation
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------------
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Download OCRmyPDF here: https://github.com/jbarlow83/OCRmyPDF/releases
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These steps describe how to install OCRmyPDF on your system.
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- `Installing on Debian and Ubuntu`_ (Debian stretch and Ubuntu 16.10 or later)
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- `Installing the Docker image`_
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- `Installing on Mac OS X`_
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- `Installing on Ubuntu 14.04 LTS`_
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- Installing and running on `Windows`_ using the Docker image
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If you prefer to install from source or install OCRmyPDF to a Python virtual environment, see steps for `Installing HEAD revision from sources`_.
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.. _Windows: `Installing on Windows`_
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Installing on Debian and Ubuntu
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Users of Debian 9 or later or Ubuntu 16.10 or later may simply
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``apt-get install ocrmypdf``.
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.. _Docker:
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Installing the Docker image
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~~~~~~~~~~~~~~~~~~~~~~~~~~~
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For many users, installing the Docker image will be easier than installing all of OCRmyPDF's dependencies. For Windows, it is the only option.
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If you have `Docker <https://docs.docker.com/>`_ installed on your system, you can install
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a Docker image of the latest release.
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Follow the Docker installation instructions for your platform. If you can run this command
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successfully, your system is ready to download and execute the image:
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.. code-block:: bash
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docker run hello-world
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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:
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.. code-block:: bash
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# Optional step for Mac OS X users
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docker-machine stop "yourVM"
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VBoxManage modifyvm "yourVM" --cpus 2 # or whatever number of core is desired
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docker-machine start "yourVM"
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eval $(docker-machine env "yourVM")
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Assuming you have a Docker engine running somewhere, you can run these commands to download
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the image:
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.. code-block:: bash
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docker pull jbarlow83/ocrmypdf
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Then tag it to give a more convenient name, just ocrmypdf:
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.. code-block:: bash
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docker tag jbarlow83/ocrmypdf ocrmypdf
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This image contains language packs for English, French, Spanish and German. The alternative "polyglot" image provides `all available language packs <https://github.com/tesseract-ocr/tesseract/blob/master/doc/tesseract.1.asc#languages>`_:
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.. code-block:: bash
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# Alternative step: If you need all language packs
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docker pull jbarlow83/ocrmypdf-polyglot
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docker tag jbarlow83/ocrmypdf-polyglot ocrmypdf
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You can then run ocrmypdf using the command:
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.. code-block:: bash
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docker run ocrmypdf --help
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To execute the OCRmyPDF on a local file, you must `provide a writable volume to the Docker image <https://docs.docker.com/userguide/dockervolumes/>`_, such as this in this template:
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.. code-block:: bash
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docker run -v "$(pwd):/home/docker" <other docker arguments> ocrmypdf <your arguments to ocrmypdf>
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In this worked example, the current working directory contains an input file called ``test.pdf`` and the output will go to ``output.pdf``:
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.. code-block:: bash
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docker run -v "$(pwd):/home/docker" ocrmypdf --skip-text test.pdf output.pdf
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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.
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Installing on Mac OS X
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~~~~~~~~~~~~~~~~~~~~~~
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These instructions probably work on all Mac OS X versions later than 10.7 (Lion). OCRmyPDF is known to work on Yosemite and El Capitan, and regularly tested on El Capitan.
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If it's not already present, `install Homebrew <http://brew.sh/>`_.
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Update Homebrew:
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.. code-block:: bash
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brew update
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Install or upgrade the required Homebrew packages, if any are missing:
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.. code-block:: bash
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brew install libpng openjpeg jbig2dec libtiff # image libraries
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brew install qpdf
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brew install ghostscript
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brew install python3
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brew install libxml2 libffi leptonica
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brew install unpaper # optional
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Install the required Tesseract OCR engine with the language packs you plan to use:
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.. code-block:: bash
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brew install tesseract # Option 1: for English
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.. code-block:: bash
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brew install tesseract --with-all-languages # Option 2: for all language packs
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Update the homebrew pip and install Pillow:
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.. code-block:: bash
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pip3 install --upgrade pip
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pip3 install --upgrade pillow
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You can then install OCRmyPDF from PyPI:
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.. code-block:: bash
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pip3 install ocrmypdf
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The command line program should now be available:
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.. code-block:: bash
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ocrmypdf --help
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Installing on Ubuntu 14.04 LTS
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Installing on Ubuntu 14.04 LTS (trusty) is more difficult than some other options, because of bugs in Python package installation.
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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.
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.. code-block:: bash
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sudo add-apt-repository ppa:vshn/ghostscript -y
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sudo add-apt-repository ppa:heyarje/libav-11 -y
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Update apt-get:
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.. code-block:: bash
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sudo apt-get update
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sudo apt-get upgrade
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Install system dependencies:
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.. code-block:: bash
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sudo apt-get install \
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zlib1g-dev \
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libjpeg-dev \
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libffi-dev \
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libavformat56 libavcodec56 libavutil54 \
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ghostscript \
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tesseract-ocr \
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qpdf \
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python3-pip \
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python3-pil \
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python3-pytest \
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python3-reportlab
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If you wish install OCRmyPDF to the system Python, then install as follows (note this installs new packages
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into your system Python, which could interfere with other programs):
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.. code-block:: bash
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sudo pip3 install ocrmypdf
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If you wish to install OCRmyPDF to a virtual environment to isolate the system Python, you can
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follow these steps. This includes a workaround `for a known, unresolved issue in Ubuntu 14.04's ensurepip
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package <http://www.thefourtheye.in/2014/12/Python-venv-problem-with-ensurepip-in-Ubuntu.html>`_:
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.. code-block:: bash
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sudo apt-get install python3-venv
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python3 -m venv venv-ocrmypdf --without-pip
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source venv-ocrmypdf/bin/activate
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wget -O - -o /dev/null https://bootstrap.pypa.io/get-pip.py | python
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deactivate
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python3 -m venv --system-site-packages venv-ocrmypdf
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source venv-ocrmypdf/bin/activate
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pip install ocrmypdf
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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 is not motivated to figure how to set up a Ubuntu PPA to distribute it. You can create a .deb package to do the job of installing unpaper 6.1 (for x86 64-bit only):
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.. code-block:: bash
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wget -q https://dl.dropboxusercontent.com/u/28971240/unpaper_6.1-1.deb -O unpaper_6.1-1.deb
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sudo dpkg -i unpaper_6.1-1.deb
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Installing on Windows
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~~~~~~~~~~~~~~~~~~~~~
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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.
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Running on Windows
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~~~~~~~~~~~~~~~~~~
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The command line syntax to run ocrmypdf from a command prompt will resemble:
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.. code-block:: bat
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docker run -v /c/Users/sampleuser:/home/docker ocrmypdf --skip-text test.pdf output.pdf
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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.
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Installing HEAD revision from sources
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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If you have ``git`` and ``python3.4`` or ``python3.5`` installed, you can install from source. When the ``pip`` installer runs,
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it will alert you if dependencies are missing.
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To install the HEAD revision from sources in the current Python 3 environment:
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.. code-block:: bash
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pip3 install git+https://github.com/jbarlow83/OCRmyPDF.git
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Or, to install in `development mode <https://pythonhosted.org/setuptools/setuptools.html#development-mode>`_, allowing customization of OCRmyPDF, use the ``-e`` flag:
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.. code-block:: bash
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pip3 install -e git+https://github.com/jbarlow83/OCRmyPDF.git
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On certain Linux distributions such as Ubuntu, you may need to use
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run the install command as superuser:
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.. code-block:: bash
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sudo pip3 install [-e] git+https://github.com/jbarlow83/OCRmyPDF.git
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Note that this will alter your system's Python distribution. If you prefer
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to not install as superuser, you can install the package in a Python virtual environment:
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.. code-block:: bash
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git clone -b master https://github.com/jbarlow83/OCRmyPDF.git
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python3 -m venv
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source venv/bin/activate
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cd OCRmyPDF
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pip3 install .
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However, ``ocrmypdf`` will only be accessible on the system PATH after
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you activate the virtual environment.
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To run the program:
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.. code-block:: bash
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ocrmypdf --help
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If not yet installed, the script will notify you about dependencies that
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need to be installed. The script requires specific versions of the
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dependencies. Older version than the ones mentioned in the release notes
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are likely not to be compatible to OCRmyPDF.
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Languages
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---------
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OCRmyPDF uses Tesseract for OCR, and relies on its language packs. For Linux users,
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you can often find packages that provide language packs:
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.. code-block:: bash
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# Display a list of all Tesseract language packs
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apt-cache search tesseract-ocr
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# Debian/Ubuntu users
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sudo apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified language back
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You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as to what languages it should search for. Multiple
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languages can be requested.
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Support
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-------
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Once ocrmypdf is installed, the built-in help which explains the command syntax and options can be accessed via:
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.. code-block:: bash
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ocrmypdf --help
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The `Wiki <https://github.com/jbarlow83/OCRmyPDF/wiki>`_ page also contains some tips and suggests.
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If you detect an issue, please:
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- Check whether your issue is already known
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- If no problem report exists on github, please create one here:
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https://github.com/jbarlow83/OCRmyPDF/issues
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- Describe your problem thoroughly
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- Append the console output of the script when running the debug mode
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(``-v 1`` option)
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- If possible provide your input PDF file as well as the content of the
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temporary folder (using a file sharing service like Dropbox)
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Press & Media
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-------------
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- `c't 1-2014, page 59 <http://heise.de/-2279695>`_:
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Detailed presentation of OCRmyPDF v1.0 in the leading German IT
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magazine c't
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- `heise Open Source, 09/2014: Texterkennung mit
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OCRmyPDF <http://heise.de/-2356670>`_
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Disclaimer
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----------
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The software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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CONDITIONS OF ANY KIND, either express or implied.
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