Install Pythonmagick Windows

Configuring Optical Character Recognition (OCR) Optical Character Recognition ( OCR) is a method of converting printed text into digital format so that it can be used in computer-based processing and analysis. Optical Character Recognition (OCR) is a method of converting images of text into a character-based format that can be used in computer-based processing and analysis. Voyager's OCR functionality processes image-based text in index records from PDF, TIF, PNG, BMP, JPG and GIF files. This article describes how to implement a script that runs OCR during the last step of the Indexing Pipeline.

Prerequisites The following modules and external components are used to run this script. The specific versions of the specific builds must be installed per these instructions for PDF and image OCR to work as expected.

Python 2.7.8 for Windows 32-bit Python 2.7.8 should have been installed with ArcGIS Desktop (10.3.1 or earlier). Under the assumption that Voyager is co-installed with ArcGIS Desktop, these scripts have been designed to work with this version of Python. • To confirm your version and architecture, simply run python from your command prompt. The output should be: • We recommend that you include your 32-bit python path on your System PATH environment variable, and that you also set this as the (initial) value for your System PYTHONPATH environment variable, as follows: Python Image Library (PIL) 1.1.7 for Windows Python 2.7 32-bit • Download the PIL installer from • Double-click the executable to install into the Python 2.7 location (above); all installation defaults are acceptable.

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Tesseract OCR • Download the Tesseract OCR libraries from • Double-click the executable to run the installer; all installation defaults are acceptable • On some machines (Windows Server 2012 R2), you will need to add the tesseract install folder to your Path System Variable and create a TESSDATA_PREFIX System Variable set to the location of your Tesseract-OCR install. PyTesser (Python Bindings for Tesseract OCR) • Download the PyTesser libraries from • Unpack the contents of this file to a folder called ~pytesser_v0.0.1~ and copy this folder to Lib site-packages. • Add the full path to this folder to your PYTHONPATH. GhostScript • Download GhostScript from • Double-click the executable to run the installer; all installation defaults are acceptable. ImageMagick • Download the ImageMagick installers from • Double-click the executable to run the installer; all installation defaults are acceptable.

• Set the MAGICK_HOME System environment variable to the full path of this folder. • NOTE: Some issues were encountered on minimal builds of Windows Server 2012 R2 that did not include legacy (pre 2013) 32-bit (x86) Visual C++ Redistributable packages.

Ensure that the list of installed programs contains the following: • All versions of the Visual C++ Redistributable packages can be downloaded from Microsoft’s website. PythonMagick (Python Bindings for ImageMagick) • The easiest way to install Python Magick is by using a WHL (wheel) file using “PIP”. If PIP is not installed (it is not installed by default in Python 2.7.8), you can install PIP by downloading get-pip.py from and running the command > python get-pip.py. • Download the PythonMagick.WHL from. • Install PythonMagick by running the command > pip install PythonMagick-0.9.10-cp27-none-win32.whl PyPDF2 • Install PyPDF2 with pip > Scripts pip.exe install pypdf2 C: Temp • Make sure the directory c: temp exists. OCR with PDFs writes its work in progress to this directory. Testing the Script By following the steps above, all of the software prerequisites should now be installed.

Independent of a Voyager install, you can test that components are in place and working as expected by running the script test_ocr_last_step.py against each of the ocrtest.pdf and ~.png file (contact for information about this file and the Python step.) • From either the command-line or PyScripter (for example), text extracted from the images will be printed to the console. • PDF from command-line: • PNG from PyScripter: Installation & Basic Use • Copy the script Scripts ocr_last_step.py to your app py pipeline steps folder. • Define a location that contains PDFs and/or images with human-readable but not machine-readable text (e.g. Nothing you can select, copy and paste on your PC). • On the Location’s Pipeline settings tab, uncheck Use Default Pipeline Configuration. Select and Add the ocr_last_step as a last custom python step in the pipeline then click Save.

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