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minimalist wrapper around ocropus for generating hOCR documents from images
Python
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scripts
test-data
README
ocropy.py
setup.py
test.py

README

ocropy is a minimal wrapper around the optical character recognition software
ocropus [1] for doing quick and dirty OCR jobs. It converts TIFF, JPEG and 
PNG images to grayscale before attempting to do the ocr, and internally 
handles some temporary files for you.

Usage:

  import ocropy
  hocr = ocropy.hocr("image.png")

If you would like to further process the image, and don't want to go through
the effort of reading it again you can get the PIL Image object that was 
used to convert the image to grayscale:

  hocr, image = hocr_with_image("page.png")

And you can pass it a URL for an image if that's more convenient:

  hocr = ocropy.hocr("http://example.com/image.tif")


Requirements:

* ocropus (available to ubuntu systems w/ apt-get)
* PIL


License:

Public Domain <http://creativecommons.org/licenses/publicdomain/>


Contributors:

Ed Summers <ehs@pobox.com>
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