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Daniel Quinn 2016-01-24 20:35:47 -05:00
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README.rst
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@ -46,20 +46,15 @@ Requirements
This is all really a quite simple, shiny, user-friendly wrapper around some very
powerful tools.
* `ImageMagick`_ converts the images between colour and
greyscale.
* `Tesseract`_ does the character recognition
* `GNU Privacy Guard`_
* `Python 3`_ is the language of the project
* `Pillow`_ loads the image data
as a python object to be used with PyOCR.
* `PyOCR`_ is a slick programmatic wrapper
around tesseract
* `Django`_ is the framework this project is
written against.
* `Python-GNUPG`_ decrypts the PDFs
on-the-fly to allow you to download unencrypted files, leaving the
encrypted ones on-disk.
* `ImageMagick`_ converts the images between colour and greyscale.
* `Tesseract`_ does the character recognition.
* `GNU Privacy Guard`_ is used as the encryption backend.
* `Python 3`_ is the language of the project.
* `Pillow`_ loads the image data as a python object to be used with PyOCR.
* `PyOCR`_ is a slick programmatic wrapper around tesseract.
* `Django`_ is the framework this project is written against.
* `Python-GNUPG`_ decrypts the PDFs on-the-fly to allow you to download
unencrypted files, leaving the encrypted ones on-disk.
The keen eye might have noticed that we're converting a PDF to an image to be
read by Tesseract, and to do this we're using a chain of: scanned PDF >