OCRopus is a free document analysis and optical character recognition system released under the Apache License

OCRopus(tm) is a state-of-the-art document analysis and OCR system, featuring pluggable layout analysis, pluggable character recognition, statistical natural language modeling, and multi-lingual capabilities.

OCRopus is a free document analysis and optical character recognition system released under the Apache License, Version 2.0 with a very modular design through the use of plugins. These plugins allow OCRopus to swap out components easily.

OCRopus is currently developed under the lead of Thomas Breuel from the German Research Centre for Artificial Intelligence in Kaiserslautern, Germany and is sponsored by Google.

OCRopus is developed for Linux; however, users have reported success with OCRopus on Mac OS X and an application called TakOCR[1] has been developed that installs OCRopus on Mac OS X and provides a simple droplet interface.

The OCRopus engine is based on two research projects: a high-performance handwriting recognizer developed in the mid-90's and deployed by the US Census bureau, and novel high-performance layout analysis methods.

OCRopus is development is sponsored by Google and is initially intended for high-throughput, high-volume document conversion efforts. We expect that it will also be an excellent OCR system for many other applications.

Releases

The current release is ocropus-0.4.3; it is still an alpha release, so don't expect stability or high performance yet. We will not be providing new tar balls until the beta release. To obtain ocropus-0.4.3 and install it, please use something like the following commands:

mkdir ~/build
cd ~/build
hg clone https://iulib.googlecode.com/hg/ iulib
cd iulib
hg update -r ocropus-0.4.3
scons
sudo scons install
cd ~/build
hg clone https://ocropus.googlecode.com/hg/ ocropus
cd ocropus
hg update -r ocropus-0.4.3
scons
sudo scons install

That should work on Ubuntu 9.04 if you have all the necessary packages installed; if not, have a look at the DevInstall page or the Google Group Pages.

Resources

OCRopus Mailing List (subscribe / contribute)

OCRopus Group Pages (add your contributions here)

User-contributed links and resources (add links here)

Related Projects

iulib Library (you need to install this)

hOCR Tools -- tools for manipulating OCR output

DECAPOD -- camera-based document capture and tagged PDF generation

PyOpenFST -- Python bindings for OpenFST (for language modeling)

Documentation

The following is the most important documentation:

Release Notes -- summary information about releases

Development Install -- how to install the development version of OCRopus

Using -- some information about how to use OCRopus

Training -- how to train OCRopus

Publications -- information about algorithms

If you want to contribute to the primary documentation, please check out hg clone https://wiki.ocropus.googlecode.com/hg and submit patches against the documentation. Additional links you may find useful are here: