Projects / OCRKit

OCRKit

OCRKit uses OCR to recognize the text in a graphic, which is particular useful for PDFs received via email, created by DTP, office applications, or images obtained from a scanner, copier, or digital still camera.

Tags
Licenses
Operating Systems
Implementation

RSS Recent releases

  •  02 Apr 2013 18:09

Release Notes: This is the first major update, with improved performance on many core systems, improved highly compressed PDFs, and improved recognition accuracy and stability.

  •  16 Feb 2013 01:31

Release Notes: Vastly improved performance on multi-core Macs. This version can easily take advantage of 8 or more CPU cores while processing huge PDF or TIFF files. Improved recognition accuracy and PDF compression.

  •  18 Jun 2012 22:10

Release Notes: This release improves OCR recognition accuracy, speed, and stability, revises text positioning precision in the PDF, PDF compression, stability, and usability, and adds various other improvements and fixes.

  •  28 Nov 2011 22:55

Release Notes: This release improves recognition of Typewriter text, retention of certain font families in PDF and HTML, text positioning accuracy in PDF, and stability. There are many other improvements.

  •  12 Oct 2011 21:40

Release Notes: Auto-rotate based on page content was greatly improved.

Screenshot

Project Spotlight

Dipforge

An application server.

Screenshot

Project Spotlight

doxygen

A documentation system for C++ and many other programming languages.