Please note: This page has been retired.

You can find current information from the links below

If you need to buy a license for this specific version, please contact us for availability and pricing.

Other information on this page is shown for historical reference only and may have changed considerably since.

What's new in Nicomsoft OCR V2.2?

• Advanced lines/frames removal algorithm
• Autoscaling algorithm
• Portuguese and Italian language support
• Significantly reduced uninitialization delay
• Ability to use external DLL as a dictionary
• Improved deskew algorithm

What's new in Nicomsoft OCR V2.1?

• New deskew algorithm and "Img_GetSkewAngle" function.
• Improved "Blk_Inversion" function: added the ability to detect block inversion.
• Added block inversion detection during page layout analysis.
• Improved error handling.
• Updated sample projects.
• Updated documentation.

Nicomsoft OCR Features

• Character analysis technology delivering reliable recognition of any font even in poor-quality images
• Excellent analysis algorithms for poor quality text, distorted, connected and broken characters
• Dictionaries are used for the best recognition
• English, German, French, Spanish and Russian language support
• ICR module for handwritten digits
• Full support for multiple core CPUs speeding up analysis through efficient parallel processing of recognition
• Support of multiple image formats: BMP, JPEG, PNG, TIFF, GIF and many others
• Simple API interface and sample projects for various programming languages: C#, C++, VB.NET, Delphi, C++ Builder, VB
• A wide set of supported frameworks and technologies (.NET, WPF, WCF, ASP.NET, Silverlight.)
• Both native x86 and x64 binaries are available included
• Support for multipage image formats (TIFF, GIF)
• Support for PDF files (GhostScript is used)
• Load images from files, memory or pixel data
• Invert/rotate/mirror entire images or some text block(s) before processing
• Adaptive image binarization supports images with poor brightness or low contrast
• Configure image binarization parameters for specific images
• Page layout analysis algorithm (zoning)
• Perform OCR step by step and get intermediate results
• Use several CPU cores for even faster image binarization
• Perform zonal OCR: select one or multiple areas for OCR
• Specify different OCR options for different areas
• Process multiple images at once by using multiple threads