Nicomsoft OCR - is an OCR toolkit that allows developers to embed high-quality optical character recognition functionality in their products. While the recognition quality delivered by Nicomsoft OCR is on a par with the premium OCR packages on the market, we also offer a royalty-free licensing policy. This gives our customers the lowest total cost of ownership of a quality OCR system, enabling them to create software products that are more competitive. Key features: - Support of many image formats: BMP, JPEG, PNG, TIFF, GIF and many others - Support of multipage image formats (TIFF, GIF). - Ability to load image from a file, memory or pixel data. - Robust adaptive image binarization supports images with poor brightness or low contrast - Ability to perform zonal OCR: select one or multiple areas for OCR - Ability to specify different OCR options for different areas - ICR module for handwritten digits - Support of English, German, French, Spanish, Russian, Italian and Portuguese languages - Ability to specify several languages for OCR - Ability to specify different languages for different areas on an image - Ability to use several CPU cores for even faster OCR - Unique character analysis technology delivering reliable recognition of any fonts - Advanced algorithms for poor-quality text, distorted, connected and broken characters - Dictionaries are used for the best recognition - Ability to exclude some characters from character set when necessary - Ability to get additional information about text lines, words and characters: position, size, quality, etc - Full Unicode support - 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 that can use Nicomsoft OCR: .NET, WPF, WCF, ASP.NET, Silverlight - Both native x86 and x64 binaries are available
Requirements: 1GHz CPU, 256MB RAM
What's new in this version: A lot of new features were added
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Nicomsoft OCR 3.5.431 for Developers
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Nicomsoft OCR 3.5.431 Copyright
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