Latest news:
February 9, 2012
New OCR articles added!
February 9, 2012
New OCR FAQ added!
February 7, 2012
OCR SDK v2.2 released!
January 31, 2012
WinI2C/DDC v4.02 released!
January 12, 2012
OCR SDK v2.1 released!
December 27, 2011
WiFi-Manager v5.7 released!
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Nicomsoft OCR
Smart optical character recognition system
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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.
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Key features:
- Unique character analysis technology delivering reliable recognition of any fonts 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 languages support
- ICR module for handwritten digits
- Full support of multiple-core CPUs, speeding up analysis of even a single text fragment through efficient parallel processing of recognition
- Support of multiple image formats: BMP, JPEG, PNG, TIFF, GIF and many others
- Intuitive API interface and Nicomsoft OCR usage examples for various programming languages.
- Both native x86 and x64 binaries are available
Check List of Features page for the complete list of features offered by Nicomsoft OCR engine.
Nicomsoft OCR is designed for using with:
- Microsoft Visual C++
- Microsoft Visual Basic
- Microsoft Visual Studio .NET
- Microsoft Visual Basic .NET
- Microsoft Visual C#
- Borland Delphi
- Borland C++ Builder
- Other programming systems that can access functions in DLLs or can use COM objects.
Nicomsoft OCR SDK contains several sample projects in different programming languages:
Download a trial version of Nicomsoft OCR SDK. The kit includes test applications for evaluating the quality of recognition.
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