The LEADTOOLS OCR Class Library provides programming tools for quickly and easily inserting document optical character recognition (OCR) technology into software applications. Using the LEADTOOLS OCR Class Library, programmers can perform character recognition on document images and output recognized text to over 20 file formats.
LEADTOOLS makes OCR development easier with auto-zone detection, manual zone creation, auto-orientation, document image cleanup, and preset values for common document images that can be used to improve recognition results. The LEADTOOLS OCR Class Library supports over 40 languages and features output document options like specifying document margins and paragraph options.
The LEADTOOLS OCR Class Library offers support for multiple OCR engines. Currently, LEADTOOLS ships with the following OCR engines:
With the LEADTOOLS OCR Class Library, the internal workings of the various engines are hidden and represented in a uniform class library. You should be able—if desired—to switch among any of the supported OCR engines without changing your application code or logic.
The following standard options are available in all OCR engines:
Getting Started (Guide to Example Programs)
Programming with LEADTOOLS .NET OCR
An Overview of OCR Recognition Modules
Creating an OCR Engine Instance
Starting and Shutting Down the OCR Engine
OCR Spell Language Dictionaries
OCR Tutorial - Working with Pages
OCR Tutorial - Recognizing Pages
OCR Tutorial - Adding and Painting Zones
OCR Tutorial - Working with Recognition Results
OCR Tutorial - Scanning to Searchable PDF
OCR Languages and Spell-Checking
Using OMR in LEADTOOLS .NET OCR
Multi-Threading with LEADTOOLS OCR
Raster .NET | C API | C++ Class Library | JavaScript HTML5
Document .NET | C API | C++ Class Library | JavaScript HTML5
Medical .NET | C API | C++ Class Library | JavaScript HTML5
Medical Web Viewer .NET
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