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OCR: How to C#
Using OCR SDK for C#.NET
Sample C#.NET Codes
C#: Use OCR SDK Library to Get Image and Document Text
C#.NET Online Tutorial for How to Extract Text from Tiff, Jpeg, Png, Gif, Bmp, and Scanned PDF Files
RasterEdge provides users with the most standard and comprehensive Optical Character Recognition SDK that is fully developed, highly accurate and easy to work within C#.NET, VB.NET, ASP.NET web and .NET WinForms program development environments. This online tutorial mainly talks about high level OCR toolkit in C# class programming. With this C# imaging OCR SDK, users are supposed to extract text from various images like Jpeg, Png, Bmp, Gif, Tiff and scanned PDF document, and output to text file, SVG image or PDF file rapidly. So, if you want to deploy OCR recognition, RasterEdge XImage.OCR for .NET is your best choice. Flexible C# OCR recognition, detecting and setting options are provided for better performance.
RasterEdge XImage.OCR for .NET provides you with mature functions to recognize characters out of images and documents types that are supported by RasterEdge .NET Document Imaging SDK.
Free to implement reliable and high performance Optical Character Recognition in any .NET development environment
Simple to integrate .NET Imaging OCR Software into C# and VB.NET programming applications
Support scanning and recognizing MICR E-13B, OCR-A, and OCR-B fonts from check at fast speed
Support using this OCR SDK to extract image and document text content that in various popular languages
Able to recognize images captured by a digital camera, scanned document or image-only PDF using C# OCR toolkit
Support both monochrome and bitonal color image recognition for scanned documents and pictures in C#
Complete and rapid report of extracted text, including size, font, location, character attribute, etc.
RasterEdge.com provides free sample code for using our .NET OCR SDK. You may click below to see an example of using Visual C# programming code to extract text from Jpeg, and output to text file and PDF file. Please note, you need to firstly integrate four assemblies into your C#.NET project as references.
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