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Aspose.OCR for .NET is a character recognition component built to allow developers to add OCR functionality in their ASP .NET web applications, web services and Windows applications. It provides a simple set of classes for controlling character recognition.
The API is extensible, easy to use and compact. It provides common functionality so that developers have to write less code when performing common tasks.
Aspose.OCR is aimed at developers who need to work with image (BMP and TIFF) files from within their own applications. It allows developers to extract text from images quickly and easily, saving the time and effort involved in developing an OCR solution from scratch.
Read Characters from Images
Aspose.OCR for .NET provides a class library for extracting text from images. Your images can contain text with different fonts and styles. You can read this text and related information with Aspose.OCR for .NET.
Scan Whole Image or a Part of the Image
Using Aspose.OCR for .NET, developers can extract text and related information (font and style etc.) from a whole image or a specific part of an image.
Support for Different File Formats
Using Aspose.OCR for .NET, developers can easily extract OCR text from different image formats, including:
Support for Popular Fonts and Styles
Aspose.OCR for .NET supports Arial and Times New Roman fonts in regular, bold and italic text styles. 16pt and 32pt +/- 20% font sizes are supported.
- Read text from images
- Read font and style information
- Extract text from whole image or a part of the image
What's New in this Release: It has introduced many useful features, including Automatic Spelling Correction, allowing user to Add Custom Text Blocks, Auto Detection of Text Blocks and Removal of Graphics (Non-Textual Blocks). This release also completely overhauled the OcrEngine with new recognition algorithm
Link to Aspose.OCR for .NET sample code
Platform: Win2000,Win7 x32,WinVista,WinXP
License: Free To Try
Development::Basic, VB, VB DotNet
Date Added: Apr 11, 2013
Last check for an update: Jan 17, 2017
Last version date: Jun 28, 2014
Downloads Total : 1
Downloads last 10 Days: None
Page Visit: 143
Malware Status: Not scanned yet