Aspose OCR for Java

Name: Aspose OCR for Java
Works on: windows

Windows 98 and above

Developer: Aspose

Version: 1.1
Last Updated: 25 Apr 2017
Release: 16 Apr 2013
Category: Programming

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Aspose OCR for Java Tags

Developers Java Gangstar Crime

Aspose OCR for Java Details

Rating: 1.869565217 out of 5 based on 23 user ratings

Publisher Website: External Link
Downloads: 1184
License: Demo / Trial Version

Aspose OCR for Java is a demo software by Aspose and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows 98, Windows ME, Windows Vista, Windows 2012.
You can download Aspose OCR for Java which is 17.97 MB in size and belongs to the software category Programming.
Aspose OCR for Java was released on 2013-04-16 and last updated on our database on 2017-04-25 and is currently at version 1.1.

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Aspose OCR for Java Description

Aspose.OCR for Java is a character recognition component that allows developers to add OCR functionality in their Java 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 find text in image 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 Java is a character recognition component that allows developers to add OCR functionality in their Java web applications, web services and Windows applications. Read Characters from ImagesSupport for Different File Formats:Using Aspose.OCR for Java, developers can easily extract OCR text from different image formats, includingSupport for Popular Fonts and Styles:Aspose.OCR for Java supports Arial, Times New Roman and Tahoma fonts in regular, bold and italic text styles. 32pt font size is supported.