Screen Scraping Library 3.7
Screen Scraping library captures and recognizes text from GUI and console windows, Web pages and graphical images, and even full-screen applications with fancy fonts by using advanced optical character recognition (OCR) technologies.
Last update
3 Jul. 2012
Licence
Free to try |
$149.00
OS Support
Windows Me
Downloads
Total: 920 | Last week: 0
Ranking
#1571 in
Components & Libraries
Publisher
Bridges Software, Inc
Screenshots of Screen Scraping Library
Screen Scraping Library Publisher's Description
Screen Scraping Library helps software developers integrate new projects with existing and legacy software by capturing text from all types of windows. With this library, it becomes possible to capture text from GUI and console windows, Web pages and graphical images, and even full-screen applications with fancy fonts. Text Scraping Library does not rely on querying windows with messages. Instead, it uses advanced optical character recognition (OCR) technologies to capture text from images grabbed from the computer screen.
Applications written in C++, VB, .Net, C# and Java can access screen scraping and recognition functions of Screen Text Scraper library via DLL or COM interfaces. Numerous samples in all of these languages are included with Screen Scraper library to make learning the screen grabber easier for software developers. The programmers' library includes built-in support of popular applications such as Microsoft Office, various instant messengers, email clients and Internet browsers, and is easy to integrate with other products.
Screen Text Scraping library is used by corporate customers worldwide in order to integrate new systems with legacy software that does not provide accessible communication APIs. Querying windows for text is not always possible, especially for older console applications, full-screen programs or applications using graphics to form text messages. Supporting Unicode and various fonts, Screen Scraping Library can capture text from windows, buttons, lists and trees, console windows, and even pictures and icons thanks to the advanced OCR module employed.
Customers use Screen Scraper Library to integrate new products and create add-ons for existing terminal billing systems, hospital information systems, stock trading applications with charts and tickets, legacy databases and entertainment systems. The screen grabber is fully automated, and can be used in busy commercial environments to back non-stop operation of complex systems.
Applications written in C++, VB, .Net, C# and Java can access screen scraping and recognition functions of Screen Text Scraper library via DLL or COM interfaces. Numerous samples in all of these languages are included with Screen Scraper library to make learning the screen grabber easier for software developers. The programmers' library includes built-in support of popular applications such as Microsoft Office, various instant messengers, email clients and Internet browsers, and is easy to integrate with other products.
Screen Text Scraping library is used by corporate customers worldwide in order to integrate new systems with legacy software that does not provide accessible communication APIs. Querying windows for text is not always possible, especially for older console applications, full-screen programs or applications using graphics to form text messages. Supporting Unicode and various fonts, Screen Scraping Library can capture text from windows, buttons, lists and trees, console windows, and even pictures and icons thanks to the advanced OCR module employed.
Customers use Screen Scraper Library to integrate new products and create add-ons for existing terminal billing systems, hospital information systems, stock trading applications with charts and tickets, legacy databases and entertainment systems. The screen grabber is fully automated, and can be used in busy commercial environments to back non-stop operation of complex systems.
What's New in Version 3.7 of Screen Scraping Library
Added C# example
Improved recognition of underlined fonts
Improved recognition of underlined fonts
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