About Screen Scraping Library
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 window, Web pages and graphical image, 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 messenger, email clients and Internet browser, 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 application, full-screen programs or applications using graphics to form text messages. Supporting Unicode and various font, Screen Scraping Library can capture text from window, button, lists and tree, console window, 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 system, hospital information system, stock trading applications with charts and ticket, 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.
Changes in this version:
Added C# exampleImproved recognition of underlined fontsSystem requirements:
32Mb RAM, 16Mb Hard Disk space( By Bridges Software, Inc - Screen Scraping Library Publisher )