Screen OCR SDK Library 6.7

Screen OCR SDK Library 6.7 is a useful tool which is designed  to help users to capture text from Windows screen, under the control of another program.

Screen OCR SDK is a programmers library that allows you to capture text from any application that doesn't provide communication APIs in order to feed your program with text. It gives output as text, not graphics which allows further processing, such as dictionary lookup or passing to translation tools. Imagine: your customer captures any text on screen, even when copy/paste is not available, with a hotkey and with a mouse click your dictionary pops up with text already translated/explained.

You can capture text from any part of any window including: status bar messages, Windows error messages, proprietary DOS console programs, menus, any custom controls, etc. It uses OCR technology to grab text directly from the screen, without interaction with application internals.

Screen OCR SDK is OCR (Optical Character Recognition) based solution, which makes it work precisely and incredibly fast and allows capture text even if some custom fonts are used. Screen OCR SDK can be used in different types of software like automation software, dictionaries and translation tools, organizer applications, etc.

It fully supports DOS Console windows (Lucida Console or any other custom font), so you can feed a new program with text data from legacy systems, such as HIS (Hospital Information Systems), teller terminal windows, and so on. Use it to capture window contents from any existing/legacy application that has no communication interface and is impossible, prohibited or expensive to change.

Major Features:

1. Recognizes text in any type of document (HTML, Word, Notepad, PDF, BMP or JPG image) or in any part of the screen and saves it to clipboard.
2. Grabs texts that cannot be saved or printed
3. Recognizes texts in any language that cannot be saved or printed
4. Works with all American and European character sets, including the Central-European and Cyrillic
5. Captures "hidden" text ignoring blocking scripts on Internet pages
6. Reads selected text in documents, emails or Internet pages.
7. Properly works with character sizes 6 to 72 point
8. Selects the text with rectangular selection tool, window selection, scrolling window selection or graphic selection
9. Fully integrates with word processing tools
   

Requirements:

• 16Mb RAM
• 4Mb HD space

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