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  2. Copyfish - Wikipedia

    en.wikipedia.org/wiki/Copyfish

    This Web - software -related article is a stub. You can help Wikipedia by expanding it.

  3. Data scraping - Wikipedia

    en.wikipedia.org/wiki/Data_scraping

    Web pages are built using text-based mark-up languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. However, most web pages are designed for human end-users and not for ease of automated use. Because of this, tool kits that scrape web content were created. A web scraper is an API or tool to extract data from a ...

  4. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...

  5. OCRopus - Wikipedia

    en.wikipedia.org/wiki/OCRopus

    Instead, a self-developed text recognizer (also segment-based) was used. [12] This recognizer was then used together with OpenFST [ 13 ] for language modeling after the recognition step. From 2013 onwards, an additional recognition with recurrent neural networks ( LSTM ) was offered, which with the release of version 1.0 in November 2014 is the ...

  6. How do I take a screenshot? - AOL Help

    help.aol.com/articles/how-do-i-take-a-screenshot

    If you're asked to provide a screenshot when contacting AOL about an issue, you can use these steps for the most common operating systems. If you're using a different device, contact the manufacturer of the device for specific steps. • Capture a screenshot on iOS • Capture a screenshot on Windows • Capture a screenshot on Mac OS X

  7. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    Recent effort on adaptive information extraction motivates the development of IE systems that can handle different types of text, from well-structured to almost free text -where common wrappers fail- including mixed types. Such systems can exploit shallow natural language knowledge and thus can be also applied to less structured texts.