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Optical character recognition (OCR) is commonly considered to apply to any recognition technique that reads machine printed text. An example of a traditional OCR use case would be to translate the characters from an image of a printed document, such as a book page, newspaper clipping, or legal contract, into a separate file that could be ...
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 ...
ABBYY FineReader PDF is an optical character recognition (OCR) application developed by ABBYY. [ 2 ] [ 3 ] First released in 1993, the program runs on Microsoft Windows ( Windows 7 or later) and Apple macOS (10.12 Sierra or later).
Tesseract is an optical character recognition engine for various operating systems. [5] It is free software, released under the Apache License. [1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006.
Any printed font: Text, ALTO, hOCR, [19] PDF, others with different user interfaces [20] or the API: Created by Hewlett-Packard; under further development by Google [21] Name Founded year Latest stable version Release year License Online Windows Mac OS X Linux BSD Android iOS Programming language SDK? Languages Fonts Output Formats Notes
hOCR is an open standard of data representation for formatted text obtained from optical character recognition (OCR). The definition encodes text, style, layout information, recognition confidence metrics and other information using Extensible Markup Language (XML) in the form of Hypertext Markup Language (HTML) or XHTML.
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