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  2. Project Naptha - Wikipedia

    en.wikipedia.org/wiki/Project_Naptha

    The OCR enables the build-up of a model of text regions, words and letters from all images. [6] The OCR technology that Project Naptha adopts is a slightly differentiated technology in comparison to the technology used by software such as Google Drive and Microsoft OneNote to facilitate and analyse text

  3. Copyfish - Wikipedia

    en.wikipedia.org/wiki/Copyfish

    Download QR code ; Print/export ... Copyfish is a browser extension software for Google Chrome and Firefox that allows users to copy and paste or copy and translate ...

  4. OCRopus - Wikipedia

    en.wikipedia.org/wiki/OCRopus

    OCRopus is a free document analysis and optical character recognition (OCR) system released under the Apache License v2.0 with a very modular design using command-line interfaces. OCRopus is developed under the lead of Thomas Breuel from the German Research Centre for Artificial Intelligence in Kaiserslautern , Germany and was sponsored by Google .

  5. Intelligent character recognition - Wikipedia

    en.wikipedia.org/wiki/Intelligent_character...

    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 ...

  6. 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 ...

  7. Comparison of optical character recognition software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_optical...

    A 2016 analysis of the accuracy and reliability of the OCR packages Google Docs OCR, Tesseract, ABBYY FineReader, and Transym, employing a dataset including 1227 images from 15 different categories concluded Google Docs OCR and ABBYY to be performing better than others. [22]