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  2. Project Naptha - Wikipedia

    en.wikipedia.org/wiki/Project_Naptha

    Project Naptha is a browser extension software for Google Chrome that allows users to highlight, copy, edit and translate text from within images. [1] It was created by developer Kevin Kwok, [2] and released in April 2014 as a Chrome add-on. This software was first made available only on Google Chrome, downloadable from the Chrome Web Store.

  3. Tesseract (software) - Wikipedia

    en.wikipedia.org/wiki/Tesseract_(software)

    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.

  4. Copyfish - Wikipedia

    en.wikipedia.org/wiki/Copyfish

    After a user marks the text in an image, Copyfish extracts it from a website, video or PDF document. [3] [4] Copyfish was first published in October 2015. [5] [6] Copyfish is not only used in Western countries but despite being available only with an English user interface, is used by many Chinese and Hindi-speaking Chrome users.

  5. ABBYY FineReader - Wikipedia

    en.wikipedia.org/wiki/ABBYY_FineReader

    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). Since v15, the Windows version can also edit PDF files. [2]

  6. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Images, Text Classification, object detection 2007 [29] [30] G. Griffin et al. COYO-700M Imagetext-pair dataset 10 billion pairs of alt-text and image sources in HTML documents in CommonCrawl 746,972,269 Images, Text Classification, Image-Language 2022 [31] SIFT10M Dataset SIFT features of Caltech-256 dataset. Extensive SIFT feature extraction.

  7. Comparison of optical character recognition software - Wikipedia

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

    Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines; Software development kits that are used to add OCR capabilities to other software (e.g. forms processing applications, document imaging management systems, e-discovery systems, records management solutions)

  8. 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 ...

  9. Wu Dao - Wikipedia

    en.wikipedia.org/wiki/Wu_Dao

    WuDao Corpora (also written as WuDaoCorpora), as of version 2.0, was a large dataset constructed for training Wu Dao 2.0. It contains 3 terabytes of text scraped from web data, 90 terabytes of graphical data (incorporating 630 million text/image pairs), and 181 gigabytes of Chinese dialogue (incorporating 1.4 billion dialogue rounds). [19]