Showing 7 open source projects for "ocr arabic"

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  • 1
    EasyOCR

    EasyOCR

    Ready-to-use OCR with 80+ supported languages

    Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. EasyOCR is a python module for extracting text from image. It is a general OCR that can read both natural scene text and dense text in document. We are currently supporting 80+ languages and expanding. Second-generation models: multiple times smaller size, multiple times faster inference, additional characters and comparable accuracy to the first...
    Downloads: 26 This Week
    Last Update:
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  • 2
    NAPS2 - Not Another PDF Scanner

    NAPS2 - Not Another PDF Scanner

    Scan documents to PDF and other file types, as simply as possible.

    Visit NAPS2's home page at www.naps2.com. NAPS2 is a document scanning application with a focus on simplicity and ease of use. Scan your documents from WIA- and TWAIN-compatible scanners, organize the pages as you like, and save them as PDF, TIFF, JPEG, PNG, and other file formats. Available on Windows, Mac, and Linux. NAPS2 is currently available in over 40 different languages. Want to see NAPS2 in your preferred language? Help translate! See the wiki for more details.
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    Downloads: 799 This Week
    Last Update:
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  • 3
    OpenKM Document Management - DMS

    OpenKM Document Management - DMS

    Document Management System and Content Management System

    OpenKM is a electronic document management system and record management system EDRMS ( DMS, RMS, CMS ). It provides modern and flexible architecture that meet today's IT demands, based on open technology (Java, Tomcat, GWT, Lucene, Hibernate, Spring and jBPM), powerful and scalable multiplatform application. OpenKM is a Web 2.0 application that works with Internet Explorer, Firefox, Safari and Opera. Can be configured in major DMBS like Oracle, PostgreSQL and MySQL among...
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    Downloads: 806 This Week
    Last Update:
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  • 4

    Image To Text tools

    ITTT is a Free tool designed to Scan and extract Text from Images.

    Image To Text Tools is a 100% Free user-friendly tool designed to Scan and extract containing text in images into editable text formats. Whether you need to extract text from scanned documents, photographs, or other image files, Image To Text Tools provides accurate and reliable Optical Character Recognition (OCR) capabilities to meet your needs.
    Downloads: 73 This Week
    Last Update:
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  • 5
    DJVU++

    DJVU++

    The DjVu complete solution,with OCR Technology(Arabic ,English).

    DjVu++ is a user-friendly program that used to manipulate DjVu file formats such as eBooks with a penalty of editing features. The program introduce a free replacement for the property PDF format with similar resolution and smaller file size DjVu++ also support OCR to handle text in scanned books and images. The program shows good performance for English. In addition to the Arabic language to lead free and commercial software in this area. The main features of DjVu++ program are: o...
    Downloads: 1 This Week
    Last Update:
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  • 6
    DjVuPlus

    DjVuPlus

    DjVu Read Documents,With OCR Technology(Arabic ,English ),Small Size

    The DjVu Reference Library 3.5 was released by Lizardtech under the GNU General Public License version 2. DjVuLibre-3.5 was developed by Leon Bottou and others as a "Derived Work" of the DjVu Reference Library 3.5. As such, it is also subject to the GNU General Public License version 2. Several patents apply to two very specific aspects of DjVu and DjVuLibre. The patents cover a particular aspect of the ZP-coder (the arithmetic coder used in DjVu and implemented in libdjvu/ZPCodec.cpp)...
    Downloads: 1 This Week
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  • 7
    OCR c++ library. Include: contour recognition; vectorisation; matrix letter feature recognition; auto page segmentation and detect rotation; SS3 ASM core; XML base; web-based GUI; 99,6% printed Unicode text recognition; letter base up to 1200 letters.
    Downloads: 0 This Week
    Last Update:
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