Showing 4 open source projects for "simple application"

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  • 1
    LWOCR

    LWOCR

    LightWeight OCR

    A lightweight and simple command‑line OCR tool for extracting text from images. Ideal for developers and users who only require basic image to text OCR functionality . Console only application (No GUI) USAGE: C:\Progs>LWOCR Usage: LWOCR.exe <image_path> [text_output] [options] Options: --brightness=X (-1.0 to 1.0, default 0.0) --contrast=X (0.0 to 5.0, default 1.0) --gamma=X (0.1 to 5.0, default 1.0) --digits Only output digits --save-image=path Save processed image Examples: LWOCR.exe image.png # Output to console LWOCR.exe image.png output.txt # Output to file LWOCR.exe image.png --brightness=0.2 # Adjust brightness LWOCR.exe image.png output.txt --save-image=processed.png Support: mrbeepbeepp@gmail.com `
    Downloads: 2 This Week
    Last Update:
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  • 2
    Paperless-ng

    Paperless-ng

    A supercharged version of paperless, scan, index and archive docs

    Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss.
    Downloads: 0 This Week
    Last Update:
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  • 3
    OCR Image Simply

    OCR Image Simply

    Simple Windows application to OCR images

    Probably the simplest Windows application to OCR images with use of Tesseract 3.05.02. Languages recognized: German, English, French, Italian, Polish, Spanish Just download ZIP file Then unzip archive And feel free to use everywhere - Solution published under MIT license Description can be found at: https://coolautomations.com/ocr-as-simple-as-it-can-be/
    Downloads: 1 This Week
    Last Update:
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  • 4

    cbrTekStraktor

    an application to automatically extract text from comic books.

    ...The application comprises a simple graphical editor for further processing the extracted text. The text extraction is achieved by a combination of statistical and graphical processing operations. It is based on the following 3 major algorithms - Binarization of color images (Niblak and other methods) - Connected components - K-Means clustering Apache Tesseract is used to perform Optical Character Recognition on the extracted text.
    Downloads: 1 This Week
    Last Update:
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