Search Results for "java ocr extraction text"

Showing 3 open source projects for "java ocr extraction text"

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  • 1
    Extractous

    Extractous

    Fast and efficient unstructured data extraction

    Extractous is a Rust-based unstructured data extraction library focused on fast local parsing of documents and other content-heavy files. Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. ...
    Downloads: 10 This Week
    Last Update:
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  • 2
    pdf-inspector

    pdf-inspector

    Fast Rust library for PDF inspection, classification

    pdf-inspector is a fast Rust library for classifying PDFs and extracting structured text without OCR. It distinguishes text-based, scanned, image-based, and mixed documents while returning confidence scores and pages that may need OCR. Its position-aware parser preserves font data, coordinates, reading order, and multi-column layouts. The converter produces clean Markdown with headings, lists, code blocks, links, page breaks, and formatted tables. It supports CID fonts, several encodings,...
    Downloads: 11 This Week
    Last Update:
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  • 3
    Scanopy

    Scanopy

    Clean network diagrams, One-time setup, zero upkeep

    Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. Developers can compose custom pipelines...
    Downloads: 9 This Week
    Last Update:
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