Showing 7 open source projects for "data analysis"

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  • 1
    MinerU

    MinerU

    A high-quality tool for convert PDF to Markdown and JSON

    MinerU is an open-source, high-quality document extraction toolkit focused on converting PDFs (and other document formats) into structured Markdown and JSON. It leverages OCR and layout analysis to preserve semantic structure and metadata, ideal for research and data science workflows.
    Downloads: 10 This Week
    Last Update:
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  • 2
    DeepSeek-OCR

    DeepSeek-OCR

    Contexts Optical Compression

    DeepSeek-OCR is an open-source optical character recognition solution built as part of the broader DeepSeek AI vision-language ecosystem. It is designed to extract text from images, PDFs, and scanned documents, and integrates with multimodal capabilities that understand layout, context, and visual elements beyond raw character recognition. The system treats OCR not simply as “read the text” but as “understand what the text is doing in the image”—for example distinguishing captions from body...
    Downloads: 12 This Week
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  • 3
    DocWire SDK

    DocWire SDK

    Award-winning modern data processing SDK in C++20

    DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. ...
    Downloads: 1 This Week
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  • 4
    Common Resource Grep - crgrep

    Common Resource Grep - crgrep

    Common Resource Grep

    CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you...
    Downloads: 2 This Week
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  • 5
    LayoutParser

    LayoutParser

    A Unified Toolkit for Deep Learning Based Document Image Analysis

    With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process. A complete instruction for installing the main Layout Parser library and auxiliary components. Learn how to load DL Layout models and use them for layout detection. The full list of layout models currently available in Layout Parser....
    Downloads: 0 This Week
    Last Update:
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  • 6

    Devanagari OCR

    Devanagari Optical Character Recognition, Annotation tool

    The project has source code and data related to the following tools: 1. Optical Character Recognition. Recognize machine printed Devanagari with or without a dictionary. 2. Document Image Analysis. Automatic page segmentation of document images in multiple Indian languages. Identifies pictures, lines, and words in a document scanned at 300 dpi. 3. Multi-lingual annotation.
    Downloads: 0 This Week
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  • 7
    FormRead

    FormRead

    Free OMR - OCR web sofware based on javascript and PHP

    https://formread.org FormRead is a completely free OMR (optical mark recognition) web software for scanning and grading user-filled, multiple choice forms. Create your formats with any of your office or drawing tools, scan them and parameterize their coordinates in an easy way. Once you have parameterized your form, you can print many of them, give it to your students/respondents, scan and recognize them with formread, and you can finally export the data in your preferred formats...
    Downloads: 4 This Week
    Last Update:
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