huridocs

    huridocs/pdf-document-layout-analysis

    A Docker-powered service for PDF document layout analysis. This service provides a powerful and flexible PDF analysis service. The service allows for the segmentation and classification of different parts of PDF pages, identifying the elements such as texts, titles, pictures, tables and so on.

    devops
    Python
    Apache-2.0
    1.4K stars
    147 forks
    1.4K GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    2 releases in the last 90 days, the latest 27 days ago, with 8 contributors on GitHub.

    Gained 46% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a Docker-powered microservice for intelligent PDF layout analysis, OCR, segmentation, classification, and multi-format conversion with translation support.
    • Offers high accuracy Vision Grid Transformer and fast LightGBM models with GPU support, plus a user-friendly web UI and comprehensive REST API for flexible integration.
    • Use for extracting structured content like titles, tables, and formulas from academic or technical PDF documents for detailed analysis.
    • Use for converting PDFs to Markdown or HTML with automatic multi-language translation for content localization and publishing workflows.
    • Use for applying OCR to scanned PDFs in 150+ languages to create searchable documents and extract text from image-based PDFs.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    A Docker-powered microservice for intelligent PDF document layout analysis, OCR, and content extraction

    Built with ❤️ by HURIDOCS

    This project provides a powerful and flexible PDF analysis microservice built with Clean Architecture principles. The service enables OCR, segmentation, and classification of different parts of PDF pages, identifying elements such as texts, titles, pictures, tables, formulas, and more. Additionally, it determines the correct reading order of these identified elements and can convert PDFs to various formats including Markdown and HTML with automatic translation support powered by Ollama.

    The service offers both a user-friendly Gradio web interface for interactive use and a comprehensive REST API for programmatic access and integration.

    Gradio Web Interface - Easy-to-use UI for PDF analysis, conversion, and translation

    Excerpt from the huridocs/pdf-document-layout-analysis README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    147+10

    Open issues

    14+1

    Compared with peers in DevOps

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    huridocs/pdf-document-layout-analysis compared with DevOps repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    milind-soni/OpenMausBot13.5K+6.0K45today
    DuarteSantos8/openGym19.7K+2.4K602 days ago
    AstrBotDevs/AstrBot46.2K+1.4K655 days ago
    elie222/rakazo7.2K+9225926 days ago
    superplanehq/superplane8.8K+435607 days ago
    huridocs/pdf-document-layout-analysis1.4K—2927 days ago
    Category median13.5K+1.4K60—

    Discover Repositories

    Search across tracked repositories by name or description