Topics / #document-intelligence

Document-intelligence projects on GitHub

Extracting structured information from documents using machine learning

As of , the most-starred Document-intelligence projects on GitHub are localGPT (22.2K stars), surya (21.5K stars) and PaddleNLP (13K stars). GitHub.Locker tracks 5 Document-intelligence repositories with 61.6K stars combined. The fastest-growing on October 17 was knowhere, with +15 stars in a day.

5Projects
61.6KStars in total
+22Stars in a day

Hot right now

Most stars gained in a day · Oct 17

The all-time top

5 projects · by stars

  1. #1 · PromtEngineer/localGPT

    localGPT

    LocalGPT is a fully private, on-premise document intelligence platform: chat with, summarise and query your own documents using LLMs that run locally, so no data ever leaves your machine.

    22.2K
  2. #2 · datalab-to/surya

    surya

    Surya is Datalab's open-source document OCR system built around a 650M parameter model. It reads text from images and PDFs, and also does layout analysis, reading order, and table recognition.

    21.5K
  3. #3 · PaddlePaddle/PaddleNLP

    PaddleNLP

    PaddleNLP is a large language model (LLM) and small language model (SLM) development toolkit built on the PaddlePaddle deep learning framework, offering efficient training, lossless compression, and high-performance inference for large models.

    13K
  1. 4

    knowhere

    3.8KOntos-AI/knowhere · Python

    Knowhere is an open-source document parsing and retrieval system: it ingests messy files and turns them into structured, navigable memory for AI agents, ready for agentic RAG and any LLM workflow.

  2. 5

    lift

    1.2Kdatalab-to/lift · Python

    lift is an open-source 9B vision-language model and toolkit that extracts structured JSON data from PDFs and images by matching a schema you provide, using schema-constrained decoding to guarantee valid output.

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