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Topic · table-extraction

table-extraction

Tracked open-source repos tagged table-extraction, sorted by stars.

Repos
8
Total stars
37,910
Avg. stars
4,739
Share
0.00%

Topics that frequently appear alongside table-extraction on the same repo.

Recent risers

Repos created in the last 90 days, tagged table-extraction.

No new repos tagged with this topic in the last 90 days.

  • pdfplumber@jsvine

    Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

    10,701+15Star change over the last 7 days
  • PyMuPDF@pymupdf

    PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

    10,602+67Star change over the last 7 days
  • xberg@xberg-io

    Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fifteen bindings, with CLI, REST API, and MCP server.

    9,233+48Star change over the last 7 days
  • table-transformer@microsoft

    Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

    2,943+2Star change over the last 7 days
  • docext@NanoNets

    An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

    2,086+4Star change over the last 7 days
  • api-llm-ocr@yigitkonur

    PDF to markdown using vision LLMs — tables, layouts, and structure preserved

    901-2Star change over the last 7 days
  • img2table@xavctn

    img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing

    894+2Star change over the last 7 days
  • ParseBench@run-llama

    ParseBench - A Document Parsing Benchmark for AI Agents

    558+2Star change over the last 7 days
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