Camelot
PDF table extraction for humans
Camelot launched on October 13, 2018 with 105 votes, #353 of 2,827 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 8 years on.
What it does
Camelot is a Python Library to extract tabular data from PDFs.
Camelot: PDF Table Extraction for Humans. Contribute to atlanhq/camelot development by creating an account on GitHub.
Does a similar job
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Camelot – PDF Table Extraction for Humans2018 · github.com · ▲8Camelot: PDF Table Extraction for Humans. Contribute to atlanhq/camelot development by creating an account on GitHub.
Excalibur – A web interface to extract tabular data from PDFs2018 · github.com · ▲5A web interface to extract tabular data from PDFs. Contribute to camelot-dev/excalibur development by creating an account on GitHub.
Excalibur – a web interface to extract tabular data from PDFs2018 · github.com · ▲6A web interface to extract tabular data from PDFs. Contribute to camelot-dev/excalibur development by creating an account on GitHub.

PDF Dino2025 · pdfdino.com · ▲155Extract structured tables from messy PDFs using AI. Export to Excel, CSV, or JSON. Try 20 pages free—no credit card needed.
Kreuzberg – Modern async Python library for document text extraction2025 · github.com · ▲197I'm excited to showcase Kreuzberg! Kreuzberg is a modern Python library built from the ground up with async/await, type hints, and optimized I/O handling. It provides a unified interface for extracting text from documents (PDFs, images, office files) without external API dependencies. Key technical features: - Built with modern Python best practices (async/await, type hints, functional-first) - Optimized async I/O with anyio for multi-loop compatibility - Smart worker process pool for CPU-bound tasks (OCR, doc conversion) - Efficient batch processing with concurrent…
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