#Pdf-extraction
Showing 10 of 10 repositories tagged #pdf-extraction, ranked by stars
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
JavaScript bindings for MuPDF
Java PDF table extraction & OCR library. Extract structured tables from text-based and scanned PDFs using stream, lattice (OpenCV-style grid detection), and hybrid parsing.
Fast GPU OCR server. 270 img/s on FUNSD. TensorRT FP16, PP-OCRv5, HTTP + gRPC.
Turn PDFs into clean, structured Markdown
PDF extraction that checks its own work. #2 reading order accuracy — zero AI, zero GPU, zero cost.
An MCP server that lets Claude Code and other AI agents work through large PDFs without overflowing their context — search by meaning or keyword, read only the pages that matter, and cleanly pull out tables, images, and scanned text, even from multi-column and Japanese layouts.