A system for agentic LLM-powered data processing and ETL

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

Generic framework for historical document processing

TWIX is an open-source data extraction tool that reconstructs structured data from documents at scale, accurately and at low cost, by inferring the shared underlying visual template across documents

Plug-and-play, zero-shot document AI pipelines.

Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced information retrieval and processing.

A Python framework for multi-modal document understanding with Amazon Bedrock

Retrieval of fully structured data made easy. Use LLMs or custom models. Specialized on PDFs and HTML files. Extensive support of tabular data extraction and multimodal queries.

Open-source toolkit to extract structured knowledge graphs from documents and tables — power analytics, digital twins, and AI-driven assistants.

An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.

A powerful PDF processing engine that deconstructs documents into their core elements—text, images, and tables—and seamlessly reconstructs them into pristine, structured Markdown. Built with a React frontend and a robust Python (PyMuPDF) backend on Appwrite.

Semantic extraction from conference proceedings.

Low-Cost LLM-Powered Data Processing with Theoretical Guarantees

This library builds a graph-representation of the content of PDFs. The graph is then clustered, resulting page segments are classified and returned. Tables are retrieved formatted as a CSV.

Cutting-edge tool that unlocks the full potential of semantic chunking

AI-powered document intelligence platform for automated analysis, processing, and insights extraction from various document formats.

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

DocGenius AI - Generative AI Chatbot for your Documents

OnnxTR OCR plugin for Docling