document-processing

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Generic framework for historical document processing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

⚡ Cloud-native, AI-powered, document processing pipelines on AWS.

A full-featured Document Management Platform / Document Layer for your application, providing storage, discovery, processing, and retrieval. Deploys directly into your Amazon Web Services Cloud. Please 🌟 star to support our work!

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

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.

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.

An include filter for Pandoc

A Model Context Protocol (MCP) server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling.

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

Unofficial mirror of git://git.lyx.org/lyx.git (updates daily. not affiliated with lyx.org.)

Enhanced Document Understanding on AWS delivers an easy-to-use web application that ingests and analyzes documents, extracts content, identifies and redacts sensitive customer information, and creates search indexes from the analyzed data.

ResumeTex is an AI-powered tool that converts standard PDF resumes into professionally formatted LaTeX documents. This service helps you create elegant, structured resumes without needing to learn LaTeX syntax.

A comprehensive list of annotated training datasets classified by use case.

MCP server for seamless document format conversion and processing

Semantic extraction from conference proceedings.

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.

Low-Cost LLM-Powered Data Processing with Theoretical Guarantees