Easy-to-use and powerful LLM and SLM library with awesome model zoo.

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• Updated May 23, 2026
• Python

The fast, precise document-intelligence engine for every language: text, tables and metadata from 100+ formats, with OCR, transcription and code intelligence.

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• Updated Nov 12, 2026
• Rust

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

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• Updated Nov 11, 2026
• Python

Extract structured data and insights from documents using LLMs and decision models

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• Updated Nov 9, 2026
• Python

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

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• Updated Mar 17, 2026
• C++

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

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• Updated Sep 16, 2026
• Python

A curated list of resources for Document Understanding (DU) topic

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• Updated Jun 2, 2023

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

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• Updated Dec 12, 2024
• Jupyter Notebook

Local-first AI-powered document intelligence platform for investigative journalism

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• Updated Jan 25, 2026
• Python

INF Tech's open-source MLLMs for SOTA visual-language understanding and advanced document intelligence.

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• Updated Oct 10, 2026
• Python

Knwler is a lightweight Python tool that extracts structured knowledge graphs from documents using AI. Feed it a PDF or text file and receive a richly connected network of entities, relationships, and topics — complete with an interactive HTML report and exports ready for your favorite graph analytics platform.

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• Updated Apr 3, 2026
• Python

A collection of samples demonstrating techniques for processing documents with Azure AI including AI Foundry, OpenAI, Document Intelligence, etc.

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• Updated Oct 27, 2025
• Bicep

Lemmary turns scans, PDFs, and office files into an organized library you can search, review, and research in plain language.

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• Updated Nov 11, 2026
• Go

ReadingBank: A Benchmark Dataset for Reading Order Detection

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• Updated Sep 21, 2026

Open-source, self-hosted OSINT investigation platform: turn documents into a live, investigated entity graph. Autonomous agent, graph analytics (centrality, communities, pathfinding), keyless-first tool belt.

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• Updated Oct 22, 2026
• Python

Question answering over financial filings (10-K/10-Q, investor decks) with cited answers: hybrid dense+BM25 retrieval, reranking, chart extraction, and an AST-sandboxed calculator. FastAPI, CLI, Helm.

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• Updated Nov 12, 2026
• Python

Self-hosted AI governance, document intelligence, RAG, privacy and auditable decision evidence — with local-first deployment and optional Full Rizzo PII detection.

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• Updated Aug 19, 2026
• Python

XLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, and token-counted chunks. Open-source Python library (MIT).

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• Updated Sep 2, 2026
• Python

The Doc Intelligence in-a-Box project leverages Azure AI Document Intelligence to extract data from PDF forms and store the data in a Azure Cosmos DB. This solution, part of the AI-in-a-Box framework by Microsoft Customer Engineers and Architects, ensures quality, efficiency, and rapid deployment of AI and ML solutions across various industries.

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• Updated Mar 27, 2026
• Bicep

Course Website

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• Updated Jun 5, 2026
• Jupyter Notebook