{"repo":"Zipstack/unstract","free":true,"listed":false,"github":"https://github.com/Zipstack/unstract","clone":"git clone https://github.com/Zipstack/unstract.git","description":"LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows","language":"Python","stars":7144,"topics":["ai-agents","data-engineering","document-ai","generative-ai","idp","json-extraction","llm","mcp-server","ocr","pdf-extraction"],"license":"AGPL-3.0","category":"ai-agents","readme_excerpt":"Unstract Turn Unstructured Documents into Structured Data Documentation Enterprise What is Unstract? Unstract uses LLMs to extract structured JSON from documents — PDFs, images, scans, you name it. Define what you want to extract using natural language prompts, and deploy as an API or ETL pipeline. Built for teams in finance , insurance , healthcare , KYC/compliance , and much more. Current State vs. Unstract Task Without Unstract With Unstract ------ ------------------ --------------- Schema definition Write regex, build templates per vendor Write a prompt once, handles variations New document type Days of development Minutes in Prompt Studio LLM integration Build your own pipeline Plug in any provider (OpenAI, Anthropic, Bedrock, Ollama) Deployment Custom infrastructure ./run-platform.sh or managed cloud Output Unstructured text blobs Clean JSON, ready for your database ⭐ If Unstract helps you, star this repo! ✨ Key Features Prompt Studio — Define document extraction schemas with natural language. Docs → API Deployment — Send a document over REST API, get JSON back. Docs → ETL Pipeline — Pull documents from a folder, process them, load to your warehouse. Docs → MCP Server — Connect to AI agents (Claude, etc.) via Model Context Protocol. Docs → n8n Node — Drop into existing automation workflows. Docs → 🚀 Quickstart ( 5 mins) System Requirements & Prerequisites - Linux or macOS (Intel or M-series) - Docker & Docker Compose - 8 GB RAM minimum - Git Run Locally That's it! - Vi","default_branch":null,"files":null,"tree":[],"storefront":"/r/Zipstack","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Zipstack/unstract/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}