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unstract

Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

Not ranked
Observed adoptionMissing
MomentumCurrent · 2026-09-12
16
AttentionCurrent · 2026-09-12
25
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

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.

⭐ If Unstract helps you, star this repo! >

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…

Across sources

7.2k Stars
  • Stars 7.2k
  • Forks 715
  • Commits 1.7k
  • Releases 585