Zipstack/unstract
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LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
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…
Excerpted from github.com/Zipstack/unstract
Latest metrics
| Stars | 6.7k | 2026-07-16 |
|---|---|---|
| Forks | 632 | 2026-07-16 |
| Commits | 1.7k | 2026-07-16 |
| Releases | 569 | 2026-07-16 |
| Watchers | 43 | 2026-07-16 |
| Open issues | 36 | 2026-07-16 |
| Open PRs | 43 | 2026-07-16 |