# unstract

> LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

## Facts
- **Category:** [Research & Data Agents](https://agentsearchengine.app/category/research-agents)
- **Type:** Platform
- **Pricing:** Open source
- **GitHub stars:** 7,110
- **Language:** Python
- **License:** AGPL-3.0
- **Last repo activity:** 1 day ago (Aug 2, 2026)
- **Official site:** https://unstract.com
- **Source code:** https://github.com/Zipstack/unstract
- **Listing on Agent Search Engine:** https://agentsearchengine.app/agents/unstract
- **Data verified:** July 2026

## About 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. Copy the value of ENCRYPTION_KEY from backend/.env or platform-service/.env to a secure location. Destinations: Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MariaDB, SQL Server, Oracle

_From the project's README._

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Source: [Agent Search Engine](https://agentsearchengine.app) — an independent, hand-curated index of AI agents, MCP servers, and frameworks. Rankings are never sold; sponsored placements are labeled and never numbered. Full directory: https://agentsearchengine.app/llms-full.txt