Zipstack / unstract
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Why this job: works in the areas we cover, but does not say which job it does
What it does
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.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 7,443
- +22 this week
- Licence
- AGPL-3.0
- Share-alike, even hosted
- Downloads for
- None listed
- No release files
- Latest version
- v0.203.0
- Released 6 days ago
- Built with
- Python
- 80% of the code
Is it looked after?
- Contributors
- 12
- Last 90 days
- Issues
- 51% closed
- 41 still open
- Pull requests
- 1,952 merged
- 83 waiting
- Releases
- 619
- 30+ in the last year
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More: languages, topics and project record
Languages
- Python 80%
- JavaScript 12%
- TypeScript 5%
- CSS 1%
Topics
- ai-agents
- data-engineering
- document-ai
- generative-ai
- idp
- json-extraction
- llm
- mcp-server
- ocr
- pdf-extraction
- prompt-engineering
- structured-output
Project record
- JobOther AI tools
- StatusListed
- Commits1,838
- Forks753
- Watching44
- Stars in 28 days+166
- CreatedFeb 21, 2024
- First seen by usNov 7, 2026
- CheckedNov 12, 2026