docker pull downloads.unstructured.io/unstructured-io/unstructured:latest
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Unstructured extracts and normalizes content from PDFs, HTML, Word, emails and more into clean elements ready for embedding and RAG ingestion.
| Category | Document AI & OCR |
| Type | ETL for documents |
| License | Apache-2.0 |
| Runs locally | Self-hosted |
| Built with | Python |
| Skill level | Intermediate |
| Best for | teams ingesting many file types into one pipeline |
Other open-source document ai & ocr tools worth comparing:
MarkerConvert PDFs to clean Markdown fast
DoclingIBM-grade document understanding
SuryaModern OCR with layout detection
PaddleOCRIndustrial OCR with tiny models
FirecrawlTurn websites into LLM-ready Markdown
Crawl4AIOpen-source LLM-friendly crawler
olmOCRTurn PDFs into clean training-grade text
MinerUPDF to Markdown with formulas and tables
TesseractThe classic OCR engineUnstructured is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. Unstructured is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include Marker, Docling, Surya. See the comparisons above to choose.
Browse the full directory of open-source AI tools, models and projects — updated daily.
Browse all tools →