Docling parses PDFs, DOCX, PPTX and images into structured representations with layout, tables and reading order, designed to plug straight into RAG frameworks.
| Category | Document AI & OCR |
| Type | Document parsing toolkit |
| License | MIT |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Intermediate |
| Best for | teams building document pipelines for RAG |
Other open-source document ai & ocr tools worth comparing:
MarkerConvert PDFs to clean Markdown fast
SuryaModern OCR with layout detection
PaddleOCRIndustrial OCR with tiny models
UnstructuredTurn any file into LLM-ready data
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 engineDocling is free and open-source (MIT license), so you can use, self-host and modify it at no cost.
Yes. Docling is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include Marker, Surya, PaddleOCR. See the comparisons above to choose.
Browse the full directory of open-source AI tools, models and projects — updated daily.
Browse all tools →