cdd401847a
* refactor with uv Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * constraints for onnxruntime Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * more constraints Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> --------- Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
3.9 KiB
Vendored
3.9 KiB
Vendored
Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
Features
- 🗂️ Parsing of multiple document formats incl. PDF, DOCX, XLSX, HTML, images, and more
- 📑 Advanced PDF understanding incl. page layout, reading order, table structure, code, formulas, image classification, and more
- 🧬 Unified, expressive DoclingDocument representation format
- ↪️ Various export formats and options, including Markdown, HTML, and lossless JSON
- 🔒 Local execution capabilities for sensitive data and air-gapped environments
- 🤖 Plug-and-play integrations incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
- 🔍 Extensive OCR support for scanned PDFs and images
- 🥚 Support of several Visual Language Models (SmolDocling) 🔥
- 💻 Simple and convenient CLI
Coming soon
- 📝 Metadata extraction, including title, authors, references & language
- 📝 Chart understanding (Barchart, Piechart, LinePlot, etc)
- 📝 Complex chemistry understanding (Molecular structures)
Get started
Concepts
Learn Docling fundamentals Examples
Try out recipes for various use cases, including conversion, RAG, and more Integrations
Check out integrations with popular frameworks and tools Reference
See more API details
Learn Docling fundamentals Examples
Try out recipes for various use cases, including conversion, RAG, and more Integrations
Check out integrations with popular frameworks and tools Reference
See more API details
LF AI & Data
Docling is hosted as a project in the LF AI & Data Foundation.
IBM ❤️ Open Source AI
The project was started by the AI for knowledge team at IBM Research Zurich.