94a5290789
--------- Signed-off-by: Peter Staar <taa@zurich.ibm.com> Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> Signed-off-by: Christoph Auer <cau@zurich.ibm.com> Co-authored-by: Michele Dolfi <dol@zurich.ibm.com> Co-authored-by: Christoph Auer <cau@zurich.ibm.com>
29 lines
1.8 KiB
Markdown
29 lines
1.8 KiB
Markdown
# Docling
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<p align="center">
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<img loading="lazy" alt="Docling" src="assets/docling_processing.png" width="100%" />
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</p>
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[](https://arxiv.org/abs/2408.09869)
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[](https://pypi.org/project/docling/)
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[](https://python-poetry.org/)
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[](https://github.com/psf/black)
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[](https://pycqa.github.io/isort/)
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[](https://pydantic.dev)
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[](https://github.com/pre-commit/pre-commit)
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[](https://opensource.org/licenses/MIT)
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Docling parses documents and exports them to the desired format with ease and speed.
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## Features
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* 🗂️ Reads popular document formats (PDF, DOCX, PPTX, Images, HTML, AsciiDoc, Markdown) and exports to Markdown and JSON
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* 📑 Advanced PDF document understanding incl. page layout, reading order & table structures
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* 🧩 Unified, expressive [DoclingDocument](./concepts/docling_document.md) representation format
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* 📝 Metadata extraction, including title, authors, references & language
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* 🤖 Seamless LlamaIndex 🦙 & LangChain 🦜🔗 integration for powerful RAG / QA applications
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* 🔍 OCR support for scanned PDFs
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* 💻 Simple and convenient CLI
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