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* updated README Signed-off-by: Peter Staar <taa@zurich.ibm.com> * removed duck in title Signed-off-by: Peter Staar <taa@zurich.ibm.com> * updated the index.md Signed-off-by: Peter Staar <taa@zurich.ibm.com> * updated the cli to export html Signed-off-by: Peter Staar <taa@zurich.ibm.com> * added html to cli Signed-off-by: Peter Staar <taa@zurich.ibm.com> * reformatted the code Signed-off-by: Peter Staar <taa@zurich.ibm.com> * removed the duck emoji, added the in the cli. Currently, the referenced seems broken Signed-off-by: Peter Staar <taa@zurich.ibm.com> * cleaning up the comments Signed-off-by: Peter Staar <taa@zurich.ibm.com> * reference is now working Signed-off-by: Peter Staar <taa@zurich.ibm.com> * Clean up styling and docs Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * Pin docling-core>=2.7.1 Signed-off-by: Christoph Auer <cau@zurich.ibm.com> --------- Signed-off-by: Peter Staar <taa@zurich.ibm.com> Signed-off-by: Christoph Auer <cau@zurich.ibm.com> Co-authored-by: Christoph Auer <cau@zurich.ibm.com>
37 lines
2.4 KiB
Markdown
37 lines
2.4 KiB
Markdown
<p align="center">
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<img loading="lazy" alt="Docling" src="assets/docling_processing.png" width="100%" />
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<a href="https://trendshift.io/repositories/12132" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12132" alt="DS4SD%2Fdocling | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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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://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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[](https://pepy.tech/projects/docling)
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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, XLSX, Images, HTML, AsciiDoc & Markdown) and exports to HTML, Markdown and JSON (with embedded and referenced images)
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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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* 🤖 Easy integration with 🦙 LlamaIndex & 🦜🔗 LangChain 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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### Coming soon
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* ♾️ Equation & code extraction
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* 📝 Metadata extraction, including title, authors, references & language
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* 🦜🔗 Native LangChain extension
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## IBM ❤️ Open Source AI
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Docling has been brought to you by IBM.
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