docling

docling

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Docling is a tool that bundles PDF document conversion to JSON and Markdown in an easy, self-contained package. It can convert any PDF document to JSON or Markdown format, understand detailed page layout, reading order, recover table structures, extract metadata such as title, authors, references, and language, and optionally apply OCR for scanned PDFs. The tool is designed to be stable, lightning fast, and suitable for macOS and Linux environments.

README:

Docling

Docling

arXiv Docs PyPI version Python Poetry Code style: black Imports: isort Pydantic v2 pre-commit License MIT

Docling parses documents and exports them to the desired format with ease and speed.

Features

  • πŸ—‚οΈ Multi-format support for input (PDF, DOCX etc.) & output (Markdown, JSON etc.)
  • πŸ“‘ Advanced PDF document understanding incl. page layout, reading order & table structures
  • πŸ“ Metadata extraction, including title, authors, references & language
  • πŸ€– Seamless LlamaIndex πŸ¦™ & LangChain πŸ¦œπŸ”— integration for powerful RAG / QA applications
  • πŸ” OCR support for scanned PDFs
  • πŸ’» Simple and convenient CLI

Explore the documentation to discover plenty examples and unlock the full power of Docling!

Installation

To use Docling, simply install docling from your package manager, e.g. pip:

pip install docling

Works on macOS, Linux and Windows environments. Both x86_64 and arm64 architectures.

More detailed installation instructions are available in the docs.

Getting started

To convert invidual documents, use convert(), for example:

from docling.document_converter import DocumentConverter

source = "https://arxiv.org/pdf/2408.09869"  # PDF path or URL
converter = DocumentConverter()
result = converter.convert(source)
print(result.document.export_to_markdown())  # output: "## Docling Technical Report[...]"
print(result.document.export_to_document_tokens())  # output: "<document><title><page_1><loc_20>..."

Check out Getting started. You will find lots of tuning options to leverage all the advanced capabilities.

Get help and support

Please feel free to connect with us using the discussion section.

Technical report

For more details on Docling's inner workings, check out the Docling Technical Report.

Contributing

Please read Contributing to Docling for details.

References

If you use Docling in your projects, please consider citing the following:

@techreport{Docling,
  author = {Deep Search Team},
  month = {8},
  title = {Docling Technical Report},
  url = {https://arxiv.org/abs/2408.09869},
  eprint = {2408.09869},
  doi = {10.48550/arXiv.2408.09869},
  version = {1.0.0},
  year = {2024}
}

License

The Docling codebase is under MIT license. For individual model usage, please refer to the model licenses found in the original packages.

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