https://github.com/ds4sd/docling
Get your documents ready for gen AI
https://github.com/ds4sd/docling
ai convert document-parser document-parsing documents docx html markdown pdf pdf-converter pdf-to-json pdf-to-text pptx tables xlsx
Last synced: 3 months ago
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Get your documents ready for gen AI
- Host: GitHub
- URL: https://github.com/ds4sd/docling
- Owner: DS4SD
- License: mit
- Created: 2024-07-09T07:50:26.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-02-28T17:07:28.000Z (4 months ago)
- Last Synced: 2025-03-01T13:02:53.469Z (4 months ago)
- Topics: ai, convert, document-parser, document-parsing, documents, docx, html, markdown, pdf, pdf-converter, pdf-to-json, pdf-to-text, pptx, tables, xlsx
- Language: Python
- Homepage: https://ds4sd.github.io/docling
- Size: 54.9 MB
- Stars: 23,055
- Watchers: 95
- Forks: 1,330
- Open Issues: 180
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: .github/SECURITY.md
- Support: docs/supported_formats.md
Awesome Lists containing this project
README
# Docling
[](https://arxiv.org/abs/2408.09869)
[](https://ds4sd.github.io/docling/)
[](https://pypi.org/project/docling/)
[](https://pypi.org/project/docling/)
[](https://python-poetry.org/)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
[](https://pydantic.dev)
[](https://github.com/pre-commit/pre-commit)
[](https://opensource.org/licenses/MIT)
[](https://pepy.tech/projects/docling)
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][supported_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][docling_document] representation format
* ↪️ Various [export formats][supported_formats] and options, including Markdown, HTML, and lossless JSON
* 🔒 Local execution capabilities for sensitive data and air-gapped environments
* 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
* 🔍 Extensive OCR support for scanned PDFs and images
* 💻 Simple and convenient CLI
### Coming soon
* 📝 Metadata extraction, including title, authors, references & language
* 📝 Inclusion of Visual Language Models ([SmolDocling](https://huggingface.co/blog/smolervlm#smoldocling))
* 📝 Chart understanding (Barchart, Piechart, LinePlot, etc)
* 📝 Complex chemistry understanding (Molecular structures)
## Installation
To use Docling, simply install `docling` from your package manager, e.g. pip:
```bash
pip install docling
```
Works on macOS, Linux and Windows environments. Both x86_64 and arm64 architectures.
More [detailed installation instructions](https://ds4sd.github.io/docling/installation/) are available in the docs.
## Getting started
To convert individual documents, use `convert()`, for example:
```python
from docling.document_converter import DocumentConverter
source = "https://arxiv.org/pdf/2408.09869" # document per local path or URL
converter = DocumentConverter()
result = converter.convert(source)
print(result.document.export_to_markdown()) # output: "## Docling Technical Report[...]"
```
More [advanced usage options](https://ds4sd.github.io/docling/usage/) are available in
the docs.
## Documentation
Check out Docling's [documentation](https://ds4sd.github.io/docling/), for details on
installation, usage, concepts, recipes, extensions, and more.
## Examples
Go hands-on with our [examples](https://ds4sd.github.io/docling/examples/),
demonstrating how to address different application use cases with Docling.
## Integrations
To further accelerate your AI application development, check out Docling's native
[integrations](https://ds4sd.github.io/docling/integrations/) with popular frameworks
and tools.
## Get help and support
Please feel free to connect with us using the [discussion section](https://github.com/DS4SD/docling/discussions).
## Technical report
For more details on Docling's inner workings, check out the [Docling Technical Report](https://arxiv.org/abs/2408.09869).
## Contributing
Please read [Contributing to Docling](https://github.com/DS4SD/docling/blob/main/CONTRIBUTING.md) for details.
## References
If you use Docling in your projects, please consider citing the following:
```bib
@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.
## IBM ❤️ Open Source AI
Docling has been brought to you by IBM.
[supported_formats]: https://ds4sd.github.io/docling/usage/supported_formats/
[docling_document]: https://ds4sd.github.io/docling/concepts/docling_document/
[integrations]: https://ds4sd.github.io/docling/integrations/