Science Score: 77.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
2 of 113 committers (1.8%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.3%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Get your documents ready for gen AI
Basic Info
- Host: GitHub
- Owner: docling-project
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://docling-project.github.io/docling
- Size: 132 MB
Statistics
- Stars: 37,086
- Watchers: 161
- Forks: 2,565
- Open Issues: 522
- Releases: 120
Topics
Metadata Files
README.md
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 incl. PDF, DOCX, PPTX, XLSX, HTML, WAV, MP3, images (PNG, TIFF, JPEG, ...), 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, DocTags 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)
- 🎙️ Support for Audio with Automatic Speech Recognition (ASR) models
- 💻 Simple and convenient CLI
Coming soon
- 📝 Metadata extraction, including title, authors, references & language
- 📝 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 are available in the docs.
Getting started
To convert individual documents with python, 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.exporttomarkdown()) # output: "## Docling Technical Report[...]" ```
More advanced usage options are available in the docs.
CLI
Docling has a built-in CLI to run conversions.
bash
docling https://arxiv.org/pdf/2206.01062
You can also use 🥚SmolDocling and other VLMs via Docling CLI:
bash
docling --pipeline vlm --vlm-model smoldocling https://arxiv.org/pdf/2206.01062
This will use MLX acceleration on supported Apple Silicon hardware.
Read more here
Documentation
Check out Docling's documentation, for details on installation, usage, concepts, recipes, extensions, and more.
Examples
Go hands-on with our 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 with popular frameworks and tools.
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:
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.
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.
Owner
- Name: Docling Project
- Login: docling-project
- Kind: organization
- Location: Switzerland
- Repositories: 1
- Profile: https://github.com/docling-project
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Docling
message: 'If you use Docling, please consider citing as below.'
type: software
authors:
- name: Docling Team
identifiers:
- type: url
value: 'https://arxiv.org/abs/2408.09869'
description: 'arXiv:2408.09869'
repository-code: 'https://github.com/docling-project/docling'
license: MIT
Committers
Last synced: 4 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Michele Dolfi | 9****m | 140 |
| github-actions[bot] | g****] | 119 |
| Panos Vagenas | 3****s | 81 |
| Christoph Auer | 6****t | 62 |
| Cesar Berrospi Ramis | 7****m | 34 |
| Maxim Lysak | 1****c | 31 |
| Peter W. J. Staar | 9****M | 23 |
| Nikos Livathinos | 1****s | 12 |
| Rafael Teixeira de Lima | R****a@g****m | 6 |
| Copilot | 1****t | 4 |
| Farzad Sunavala | 4****8 | 4 |
| Matteo | 4****i | 4 |
| AndrewTsai0406 | 3****6 | 3 |
| Clément Doumouro | c****o@g****m | 3 |
| Shkarupa Alex | s****x@g****m | 3 |
| geoHeil | 1****l | 3 |
| Qiefan Jiang | c****n@q****m | 2 |
| krrome | r****h@g****m | 2 |
| Maroun Touma | t****a@u****m | 2 |
| nkh0472 | 6****2 | 2 |
| Václav Vančura | v****a | 2 |
| VIktor Kuropiantnyk | 1****m | 2 |
| Said Gürbüz | 5****z | 2 |
| Gaspard Petit | g****t@g****m | 2 |
| Eugene | f****d@g****m | 2 |
| DavidLee | y****i@f****m | 2 |
| Suehtam | 8****s | 1 |
| Eric Deandrea | e****c@e****v | 1 |
| Fabiano Franz | f****z@r****m | 1 |
| Fasal Shah | f****8@g****m | 1 |
| and 83 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 552
- Total pull requests: 459
- Average time to close issues: 23 days
- Average time to close pull requests: 6 days
- Total issue authors: 389
- Total pull request authors: 101
- Average comments per issue: 0.85
- Average comments per pull request: 2.15
- Merged pull requests: 296
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 552
- Pull requests: 414
- Average time to close issues: 23 days
- Average time to close pull requests: 7 days
- Issue authors: 389
- Pull request authors: 100
- Average comments per issue: 0.85
- Average comments per pull request: 2.38
- Merged pull requests: 251
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- vagenas (14)
- divekarsc (12)
- madmaxtwentytwo (10)
- dolfim-ibm (10)
- Fogapod (7)
- LuRe97 (6)
- geoHeil (6)
- ceberam (5)
- vishaldasnewtide (5)
- jehlum11 (5)
- simonschoe (5)
- major (5)
- TheMrguiller (4)
- harinisri2001 (4)
- NikhilVerma (4)
Pull Request Authors
- dolfim-ibm (96)
- vagenas (45)
- cau-git (35)
- ceberam (25)
- PeterStaar-IBM (22)
- maxmnemonic (17)
- rateixei (10)
- AndrewTsai0406 (10)
- MoheyEl-DinBadr (7)
- nikos-livathinos (6)
- ClemDoum (5)
- felixdittrich92 (4)
- nkh0472 (4)
- Nikhil200030 (4)
- rafaeltuelho (4)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
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Total downloads:
- pypi 961,546 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 245
- Total maintainers: 2
proxy.golang.org: github.com/docling-project/docling
- Documentation: https://pkg.go.dev/github.com/docling-project/docling#section-documentation
- License: mit
-
Latest release: v2.50.0+incompatible
published 4 months ago
Rankings
pypi.org: docling-enhanced
SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.
- Homepage: https://github.com/docling-project/docling
- Documentation: https://docling-enhanced.readthedocs.io/
- License: MIT
-
Latest release: 2.32.0
published 8 months ago
Rankings
Maintainers (1)
pypi.org: docling
SDK and CLI for parsing PDF, DOCX, HTML, and more, to a unified document representation for powering downstream workflows such as gen AI applications.
- Documentation: https://docling.readthedocs.io/
- License: mit
-
Latest release: 2.50.0
published 4 months ago
Rankings
Maintainers (1)
Dependencies
- actions/setup-python v4 composite
- ./.github/actions/setup-poetry * composite
- actions/checkout v3 composite
- ./.github/actions/setup-poetry * composite
- actions/checkout v3 composite
- ./.github/actions/setup-poetry * composite
- actions/checkout v3 composite
- python 3.11-slim-bookworm build
- 201 dependencies
- black ^24.4.2 develop
- flake8 ^6.0.0 develop
- flake8-pyproject ^1.2.3 develop
- isort ^5.10.1 develop
- mypy ^1.10.1 develop
- pre-commit ^3.7.1 develop
- pylint ^2.17.5 develop
- pyproject-flake8 ^6.0.0 develop
- pytest ^7.2.2 develop
- pytest-xdist ^3.3.1 develop
- python-semantic-release ^7.32.2 develop
- types-requests ^2.31.0.2 develop
- certifi >=2024.7.4
- deepsearch-glm >=0.19.0,<1
- docling-core ^1.1.2
- docling-ibm-models ^1.1.0
- docling-parse ^0.0.1
- easyocr ^1.7
- filetype ^1.2.0
- huggingface_hub >=0.23,<1
- pydantic ^2.0.0
- pydantic-settings ^2.3.0
- pypdfium2 ^4.30.0
- python ^3.10
- requests ^2.32.3