docling-models

Model Card

By Docling, published under cdla-permissive-2.0, revision 2199320848bb.

This page contains models that power the PDF document converion package docling. The layout model will take an image from a page and apply RT-DETR model in order to find different layout components. It currently detects the labels: Caption, Footnote, Formula, List-item, Page-footer, Page-header, Picture, Section-header, Table, Text, Title. As a reference (from the DocLayNet-paper), this is the performance of standard object detection methods on the DocLayNet dataset compared to human evaluation, The tableformer model will identify the structure of the table, starting from an image of a table. It uses the predicted table regions of the layout model to identify the tables. Tableformer has…

@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}
}

@article{doclaynet2022,
  title = {DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis},  
  doi = {10.1145/3534678.353904},
  url = {https://arxiv.org/abs/2206.01062},
  author = {Pfitzmann, Birgit and Auer, Christoph and Dolfi, Michele and Nassar, Ahmed S and Staar, Peter W J},
  year = {2022}
}

@InProceedings{TableFormer2022,
    author    = {Nassar, Ahmed and Livathinos, Nikolaos and Lysak, Maksym and Staar, Peter},
    title     = {TableFormer: Table Structure Understanding With Transformers},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {4614-4623},
    doi = {https://doi.org/10.1109/CVPR52688.2022.00457}
}

Identity and Version

Repository

docling-project/docling-models

Publisher

Docling

Task

Not stated by the source

Modality

Other

Library

transformers

Parameters

Not stated by the source

Languages

Not stated by the source

Revision

2199320848bb9a8a519d22e4b528185a4f9a6f64

First published

2024-07-02

Last updated

2025-12-03

Files and Weights

8 files, 358.2 MB in total. The weights are 2 files totalling 358.2 MB in safetensors.

License and Download

License

cdla-permissive-2.0

Access

Open weights, no gate

Download size

358.2 MB

Built From

• Described by arXiv:2206.01062
• Described by arXiv:2408.09869

Evaluations

Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical.

Memory Requirements

Weights only, from the published parameter count; the key-value cache and runtime add to this.