Docling Technical Report
<|reference_start|>Docling Technical Report: This technical report introduces Docling, an easy to use, self-contained, MIT-licensed open-source package for PDF document conversion. It is powered by state-of-the-art specialized AI models for layout analysis (DocLayNet) and table structure recognition (TableFormer), and runs efficiently on commodity hardware in a small resource budget. The code interface allows for easy extensibility and addition of new features and models.<|reference_end|>
@article{auer2024docling,
    title={Docling Technical Report},
    author={Christoph Auer, Maksym Lysak, Ahmed Nassar, Michele Dolfi, Nikolaos
  Livathinos, Panos Vagenas, Cesar Berrospi Ramis, Matteo Omenetti, Fabian
  Lindlbauer, Kasper Dinkla, Lokesh Mishra, Yusik Kim, Shubham Gupta, Rafael
  Teixeira de Lima, Valery Weber, Lucas Morin, Ingmar Meijer, Viktor
  Kuropiatnyk, Peter W. J. Staar},
    journal={arXiv preprint arXiv:2408.09869},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.09869},
    primaryClass={cs.CL cs.CV cs.SE}
}