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
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Abstract
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.
Works a treat, and quite happily accepts direct links to PDFs too, for example: llm -m claude-3.5-sonnet 'summarize this paper' -a https://arxiv.org/pdf/2408.09869
Works a treat, and quite happily accepts direct links to PDFs too, for example: llm -m claude-3.5-sonnet 'summarize this paper' -a https://arxiv.org/pdf/2408.09869
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