bdura / edspdf

EDS-PDF is a generic, pure-Python framework for text extraction from PDF documents. It provides the machinery to use rule- or machine-learning-based approaches to classify text blocs between body and meta-data.

EDS-PDF

EDS-PDF provides modular framework to extract text from PDF documents.

You can use it out-of-the-box, or extend it to fit your use-case.

Getting started

Install the library with pip:

$ pip install edspdf

Visit the documentation for more information!

Citation

If you use EDS-PDF, please cite us as below.

@software{edspdf,
  author  = {Dura, Basile and Wajsburt, Perceval and Calliger, Alice and Gérardin, Christel and Bey, Romain},
  doi     = {10.5281/zenodo.6902977},
  license = {BSD-3-Clause},
  title   = {{EDS-PDF: Smart text extraction from PDF documents}},
  url     = {https://github.com/aphp/edspdf}
}

Acknowledgement

We would like to thank Assistance Publique – Hôpitaux de Paris and AP-HP Foundation for funding this project.