PDFDataExtractor

PDFDataExtractor is a toolkit for automatically extracting semantic information from PDF files of scientific articles, which features a template-based architecture with abilities to extract information from the following publishers, and more templates are currently under development:

  • Elsevier
  • Royal Society of Chemistry
  • Advanced Material Families (Wiley)
  • Angewandte
  • Chemistry A European Journal
  • American Chemistry Society
  • Springer (Temporarily unavailable)

This guide provides a quick tour through PDFDataExtractor concepts and functionalities.

Features

  • Extract metadata information from scientific PDFs, including: title, author, abstract, journal name, journal year, journal volume, journal page number, doi, keywords, figure captions, section titles, heading, page number and references
  • Chemistry-aware PDF information extraction
  • Outputs PDF articles in plain text, JSON
  • Extract articles from main stream chemistry and physics publishers with high precision
  • Automated publisher detection

Developing Features

  • Web services for a more user friendly experience

  • Supports for more publishers

Citing

PDFDataExtractor:

Zhu, M. and Cole, J., 2022. PDFDataExtractor: A Tool for Reading Scientific Text and Interpreting Metadata from the Typeset Literature in the Portable Document Format. Journal of Chemical Information and Modeling, 62(7), pp.1633-1643.

This project was financially supported by the Science and Technology Facilities Council (STFC), the Royal Academy of Engineering (RCSRF1819710), and BASF.