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
This guide provides a quick tour through PDFDataExtractor concepts and functionalities.
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| Extract metadata information from scientific PDFs, including: title, anthor, abstract, journal name, journal year, journal volume, journal page number, doi, keywords, figure captions, section titles, heading, page number and references
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| Chemistry-aware PDF information extraction
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| Outputs PDF articles in plain text, JSON
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| Extract articles from six main stream chemistry and physics publishers with high precision
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| Automated publisher detection
- Web services for a more user friendly experience
- Supports for more publishers
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 (RCSRF1819\7\10), and BASF.