We present appjsonify, a Python-based PDF-to-JSON conversion toolkit for academic papers. It parses a PDF file using several visual-based document layout analysis models and rule-based text processing approaches. appjsonify is a flexible tool that allows users to easily configure the processing pipeline to handle a specific format of a paper they wish to process. We are publicly releasing appjsonify as an easy-to-install toolkit available via PyPI and GitHub.
Cite
@article{arxiv.2310.01206,
title = {appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit},
author = {Atsuki Yamaguchi and Terufumi Morishita},
journal= {arXiv preprint arXiv:2310.01206},
year = {2023}
}
Comments
Preprint. PyPI: https://pypi.org/project/appjsonify/ GitHub: https://pypi.org/project/appjsonify/. Fixed Figure 1 containing paper PDF examples