appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit

October 02, 2023 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Atsuki Yamaguchi, Terufumi Morishita arXiv ID 2310.01206 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 1 Venue arXiv.org Last Checked 6 months ago
Abstract
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.
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