Extraction of User-Defined Information from PDF
Exporting selected textual data from PDF formats is a challenging task due to the diverse structures of these documents. This project introduces a tool for efficient extraction of user-defined textual data from PDF documents using PyMuPDF. The system is specifically designed to handle text-based content, ensuring precision and speed for researchers, analysts, and professionals. The tool does not focus on handling non-textual elements or diverse PDF layouts, making it a streamlined solution for text-based PDF processing.
Authors
- Asif Farooq
- Noor Fatima (ORCID: https://orcid.org/0009-0007-7001-0481)
- Asma Irshad (ORCID: https://orcid.org/0000-0002-0594-5877)
- Tahir Iqbal (ORCID: https://orcid.org/0000-0001-7944-4859)
- Rohaan Nadeem
- Junaid Altaf
Institutions
- University of the Punjab (PK)
- Bahria University (PK)
Publication Details
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1109/dasa63652.2024.10836169
- Citations
- 5
- Primary Topic
- Web Data Mining and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.90