Extraction of User-Defined Information from PDF

Abstract

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

• Rohaan NadeemMeDepartment of Computer Sciences, Bahria University Lahore Campus, Lahore, Pakistan
• Tahir IqbalDepartment of Computer Sciences, Bahria University Lahore Campus, Lahore, PakistanLinkedIn
• Noor FatimaSoftware Development and Testing Engineering, Lahore, PakistanLinkedIn
• Junaid AltafGulab Devi Educational Complex, Lahore, PakistanLinkedIn
• Asma IrshadSchool of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan
• Asif FarooqDepartment of Computer Sciences, Bahria University Lahore Campus, Lahore, PakistanLinkedIn