Reconstructing Paragraph Structure in Extracted PDF Text Using a Java-Based Analytical Approach

Abstract

PDF documents are widely used for their consistent visual presentation across platforms, yet extracting meaningful, structured text from them remains a challenging task. Traditional PDF text extractors often ignore or misrepresent paragraph structure, yielding fragmented lines rather than coherent blocks of content. This article introduces a Java-based solution designed to extract text from PDF files and intelligently reconstruct the original paragraph structure. Using geometric, spatial, and semantic analysis, the program successfully overcomes the limitations of flat text extraction and demonstrates high accuracy across diverse document formats. The development process, underlying methodology, and applications in document digitization and natural language processing are thoroughly discussed.