A Comprehensive Study on Text Detection and Extraction from Images and PDF Documents

Author(s)	Mayank Deshmukh, Saloni Rabde, Priyanka Makode, Sourabh Jasuja, Prof. Bhavesh Khasdev
Country	India
Abstract	The growing need for digitization and intelligent document processing has led to significant advancements in text detection and extraction technologies. This paper reviews methodologies and tools employed for extracting textual information from images and Portable Document Format (PDF) files. Both traditional Optical Character Recognition (OCR) techniques and modern deep learning-based approaches are discussed. Five major research contributions in this area are analyzed in detail. The paper further explores challenges in handling complex document layouts, multilingual text, and low-quality images, and highlights research gaps and future directions that emphasize the potential of artificial intelligence and multimodal learning to enhance text extraction accuracy and efficiency.
Keywords	OCR, Text Extraction, Deep Learning, Layout LM, Scene Text Detection, Document Analysis.
Field	Engineering
Published In	Volume 17, Issue 4, April 2026
Published On	2026-04-03
Cite This	A Comprehensive Study on Text Detection and Extraction from Images and PDF Documents - Mayank Deshmukh, Saloni Rabde, Priyanka Makode, Sourabh Jasuja, Prof. Bhavesh Khasdev - IJTAS Volume 17, Issue 4, April 2026.

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