Year: 2025
Type: article
Abstract: In an era where digitization is paramount, the ability to convert printed or handwritten text into machine-readable formats has become indispensable. Optical Character Recognition (OCR) has emerged as a groundbreaking technology that facilitates this transformation, enhancing accessibility, automation, and efficiency across multiple sectors. This research delves into the evolution of OCR, its underlying mechanisms, and its integration with cutting-edge AI-powered tools such as ML Kit. We analyze its application within mobile and cloud-based platforms, emphasizing real-time language detection, handwriting recognition, and predictive text analysis. Additionally, this paper examines the role of OCR in industries such as banking, healthcare, security, and research, highlighting its transformative impact on document processing and data retrieval. Finally, we discuss the future scope of OCR, including advancements in deep learning, real-time augmented reality (AR) text extraction, and blockchain-based data authentication.
Authors: Mahita Dabhade, Tisha Khatri, Jenil Mistry, Rajas Vartak
Institution: Thakur College of Engineering and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409194503