AI-DRIVEN OCR AND NLP FOR SECURE, COMPLIANT, AND AUDITABLE DOCUMENT PROCESSING IN REGULATED INDUSTRIES

AI-driven Optical Character Recognition (OCR) and Natural Language Processing (NLP) technologies are transformingdocument processing in regulated industries such as healthcare, finance, and government by enabling secure, compliant,and auditable workflows. This study explores an integrated framework that combines advanced OCR for accurate dataextraction with NLP techniques for semantic understanding, classification, and automated decision support. Theproposed system enhances operational efficiency while ensuring strict adherence to regulatory standards, data privacyrequirements, and auditability through encryption, access controls, and traceable processing logs. By leveragingmachine learning models and intelligent validation mechanisms, organizations can reduce manual errors, acceleratedocument handling, and maintain transparent compliance records. The research highlights implementation challenges,risk mitigation strategies, and the potential of AI-driven systems to support scalable, trustworthy document managementsolutions in highly regulated environments.