Gowtham Reddy Kunduru 01 01 A Secure OCRBased Text Analytics Framework for Automated Understanding of Banking and Financial Documents presents an intelligent system designed to digitize analyze and securely process complex financial records The framework integrates advanced Optical Character Recognition OCR with natural language processing and machine learning techniques to extract classify and interpret key information from banking documents such as invoices statements and loan forms A secure architecture is incorporated to ensure data privacy integrity and compliance with regulatory standards through encryption and controlled access mechanisms The system improves document processing speed reduces manual errors and enhances decisionmaking by providing structured searchable insights from unstructured financial text Experimental evaluation demonstrates high accuracy in text extraction and semantic understanding across diverse document formats This framework supports scalable deployment in financial institutions enabling efficient automation and secure handling of sensitive information while optimizing operational workflows and customer service Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026