Chitrantaran: Web-based Platform to Enhance the Document Digitization Process Using OCR and Machine Translation

This paper introduces an advanced web application designed to significantly improve document digitization workflows through concurrent Optical Character Recognition (OCR) processing and intuitive user interaction. All of these are seamlessly integrated within a modular system architecture that incorporates multiple microservices. The application uniquely incorporates batch OCR processing with real-time editing capabilities, thumbnail-based navigation, sentence splitting for enhanced text clarity, and comprehensive language translation functionalities via NMT. The Character Error Rate (CER) achieved by the OCR for each language (Bangla, Gurumukhi, Hindi, Kannada, Malayalam, Marathi, and Tamil) falls within the range of 0.15% to 1.95%. The BLEU score for NMT ranges from 17.88 to 35.44 on the FLORES benchmark set. This paper explains the architecture, workflow, and performance of the web application, highlighting its contributions to document management and accessibility.