REAL-TIME MULTILINGUAL TRANSLATION THROUGH IMAGE PROCESSING
Mrs. R. Pavitra · International Scientific Journal of Engineering and Management · 2025
ABSTRACT: This project introduces an intelligent translation system designed to bridge linguistic gaps by translating English text captured from images into multiple Indian languages. The system integrates Optical Character Recognition (OCR) for accurate text extraction and Neural Machine Translation (NMT) models to deliver precise translations in real time. It supports Telugu, Hindi, Tamil, Malayalam, and Kannada, catering specifically to Indian multilingual users. The web-based interface enables users to upload images, select a target language, and receive instant translation results. Tesseract OCR and translation APIs are used to ensure high accuracy and responsiveness. The system is tested across diverse image qualities and language outputs to validate its performance. Future improvements may include offline support, voice output integration, and expansion to additional languages. KEYWORDS: Multilingual Translation, OCR, NMT, Image Processing, Indian Languages, Real-Time Translation, Tesseract, Google Translate API, Deep Learning, Web Application.