Abstract

In a country as linguistically diverse as India, the demand for localized video content is rapidly increasing. Dubbing English videos into Indian languages, such as Hindi, Tamil, Telugu, and Bengali, is critical to making content accessible to wider audiences. This paper presents a software solution that automates the dubbing process using a combination of technologies like Automatic Speech Recognition (ASR), Machine Translation (MT), andText-to-Speech (TTS). The process begins by converting English audio into text using ASR, followed by translation into the target Indian language through advanced Natural Language Processing (NLP) models. The translated text is then synthesized into natural-sounding speech using TTS engines like Google Text-to-Speech (gTTS). Finally, the dubbed audio is synchronized with the original video to ensure proper lip-sync and timing. This automated approach streamlines the dubbing process, reducing time and cost while maintaining translation accuracy, voice quality, and synchronization. The software offers an efficient solution for content creators, businesses, and educators looking to expand their reach across India’s multilingual population.