Advanced International Journal for Research

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AI Video Translation using Lip Synchronization

Author(s) Mrs. Ketakee Ghawade, Darshana Menghare, Tejaswini Samrit, Om Padgilwar, Param Chauragade
Country India
Abstract As digital content continues to grow around the world, language differences still make it hard for people to communicate effectively in video calls.
This project introduces an AI-based video translation system that automatically matches the translated audio with the speaker's facial movements.This allows videos to be translated into several languages while keeping the speaker's expressions natural. The system first turns spoken words into text using speech recognition technology. Then, it uses neural machine translation to convert the text into the desired language. After that, text-to-speech technology creates the translated audio. A separate lip-syncing model ensures that the audio matches the speaker's mouth movements, making the results look and sound realistic. This solution helps make videos more accessible, improves how people interact with content, and supports communication across different languages in areas like education, entertainment, and business. Tests show that the system gives accurate translations and smooth video outputs, cutting down the need for manual voice-over work. This method shows how AI can improve communication in videos and help people from different language backgrounds understand and enjoy content better.
Keywords Artificial Intelligence, Video Translation, Lip-Syncing, Speech Recognition, Neural Machine Translation
Published In Volume 7, Issue 2, March-April 2026
Published On 2026-04-24
DOI https://doi.org/10.63363/aijfr.2026.v07i02.5192
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