This paper describes the creation of a real, time AI, based system for converting English audiovisual content into the Uzbek language with voice synthesis that is synchronized at the same time. The system combines Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), and Text, to, Speech (TTS) technologies. OpenAI Whisper, Google Translate API, and Tacotron2 were used to models to get the best output both in terms of accuracy and the naturalness of the voice. The system proposed gives an opportunity to the user to hear English video content in the Uzbek language with synchronized speech. It is a very effective solution for content localization, education, and media applications.