Multilingual Translator

Example Use Cases

• 1

  Real-time multilingual translation with voice input and audio output.

• 2

  A clean, responsive UI for conversational translation across 20+ languages.

• 3

  A stable backend API to handle speech-to-text, translation, and text-to-speech synthesis.

Description

Multilingual Translator enables users to speak or type in one language and receive instant translations in another language, optionally with audio playback. It supports over 20 languages and features a clean Streamlit frontend with a Flask backend that handles speech-to-text, translation, and text-to-speech synthesis using OpenAI's models. The architecture separates frontend and backend for stability, scalability, and ease of integration with other clients.