Google Translate adds AI-powered live conversation and language learning tools
Google Translate has introduced AI-powered live translation and personalized language-learning tools. Users can now hold real-time conversations in more than 70 languages and practice speaking or listening with tailored scenarios, with the features rolling out on Android and iOS.
Published Date - 28 August 2025, 01:07 PM
Hyderabad: Google has rolled out new AI-powered features in its Translate app, enabling real-time multilingual conversations and personalized language learning. The updates are powered by Gemini models, which enhance reasoning, multimodal translation, and speech recognition capabilities.
Live conversations in real time
Users can now engage in back-and-forth conversations with audio and on-screen translations in over 70 languages, including Arabic, French, Hindi, Korean, Spanish, and Tamil. The app intelligently switches between languages, recognizing conversational pauses, accents, and intonations to create a natural flow.
The feature, available on Android and iOS, uses advanced speech recognition models designed to isolate sounds in noisy environments such as airports and cafes. The live translate experience is rolling out first to users in the U.S., India, and Mexico.
Language practice with AI
Translate is also piloting customized language-learning tools that focus on listening and speaking practice. Users can set goals and skill levels, and the app will generate tailored scenarios — from beginner dialogues to advanced vocabulary practice for travel.
Exercises allow learners to listen and tap words for comprehension or practice speaking with real-time feedback. Developed with input from learning experts, the feature tracks daily progress to help build conversational confidence. Initially, the beta is available for English speakers learning Spanish and French, and for Spanish, French, and Portuguese speakers learning English.
Google said these innovations reflect ongoing AI advancements in translation, enabling improved quality, multimodal support, and text-to-speech performance. The company aims to move beyond basic word translations toward natural communication and language acquisition.