Google has announced new updates to its Translate app, leveraging advanced AI models to improve real-time communication and language learning tools.
These updates are driven by recent advancements in AI and machine learning, particularly the Gemini models, which enhance translation quality, multimodal understanding, and speech synthesis.
The most notable addition is the ability to conduct live, two-way conversations in over 70 languages. Using the Translate app’s (available for Android, iOS and iPadOS) new voice recognition and reasoning capabilities powered by Google’s Gemini models, users can choose their languages and speak naturally while the app provides spoken translations and on-screen transcripts. The feature intelligently detects conversational cues, pauses, accents, and intonations, enabling more fluid interactions even in noisy environments such as airports or busy cafes.
In addition, Google’s also testing a new language practice feature designed to support users in developing conversational skills. Users can set their language goals and proficiency levels, then engage in customized listening and speaking exercises. These scenarios are generated dynamically and adapt to individual skill levels, with prompts and hints available to aid learning.
By integrating these capabilities, they aim to facilitate more natural, accurate, and context-aware language interactions.
The new features are available on Google Translate starting today for users in the U.S., India, and Mexico, with broader rollout around the world planned for the coming months.
Learn more about Google Translate’s latest AI and language learning updates in the official blog post here.
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