Deepgram is proud to announce the general availability of Nova-3 Multilingual, the first model of its kind able to codeswitch in real-time across 10 different languages. This revolutionary capability unlocks a host of new possibilities for global operations by processing multilingual conversations instantly with a single model—an industry-first breakthrough that changes the game for speech recognition.
Multilingual Support
Real-time multilingual speech recognition with a truly unified speech recognition system
Supports code-switching between 10 languages:
English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch
Seamlessly handles natural language transitions without relying on explicit routing or language-specific mechanisms
Maintains high transcription accuracy across languages while adapting to natural language transitions
Developed through a multi-stage training process combining synthetic code-switched data at massive scale with carefully curated real-world datasets
Use Cases
Nova-3 Multilingual represents a significant breakthrough for applications in:
Global customer support
Emergency response (e.g., 911 calls)
Multilingual meetings
Retail interactions
Healthcare settings
In high-stakes scenarios like emergency response, Nova-3 can fluidly process interactions where callers switch between languages (e.g., Spanish and English) in real time, ensuring dispatchers receive accurate, immediate transcriptions without missing critical details.
Availability
Now available through our API
Use model=nova-3&language=multi in your API calls
Supports both pre-recorded and real-time streaming transcription
Available for hosted and self-hosted use
For detailed information about Nova-3 Multilingual, please refer to our Developer Documentation.