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
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Real-time multilingual speech recognition with a truly unified speech recognition system
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Supports code-switching between 10 languages:
- English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch
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Seamlessly handles natural language transitions without relying on explicit routing or language-specific mechanisms
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Maintains high transcription accuracy across languages while adapting to natural language transitions
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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=multiin 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.