Now Available: Deepgram Aura’s Websocket Interface for Faster Text to Speech Input Streaming

Deepgram has introduced a WebSocket interface for its Aura text-to-speech API, designed to reduce latency in real-time conversational AI systems such as customer-service bots, sales assistants, and booking agents. The interface accepts partial text and tokens directly from any large language model, removing the need for developers to wait for complete sentences or implement their own text chunking logic, while enabling immediate interruption handling and support for more than 40 concurrent connections. Deepgram reports that token-by-token streaming can reduce LLM-to-TTS latency by 70% or more versus its REST API for typical conversations, with larger gains for longer responses, and claims Aura’s WebSocket API produces speech three times faster than ElevenLabs Turbo v2.5 in its GPT-4o-based benchmark. The company emphasizes straightforward integration, support for all Aura voices, and resources including documentation and a Twilio streaming example for developers building end-to-end voice agents.

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