Introducing Aura-2: The World’s Most Professional, Cost-Effective, and Enterprise-Grade Text-to-Speech Model

Deepgram presents Aura-2 as an enterprise-focused text-to-speech model designed for real-time voice applications such as contact centers, IVRs, virtual agents, healthcare, finance, and legal workflows. Built on the Deepgram Enterprise Runtime, it supports cloud, VPC, and on-premises deployment, hot-swapping, shared speech-to-text and text-to-speech infrastructure, and scaling to thousands of concurrent sessions. The company emphasizes Aura-2’s more than 40 professionally tuned voices, sub-200-millisecond time-to-first-byte latency, structured-data pronunciation for dates, currencies, passwords, addresses, URLs, and specialized terms, and an advertised price of $0.030 per 1,000 characters. Deepgram cites internal blinded preference, pronunciation, and latency benchmarks against providers including Azure, Google, ElevenLabs, PlayHT, Cartesia, and OpenAI, reporting particularly strong results in customer-service and other structured enterprise scenarios.

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