Text-to-Speech API for Voice Agents
Aura-2 delivers sub-200ms streaming text-to-speech built for voice agents with domain-specific accuracy and secure, scalable deployment across cloud and on-prem environments.
Aura-2 Text-to-Speech features
Aura-2 is engineered for the demands of real-time voice agents: low latency, cost-effective scale across thousands of concurrent sessions, and the reliability production workloads require.
Domain-tuned pronunciation
Ensures accurate pronunciation for industry-specific terminology in healthcare, finance, legal, and beyond.
Authentic, Natural Voices
Features 40+ English voices with localized accents, delivering natural, business-appropriate speech for professional settings.
Context-aware delivery
Adjusts pacing, tone, and expression to ensure smooth, coherent communication in any context.
Real-time performance
Delivers sub-200ms latency for ultra-responsive interactions, while efficiently handling thousands of concurrent requests.
Cost-effectiveness at scale
Achieves enterprise-grade speech at $0.030 per 1,000 characters—no hidden fees, with volume discounts for large deployments.
Flexible deployment options
Supports public, private cloud, and on-premises deployments, ensuring compliance and security.
Enterprise-ready AI voices
Voice agents don't need cinematic range. They need clarity, consistency, and low listener fatigue across thousands of turns. Aura-2's 40+ voices are tuned for professional conversations in support, sales, healthcare, and finance, with consistent pacing and enunciation that builds trust on every call.
Scalable infrastructure for Text-to-Speech
Powered by the Deepgram Enterprise Runtime, Aura-2 delivers real-time text-to-speech using the same infrastructure that powers our trusted speech-to-text and speech-to-speech capabilities, providing builders with the control, adaptability, and performance needed to deploy and scale production-grade voice AI.
Speech-to-Text leadership enhances Text-to-Speech
When STT and TTS run on the same streaming infrastructure, the entire speech loop gets faster. Fewer handoffs, lower latency, and consistent pronunciation across what the agent hears and what it says. Deepgram's unified architecture means improvements in speech recognition directly sharpen text-to-speech accuracy.
Deepgram Text-to-Speech resources
Explore real-world applications, insights, and industry trends to see how Aura-2 is powering voice agents across industries.
Trusted by voice agent builders for Text-to-Speech
Start building with Aura-2 today
Real-time, streaming-first text-to-speech that's ready for production voice agents. From first prototype to thousands of concurrent calls.