Text-to-speech that carries context.

Text-to-Speech purpose-built as the conversational engine for enterprise voice agents. Expressive, low latency TTS designed to handle interruptions, pause, and carry context across the conversation. Deploy where you choose.

Text-to-Speech Features

Voice agents need models that read the conversation, respond in as low as 80ms, and deploy where your data lives.

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Cross-Turn Context

Tone, pacing, and emotional register persist across the whole session. No SSML, style tags, or prompt engineering required.

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Ultra Low Latency

Output that starts in as low as 80ms, even under production load. Expressive range isn't sacrificed for speed.

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Production-Grade Accuracy

Lowest word error rate of any read-aloud TTS tested. Pronounces alphanumerics, drug names, account numbers, dates, and currency accurately every call.

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Voices Tuned for Live Conversation

Empathetic when a customer is frustrated, precise when details matter, warm across long calls.

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Pricing that Scales

$0.045 per 1,000 characters, with volume discounts. Predictable economics at production scale.

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Flexible Deployment Options

Cloud, private cloud, or on-prem. Your processing stays in your environment for workloads like healthcare, finance, and government.

Start building for free with Flux TTS

Through September 12, 2026, developers can build with Flux TTS free with up to 45 concurrent streaming connections globally (5 in EU/AU). Standard pricing applies beginning September 13, 2026.

Consistent, Reliable Voices

Voices stay consistent from the very first response to the very last. Tone adapts when a customer's frustrated, holds steady when details matter, and stays consistent through the whole session.

Voice cards for Alexandra and Paolo, each with a short description of the voice and a waveform to play a sample

Conversative-native Text-to-Speech

State, turn boundaries, and interruptions are tracked for you, not reconstructed from custom code your team has to build and maintain. When a caller barges in, you find out what they actually heard. When a turn ends, you know. Speed and style can be adjusted mid-conversation without restarting the session.

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Fast and Expressive

No more choosing between speed and expressiveness. Now you get both: Responses in as low as 80ms and full expressive range with 24kHz fidelity.

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Better together: Speech-to-Text and Text-to-Speech

Both sides of the interaction run on a single, conversation-native foundation, rather than a patchwork of different vendors. Listening tracks turn-taking, speaking carries tone and state, and the same design philosophy powers it all.

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Trusted by enterprises and conversational AI leaders

Frequently Asked Questions

Can I use Deepgram Text-to-Speech with my existing voice agent stack?
How does Deepgram Text-to-Speech compare to ElevenLabs?
How does Deepgram Text to Speech compare to Cartesia?
What is the best Text to Speech for customer support voice agents?
What is the best Text to Speech for outbound calling?
Does Deepgram Text to Speech support multilingual voice agents?
How low does Text to Speech latency need to be for real-time voice agents?
Does Deepgram Text to Speech work over phone calls?
Is Deepgram Text to Speech HIPAA compliant?
Can Deepgram Text to Speech be deployed on-premises?
How do I choose a voice for my AI agent?
How much does Deepgram Text to Speech cost?

Start Building Today

Unlock the power of scalable, real-time text-to-speech, and seamlessly integrate Deepgram's enterprise-grade voice AI into your applications.