Deepgram Voice AI

Deepgram Voice AI

Deepgram Voice AI is a developer platform for speech-to-text, text-to-speech, and voice agents, offering real-time APIs for building enterprise conversational applications.

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AI APIai-transcriptiontext-to-speechAI Agent
Last Updated Oct 22, 2026
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About

Deepgram Voice AI is a speech platform that gives developers APIs for speech-to-text (STT), text-to-speech (TTS), and voice agents. It is designed for applications that need to hold real conversations — handling turn-taking, interruptions, and conversational context — rather than simply converting audio to text.

The platform combines its recognition models (Flux and Nova-3), its Flux TTS voices, and a unified Voice Agent API that stitches transcription, LLM orchestration, and speech synthesis into a single WebSocket connection. Developers attach their own or a managed language model for reasoning; Deepgram handles the speech layer. It is available as a managed API with endpoints in the US, EU, and Australia, as well as in-VPC and self-hosted deployment options. Companies including Cloudflare, Twilio, Daily, Vapi, Sierra, and Granola publicly describe using Deepgram's APIs in their products.

Key Features

Speech-to-text (Flux and Nova-3): Flux is built for voice agents with integrated end-of-turn detection and interruption handling; Nova-3 supports batch and streaming transcription across 50+ languages with diarization, keyterm prompting, and smart formatting.
Flux TTS: A streaming-first text-to-speech model designed for live conversations, with 36 English voices across seven accents, barge-in reporting, and mid-session speed control.
Voice Agent API: A single WebSocket endpoint that combines STT, LLM orchestration, and TTS, with function calling, memory and context management, and mid-session reconfiguration, at sub-300ms transcription latency.
Audio Intelligence: Summarization, sentiment analysis, topic detection, and intent recognition for recorded conversations.
Deployment options: Managed cloud API (US, EU, Australia), in-VPC, or fully self-hosted, which matters for compliance-heavy sectors such as healthcare.
Industry models: Domain-tuned options such as Nova-3 Medical, trained on clinical terminology, plus custom models trained on customer data.
Contact center integrations: Documented integrations with Five9, Genesys, Twilio, Vonage, Amazon Connect, AudioCodes, and Kore.ai.

Pricing & Fees

  • Pricing: Pay As You Go starts with $200 in free credit with no credit card required and no minimums or expiration; Growth plans are prepaid annual credits from $4K/year with savings up to 20%; the Voice Agent API is flat-rate from $4.50/hour. Enterprise pricing is by volume commitment through sales.
  • Free access: Flux TTS was offered free through September 12th with up to 45 concurrent streaming connections in the US and 5 in the EU and Australia, per the site's promotion.
  • Limitation: Flux models only work on the `/v2/listen` endpoint and are not compatible with `/v1/listen`.
  • Scope: Deepgram provides the speech stack, not the reasoning LLM — developers connect a managed or bring-your-own LLM provider.

Who It's For

Deepgram targets developers and product teams building real-time voice applications: voicebot and AI assistant builders, contact center and CCaaS platforms, transcription products, and healthcare organizations that need HIPAA-compliant medical transcription. Typical use cases include transcribing recorded calls and meetings, live captioning, phone and drive-thru voice ordering, and end-to-end voice agents that listen, reason via an attached LLM, and speak back. Enterprises with specialized workflows can work with Deepgram on custom models and dedicated or self-hosted deployments.

FAQ

What is Deepgram Voice AI?It is a developer platform providing APIs for speech-to-text, text-to-speech, and voice agent orchestration, available as a managed cloud API, in-VPC, or self-hosted.

Does Deepgram offer a free plan?Yes. The Pay As You Go tier includes $200 in free credit, with no credit card required and no minimums or expiration.

Which speech models should I use?Use Flux when the application must detect end-of-turn and handle interruptions in live conversations; use Nova-3 for recorded audio, live transcription without turn management, and its broader language support (50+ languages).

Does Deepgram include a language model for reasoning?No. Deepgram supplies STT, TTS, and orchestration; developers connect a managed or bring-their-own LLM provider for response generation.

Can Deepgram be deployed on-premises?Yes. In-VPC and self-hosted deployment options are available, which the company positions for compliance needs such as HIPAA-regulated healthcare workloads.