Shield
Shield
Brick with soundwave

Voice AI for real conversation.

The real-time infrastructure behind speech-to-text, text-to-speech, and voice agents that listen and respond the way people actually talk.

Leading voice teams build with Deepgram

Granola logo
Twilio logo
Cloudflare logo
Vapi logo
Daily logo
Cresta logo
Decagon logo
IBM logo
Sierra logo
NICE logo

The whole voice AI stack in one platform.

  1. Audio input
  2. Speech-to-text (STT)
  3. LLM orchestration
  4. Business logic
  5. External systems
  6. Text-to-speech (TTS)
Woman talking to iPad

Your customer or end user speaking naturally

  • 200K+years of audio processed
  • 650K+developers building
  • 5,000+organizations powered
  • 99.99%Enterprise-grade reliability

Build in minutes

  • Compare voices side by side

    Build a web page that reads one script aloud in five Deepgram Flux TTS voices so I can compare them side by side. Use batch POST /v2/speak. Docs: developers.deepgram.com/llms.txt

  • Give your chatbot a voice

    Add spoken replies to my existing chatbot: send each LLM message to Deepgram Flux TTS over WebSocket and play it in the browser. Voice: flux-sienna-en. Docs: developers.deepgram.com/llms.txt

  • Stream voice from your LLM

    Build a Python app that streams LLM replies into Deepgram Flux TTS over the /v2/speak WebSocket and plays audio as it arrives. Voice: flux-hannah-en. Docs: developers.deepgram.com/llms.txt

  • Book appointments by voice

    Build a receptionist on the Deepgram Voice Agent API that books appointments through function calling, confirms details before booking, and speaks with Flux TTS. Docs: developers.deepgram.com/llms.txt

Ambient background

Unfiltered feedback

Hear how teams are putting Deepgram to work, in their own words.

See the results
  • Vapi logo

    We've relied on Deepgram's speech recognition to power real-time voice interactions at scale, so the ability to deploy TTS built on the same enterprise runtime is incredibly compelling. Having STT and TTS under one roof eliminates the integration gaps and latency issues that come with piecing together separate tools.

    Nikhil Gupta

    Founder and CTO, Vapi

  • Cloudflare logo

    At Cloudflare, we understand what it takes to deliver real-time experiences at global scale. Flux represents the next evolution, purpose-built conversational speech recognition that eliminates the complexity and latency bottlenecks of traditional pipelines.

    Dane Knecht

    CTO, Cloudflare

  • Nice logo

    NiCE supports some of the world's most complex contact center environments, where voice AI quality has to hold up across long, unpredictable customer interactions. Deepgram Flux TTS gives us a text-to-speech model designed for nuance, with the ability to carry context and consistency across a multi-turn conversation.

    Neeraj Verma

    VP, NICE

We’re building
over here

We ship in public, take feedback seriously, and answer questions in Discord instead of a ticket queue.

Rock
Speaker
Green texture
Woman talking on the phone

Talk shop with people who get it

Deepgram’s community offers resources to support you on your voice AI journey.

Two woman looking at post its on a transparent wall

Pricing

Pricing built for real ROI

Every tier runs on the same backend. Only the capabilities flex.

  • Pay as you go

    No minimums, no expiration, and no credit card required.

    Free $200 credit then pay as you go

  • Growth

    Pre-paid credits for the year, redeemed against actual usage.

    Save up to 20%

    $4,000+ / year

  • Enterprise

    For businesses with large volumes, data or deployment requirements, or support needs.

    Custom pricing

Speak with a voice AI expert

Get help building fast, natural voice experiences with speech-to-text, text-to-speech, and voice agents.

See Deepgram in action

Loading form