Build production-ready conversational AI
Keep conversations flowing through interruptions, trailing thoughts, and turn-taking with speech-to-text, text-to-speech, and voice agent orchestration.
- Voice agent API
- Global coverage
- Deployment on your terms
Leading voice teams build with Deepgram
Everything conversational AI, in one place
Turn audio into a working conversation with speech recognition, natural voices, and real-time orchestration.
Speech-to-text
Real-time streaming speech recognition
Flux STT doesn't just transcribe a conversation, it keeps up with one. The first conversational speech recognition model built for voice agents, it runs transcription, turn detection, and interruption handling in one streaming architecture, so there's no voice activity detector (VAD), turn detector, and transcriber to stitch together yourself.
Text-to-speech
Conversation-native text-to-speech
Most text-to-speech reads one line at a time. Deepgram Flux TTS reads the whole conversation, carrying tone and context across turns, handling interruptions cleanly. It responds in as low as 80ms and maintains expressiveness.
Voice Agent API
Orchestration built for real conversations
The Deepgram Voice Agent API runs speech-to-text, text-to-speech, and an LLM as one connected system, with turn-taking, end-of-thought prediction, and barge-in built in. Ship a working agent instead of wiring three services together.
Global coverage
Every market you need in one stack
Conversations don't stay in one language, so Deepgram doesn't either. Speech-to-text in 60+ languages, with text-to-speech in 45+ of those languages. Automatic language detection and code-switching are available on supported models. New markets won't need a new vendor.
Deployment
Enterprise deployment on your terms
Your infrastructure, your rules. Run Deepgram in private cloud, self-hosted, or hybrid, and keep the security, residency, and control requirements you already have.
FAQ
Conversational AI is software that can hold a natural, two-way conversation with a person, most often through voice or text. Modern conversational AI combines speech recognition, language understanding, and speech synthesis so users can talk to a system the way they'd talk to a person.
Deepgram provides the voice AI infrastructure conversational AI runs on: streaming speech-to-text and natural text-to-speech with turn-taking, end-of-thought detection, and barge-in built in.
Voice agents are only as good as their ability to respond instantly. Delays break the flow, frustrate users, and reduce trust. Deepgram's streaming architecture delivers sub-second round-trip latency across speech-to-text and text-to-speech to keep interactions feeling human.
The Deepgram Voice Agent API is a single API that orchestrates speech-to-text, text-to-speech, and a large language model into a working voice agent, with turn-taking, end-of-thought prediction, and barge-in built in, so teams can ship an agent without stitching services together themselves.
Deepgram supports 60+ languages for speech-to-text and 45+ languages for text-to-speech, enabling global deployments from a single stack.
Yes. Deepgram offers private cloud, self-hosted, and hybrid deployment options for teams with security, residency, or control requirements that rule out shared multi-tenant services.
Build it. Ship it.
No vendors, no wiring, no waiting. Onboard Deepgram for speech-to-text, text-to-speech, and voice agent orchestration.
See Deepgram in action
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