Deepgram Documentation

Find the right docs for what you're building with Deepgram.

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Documentation by Topic

Speech-to-Text (STT)

Transcribe audio and video into text. Deepgram ships two actively maintained, next-gen model families — pick the one that matches your use case.

• Nova (/v1/listen) — general-purpose transcription (captions, subtitles, batch files, live streams). Rich feature set including intelligence overlays (diarize, summarize, sentiment, topics, intents).
• Flux STT (/v2/listen) — conversational-audio transcription for voice agents and interactive assistants. Built-in turn-taking (EOT events, mid-session reconfig).

Docs:

• STT Getting Started (Nova)
• Flux STT Quickstart
• Nova 3 → Flux STT migration
• Flux STT language prompting

Text-to-Speech (TTS)

Convert text into natural-sounding speech. Deepgram ships two TTS model families on separate endpoints — the voices do not overlap.

• Aura (/v1/speak) — the broadest voice catalog (English, Spanish, German, Dutch, French, Italian, Japanese) and compressed/containerized output. Use for one-shot synthesis and any non-English voice.
• Flux TTS (/v2/speak) — streaming-first, voice-agent-first synthesis. Turn-based lifecycle, barge-in with spoken-text feedback, and prosody that carries across turns. English at launch.

Docs:

• Text-to-Speech Docs (Aura)
• Aura voices and languages
• Flux TTS Overview
• Flux TTS Streaming Quickstart
• Flux TTS Batch (REST) Quickstart
• Flux TTS batch vs streaming
• Flux TTS voices
• Aura → Flux TTS migration

Voice Agent

Build conversational voice agents powered by Deepgram.

• Voice Agent Docs
• Voice Agent TTS models (Aura vs Flux TTS)
• Build a Flux TTS voice agent

Text and Audio Intelligence

Analyze text and audio for sentiment, topics, intents, summaries, and more.

• Audio Intelligence Docs

Self-Hosted Deployments

Run Deepgram on your own infrastructure.

• Self-Hosted Introduction

API Reference

Full reference for all Deepgram REST and WebSocket APIs.

• API Reference

SDK-Specific Skills

For language-idiomatic code patterns (imports, async idioms, error handling, type shapes), install the Deepgram SDK's own skills. Every Deepgram SDK publishes 7 product skills:

npx skills add deepgram/deepgram-python-sdk     # Python
npx skills add deepgram/deepgram-js-sdk         # JavaScript / TypeScript
npx skills add deepgram/deepgram-java-sdk       # Java
npx skills add deepgram/deepgram-go-sdk         # Go
npx skills add deepgram/deepgram-rust-sdk       # Rust
npx skills add deepgram/deepgram-dotnet-sdk     # C# / .NET

Swift and Kotlin SDK skills are not listed because those repositories are not public and npx skills add cannot reach them. For browser work, open the browser-agent skill: it covers the four Browser Agent SDK packages published on npm (@deepgram/agents, @deepgram/react, @deepgram/ui, @deepgram/agents-widget).

Related Deepgram skills

• api: consolidated REST + WebSocket API reference
• recipes: minimal runnable feature snippets per language
• examples: full integration examples with third-party platforms
• starters: runnable starter apps (framework × feature)
• audio-intelligence: the /v1/listen analysis parameters
• text-intelligence: POST /v1/read for text you already have
• browser-agent: running a voice agent in a browser
• cli: deepctl for shell and CI work
• self-hosted: running Deepgram on your own GPUs
• setup-mcp: Deepgram MCP server installation

MCP Server

For direct documentation querying from your AI coding tool, use the setup-mcp skill to install the Deepgram MCP server.