docs

# Deepgram Documentation Find the right docs for what you're building with Deepgram. ## Ask AI Have a question? Get answers from Deepgram's AI assistant at <https://developers.deepgram.com/ask-ai>. ## 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)](https://developers.deepgram.com/docs/stt/getting-started) - [Flux STT Quickstart](https://developers.deepgram.com/docs/flux/quickstart) - [Nova 3 → Flux STT migration](https://developers.deepgram.com/docs/flux/nova-3-migration) - [Flux STT language prompting](https://developers.deepgram.com/docs/flux/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)](https://developers.deepgram.com/docs/tts-rest) - [Aura voices and languages](https://developers.deepgram.com/docs/tts-models) - [Flux TTS Overview](https://developers.deepgram.com/docs/flux-tts/overview) - [Flux TTS Streaming Quickstart](https://developers.deepgram.com/docs/flux-tts/quickstart) - [Flux TTS Batch (REST) Quickstart](https://developers.deepgram.com/docs/flux-tts/batch) - [Flux TTS batch vs streaming](https://developers.deepgram.com/docs/flux-tts/batch-vs-streaming) - [Flux TTS voices](https://developers.deepgram.com/docs/flux-tts/voices) - [Aura → Flux TTS migration](https://developers.deepgram.com/docs/flux-tts/migrating) ### Voice Agent Build conversational voice agents powered by Deepgram. - [Voice Agent Docs](https://developers.deepgram.com/docs/voice-agent) - [Voice Agent TTS models (Aura vs Flux TTS)](https://developers.deepgram.com/docs/voice-agent-tts-models) - [Build a Flux TTS voice agent](https://developers.deepgram.com/docs/flux-tts/voice-agent) ### Text and Audio Intelligence Analyze text and audio for sentiment, topics, intents, summaries, and more. - [Audio Intelligence Docs](https://developers.deepgram.com/docs/audio-intelligence) ### Self-Hosted Deployments Run Deepgram on your own infrastructure. - [Self-Hosted Introduction](https://developers.deepgram.com/docs/self-hosted-introduction) ### API Reference Full reference for all Deepgram REST and WebSocket APIs. - [API Reference](https://developers.deepgram.com/reference/deepgram-api-overview) ## 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: ```bash 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.