examples

name

examples

description

Find working Deepgram integration examples with third-party platforms and frameworks. Use whenever someone wants to integrate Deepgram with Twilio, LiveKit, LangChain, Vercel AI SDK, Discord, Vonage, Pipecat, Expo, FastAPI, Cloudflare Workers, Slack, Telegram, LlamaIndex, Zoom, Next.js, Nuxt, Django, SvelteKit, NestJS, Spring Boot, CrewAI, Riverside, SignalWire, and more. Examples are full runnable integration demos, not minimal feature snippets.

Deepgram Examples

Working examples showing how to use Deepgram with popular platforms, frameworks, and ecosystems.

When to use examples

• You're integrating Deepgram with a specific third-party service (telephony, video, LLM frameworks, bots, cloud platforms)
• You want a runnable demo of a complete integration, not just SDK-level code
• You want to see Deepgram slotted into a real-world architecture

Use a different skill when:

• You want a minimal feature snippet (one product, one language, < 50 lines) → recipes skill
• You want a clean starter app to extend with no third-party service → starters skill
• You want the raw API contract → api skill

Browse examples

Repository: https://github.com/deepgram/examples

Examples are numbered (010, 020, ...) and each is a self-contained integration.

Category map

Category	Integrations	Common STT choice
Telephony	Twilio, Vonage, SignalWire, Daily.co, Asterisk/FreeSWITCH	Nova live (/v1/listen) for call transcription; Flux STT (/v2/listen) for AI-agent calls
Voice AI frameworks	LiveKit Agents, Pipecat, OpenAI Agents SDK, CrewAI	Flux STT (/v2/listen) — built-in turn detection; or Voice Agent (/v1/agent/converse) for full-pipeline
Chat platforms	Discord, Slack, Telegram	Nova prerecorded (/v1/listen) for attachments
Web frameworks	Next.js, Nuxt, Django, SvelteKit, NestJS, Express + React, FastAPI, Spring Boot	Nova live (/v1/listen) for captions; Nova prerecorded for batch
Mobile / desktop	Expo, Flutter, Swift iOS, Kotlin Android, Tauri, Electron	Nova live (/v1/listen); Flux STT (/v2/listen) if the app is a voice agent
Cloud / serverless	AWS Lambda, Cloudflare Workers	Nova prerecorded (/v1/listen) — best fit for request/response
Recording platforms	Zoom, Riverside.fm	Nova prerecorded (/v1/listen)
Browser / no-bundler	Vanilla JavaScript	Nova live (/v1/listen) via the Browser SDK
LLM frameworks	LangChain, LlamaIndex, Vercel AI SDK	Nova or Flux STT depending on streaming vs batch
Low-code / automation	n8n community nodes	Nova (/v1/listen) for event-driven transcription

The column above is the STT half of each integration. On the TTS side, Aura (/v1/speak) is what these examples use today — no example in the repo covers Flux TTS (/v2/speak) yet, even in the telephony and voice-AI-framework categories where it fits best. If you're wiring Flux TTS into one of these platforms, take the integration's transport and auth handling from the example and the Flux TTS contract from the api skill.

Install the related SDK skills

If your integration uses a specific Deepgram SDK, install its skills for language-idiomatic patterns:

npx skills add deepgram/deepgram-python-sdk     # Python
npx skills add deepgram/deepgram-js-sdk         # Node.js / 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
npx skills add deepgram/deepgram-swift-sdk      # Swift
npx skills add deepgram/deepgram-kotlin-sdk     # Kotlin
npx skills add deepgram/deepgram-browser-sdk    # Browser TypeScript

Related Deepgram skills

• api — consolidated REST + WebSocket API reference
• recipes — focused feature snippets (one feature, one language)
• starters — starter apps without third-party integrations
• docs — documentation finder
• setup-mcp — Deepgram MCP server installation