For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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OverviewAPI ReferencePre-recorded STTStreaming STTVoice AgentsSpeech UnderstandingGuardrailsLLM GatewayFAQ
OverviewAPI ReferencePre-recorded STTStreaming STTVoice AgentsSpeech UnderstandingGuardrailsLLM GatewayFAQ
  • Getting started
    • Overview
    • Build with AI coding agents
    • Models
    • Evaluate model accuracy
    • Manage your account
    • Introducing Universal-3 Pro
    • End-to-end examples
      • Meeting notetaker
      • Sales call intelligence
      • Medical scribe
      • Content repurposing
      • Real-time meeting assistant
      • Real-time live captioner
  • Use cases & integrations
    • Use case guides
    • Integrations
  • Trust & security
    • Trust center
    • Security overview
    • Data retention and model training
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On this page
  • Overview
  • Pre-recorded pipelines
  • Streaming pipelines
  • Customize and extend
  • Next steps
Getting started

End-to-end examples

Copy-paste pipelines that combine multiple AssemblyAI products in a single script.

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Meeting notetaker

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Overview

Each example below is a self-contained script that wires together several AssemblyAI products into a working pipeline. Run one, see the polished output, and customize from there.

Every example uses placeholder API keys (YOUR_API_KEY). Replace them with your actual key from the AssemblyAI dashboard.

Pre-recorded pipelines

These pipelines transcribe an existing audio file, then enrich the transcript with Speech Understanding features and LLM Gateway analysis.

PipelineProducts usedBest for
Meeting notetakerSTT + speaker diarization + Speaker Identification + language detection + LLM GatewayTeam meetings, standups, all-hands
Sales call intelligenceSTT + speaker diarization + Speaker Identification + sentiment analysis + LLM GatewayRevenue teams, coaching, QA
Medical scribeSTT + speaker diarization + Speaker Identification + Medical Mode + entity detection + LLM GatewayClinical documentation, SOAP notes
Content repurposingSTT + key phrases + LLM GatewayPodcasts, webinars, marketing

Streaming pipelines

These pipelines use the Streaming STT API to transcribe audio in real time from a microphone, with optional LLM Gateway integration for live analysis.

PipelineProducts usedBest for
Real-time meeting assistantStreaming STT + Universal-3 Pro + LLM GatewayLive captions, real-time summaries
Real-time live captionerStreaming STT + keyterms promptingAccessibility, live events

Customize and extend

Each pipeline above is a starting point. Here are common ways to build on them:

  • Swap LLM models — Change the model parameter in LLM Gateway requests to use any of the 25+ supported models (Claude, GPT, Gemini, and more).
  • Add structured output — Use Structured Outputs to constrain LLM responses to a JSON schema for easier downstream processing.
  • Add PII redaction — Enable PII Redaction to automatically mask sensitive information before it reaches the LLM.
  • Use Speaker Identification — Replace generic speaker labels with real names using Speaker Identification.
  • Add Translation — Translate transcripts into 20+ languages using Translation.
  • Use webhooks — Replace polling with webhooks for production workloads so your server gets notified when transcription completes.

Next steps

  • Pre-recorded STT quickstart — Step-by-step guide for your first transcription
  • Streaming STT quickstart — Set up real-time transcription
  • LLM Gateway overview — Explore all available models and features