> ## Documentation Index
> Fetch the complete documentation index at: https://docs.modulate.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Modulate developer docs

> Build with Modulate's voice AI platform. Start with Velma Triage for whole-conversation analysis, or call individual models for transcription, detection, and redaction.

Every Modulate model is audio-native. Each one analyzes the acoustic signal rather than working from transcribed words alone, which is what lets them report tone, accent, synthetic speech, and music alongside what was said.

## Velma Triage

<Card title="Velma Triage: conversation analysis" href="/velma/overview">
  Detect behaviors, classify conversations, identify participant roles, and extract topics with sentiment. Available as a single API call or a real-time stream.
</Card>

## Models

Models are grouped by the kind of output they produce. [Which API should I use?](/guides/which-api) covers the choice between endpoints in detail, including the cases where one call covers two needs.

### Transcription

<CardGroup cols={2}>
  <Card title="Transcription" icon="microphone" href="/get-started/stt">
    Three models across batch and streaming. Speaker diarization, per-utterance timing, and optional emotion, accent, deepfake, and PII/PHI signals.
  </Card>
</CardGroup>

### Detection

<CardGroup cols={3}>
  <Card title="Deepfake Detection" icon="shield-halved" href="/get-started/deepfake">
    Per-frame synthetic-voice verdicts on files or live audio.
  </Card>

  <Card title="Emotion Detection" icon="face-smile" href="/get-started/emotion">
    A whole-file emotion label plus a per-window time series.
  </Card>

  <Card title="Accent Detection" icon="globe" href="/get-started/accent">
    A whole-file accent label plus a per-window time series.
  </Card>

  <Card title="Music & Speech Detection" icon="music" href="/get-started/music-detection">
    Frame-level music and speech probabilities.
  </Card>

  <Card title="AI Music Detection" icon="robot" href="/get-started/ai-music-detection">
    Whether a track contains AI-generated vocals or instrumentals.
  </Card>

  <Card title="Language Detection" icon="language" href="/get-started/language-detection">
    The spoken language of a clip, with a confidence score, across 100 languages.
  </Card>

  <Card title="Audio Event Detection" icon="waveform-lines" href="/get-started/audio-event-detection">
    Which non-speech sound events are present, from a vocabulary of 42 spanning instruments to gunshots.
  </Card>
</CardGroup>

### Redaction

<CardGroup cols={2}>
  <Card title="PII/PHI Redaction" icon="eye-slash" href="/get-started/pii">
    A redacted transcript plus audio with the sensitive ranges silenced. Batch and streaming.
  </Card>
</CardGroup>

## New here?

<Card title="Quick start" icon="rocket" href="/quickstart">
  Make your first API call in under five minutes. No SDK required.
</Card>

## What you can build

* **Meeting transcription.** Multilingual transcripts with speaker labels, timestamps, and optional emotion or accent signals.
* **Live captions.** Stream audio over WebSocket and render utterances as they are spoken.
* **Voice agents.** Sub-two-second partial transcripts with utterance segmentation at pauses.
* **Anti-spoofing.** Real-time deepfake verdicts during a voice authentication flow.
* **Compliance archives.** Shareable recordings with PII/PHI removed from the transcript and silenced in the audio.
* **Call QA and coaching.** Behavior detections, topics, sentiment, and a summary across a whole conversation.
* **Content moderation.** Frame-by-frame music and speech classification at scale.
* **Catalog screening.** Batch checks for AI-generated music or AI-generated voice in uploaded audio.
* **Language routing.** Identify the spoken language and send audio to the matching pipeline.


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