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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.

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Velma Triage

Velma Triage: conversation analysis

Detect behaviors, classify conversations, identify participant roles, and extract topics with sentiment. Available as a single API call or a real-time stream.

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Models

Models are grouped by the kind of output they produce. Which API should I use? covers the choice between endpoints in detail, including the cases where one call covers two needs.

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Transcription

Transcription

Three models across batch and streaming. Speaker diarization, per-utterance timing, and optional emotion, accent, deepfake, and PII/PHI signals.

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Detection

Deepfake Detection

Per-frame synthetic-voice verdicts on files or live audio.

Emotion Detection

A whole-file emotion label plus a per-window time series.

Accent Detection

A whole-file accent label plus a per-window time series.

Music & Speech Detection

Frame-level music and speech probabilities.

AI Music Detection

Whether a track contains AI-generated vocals or instrumentals.

Language Detection

The spoken language of a clip, with a confidence score, across 100 languages.

Audio Event Detection

A probability for each of 42 non-speech sound events, from instruments to gunshots.

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Redaction

PII/PHI Redaction

A redacted transcript plus audio with the sensitive ranges silenced. Batch and streaming.

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New here?

Quick start

Make your first API call in under five minutes. No SDK required.

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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.