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notes-tasks•Updated 10/9/2025

AI-Driven Real-Time Call Transcription

Instant, accurate transcriptions for live calls, enabling real-time QA and coaching.

$0.02 - $0.06 per minute of audioSub-100ms transcription latency

The Problem

Need live, low-latency transcription of phone calls for agent coaching or real-time compliance monitoring.

Expected Outcome

Instant, accurate transcriptions for live calls, enabling real-time QA and coaching.

Tool Chain

Deepgram
Twilio Voice API
Krisp

Implementation Steps

  1. 1

    Call Connection and Splitting

    Twilio splits the audio into two channels (agent and customer) and streams both to the ASR service.

    Twilio Voice API
  2. 2

    Noise Cancellation (Pre-Processing)

    Optional: Krisp is used to clean the audio streams before ASR for better accuracy.

    Krisp
  3. 3

    Real-Time Diarized Transcription

    Deepgram processes the two streams, returning real-time, speaker-labeled transcripts.

    Deepgram
  4. 4

    Real-Time Alerting

    A backend service analyzes the transcript keywords (e.g., 'cancel subscription') to trigger real-time alerts for the supervisor.

Alternatives

Step 3

A very fast alternative for real-time, multilingual performance.

Cost Impact: N/A

Export Workflow

Coming Soon

Soon you’ll export this stack to Zapier, n8n, or a starter repo with presets (env vars, webhooks, rate limits).

Get export launch updates