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Speech-To-Text

Transcribe phone calls and push them to HubSpot with Gladia and Zapier

TL;DR: Every wrong name or missed entity in a call transcript silently corrupts your CRM data downstream, and self-hosted pipelines compound this with GPU maintenance overhead and poor accuracy on accented speech. This guide shows you how to route call recordings from Twilio or Aircall through Zapier to our async API, run LLM extraction on the diarized transcript, and push structured deal properties and engagement logs to HubSpot without maintaining custom infrastructure. Multiple customers have the Gladia API layer running in under 24 hours. The remaining pipeline configuration time depends on your Zapier, LLM, and HubSpot setup complexity.

Speech-To-Text

Cutting transcription cost per audio hour for meeting assistants

TL;DR: Transcription cost and accuracy are critical drivers of unit economics for meeting assistant builders. Headline API rates are deceptive because hidden fees for diarization, translation, and billing increments routinely double the effective cost per hour. Self-hosting open-source models introduces GPU underutilization and DevOps overhead that can exceed managed API costs by approximately 3x at early-stage volume. Teams that switch to all-inclusive pricing (diarization, translation, and sentiment bundled at as low as $0.20/hr on our Growth plan) recover meaningful margin without waiting for enterprise-tier volume to justify the conversation.

Speech-To-Text

Scaling real-time STT for high-concurrency voice agents

TL;DR: Scaling real-time voice agents to hundreds of concurrent calls requires moving from stateless CPU-based autoscaling to stateful WebSocket connection management. The failure mode is predictable: architectures that handle test calls at low concurrency struggle when traffic spikes, producing latency spikes and dropped audio. The fix involves scaling on active connection counts, implementing ping/pong heartbeat monitoring to reclaim hanging sessions, and enforcing hard connection limits to protect downstream LLM and TTS layers. Additional capacity comes online without pre-provisioning, so the STT layer is not a fixed ceiling as session counts grow.

How to integrate live transcription API with Twilio to transcribe calls in real time

Published on Sep 28, 2023
How to integrate live transcription API with Twilio to transcribe calls in real time

Twilio, used by hundreds of thousands of businesses and more than ten million developers worldwide, can now integrate with our live transcription API. The integration makes it easier for users to natively transcribe any phone call in real time while using Twilio. With transcribed text at your disposal, you'll then be able to analyze, archive, and act upon voice data more effectively.

Below, you’ll find a step-by-step guide on setting up the Twilio integration with Gladia API in JavaScript for free.

What can you do with Twilio integration?

Any developer can use this integration to transcribe phone calls in real-time. 

How to implement Twilio + Gladia real-time transcription integration

Step 1: Set up your Gladia account

If you haven't already, sign up for our Speech-to-Text API at app.gladia.io and obtain your API key.

Step 2: Create and parametrize your Twilio account

  • Create an account on https://www.twilio.com/try-twilio
  • Get a phone number, following the first step of the main page to connect to your Twilio account.
  • On the left panel Develop > United States (US1) > Phone Numbers > Manage > Active numbers.
  • Click on the phone number you just created.
  • In 'Configure' panel, 'Voice Configuration' section, 'A call comes in' field, choose 'Webhook' with URL = 'http://[your-id-address]:[your-app-port-number]' and HTTP = 'HTTP POST'

Step 3: Configure your server and install dependencies

  • In .env file, add GLADIA_API_KEY var with your API key obtained from Gladia’s website and PORT var, the port you used to configure your phone number in above section (default is 8080)
  • Install dependencies:

npm i

Step 4: Make it work

  • Launch the websocket server:

npm run start

Voila! The transcription should appear in the server logs now.

🔗 Source GitHub repository is available here.

Feel free to check out the video version of the tutorial for a step-by-step walkthrough with one of our software engineers, Antoine.

We hope you enjoyed this how-to tutorial! Given how much audio data still goes to wasted, we’re always curious to explore the many ways in which transcription tech can be used to remedy that. Let us know if you end up using our API with Twilio, Discord, or other, we’d love to hear from you.

About Gladia

At Gladia, we built an optimized version of Whisper in the form of an API, adapted to real-life professional use cases and distinguished by exceptional accuracy, speed, extended multilingual capabilities and state-of-the-art features, including speaker diarization and word-level timestamps.

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