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Speech-To-Text

Custom vocabulary vs. custom spelling: which one to choose for better transcripts

Even the most advanced speech-to-text systems make mistakes when they hit brand names, technical acronyms, or non-standard pronunciations. For call centers and customer service platforms, these aren't minor glitches: they break workflows, misrepresent customer needs, and erode trust on both ends of the call.

Speech-To-Text

Build a customer interview library with Gladia, Airtable & Make.com

TL;DR: Most product teams lose qualitative insights to scattered audio and transcripts that misattribute quotes. A reliable interview library needs accurate async diarization, automated routing, and a searchable database. Gladia's Solaria-1 sets the accuracy floor (29% lower WER, 3x lower DER on conversational speech), and Make.com routes its structured JSON into Airtable automatically, turning raw recordings into a searchable, theme-tagged customer content library.

Speech-To-Text

Build an automated sales call analyzer with Gladia and n8n

TL;DR: Off-the-shelf conversation intelligence platforms cost $1,200 to $2,400 per seat per year, while this n8n and Gladia pipeline scales at $0.20 to $0.61 per hour of audio with all features included. The async pipeline handles transcription, speaker diarization, and audio intelligence in a single API call, and the structured JSON output maps directly into HubSpot or Salesforce through n8n nodes. Gladia's Solaria-1 model covers 100+ languages, including 42 that no other API-level competitor supports, protecting CRM data quality for global sales teams.

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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