API Comparison Table

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Speech-To-Text

Migrating from Rev.ai to Gladia: what global teams should know

TL;DR: At 10,000 hours of audio per month, Rev.ai's per-hour billing compounds quickly once you add diarization, translation, and sentiment as separate line items. Language coverage gaps surface silently in production when non-English or accented audio degrades without returning an obvious error. This guide gives you the exact API payload mappings, WebSocket transition logic, and a TCO model at realistic scale to make a defensible evaluation of switching. If you decide to migrate, our all-inclusive per-hour pricing bundles every audio intelligence feature at the base rate, and most teams complete the endpoint transition and initial production validation in under 24 hours.

Speech-To-Text

Switching your speech-to-text provider: A migration checklist for note-takers and contact center platforms

TL;DR: Switching your speech-to-text provider is a structural risk only if you skip the pre-migration audit. The real danger is not the cutover itself but continuing to run infrastructure that corrupts CRM entries, breaks LLM summaries, and inflates your per-hour cost with add-on fees you never modeled at scale. The four-stage phased cutover in this guide is designed to reach 100% production traffic without user-visible downtime, the same structural approach that let Aircall cut processing time by 95% and scale to over one million calls per week after adopting Gladia.

Speech-To-Text

How decision intelligence improves customer service consistency in contact centers

TL;DR: Contact centers fail to deliver consistent service when routing infrastructure runs on static rules engines that cannot handle the complexity of real human conversation. Modern speech-to-text infrastructure addresses this by processing raw audio and feeding structured outputs to your CRM, using machine learning to analyze intent, sentiment, and speaker characteristics. Transcription accuracy sets the ceiling for every downstream action: a wrong word silently corrupts a CRM entry, a missed intent misfires a routing decision, and a misread sentiment score delays escalation. This playbook covers how to build and deploy that architecture without blowing your latency budget or your unit economics.

How to build a voice-to-text Discord bot with Gladia real-time transcription API

Published on Sep 21, 2023
How to build a voice-to-text Discord bot with Gladia real-time transcription API

Discord, the leading communication platform for gamers and communities, is designed for seamless communication with other users, be it through text channels, DMs, 1-1 calls or even collective voice channels.

Based on multiple request from our Discord members, we’ve built a custom JavaScript bot that makes use of Gladia’s live transcription API to transcribe speech in real time directly on the Discord server.

What can you do with Discord bot?

First, you can transcribe voice in real time directly on Discord’s voice channels. Ex. you’re streaming a game on Discord and want to access some learnings and tips received during the sessions. Or, you’re having your group gathers on the platform and want to be able to review the talking points after – just like with any other virtual meeting platform. 

Beyond that, a bot like this could be used for real-time moderation to flag hate speech and ban users. With additional tools like ChatGPT, you could also create command-based notes to provide meeting summaries and helps you catch up with meetings you may have missed.

Screenshot of a transcription bot on Discord

How to implement the Discord.js v14 bot + Gladia real-time transcription

Step 1: Register your bot

Create a Discord bot that you'd like to use for transcription. If you’ve never  built one before, here’s a useful resource to help.

First, install all the required package by running:


npm install

Then, you will to setup the index.js script with your Discord keys, guild ID (Server ID), and the Voice Channel ID.

Step 2: Retrieve API key

Sign up for our speech-to-text API at app.gladia.io and obtain your API key. Documentation for Gladia live transcription can be found here.

Step 3:  Code integration

Once everything is set up properly, simply run:


npm run start YOUR_GLADIA_TOKEN

Your bot should then join the channel corresponding to the channel ID you configured in the index.js file.

 Step 4: Configure Discord permissions

  • Make sure your bot is invited on the server;
  • Give the bot the required voice permissions.

Bear in mind that the current v1 implementation of the bot is not fully optimized, so you might experiences inaccuracy regarding language changes & words.

And you’re good to go!

🔗 Source GitHub repository is available here.

We hope you enjoyed this short 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 went on to build a bot or used our API for others apps on Discord or beyond, 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 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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