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TL;DR: Native Microsoft Teams transcription via the Graph API delivers transcripts only after a meeting ends, provides utterance-level (not word-level) timestamps, and degrades sharply on accented or multilingual speech. For any product that routes Teams audio to downstream AI systems, the more reliable architectural pattern is capturing raw audio via a custom WebRTC bot and routing it to a managed STT engine, one that delivers word-level timestamps, accurate multilingual handling, and predictable per-hour costs, none of which the native Graph API provides. Solaria-1 covers real-time streaming and broad language support. Solaria-3 is optimised for European business audio.
Podcast transcription at scale: an API workflow for media platforms
TL;DR: Podcast audio is invisible to search without accurate, word-level transcripts, and transcription quality sets the ceiling for everything downstream, from content discovery to AI-generated show notes. A production-grade async pipeline (decoupled webhook ingestion, pyannoteAI-powered diarization, word-level timestamps) is what separates a searchable audio library from a title-and-description catalog. At 10,000 hours monthly, a managed API costs $2,000–$6,100 depending on plan.
HIPAA-ready meeting assistants for healthcare and therapy sessions
TL;DR: Building a HIPAA-ready meeting assistant requires more than a generic transcription wrapper. Any API that processes Protected Health Information on your behalf must sign a Business Associate Agreement (BAA) before PHI flows to it, and transcription accuracy matters more than most teams expect: word error rate can more than double in noisy, multi-speaker clinical environments compared to controlled recordings, meaning errors compound into every SOAP note and EHR entry downstream. This guide covers the BAA requirements, encryption controls, and unit economics product teams need to evaluate before committing to an audio infrastructure provider for clinical or therapy use cases.
How to build a voice-to-text Discord bot with Gladia real-time transcription API
Published on Sep 21, 2023
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.
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.
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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Speech-To-Text
Microsoft Teams transcription via API
Speech-To-Text
Podcast transcription at scale: an API workflow for media platforms
Speech-To-Text
HIPAA-ready meeting assistants for healthcare and therapy sessions
From audio to knowledge
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