@vercel_dev: Gemini 3.5 Transcribe is live on AI Gateway with automatic detection for 85+ languages. Live audio + recordings: β’ ππβ¦
Summary
Vercel announces that Google's Gemini 3.5 Transcribe model is now available on AI Gateway, supporting live and recorded audio transcription in over 85 languages with automatic language detection and custom vocabulary.
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Gemini 3.5 Transcribe is live on AI Gateway with automatic detection for 85+ languages.
Live audio + recordings: β’ google/gemini-3.5-transcribe-live β’ google/gemini-3.5-transcribe
https://t.co/600q7xbvsx
Gemini 3.5 Transcribe now available on AI Gateway - Vercel
Source: https://vercel.com/changelog/gemini-3-5-transcribe-now-available-on-ai-gateway Gemini 3.5 Transcribe (https://vercel.com/ai-gateway/models/gemini-3.5-transcribe-live) from Google is now available on AI Gateway. It takes audio and returns text, in two variants:
google/gemini-3.5-transcribetranscribes a complete recording in a single request.google/gemini-3.5-transcribe-livetranscribes audio over a WebSocket, returning a transcript that updates while the recording is still going.
The model detects the language on its own, covers 85+, and follows a speaker who switches language partway through. You can also supply custom vocabulary so it recognizes names, jargon, and spellings.
Streaming transcription is new in AI SDK V7:
npm install ai@latest @ai-sdk/gateway@latest
Live transcription
streamTranscribe opens the socket and takes a ReadableStream of raw audio chunks, so you can pass a microphone straight through. Tell it the format you are sending with inputAudioFormat:
import { gateway } from '@ai-sdk/gateway';
import { experimental_streamTranscribe as streamTranscribe } from 'ai';
const stream = streamTranscribe({
model: gateway.transcription('google/gemini-3.5-transcribe-live'),
audio: microphoneStream, // ReadableStream of 16 kHz 16-bit PCM chunks
inputAudioFormat: { type: 'audio/pcm', rate: 16000 },
providerOptions: {
google: { mode: 'SMART' }, // or 'VERBATIM' (default)
},
});
Complete recordings
For audio you already have on disk, transcribe sends it in one request and returns the text:
import { experimental_transcribe as transcribe } from 'ai';
import { readFile } from 'node:fs/promises';
const result = await transcribe({
model: 'google/gemini-3.5-transcribe',
audio: await readFile('meeting.mp3'),
});
console.log(result.text);
You can also try the model without writing any code. Open Gemini 3.5 Transcribe Live (https://vercel.com/ai-gateway/models/gemini-3.5-transcribe-live) and send audio to read the transcript in the browser.
AI Gateway provides a unified API for calling models, tracking usage and cost, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting (https://vercel.com/changelog/custom-reporting-ai-gateway), budgets for API keys (https://vercel.com/docs/ai-gateway/authentication-and-byok/api-keys), routing rules (https://vercel.com/docs/ai-gateway/models-and-providers/routing-rules), and more.
AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (https://vercel.com/docs/ai-gateway/authentication-and-byok/byok) (BYOK) requests.
You can view all transcription models (https://vercel.com/ai-gateway/models?type=transcription) available on AI Gateway, or start from the speech quickstart (https://vercel.com/docs/ai-gateway/getting-started/speech).
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