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---
title: Intelligent transcription with Gemini 3.5 Transcribe
description: Google introduces Gemini 3.5 Transcribe, a new speech-to-text model available via the Live API (streaming) and Interactions API (pre-recorded audio). It offers...
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# Intelligent transcription with Gemini 3.5 Transcribe

**[DeepMind](https://daily.dev/sources/dm)** · 5 min read · 0 upvotes · 0 comments

## Summary

Google introduces Gemini 3.5 Transcribe, a new speech-to-text model available via the Live API (streaming) and Interactions API (pre-recorded audio). It offers self-correction handling, filler-word removal, custom vocabulary support, speaker attribution, and over 85 languages. Compared to the previous Chirp 3 model, it achieves lower word error rates (4.0% streaming, 2.6% non-streaming per Artificial Analysis) and 70% faster time-to-final-transcription. It's rolling out in Google AI Studio, Gemini Enterprise Agent Platform, Gboard's Rambler feature, Google Antigravity, the Gemini app on macOS, and soon Chrome, with third-party platforms like LiveKit, Pipecat, and Vercel already integrating it.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe>

## Questions this post answers

### What is Gemini 3.5 Transcribe and how does it differ from Chirp 3?

Gemini 3.5 Transcribe is Google's newest speech-to-text model, designed for intelligent voice interactions with self-correction handling, filler-word removal, and auto-formatting. Compared to the previous Chirp 3 model, it improves word error rate and, per Artificial Analysis measurements, cuts time to final transcription by 70%, offering significantly better latency and accuracy.

_Developers evaluating speech-to-text upgrades can track releases like this one on daily.dev._

### What word error rate does Gemini 3.5 Transcribe achieve for streaming versus pre-recorded audio?

According to Artificial Analysis measurements, Gemini 3.5 Transcribe achieves a 4.0% word error rate for streaming transcription and 2.6% for non-streaming, pre-recorded use cases. On the FLEURS multilingual benchmark it reaches 5.50% WER in streaming mode and 5.04% WER in non-streaming mode across a set of top languages and locales.

_Teams comparing transcription model accuracy can follow benchmark updates like these on daily.dev._

### Which APIs give developers access to Gemini 3.5 Transcribe and what do they support?

Two separate APIs expose the model: the Live API offers real-time, bidirectional streaming with sub-second latency using gemini-3.5-transcribe-live, while the Interactions API handles pre-recorded audio, meetings, and call logs with speaker attribution and word-level timestamps using gemini-3.5-transcribe. Both are in public preview through Google AI Studio and Gemini Enterprise Agent Platform.

_Developers building voice agents can keep up with API options like these via daily.dev._

## Similar posts on daily.dev

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- [Trying out Gemini 3 Pro with audio transcription and a new pelican benchmark](https://daily.dev/posts/trying-out-gemini-3-pro-with-audio-transcription-and-a-new-pelican-benchmark-6ratpcshl) · Hacker News · 0 upvotes · 0 comments
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---

Tags: [#google](https://daily.dev/tags/google), [#google-gemini](https://daily.dev/tags/google-gemini), [#speech-recognition](https://daily.dev/tags/speech-recognition), [#voice-ai](https://daily.dev/tags/voice-ai)

[View this post on daily.dev](https://daily.dev/posts/intelligent-transcription-with-gemini-3-5-transcribe-poly4ngnn)

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