Google launches Gemini 3.5 Transcribe speech-to-text model for developers
Google has released Gemini 3.5 Transcribe, a new speech-to-text model that converts raw audio into clean, formatted text while handling background noise, jargon, and disfluencies better than prior systems. It's available to developers via the Gemini API in Google AI Studio and the Gemini Enterprise Agent Platform, split into a real-time streaming option and a pre-recorded audio processing option.
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Accurate transcription that handles messy real-world audio is a persistent bottleneck for voice agents, captioning tools, and call analytics, so improvements here directly affect product reliability. By offering both live streaming and batch processing APIs with speaker attribution and timestamps, Google is positioning the model as core infrastructure for a wide range of voice-driven applications, not just its own consumer features like Rambler.
- Gemini 3.5 Transcribe is Google's most precise speech-to-text model to date, built for noisy, jargon-heavy, disfluent audio.
- It ships as two APIs: a low-latency Live API for streaming and an Interactions API for pre-recorded audio with speaker labels and timestamps.
- Developers can now access it through Google AI Studio and the Gemini Enterprise Agent Platform to build voice agents, captioning, and call analytics tools.
Blue Yeti USB Microphone — If you're testing speech-to-text models like Gemini 3.5 Transcribe or building voice agents, a clean audio source makes a huge difference. The Blue Yeti is a plug-and-play USB condenser mic with multiple pickup patterns, so you can capture solo dictation or a whole table of speakers for transcription experiments.
See Blue Yeti USB Microphone on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: blog.google — Diego Melendo Casado, 2026-08-27
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