Intelligent transcription with Gemini 3.5 Transcribe

What happened

Your browser does not support the audio element. This content is generated by Google AI. 5 Transcribe, our most precise speech-to-text model yet, designed for intelligent voice interactions. 5 Transcribe converts raw audio directly into accurate, polished, formatted text.

Why it matters

Across our products like the Gemini app and on Android, we’ve seen consumers already benefiting from this transcription model with new voice capabilities like Rambler on Android and in the Gemini app on macOS. 5 Transcribe in the Gemini API in Google AI Studio and Gemini Enterprise Agent Platform. 5 Transcribe to plug seamlessly into your developer workflows, whether you’re building voice agents, real-time captioning tools, or post-call analytics pipelines.

5 Transcribe is designed to capture your natural speaking style to better understand your intent and recognize custom vocabulary, so you can execute tasks with your voice. 5 Transcribe’s performance represents a major advancement from our previous transcription model, Chirp 3, offering new capabilities, improved word error rates, and significantly better latency. As measured by Artificial Analysis, time to final transcription, for example, improves by 70%.

04% WER in non-streaming use-cases. 5 Transcribe goes further than standard speech-to-text to make working across Google feel more natural and intuitive. By bringing context-aware understanding directly into everyday surfaces like Gboard, Antigravity, the Gemini app, and Chrome, it captures nuances, intent, and inline edits with ease.

What to watch

By leveraging the Gemini Live API, developer platforms such as Agora, Fishjam, LangChain, LiveKit, Pipecat, Vercel, and Vision Agents enable developers to build and deploy high-performance voice-driven interfaces with ease. These platforms manage complex real-time media streaming infrastructure behind the scenes, allowing developers to focus entirely on crafting the user experience. 5 Transcribe, highlighting its impressive latency, accuracy, and expansive language support.

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