Gemini 3.5 Transcribe Sets New AI Transcription Standard
Google's Gemini 3.5 Transcribe offers more precise speech-to-text with improved handling of background noise and jargon.

The update
Google has launched Gemini 3.5 Transcribe, a new speech-to-text model designed for more accurate transcription of audio. Unlike conventional models, this technology converts raw audio directly into polished, formatted text, addressing challenges like background noise and complex jargon. The model is available through two separate APIs: the Live API for real-time streaming with sub-second latency, and the Interactions API for processing pre-recorded audio with speaker attribution and word-level timestamps.
Why it matters
This advancement could transform how professionals handle audio content across industries like media, legal, and research. The model is already being used in Google’s consumer products and is now available to developers through the Gemini API in Google AI Studio and Gemini Enterprise Agent Platform, enabling the creation of more sophisticated voice applications.
What to watch
How developers implement Gemini 3.5 Transcribe in voice agents, real-time captioning tools, and post-call analytics pipelines. The model’s ability to capture natural speaking styles and recognize custom vocabulary may lead to new applications in various industries.
Sources
- Google DeepMind Blog — Primary source for Gemini 3.5 Transcribe announcement
- Google Blog — Corroborating details about the transcription model
