Google debuts Gemini 3.5 Transcribe, a speech-to-text model that powers Gboard Rambler and is coming to Chrome, in public preview for developers and enterprises

This model is “designed to capture your natural speaking style to better understand your intent and recognize custom vocabulary.”

9to5Google 2026-08-26 Abner Li

Context & Ripple Effects

Google has been building an audio-model family through Gemini 3.1 Flash Live's lower-latency dialogue capabilities, followed by Gemini 3.5 Live Translate's speech-to-speech translation. Gemini 3.5 Transcribe fills the speech-recognition layer, emphasizing intent and specialized vocabulary rather than raw dictation alone.

The model is entering public preview while already powering Gboard Rambler and slated for Chrome, tying a developer-facing API to Google's own input and browser surfaces.

First-order effects

Developers and enterprises can test Gemini 3.5 Transcribe for speech-to-text workflows that need natural-language intent handling and custom vocabulary.
Gboard Rambler gains Google’s new transcription model immediately, while Chrome is positioned as a further distribution surface for the same capability.

Second-order effects

Google can use deployments across Gboard Rambler, Chrome, and the public preview to align its transcription model with the needs of both end users and application builders.
Voice-application teams evaluating Google’s stack can pair transcription with its earlier dialogue, translation, and text-to-speech releases rather than sourcing each audio function separately.

Third-order effects

If the preview converts into broad product availability, Google’s audio strategy points toward an integrated speech-to-signal pipeline in which transcription is the entry point for dialogue, translation, and generated voice.
Embedding the same speech layer in a keyboard and browser shifts competition from standalone transcription accuracy toward control of the everyday interfaces where speech is captured and acted on.

The trend: Google is assembling a multi-model audio stack that turns spoken input into structured, actionable signals across consumer surfaces and developer applications.

Discussion

@sundarpichai Sundar Pichai on x
Say hello to Gemini 3.5 Transcribe! - Build apps that understand user speech / intent, even w/ multiple speakers! - Auto-detection of 85+ languages out of the box - Custom vocab adaptation for specialized jargon... SGTM:) API available now in @GoogleAIStudio and Gemini
@googledeepmind @googledeepmind on x
Gemini 3.5 Transcribe is our latest speech-to-text model for precise and intelligent transcriptions. 🧵
@thorwebdev @thorwebdev on x
Awesome demo by @stefanjblos showing how Gemini 3.5 Transcribe Live plugs into a @visionagents_ai pipeline 🤓🫶
@kat_kampf Kat Kampf on x
Gemini 3.5 Transcribe has arrived! Features real-time streaming, multi-speaker support, and Smart Mode to easily convert raw audio -> polished text Used it to build “Mind the Task” for my commutes 🚅 I speak whatever is top of mind and it gives me a clean, actionable to-do
@vamsibatchuk Vamsi Batchu on x
you can just build things !!! this is such a cool app from @ammaar & a much needed use case with our newly launched Gemini 3.5 Transcribe model 🔥🚀 yap yap yap !!!
@harrisonfjobe Harrison Jobe on x
[1.50] native [2.00] word [2.30] level [2.60] timestamps [3.30] in [3.40] gemini [3.80] 3.5 [4.70] transcribe [5.90] are [6.00] a [6.10] game [6.50] changer [7.00] for [7.20] audio [7.60] and [7.80] video [8.20] editing [8.60] applications [9.90] say [10.00] goodbye [10.60] to
@alisa_fortin Alisa Fortin on x
It's time to say goodbye... to raw, clunky speech-to-text outputs. Gemini 3.5 Transcribe is live in the Gemini API and @GoogleAIStudio! Build with it -⏱️Sub-second streaming with gemini-3.5-transcribe-live (WebSockets) 🫂Speaker diarization and word-level timestamps 📓Custom
@googlecloudtech @googlecloudtech on x
Introducing Gemini 3.5 Transcribe, our latest speech-to-text model—available in two distinct model strings: ⚡ Real-time streaming: gemini-3.5-transcribe-live-preview 📁 Pre-recorded audio processing: gemini-3.5-transcribe-preview Let's talk through them 🧵↓
@gregisenberg Greg Isenberg on x
@OfficialLoganK Love this. Added to my to-do list today: Vibe code a Wispr Flow app using Gemini 3.5 and make it perfect/personalized to me. Here we go!
@visionagents_ai @visionagents_ai on x
Our friends over at @googledevs gave us an early look into their new Gemini Transcribe 3.5 models. We found them to be some of the best real-world transcription models allowing extremely accurate verbatim transcription or a SMART mode filtering out filler words and unneeded
@evanotero Evan Otero on x
Introducing Gemini 3.5 Transcribe: Our latest speech-to-text model designed for precise and intelligent real-time transcription. Try it out in AI Studio: https://aistudio.google.com/ ...
@ammaar Ammaar Reshi on x
Introducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text model, that can handle over 85+ languages, has smart correction, and custom vocabulary. I vibe coded a Wispr Flow like app powered by the model. Demo + open sourcing below!
@officiallogank Logan Kilpatrick on x
Introducing Gemini 3.5 Transcribe, our new speech to text model with smart transcription, function calling, more precise transcription (lower WER), custom vocabulary support, multi-speaker identification, and support for over 85 languages! Also with realtime streaming support!
@patloeber Patrick Loeber on x
Introducing two new Gemini models for transcription/STT🔥 - Gemini 3.5 Transcribe: For transcribing recorded audio with speaker attribution and word-level timestamps - Gemini 3.5 Transcribe Live: For building real-time voice apps
@jastephx Jason Stephen on x
Introducing Gemini 3.5 Transcribe, our most precise speech-to-text model (2.6% WER on non-streaming and 4.0% on streaming). You can try it out in AI Studio and the Gemini API today. https://blog.google/...
@googleai @googleai on x
Today we're introducing Gemini 3.5 Transcribe, our latest transcription model built for incredibly precise, smart dictation across your favorite apps and devices. Remember when traditional speech-to-text meant shouting over background noise, constantly hitting backspace to fix
@googledevs @googledevs on x
🎙️Gemini 3.5 Transcribe is our most precise speech-to-text model yet, designed for intelligent voice interactions. Whether you're building real-time, voice-first interfaces, or transcribing multi-speaker recordings, Gemini 3.5 Transcribe adapts to your needs by: > Transcribing
@googleaidevs @googleaidevs on x
🗣️💬 Say hello to Gemini 3.5 Transcribe, a speech-to-text model that actually understands your codebase. Watch how this latest model filters out spoken hesitation while grounding technical terms, file names, and code variables precisely against the active context while building
@_philschmid Philipp Schmid on x
Today, we're launching Gemini 3.5 Transcribe, our new speech-to-text model with sub-second streaming and intelligent post-processing for agent interfaces. 2.6% WER on non-streaming and 4.0% on streaming. Supports 85+ languages, cleans up conversational disfluencies ("um",
@genevieve__h @genevieve__h on x
Meet Gemini 3.5 Transcribe! 🎙️ Taking you behind the scenes of my voice-driven moodboard app from our launch + a full deep dive into the model. Voice > text all day - so super excited to see what people build with this! Try it out in Google AI Studio and the Gemini API today 🚀 [v…
@thorwebdev @thorwebdev on x
Introducing Gemini 3.5 Transcribe, our most precise speech-to-text model yet, designed for intelligent voice interactions! 💬 Available for both real-time speech and audio file transcription, with support for: 💡 smart transcription: rewrite and format text based on intent. 🌍
@googleaistudio @googleaistudio on x
introducing Gemini 3.5 Transcribe: our most precise speech-to-text model yet, designed for intelligent voice interactions this new model: - seamlessly handles self-corrections - removes filler words to deliver clean, formatted text - understands your natural intent and speaking
@antigravity @antigravity on x
Today, we're introducing Gemini 3.5 Transcribe, our most precise speech-to-text model yet, designed for intelligent voice interactions in Google Antigravity. It pairs screen context and chat history, with your permission, to ensure pinpoint transcription accuracy across file
@google @google on x
We're introducing Gemini 3.5 Transcribe, our most precise speech-to-text model yet 🔊 It turns audio into precise transcription in 85+ languages, removing filler words like “ums” and “ahs” while handling self-corrections and capturing your intent so you can get things done using
Luke Leonhard Luke Leonhard on linkedin
Today is an exciting day and the culmination of work across the Gemini Audio team and so many cross-functional teams across Google. …
r/Bard r on reddit
Intelligent transcription with Gemini 3.5 Transcribe
@ai_for_success AshutoshShrivastava on x
Google just launched Gemini 3.5 Transcribe, its most precise speech-to-text model yet. I built this app using Gemini 3.5 Transcribe and have been playing with the model for quite some time. Thanks to the Google DeepMind team for the early access. It's already available in the
@essjaykay755 Subhojit Karmakar on x
speech-to-text is quietly getting scary good. @Google's Gemini 3.5 Transcribe handles 85+ languages, filler words, self-corrections, even intent. we're getting dangerously close to “just talk, the computer gets it.”

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