Google Introduces Gemini 3.5 Transcribe for Live and Batch Speech Transcription

On August 26, Google introduced Gemini 3.5 Transcribe, a new speech-to-text model designed to transcribe speech in real time and from audio recordings. The company made it available in public preview through the Gemini API in Google AI Studio and through the Gemini Enterprise Agent Platform.

The release has two separate variants. The gemini-3.5-transcribe-live model is designed for ongoing transcription through the Gemini Live API. Its documentation lists low latency and streamed text output. The second model, gemini-3.5-transcribe, is intended for processing recordings and supports assigning individual parts of a recording to speakers, along with word-level timestamps.

Gemini 3.5 Transcribe offers two transcription modes

With the new interface, Google combines speech recognition with options for subsequently editing text. The API supports automatic language detection, a custom vocabulary, and two output modes: verbatim and edited transcription.

The verbatim mode is intended to preserve spoken language, including filler words. The edited mode, also called Smart transcription, may remove filler words and adjust the formatting of the resulting text. Such output may be useful, for example, for meeting notes or dictation, but it may not suit situations where an exact verbatim record of a statement is required.

Slovak is also listed in the supported-language documentation under sk-SK. However, Google does not provide separate accuracy results for Slovak. Practical quality may depend on the recording quality, surrounding noise, the specialized terms used, the number of speakers, and the selected configuration.

Live transcription and recording analysis

The Live variant is aimed at applications that need text during an ongoing conversation or dictation. Streamed output could be used by a voice agent, for captioning, or in a user interface displaying an ongoing transcript.

The recording model, by contrast, is intended to process existing audio. In addition to text, it is designed to provide word-level timestamps and assign segments to individual speakers. These features are relevant to creating transcripts of interviews, podcasts, or work meetings.

Google says Gemini 3.5 Transcribe is also available in the Gemini app for macOS, currently in English. The company is expected to deploy the Rambler feature in the Gboard keyboard for Android, but only in selected countries and languages. Integration into the Chrome browser is reportedly in preparation, with no confirmed date for general availability of dictation in web fields.

Performance claims have not yet been independently verified

In its announcement, Google refers to measurements by Artificial Analysis and attributes to it Word Error Rate figures between 2.6 and 4.0 percent, as well as a 70 percent acceleration in transcript finalization. These figures have not been independently reproduced in the available materials. It is likewise unconfirmed how the stated parameters will perform with Slovak speech or recordings involving a larger number of speakers.

For developers, the key point is that the interface is still in public preview. In the announced materials, Google does not provide complete information about pricing, usage limits, or the conditions for processing voice data during this phase. These details, together with independent latency and accuracy tests, will be important when assessing deployment of the model in production services.

Verified and updated: 08/27/2026 20:15