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Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model designed for precise, real-time transcription that handles complex audio environments, filler words, and multi-speaker attribution.

Translation & TranscriptReal-time streaming transcriptionFunction callingCustom vocabulary adaptationAutomatic language detection
Gemini 3.5 Transcribe product interface screenshot
Estimated monthly visits
9M
Data period:
Listed on AIToolly

What Is Gemini 3.5 Transcribe? Product Overview

What the product does and how it is positioned

Gemini 3.5 Transcribe is an intelligent speech-to-text model engineered to convert raw audio into polished, formatted text. It is designed to manage background noise, specialized jargon, and natural speech patterns effectively.

The model supports developers through real-time streaming and pre-recorded audio processing APIs. It integrates into various Google surfaces to provide context-aware transcription and voice-command capabilities.

What Can You Use Gemini 3.5 Transcribe For?

Source-supported ways to use the product

Voice-Driven Interfaces

Developers use the Live API to build high-performance voice agents and real-time captioning tools.

Post-Call Analytics

Organizations process recorded meetings and call logs to generate transcripts with speaker attribution and timestamps.

Transcription Performance and Accuracy

Gemini 3.5 Transcribe offers significant improvements in latency and accuracy compared to previous models. It is optimized to understand intent and recognize custom vocabulary, supporting high performance in diverse environments.

  • Achieves an average Word Error Rate of 4.0% for streaming and 2.6% for non-streaming use-cases.
  • Improves time to final transcription by 70% compared to the previous Chirp 3 model.
  • Supports over 85 languages with automatic detection and regional accent handling.

What to Test Before Choosing Gemini 3.5 Transcribe

Checks to run with your own material and workflow

  • Verify that the integration environment supports the required API, either the Live API for streaming or the Interactions API for pre-recorded files.
  • Check that the custom vocabulary requirements are defined to ensure the model accurately recognizes specialized jargon or unique spellings.

Gemini 3.5 Transcribe Sources and Last Checked

What was checked and when

Last checked

Gemini 3.5 Transcribe Frequently Asked Questions

Answers based on the source-checked product record

What types of audio can Gemini 3.5 Transcribe process?

The model supports both real-time continuous streaming for interactive voice applications and the processing of pre-recorded audio files such as meetings and call logs.

How does the model handle filler words and speech disfluencies?

Gemini 3.5 Transcribe features smart transcription capabilities that automatically identify and remove filler words like 'ums' and 'ahs' while cleaning up self-corrections.

Can the model identify different speakers in a recording?

Yes, the model provides multi-speaker identification for up to three speakers in pre-recorded audio, including word-level timestamps for each attribution.

Does Gemini 3.5 Transcribe support languages other than English?

The model features global language support, capable of automatically detecting and transcribing over 85 languages, including various regional accents and dialects.

How can developers access Gemini 3.5 Transcribe?

Developers can access the model in public preview via the Gemini API in Google AI Studio, the Gemini Enterprise Agent Platform, and Google Antigravity.

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