Quick Takeaways
- Gemini 3.5 Transcribe is our most precise speech-to-text model, excelling in noisy environments and handling complex jargon.
- It offers fast, real-time streaming and accurate processing of pre-recorded audio with speaker attribution and timestamps.
- The model intelligently handles self-corrections, filler words, custom vocabulary, and supports over 85 languages and regional accents.
- Designed for developers, it seamlessly integrates into workflows for voice assistants, captioning, and analytics, with features like function calling.
Introducing Gemini 3.5 Transcribe
Today, a new speech-to-text model named Gemini 3.5 Transcribe launches. It is the most precise version yet. This model improves voice interactions by converting speech into clear, formatted text. Unlike older models, Gemini 3.5 handles background noise, complex jargon, and disfluencies better. Users already notice better transcription quality in apps like Gemini and on Android. This release aims to make voice-based tasks faster and more accurate for everyone.
Functionality and Developer Tools
Gemini 3.5 Transcribe is flexible for developers. It integrates smoothly into workflows for voice agents, live captioning, or analytics. Developers can use two APIs: one for real-time streaming with low latency, and another for processing pre-recorded audio. The real-time API provides fast, interactive transcription. The other captures saved recordings, with extra details like speaker tags and timestamps. These features enable accurate, helpful voice tools in many settings.
Benefits and Adoption
This new model offers many advantages. It recognizes natural speech patterns and custom vocabulary, helping users execute tasks easily. It also removes filler words and corrects itself during speech. The model detects multiple speakers and supports more than 85 languages. Its accuracy remains high in noisy environments, making it reliable for real-world use. As a result, more developers and companies are adopting Gemini 3.5 Transcribe to improve their voice services and deliver better user experiences.
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