Gemini 3.5 Transcribe (blog.google)

Gemini 3.5 Transcribe has been launched as Google’s most precise speech-to-text model, designed for intelligent voice interactions. It overcomes limitations of traditional speech recognition systems by converting raw audio into polished and formatted text, capable of handling complex jargon, background noise, and disfluencies seamlessly. This model improves upon its predecessor, Chirp 3, with a significant enhancement in accuracy and response time, achieving a Word Error Rate (WER) of just 2.6% for non-streaming uses and 4.0% for real-time applications. Notably, it supports over 85 languages and includes features for multi-speaker identification, custom vocabulary recognition, and smart transcription that eliminates filler words. The significance of Gemini 3.5 Transcribe lies in its potential to revolutionize voice-driven technologies by allowing developers to easily build interactive applications, real-time captioning tools, and analytics platforms using the Gemini API. Its integration into various Google products, including the Gemini app and Google Antigravity, enhances usability by enabling voice commands and context-aware interactions. The model facilitates a smoother user experience across platforms, making complex workflows more intuitive. Early adopters, including companies like Vivo and Intellitek Health, have lauded its performance, further demonstrating its implications for advancements in AI and machine learning-driven voice technology.