Speaking naturally is rarely perfect.
People pause, repeat themselves, use filler words, change sentences halfway through, and correct themselves while talking.
Google’s Gemini 3.5 Transcribe is designed to handle exactly that.
Instead of producing a word-for-word transcript filled with verbal mistakes, the model can turn natural speech into cleaner and more readable text.
It can remove filler words, clean up repetitions and corrections, automatically format spoken information, support more than 85 languages and locales, and even handle people switching between languages.
Developers can also provide custom vocabulary containing up to 1,000 specialized terms, while pre-recorded audio supports speaker identification and word-level timestamps.
Google says the model recorded a 5.5% word error rate in streaming transcription on its FLEURS evaluation.
The bigger shift is that transcription is moving beyond simply recording what someone said.
AI is beginning to understand what the speaker was actually trying to communicate.
If you want to know how Gemini 3.5 Transcribe works, where it can be used, and what its limitations are, read the full story on WikiGlitz.
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