Gemini 3.5 Transcribe Wants to Make Messy Speech Look Professional

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13:06, 27.08.2026

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  • Your Vocabulary Can Teach the AI What Matters
  • This Can Change The Way You Work

Typing while you speak may soon feel like a thing of the past. Google has introduced Gemini 3.5 Transcribe, a new AI model designed to turn natural speech into clean, readable text.

The model goes beyond basic transcription. It can remove filler words, organize the text automatically and format the result without making you clean up every sentence yourself. You can even edit text with your voice, which could make writing notes, drafts and messages much faster.

Google says Gemini 3.5 Transcribe improves on its earlier Chirp 3 model, especially when people speak different languages. It supports more than 85 languages, including Russian, and can detect language changes during the same recording.

Your Vocabulary Can Teach the AI What Matters

Specialized vocabulary often creates problems for speech recognition. Gemini 3.5 Transcribe tackles this with a custom dictionary. You can add names, technical terms and unusual spellings, helping the model recognize words that standard speech tools might miss.

For recorded audio, the model can also distinguish up to three speakers and add timestamps to individual words. That could make interviews, meetings and research much easier to process.

Google is also working on Gemini 3.5 Live and Live Experimental. These models could improve real time voice conversations, including interruptions and visual understanding. However, Google has not announced their release dates yet.

This Can Change The Way You Work

We think tools like Gemini 3.5 Transcribe could quietly change everyday workflows. You may spend less time typing and correcting transcripts and more time working with the actual ideas.

The model is already available in English through the Gemini app for macOS and as a public preview through the Gemini API. Google also plans to bring it to Chrome.

Want to stay ahead of the latest AI developments? Share this article with your team and explore more AI stories on our blog.

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