Google’s new transcription cleans speech before you edit

Google’s Gemini 3.5 Transcribe can turn recorded or dictated speech into cleaner text by removing filler words, applying formatting, using custom vocabulary and detecting more than 85 languages. For a small business, that could mean less transcript tidying, but the source gives no price and accuracy should be tested before replacing a working process.

What does it replace?

The immediate target is the dull first pass after somebody records a meeting, interview or dictated note. According to The Verge’s report, Gemini 3.5 Transcribe can remove words such as “um” and “uh,” format the resulting text and adapt to vocabulary supplied by the user.

That combination could reduce three recurring chores: deleting verbal clutter, fixing layout and correcting unusual spellings or technical terms. It does not remove the need to check meaning. A polished error is still an error, only better dressed.

The custom vocabulary feature may be the most useful part for specialist businesses. Users can supply unique spellings and specialised jargon that would otherwise need manual correction. That matters when a transcript contains terminology that general-purpose transcription handles poorly.

What can it handle?

For prerecorded audio, the model can assign speech among as many as three speakers and attach timestamps to individual words. It also detects more than 85 languages. Together, those capabilities could help with multilingual recordings, small group conversations and workflows where an editor needs to find the audio behind a line of text.

Do not confuse this release with the separate Gemini 3.5 Live and 3.5 Live Experimental updates mentioned before publication. Google later told The Verge those models were not launching with Transcribe and gave no replacement date. The available product in this announcement is Gemini 3.5 Transcribe.

What does it cost?

The source provides no price. That means you cannot yet compare the service cleanly with your current transcription bill or the wages spent on editing. Any confident savings estimate would be decorative accounting.

You can still establish your baseline now. Take a typical recording and note how much time your team spends transcribing, removing filler, identifying speakers, correcting terminology and formatting the result. Once pricing appears, you will have something more useful than a product demo: your own break-even point.

Developer access is available in public preview through the Gemini API using AI Studio and Antigravity. Public preview is enough for experimentation, but the source gives no further detail about commercial terms. Treat a trial as a trial until the missing numbers arrive.

Should you switch now?

Access depends on the platform and location. The English rollout covers all users of the Gemini app on macOS, while selected countries and languages receive Android access through Rambler dictation. Chrome support is planned, although the report gives no launch date.

If your current process works, run a side-by-side test rather than moving everything. Use several real recordings with your normal accents, background noise and terminology. Compare missing words, incorrect speaker labels, formatting errors and the minutes required for final review.

Your next move is simple: collect three representative recordings, prepare a short custom vocabulary list and measure the old and new cleanup time. Adopt Gemini 3.5 Transcribe only if it produces dependable text and the eventual price beats the labour or software cost it replaces.