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Zahvox
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Dictate episode notes in Transistor

Transistor runs in the browser, and voice input works in every title, description, and show notes field.

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Transistor hosts podcasts for serious creators, and voice input keeps the episode text consistent across a long season.

Start voice input

  • On Mac press the Fn key twice inside the target field.
  • On Windows press Windows plus H to open voice typing.
  • On Chromebook enable dictation in Accessibility settings.
  • Click into the episode title or description before you speak.

One voice across the season

Speak the description in the same shape every time. That consistency helps listeners scan the feed and helps search engines match the show.

Draft in Zahvox for public copy

For anything published to a podcast directory or a public episode page, dictate the raw thought in Zahvox, tighten the wording, then paste it back. That extra pass keeps the tone steady and removes filler.

Small habits that keep it readable

  • Say punctuation out loud, including commas and periods.
  • Keep one thought per sentence so cleanup is fast.
  • Do a short review pass at the end of every session.
  • Save common phrases in a snippet tool so voice input can call them.

Measure the workflow by output, not by feel

A month into using dictate episode notes in transistor, look at what actually shipped: emails sent, notes filed, posts published, tickets closed. That number is the honest scorecard. The workflow either produced more finished writing than the keyboard-only version or it did not. If it did, keep going and stop second-guessing. If it did not, one specific piece is broken — usually the edit step, not the capture step — and that is the piece to fix next.

Where Zahvox fits after the raw capture

Zahvox is the careful second pass that sits after the raw capture. The browser, the OS, or the app you used for dictate episode notes in transistor gave you words on a page. Zahvox at /tool is where you paste those words, tighten the wording, fix the shape of the sentences, and copy the result back into wherever it needs to live. Raw capture anywhere, careful edit in Zahvox — that is the whole loop, and it stays the same whether the source was a laptop, a phone, or a meeting transcript.
Looking for something else? Browse the full guides library or open the free voice tool and practice as you read.

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