( For interview shows )
Tighten the conversation, keep its rhythm
An interview dies twice: once under its filler words, and once under an editor who cuts every pause and leaves two people talking like a machine. Cast shortens pauses to a natural beat instead of deleting them, and tracks each speaker’s tics separately.
Two people, two sets of habits
Your co-host says “like”; your guest says “you know”. A single global filler list flags both everywhere or neither anywhere. Cast keeps a dictionary per speaker, counts every hit per person, and cuts with edges snapped to quiet points — so the cleanup is surgical, not carpet.
Speakers are labelled by you, in a few clicks — and we say that plainly because the alternative is a guess. On one shared microphone no tool separates two voices reliably, whatever the marketing says; a wrong guess costs more to unpick than a right label costs to type.
- Per-speaker filler dictionaries
- Shorten pauses, don’t flatten them
- Labels, not guesses
- Speakers reusable across episodes
FAQ
01How do I separate two speakers in one track?
Cast does not auto-detect who is speaking. You label speakers by hand: select the text and assign a speaker (⇧S), or set the speaker for a whole paragraph. Speakers are saved to your library and reusable across projects, and each one can have its own filler-word dictionary.
Read more →02How do I remove filler words per speaker?
The Voice Editor finds them for you and lists them. Hesitations — "um", "uh", "mm" — are flagged by default and you can cut them all in one click. Discourse markers like "like" and "so" are detected too, but stay off until you switch them on word by word.
Read more →03What is speaker diarization — and why not guess?
Diarization is a machine working out who is speaking when, from the audio alone, and splitting the transcript by speaker automatically. Cast does not do this — you label speakers yourself, which takes a few clicks and never guesses wrong.
Read more →04How do I get both recordings in?
Upload a file or record straight in the browser — files up to 1 GB each on paid plans, 200 MB on Free. Either way transcription starts automatically as soon as the audio lands, so you can begin editing by text without asking for anything.
Read more →