This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Vocal Slice transcribes your audio on your own machine, then lets you cut precise clips by selecting text. Word-accurate, source-quality, fully offline.
If you cut audio for a living, the loop is familiar: scrub to find the line, set the in point, set the out point, name the file, repeat.
Vocal Slice turns that into selecting text. It transcribes the recording, and when you highlight a phrase, the waveform jumps to exactly that span. Drag the handles if the take needs it, then export the clip named to whatever convention your pipeline expects — {source}_{index}_{slug} and so on.
Two decisions worth explaining:
Transcription runs locally. Not on principle — the people I built this for handle unreleased client audio, and "upload it to our servers" is a conversation they'd rather not have. It also means it keeps working on a plane.
Exports come from the original file rather than a re-encode. WAV slices are byte-level copies; other formats decode once at source quality.
Windows and macOS, free for seven days with no account and no card, $29/year after that.
What I'd most like out of this is hearing where it falls short — formats it should read and doesn't, naming conventions it can't express, places it gets in the way. Tell me and I'll fix it.
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About Vocal Slice on Product Hunt
“Cut audio by selecting text”
Vocal Slice was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. Vocal Slice transcribes your audio on your own machine, then lets you cut precise clips by selecting text. Word-accurate, source-quality, fully offline.
Vocal Slice was featured in Productivity (658.2k followers), Audio (2.1k followers) and Radio (365 followers) on Product Hunt. Together, these topics include over 156.6k products, making this a competitive space to launch in.
Who hunted Vocal Slice?
Vocal Slice was hunted by Wesley Scott. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Vocal Slice stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Wesley Scott
If you cut audio for a living, the loop is familiar: scrub to find the line, set the in point, set the out point, name the file, repeat.
Vocal Slice turns that into selecting text. It transcribes the recording, and when you highlight a phrase, the waveform jumps to exactly that span. Drag the handles if the take needs it, then export the clip named to whatever convention your pipeline expects — {source}_{index}_{slug} and so on.
Two decisions worth explaining:
Transcription runs locally. Not on principle — the people I built this for handle unreleased client audio, and "upload it to our servers" is a conversation they'd rather not have. It also means it keeps working on a plane.
Exports come from the original file rather than a re-encode. WAV slices are byte-level copies; other formats decode once at source quality.
Windows and macOS, free for seven days with no account and no card, $29/year after that.
What I'd most like out of this is hearing where it falls short — formats it should read and doesn't, naming conventions it can't express, places it gets in the way. Tell me and I'll fix it.