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VoiceKit
Remove filler words from video — entirely on your iPhone
VoiceKit cuts the "ums" and "uhs" out of your videos and audio, generates subtitles, and summarizes what was said — all on your iPhone. Nothing is uploaded, ever. Detection is automatic; you decide what gets cut. One-time purchase, no subscription.
Hi Product Hunt 👋
I'm Kaz, an indie iOS developer from Japan.
I built VoiceKit because I kept re-recording videos over a single "um."
Existing tools do this well — but they upload your audio to a server, and
they're subscriptions. For a meeting recording or a lecture, that felt wrong.
So VoiceKit does everything on the device. Transcription, filler detection,
subtitles, and even summarization run on your iPhone. Not one byte of your
audio leaves it.
One thing I learned the hard way: Whisper doesn't transcribe hesitations.
"Um," "uh," "えー" — it silently drops them, on every model size. So a
dictionary-based approach can't work. VoiceKit instead compares voice activity
against Whisper's word timeline: where there's speech but no word, that's a
filler. It's a bit backwards, but it works.
It's also honest about its limits. Automatic detection won't catch everything —
a quiet "um" that runs into the next word is genuinely hard. So there's a
manual mode: play, mark IN and OUT, done. Automation does the prep; your ears
do the finish.
One-time purchase. No subscription, no account, no tracking.
Happy to answer anything — especially about the on-device side.
About VoiceKit on Product Hunt
“Remove filler words from video — entirely on your iPhone”
VoiceKit was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #66 on the daily leaderboard. VoiceKit cuts the "ums" and "uhs" out of your videos and audio, generates subtitles, and summarizes what was said — all on your iPhone. Nothing is uploaded, ever. Detection is automatic; you decide what gets cut. One-time purchase, no subscription.
On the analytics side, VoiceKit competes within iOS, Artificial Intelligence and Video — topics that collectively have 590.1k followers on Product Hunt. The dashboard above tracks how VoiceKit performed against the three products that launched closest to it on the same day.
Who hunted VoiceKit?
VoiceKit was hunted by kou-works. 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.
For a complete overview of VoiceKit including community comment highlights and product details, visit the product overview.
kou-works