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Remove filler words like "um" and "ah" from your audio recordings.
id="app-details-left"> OG Landing page Inspiration Scrolling Reddit threads full of creators complaining about “ums” and “ahs” sparked an idea. Market research showed a genuine pain point, and curiosity about just how far AI audio processing has come pushed me to prototype. What it does ClipClean ingests any audio (or video) file, pinpoints filler words like “um”, “uh”, “ah”—and instantly regenerates the affected fragments so the speaker sounds natural and confident. How we built it 100 % vibe-coding in Bolt.new. Whisper API → word-level transcript GPT-4o reasoning over those timestamps to…
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