AI Filler Word Detection and Removal
Cleanvoice's core feature detects and removes filler words -- 'um,' 'uh,' 'ah,' 'like,' 'you know,' 'sort of,' and similar verbal tics -- automatically. The AI analyzes your audio, identifies filler patterns, and cuts them while maintaining natural-sounding speech flow. It works across multiple languages, not just English, which gives it an edge over competitors focused solely on English content. The accuracy is strong but imperfect. In clear speech with one or two speakers, Cleanvoice catches 80-90% of fillers cleanly. In fast conversations with overlapping speakers, accuracy drops and the cuts can sound abrupt. The tool doesn't learn your speech patterns over time -- it applies the same rules to every upload. For best results, process each episode and then do a quick 10-minute review pass to smooth out any awkward cuts the AI made.