Cleanvoice vs Voice Isolate — Filler Words vs Background Noise

Different tools for different audio problems

Cleanvoice and Voice Isolate both 'clean' audio, but they target completely different layers of a recording. Cleanvoice edits the content of your speech — removing filler words ('um', 'uh', 'like'), long pauses, mouth clicks, and stuttering. Voice Isolate removes environmental problems — background noise, room echo, HVAC hum, and other sounds that came from the recording environment, not from your mouth.

Think of it this way: if you recorded in a perfect sound studio and still said 'um' fifty times, Cleanvoice would fix that. If you spoke perfectly but recorded in a noisy room, Voice Isolate would fix that. Most real-world recordings have both problems to varying degrees.

What Cleanvoice does well

• ●Filler word detection and removal — Cleanvoice identifies 'um', 'uh', 'ah', 'like', 'you know', and other filler patterns across multiple languages and accents. It cuts them from the audio and closes the gaps naturally.
• ●Silence trimming — shortens long pauses between thoughts without making the audio sound unnaturally rushed. Reduces overall episode length while maintaining natural pacing.
• ●Mouth click and lip smack removal — detects and reduces the clicks and pops that close-mic recording picks up from mouth movements. These sounds are especially noticeable on headphones.
• ●Dead air removal — trims extended silence at the beginning, end, and within episodes. Useful for podcast recordings where the host pauses between segments.
• ●Multi-language support — Cleanvoice works in over 25 languages, detecting filler words specific to each language (not just English 'um' and 'uh').

What Voice Isolate does well

• ●Background noise removal — HVAC hum, fan noise, traffic, keyboard clicks, air conditioning, and ambient room sounds. The core noise sources that make home recordings sound unprofessional.
• ●Echo and reverb reduction — the hollow, distant sound from recording in rooms with hard surfaces. De-reverb is technically challenging and not something Cleanvoice attempts.
• ●Environmental sound isolation — separating the speaker's voice from everything else in the acoustic environment: music playing, TV in the background, other people talking nearby.
• ●Voice clarity enhancement — beyond noise removal, improving the overall perceived quality of the voice recording through spectral processing.

Using both tools in the right order

For podcast production that needs both environment cleanup and speech editing, the recommended order is Voice Isolate first, then Cleanvoice. This sequence matters for two reasons. First, Cleanvoice's filler word detection works better on clean audio — background noise can interfere with the algorithm's ability to distinguish 'um' from ambient sound. Second, Voice Isolate's AI processes the full audio including filler words, so running it after Cleanvoice (which has created edited cuts and gap-closes) can produce artifacts at the edit points.

The combined workflow takes 5-10 minutes for a typical 30-minute podcast episode: upload to Voice Isolate (2 minutes), download cleaned audio, upload to Cleanvoice (3-5 minutes for filler detection and removal), download the final version. The result is professional-quality audio with both clean acoustics and polished speech delivery.

Pricing comparison

Cleanvoice offers a free trial (30 minutes, no credit card), then charges $10/month for 10 hours of processing on the subscription plan, or $10 for 5 hours on pay-as-you-go (valid for 2 years). Unused subscription credits roll over up to 3x your monthly limit. Voice Isolate has no subscription — preview any file free, pay $5/hour prorated ($3 minimum) for full downloads. For a podcaster producing four 1-hour episodes per month, Cleanvoice costs $10/month and Voice Isolate costs $12-20/month in per-file charges. For occasional use (1-2 files per month), Voice Isolate is cheaper since there's no recurring fee.