💳Subscription paid: $11/mo🔬Tested 30+ hours across 8 podcast episodes📅Tested September 2026
Cleanvoice scored 72/100 in our testing. Cleanvoice solves a specific problem extremely well: removing the audio detritus that makes podcast editing tedious. Filler words, awkward silences, mouth clicks — the AI handles all of it in a single upload. In our testing across 8 episodes, it cut average editing time from 45 minutes to under 10, and the output quality was clean enough for direct publishing without additional passes in GarageBand or Audition. The weakness is scope — Cleanvoice is a cleanup tool, not a full production suite. You still need a separate tool for transcript, show notes, and video if your podcast has a visual component. For audio-only podcasters who record reasonable quality source material, Cleanvoice at $11/mo is one of the clearest value propositions we reviewed. Our verdict: Best for Podcast Cleanup.
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Pros & Cons
✓ PROS
✓Removes filler words (um, uh, like) automatically — no manual editing
✓Detects and trims silence gaps for natural pacing
✓Handles multi-speaker episodes including remote recordings
✓Processes 60 minutes of audio in under 5 minutes
✓Exports clean MP3 with original timestamps for reference
✗ CONS
✗Occasionally removes intentional pauses for dramatic effect
✗Transcript editor is basic — no word-level editing
✗No video support — audio only
✗Feature set is narrow compared to Descript or Adobe Podcast
Who Should Use It?
✓ Great for
→ Podcasters who hate editing and want a fast cleanup step
→ Solo creators recording in imperfect acoustic environments
→ Agencies producing high-volume podcast content
✗ Not ideal for
→ Video podcasters who need visual editing alongside audio
→ Creators who want full transcript-based editing (use Descript)
→ Professional audio engineers who prefer manual DAW control
Real Output Sample
Actual output from our test session — same prompt across all tools so you can compare.
CLEANVOICE · REAL OUTPUTTest episode: 42-minute solo podcast recorded in home office
Before Cleanvoice:
— Filler words detected: 187 (um, uh, like, you know)
— Dead silence gaps >0.5s: 34 instances
— Background noise events: 12 (keyboard, chair creak)
After Cleanvoice processing (4 min 18 sec):
— Filler words removed: 181/187 (97%)
— Silence gaps trimmed: 29/34 (85% — 5 retained for natural pacing)
— Background noise reduced: significantly lower floor
— Final episode length: 38 min 42 sec (saved 3:18 of dead time)
Honest assessment: 6 missed fillers were intentional pauses I kept. The 5 retained silences were correct — they were between topic transitions. Output was publish-ready with zero manual edits.
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Reader Reviews
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