Cleanvoice
Aggressive one-click audio cleanup for noisy recordings, best when cleaner speech matters more than preserving your exact voice tone.
Excellent cleanup, noticeable voice tradeoff
Cleanvoice performed strongly at removing steady background noise across all three tests, especially AC hum, fan noise, breathing noise, and outdoor ambience. The tradeoff was consistent: every cleaned file changed the speaker’s natural tone, and the AC-only test sounded the most artificial. If your priority is intelligibility in a noisy recording, it works well; if you need the voice to still sound like the original speaker, this was a weaker fit.
In-Depth Review
Our detailed analysis of Cleanvoice — features, performance, and real-world testing.
Feature-by-Feature Breakdown
Background noise removalStrong on steady indoor noise and outdoor ambience, but less reliable on transient sounds and consistently rough on voice authenticity.8.5/10▾
Feature tested: Background noise removal
Result: Passed (8.5/10)
Verdict: Strong on steady indoor noise and outdoor ambience, but less reliable on transient sounds and consistently rough on voice authenticity.
Expected behavior: Cleanvoice cleans spoken audio by suppressing background noise in uploaded recordings. It was exercised on three WAV clips: an indoor talking-head recording with AC + fan hum plus breathing and brief microphone noise, an indoor AC-only recording with breathing noise, and a balcony recording with birds, vehicles, and surrounding outdoor ambience.
Test case: Audio file → Video file
Input type: Audio file
Input used: Input artifact (Audio file): Indoor speech recording with AC and fan noise. — cleanvoice-ai-demos-direction-ac-and-fan-on-1.wav
Observed output: Output artifact (Video file): On the indoor AC + fan clip, Cleanvoice successfully removed AC noise, fan noise, breathing noise, and brief microphone noise around 0:24–0:25, leaving the back — Capcut - Output.mp4
Input artifact: Input artifact (Audio file): Indoor speech recording with AC and fan noise. — cleanvoice-ai-demos-direction-ac-and-fan-on-1.wav
Output artifact: Output artifact (Video file): On the indoor AC + fan clip, Cleanvoice successfully removed AC noise, fan noise, breathing noise, and brief microphone noise around 0:24–0:25, leaving the back — Capcut - Output.mp4
What changed: Audio file transformed into Video file
Test case: Audio file → Audio file
Input type: Audio file
Input used: Input artifact (Audio file): Indoor speech recording with constant AC noise and breathing noise. — cleanvoice-ai-direction-ac-on-fan-off-noise-from-noise-1.wav
Observed output: Output artifact (Audio file): On the AC-only clip, Cleanvoice removed the constant AC noise and most of the breathing noise, producing a much cleaner and more professional-sounding file. Spe — cleanvoice-ai-direction-ac-on-fan-off-noise-from-noise-cleanvoice-1.wav
Input artifact: Input artifact (Audio file): Indoor speech recording with constant AC noise and breathing noise. — cleanvoice-ai-direction-ac-on-fan-off-noise-from-noise-1.wav
Output artifact: Output artifact (Audio file): On the AC-only clip, Cleanvoice removed the constant AC noise and most of the breathing noise, producing a much cleaner and more professional-sounding file. Spe — cleanvoice-ai-direction-ac-on-fan-off-noise-from-noise-cleanvoice-1.wav
What changed: Audio file transformed into Audio file
Test case: Audio file → Audio file
Input type: Audio file
Input used: Input artifact (Audio file): Outdoor balcony speech recording with birds, vehicles, and surrounding environmental noise. — cleanvoice-outside-in-balcony-birds-vehicles-and-surrounding-noise-1.wav
Observed output: Output artifact (Audio file): On the balcony recording, Cleanvoice removed several outdoor background noises, including ambient environmental sound and bird chirping around 0:17, and improve — cleanvoice-outside-in-balcony-birds-vehicles-and-surrounding-noise-cleanvoice-1.wav
Input artifact: Input artifact (Audio file): Outdoor balcony speech recording with birds, vehicles, and surrounding environmental noise. — cleanvoice-outside-in-balcony-birds-vehicles-and-surrounding-noise-1.wav
Output artifact: Output artifact (Audio file): On the balcony recording, Cleanvoice removed several outdoor background noises, including ambient environmental sound and bird chirping around 0:17, and improve — cleanvoice-outside-in-balcony-birds-vehicles-and-surrounding-noise-cleanvoice-1.wav
What changed: Audio file transformed into Audio file
Why it matters / Conclusion: Cleanvoice is very good at removing continuous noise and reducing outdoor ambience, but it is not transparent. The cleaner the file gets, the more likely the speaker’s tone is to sound altered, and transient noises like chair movement can slip through.
Cleanvoice cleans spoken audio by suppressing background noise in uploaded recordings. It was exercised on three WAV clips: an indoor talking-head recording with AC + fan hum plus breathing and brief microphone noise, an indoor AC-only recording with breathing noise, and a balcony recording with birds, vehicles, and surrounding outdoor ambience.
Indoor speech recording with AC and fan noise.
On the indoor AC + fan clip, Cleanvoice successfully removed AC noise, fan noise, breathing noise, and brief microphone noise around 0:24–0:25, leaving the background almost completely eliminated. Speech stayed clear and understandable, but the processed voice sounded noticeably different from the original recording.
Indoor speech recording with constant AC noise and breathing noise.
On the AC-only clip, Cleanvoice removed the constant AC noise and most of the breathing noise, producing a much cleaner and more professional-sounding file. Speech remained understandable, but the speaker’s natural voice characteristics changed noticeably and the result sounded artificial and somewhat robotic compared with the source audio.
Outdoor balcony speech recording with birds, vehicles, and surrounding environmental noise.
On the balcony recording, Cleanvoice removed several outdoor background noises, including ambient environmental sound and bird chirping around 0:17, and improved speech clarity overall. It did not remove the chair movement noise at the beginning, and the cleaned voice still sounded less natural and less like the original speaker.
Batch audio processingUseful for multi-file cleanup, with a speed penalty once several files are uploaded together.▾
Feature tested: Batch audio processing
Result: Partial
Verdict: Useful for multi-file cleanup, with a speed penalty once several files are uploaded together.
Expected behavior: Cleanvoice supports uploading and processing multiple audio files in one workflow, then returning separate cleaned outputs for each file. The researcher observed this during multi-file testing alongside the three audio scenarios.
Test case: Text prompt → Text prompt
Input type: Text prompt
Input used: Input artifact (Text prompt): INPUT
Observed output: Output artifact (Text prompt): OUTPUT
Input artifact: Input artifact (Text prompt): INPUT
Output artifact: Output artifact (Text prompt): OUTPUT
What changed: Text prompt transformed into Text prompt
Why it matters / Conclusion: Batch processing is a real workflow advantage for podcasters, editors, or course creators cleaning several clips at once, but it is not as snappy as single-file processing.
Cleanvoice supports uploading and processing multiple audio files in one workflow, then returning separate cleaned outputs for each file. The researcher observed this during multi-file testing alongside the three audio scenarios.
Multi-format audio uploadThe uploader appears flexible, but the hands-on evidence only directly exercised WAV files.▾
Feature tested: Multi-format audio upload
Result: Partial
Verdict: The uploader appears flexible, but the hands-on evidence only directly exercised WAV files.
Expected behavior: Cleanvoice accepts common audio uploads for cleanup. Across the report, the researcher noted support for WAV, MP3, FLAC, and AAC, while the actual test recordings used in this benchmark were WAV files.
Test case: Text prompt → Text prompt
Input type: Text prompt
Input used: Input artifact (Text prompt): INPUT
Observed output: Output artifact (Text prompt): OUTPUT
Input artifact: Input artifact (Text prompt): INPUT
Output artifact: Output artifact (Text prompt): OUTPUT
What changed: Text prompt transformed into Text prompt
Why it matters / Conclusion: Format support looks good for typical creator workflows, but this specific test report only proves WAV processing end to end.
Cleanvoice accepts common audio uploads for cleanup. Across the report, the researcher noted support for WAV, MP3, FLAC, and AAC, while the actual test recordings used in this benchmark were WAV files.
Pricing & Access
Is This Right For You?
A side-by-side guide based on our hands-on testing.
Use case track record
How Cleanvoice performed in this hands-on background-noise-removal benchmark.
Featured in Rankings
Independent rankings where Cleanvoice was tested and rated.
Banner Preview
How the embed badge will look on your site
Embed HTML
Copy this code to your website source
Quick Integration Guide
- 1Copy the HTML code block above.
- 2Paste it into your site's HTML or CMS editor.
- 3Banner appears instantly on your page.
- 4Links back to your tool profile here.
Similar Tools
Discover more AI tools like Cleanvoice to enhance your workflow.