Cleanvoice
Aggressive one-click cleanup for noisy speech when clarity matters more than preserving the original voice tone.
Very strong cleanup, but it changes the voice
- You need to remove steady background noise like AC hum, fan noise, breathing, or outdoor ambience from spoken recordings.
- You care more about intelligibility and cleanup speed than preserving the exact original voice tone.
- You want to batch-clean several audio clips in one workflow.
- You need the speaker’s natural voice character to stay very close to the original.
Feature scores on this page: 8.5/10 (1 scored feature)
Our take
Cleanvoice was consistently strong at removing steady background noise across the three tests: AC hum, fan noise, breathing, outdoor ambience, and bird chirping were all reduced heavily, and batch uploads were supported. The tradeoff is that the processed voice changed every time, with the AC-only sample sounding the most processed, so it fits clarity-first workflows better than jobs that need the original voice character preserved.
In-Depth Review
Our detailed analysis of Cleanvoice — features, performance, and real-world testing.
Feature-by-Feature Breakdown
Background Noise Reduction8.5/10▾
Feature tested: Background Noise Reduction
Result: Passed (8.5/10)
Expected behavior: Cleans spoken recordings by suppressing steady background noise and surrounding ambience. It was exercised on AC + fan noise, AC-only noise with breathing, and outdoor balcony audio with birds and vehicles.
Test case: Audio file → Audio file
Input type: Audio file
Input used: Input artifact (Audio file): Input — AI demos direction ac and fan on.wav
Observed output: Output artifact (Audio file): Successfully removed AC noise, fan noise, breathing noise, and the microphone noise around 0:24–0:25. Background noise was almost completely eliminated, but the voice stayed understandable while sounding noticeably different from the source. — AI_demos_direction_ac_and_fan_on-Cleanvoice.wav
Input artifact: Input artifact (Audio file): Input — AI demos direction ac and fan on.wav
Output artifact: Output artifact (Audio file): Successfully removed AC noise, fan noise, breathing noise, and the microphone noise around 0:24–0:25. Background noise was almost completely eliminated, but the voice stayed understandable while sounding noticeably different from the source. — AI_demos_direction_ac_and_fan_on-Cleanvoice.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): Input — Ai direction ac on fan off noise from noise.wav
Observed output: Output artifact (Audio file): Removed the constant AC noise and most breathing noise, leaving clear speech but a more artificial, robotic vocal character. — Ai_direction_ac_on_fan_off_noise_from_noise - Cleanvoice.wav
Input artifact: Input artifact (Audio file): Input — Ai direction ac on fan off noise from noise.wav
Output artifact: Output artifact (Audio file): Removed the constant AC noise and most breathing noise, leaving clear speech but a more artificial, robotic vocal character. — Ai_direction_ac_on_fan_off_noise_from_noise - Cleanvoice.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): Input — Outside in balcony birds vehicles and surrounding noise.wav
Observed output: Output artifact (Audio file): Removed ambient outdoor noise and bird chirping around 0:17, but failed to remove the chair noise at the beginning; the output was cleaner but less natural than the source. — Outside_in_balcony_birds_vehicles_and_surrounding_noise - Cleanvoice.wav
Input artifact: Input artifact (Audio file): Input — Outside in balcony birds vehicles and surrounding noise.wav
Output artifact: Output artifact (Audio file): Removed ambient outdoor noise and bird chirping around 0:17, but failed to remove the chair noise at the beginning; the output was cleaner but less natural than the source. — Outside_in_balcony_birds_vehicles_and_surrounding_noise - Cleanvoice.wav
What changed: Audio file transformed into Audio file
Why it matters / Conclusion: Best at continuous noise reduction and overall intelligibility, but it is not transparent: the cleaner the result, the more the original voice character changes.
Cleans spoken recordings by suppressing steady background noise and surrounding ambience. It was exercised on AC + fan noise, AC-only noise with breathing, and outdoor balcony audio with birds and vehicles.
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: Processes multiple audio files in one workflow and returns separate cleaned outputs for each file. The evidence covers multi-file uploads and notes that queued clips can run more slowly than single-file jobs.
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.
Processes multiple audio files in one workflow and returns separate cleaned outputs for each file. The evidence covers multi-file uploads and notes that queued clips can run more slowly than single-file jobs.
Audio Format Support▾
Feature tested: Audio Format Support
Result: Partial
Expected behavior: Accepts common audio uploads for cleanup, including WAV, MP3, FLAC, and AAC. The hands-on evidence directly validated the WAV path while broader format compatibility was reported for the other listed 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: The report supports broad audio-format compatibility, but only the WAV workflow was directly validated in the hands-on tests.
Accepts common audio uploads for cleanup, including WAV, MP3, FLAC, and AAC. The hands-on evidence directly validated the WAV path while broader format compatibility was reported for the other listed files.
Pricing & Access
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.
Comments (0)
Need a custom AI solution for this use case?
If you are looking to build a custom speech enhancement, noise reduction, or audio cleanup system for your business or internal workflow, email us at contact@futuresmart.ai.
Found something inaccurate or missing? We try to keep our AI research accurate and useful. If you found outdated information, an issue, or have a suggestion, email us at collaborate@aidemos.com.