audio-speech

Cleanvoice

Name: Cleanvoice
Availability: InStock
Author: AI Demos

Aggressive one-click cleanup for noisy speech when clarity matters more than preserving the original voice tone.

Visit Cleanvoice

Tested on 3 noisy clipsAC / fan / birds cleanupBatch uploadsVoice tone shifts

TL;DR — our verdictUpdated August 2026 · 3 test artifacts

Very strong cleanup, but it changes the voice

Where it wins

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.

Main limitation

You need the speaker’s natural voice character to stay very close to the original.

Pricing (verified plans)

Free 0Standard $30/monthStarter $11/monthPro $90/month

Strongest test artifacts

Background Noise Reduction →

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.

Task-level demo video attached in the report.

In-Depth Review

Our detailed analysis of Cleanvoice — features, performance, and real-world testing.

AI Demos Team

Expert Reviewer

Verified Review

Feature-by-Feature Breakdown

Background Noise Reduction

8.5/10

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Test Summary

Feature tested: Background Noise Reduction

Result: Passed (8.5/10)

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.

audio

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audio

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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.

audio

0:00 / 0:00

Loading audio...

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audio

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Loading audio...

Removed the constant AC noise and most breathing noise, leaving clear speech but a more artificial, robotic vocal character.

audio

0:00 / 0:00

Loading audio...

↓→

audio

0:00 / 0:00

Loading audio...

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.

Bottom Line

Best at continuous noise reduction and overall intelligibility, but it is not transparent: the cleaner the result, the more the original voice character changes.

From our researchRemove Background Noise from Audio and Video Recordings Using AIearlier research

Batch Audio Processing

Useful for multi-file cleanup, with a speed penalty once several files are uploaded together.

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Test Summary

Feature tested: Batch Audio Processing

Result: Partial — Useful for multi-file cleanup, with a speed penalty once several files are uploaded together.

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.

INPUT

Batch workflow test using three audio clips together: AI demos direction ac and fan on.wav, Ai direction ac on fan off noise from noise.wav, and Outside in balcony birds vehicles and surrounding noise.wav.

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OUTPUT

The report says Cleanvoice allows multiple audio files to be uploaded and processed simultaneously, and it provides batch output options. Processing was reasonably fast for a single file, but became noticeably slower when three files were uploaded together.

Bottom Line

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.

From our researchearlier researchRemove Background Noise from Audio and Video Recordings Using AI

Audio Format Support

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Test Summary

Feature tested: Audio Format Support

Result: Partial

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.

INPUT

Format-support check based on the WAV clips tested in this report, plus the report’s stated support for MP3, FLAC, and AAC.

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OUTPUT

The researcher observed support for multiple audio formats including WAV, MP3, FLAC, and AAC. Only WAV files were directly tested in this task, so the broader format matrix is reported but not exhaustively validated here.

Bottom Line

The report supports broad audio-format compatibility, but only the WAV workflow was directly validated in the hands-on tests.

From our researchRemove Background Noise from Audio and Video Recordings Using AIearlier research

Pricing & Access

Free

Free 30 minute creadits

Standard

$30/month

• Includes 30 hours of audio processing per month • Cost: $1.00 per hour • Unused credits roll over up to 3x plan limit • Background Noise Remover • Audio Enhancer (Studio Sound) • Silence Remover • Filler Word Remover • Mouth Sounds & Breath Remover • Video Podcast Editing • Timeline Export • Transcription & Summary

Starter

$11/month

10 hours/month $1.10 per hour All Cleanvoice features included

Pro

$90/month

100 hours/month $0.90 per hour All Cleanvoice features included Best value for heavy users

Pay-As-You-Go Starter

$11

5 hours $2.20 per hour Credits valid for 2 years

Pay-As-You-Go Standard

$20

10 hours $2.00 per hour Credits valid for 2 years

Pay-As-You-Go Pro

$45

30 hours $1.50 per hour Credits valid for 2 years

✓ Use This If

●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.

✕ Skip This If

●You need the speaker’s natural voice character to stay very close to the original.

●Your main problem is transient noises like chair movement, which this report shows can survive cleanup.

●You need verified video-file processing from this research, because the report only directly tested audio files.

audio-speechaudio-editoraudio

Very well. In the AC + fan test, the tool removed AC noise, fan noise, breathing noise, and even microphone noise around 0:24–0:25, leaving the background almost completely eliminated.

Not especially. Across all three tests, the speech stayed clear, but the speaker’s tone and character changed noticeably, and the AC-only sample sounded the most processed and robotic.

Yes, it handled that well. In the balcony test, it removed most outdoor ambience and bird chirping, but it did not remove chair noise at the beginning of the recording.

Yes. The report says multiple audio files can be uploaded and processed simultaneously, with separate outputs for each file. It also noted that processing slows down when several files are submitted together.

The report says Cleanvoice supports WAV, MP3, FLAC, and AAC. However, this hands-on task directly tested WAV files only, so the broader format support was reported rather than exhaustively re-tested here.

No. The report’s hands-on tests were audio-only, so video-file processing remains unverified in this research.