Audio Noise Remover – Remove Background Noise from Recordings avatar

Audio Noise Remover – Remove Background Noise from Recordings

Pricing

from $4.00 / 1,000 audio minutes

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Audio Noise Remover – Remove Background Noise from Recordings

Audio Noise Remover – Remove Background Noise from Recordings

Noise removal for voice recordings: remove background noise, hum, fans, traffic and room noise from audio or video files. Denoise podcasts, interviews and calls and get clean speech back as MP3, M4A or WAV. $4 per 1,000 minutes.

Pricing

from $4.00 / 1,000 audio minutes

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Developer

Mohit Sawhney

Mohit Sawhney

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

7 hours ago

Last modified

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What it does

Audio Noise Remover cleans voice recordings. Give it links to audio files and it returns the same recordings with background noise removed: fans, traffic, hum, keyboard clicks, room noise, crowd chatter.

Who it's for

  • Podcasters and video creators cleaning up episodes recorded at home or on the go.
  • Course creators fixing lessons recorded with a laptop mic.
  • Apps that handle interviews, voice notes, meetings or call recordings and want clean audio automatically.
  • Workflows in Make, n8n, Zapier or your own code that process audio in bulk.

Results

On a noisy speech test clip, background noise dropped from -35 dB to -73 dB (about 39 dB quieter) while the voice level changed by less than 2 dB. Cleaning runs about 5x faster than real time.

How much it costs

You pay $4 per 1,000 minutes of audio cleaned ($0.004 a minute), rounded up per file. A 2 min 10 s file counts as 3 minutes. Files that fail or are skipped are not charged.

That is several times cheaper than most voice-cleaning APIs, which charge from about $0.01 to $0.12 a minute.

Input

FieldWhat it means
Audio file linksDirect links to the files. MP3, M4A, WAV, OGG, FLAC, WebM, or the sound from MP4/MOV videos.
Cleaning strengthNormal keeps the voice most natural. Strong removes more noise but can thin the voice a little.
Output formatMP3, M4A or WAV.
Longest file to processFiles longer than this are skipped and not charged. Default 120 minutes.

Example:

{
"audioUrls": ["https://example.com/interview.m4a"],
"strength": "normal",
"outputFormat": "mp3"
}

Output

One row per file:

{
"sourceUrl": "https://example.com/interview.m4a",
"outputUrl": "https://api.apify.com/v2/key-value-stores/.../records/clean-001.mp3",
"durationSeconds": 734.2,
"minutesCharged": 13,
"error": null
}

Download the cleaned file from outputUrl. If a file could not be processed, error says why.

Use it as an API

Run it from your own code with the Apify API, or the Python and JavaScript clients:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("mvisiondigital/audio-noise-remover").call(run_input={
"audioUrls": ["https://example.com/interview.m4a"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["outputUrl"])

Good to know

  • Output is mono, which is what speech needs.
  • Works best on speech. It is not meant for cleaning music.
  • Very echoey rooms improve less than noisy ones.
  • Files are processed and stored only in your own Apify storage.