Audio Noise Remover – Remove Background Noise from Recordings
Pricing
from $4.00 / 1,000 audio minutes
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
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2
Total users
1
Monthly active users
7 hours ago
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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
| Field | What it means |
|---|---|
| Audio file links | Direct links to the files. MP3, M4A, WAV, OGG, FLAC, WebM, or the sound from MP4/MOV videos. |
| Cleaning strength | Normal keeps the voice most natural. Strong removes more noise but can thin the voice a little. |
| Output format | MP3, M4A or WAV. |
| Longest file to process | Files 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 ApifyClientclient = 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.