# AI noise remover: remove background noise

Clean audio and video with noise removal that keeps the speaker's own voice.

## About noise removal

Audo's AI noise remover works on audio (WAV, MP3, M4A, AAC, FLAC, OGG, Opus, WebM, AIFF) and video (MP4, MOV, MKV, WebM, AVI) up to 100 MB without an account, free for the first minute of each file, 3 times a day, with no sign-up. A minute of audio is usually ready in about 10 seconds, and a 20-minute recording in about a minute.

It reduces steady noise, such as a fan, air conditioning, hum, hiss, traffic, and wind, and sudden noise, such as a barking dog, clattering dishes, or chatter in a restaurant. The examples above are a busy restaurant, a street, a barking dog, and a windy day. Audo's noise reduction only takes noise out and adds nothing, so your voice stays as it was recorded.

To isolate a speaking voice from background chatter, music, and outdoor sounds, use Voice isolator. If the voice itself is the problem, such as echo, a poor microphone, a muffled or phone-line sound, or distortion, use Audio enhancer instead: it rebuilds the voice, while Remove noise leaves it as recorded.

Tool: Remove noise (`remove_noise`). The same tool's other pages: https://audo.ai/remove-noise-from-video.md, https://audo.ai/remove-music-from-video.md, https://audo.ai/voice-isolator.md, https://audo.ai/remove-static.md. Price: 3 credits a minute — $0.03/min ($1.80/hr), with no subscription — of input for whole files, charged only when a job succeeds.

## Free API

```bash
curl -F file=@interview.wav https://audo.ai/api/try/remove-noise -D response.headers -o response.body
```

Read response.headers and response.body before naming media. Handle 202, 200 JSON and errors with the complete response client at https://audo.ai/docs/api#responses.

Free for the first minute of each file, 3 times a day per person, with no key or account. Uploads up to 100 MB, 2 at once from one address. The response is the result itself; a job that runs longer than about 30 seconds returns 202 with a link to check on it. With an API key (`-H "Authorization: Bearer $AUDO_API_KEY"`), omitting free runs the whole file with credits if the balance covers it, otherwise the free portion if quota remains. Set free=true to prohibit spending; for paid whole files use free=false with an approved positive max_credits. A free result cut short comes with finishUrl (and the Audo-Finish-Url header when the response is the file itself): give it to the person, who pays there (from $5, no sign-up), and the whole file runs; keep checking the status link, whose finishedBy names the whole-file job and its own status link. Details: https://audo.ai/docs/api.md

## Options

Form fields with the same names as the MCP tool's inputs:

- `noise_reduction`: How much of the noise to turn down, as a percentage. 100 turns down all it can; lower values keep some of the background. Default 100.
- `auto_volume`: Sets the whole file to -16 LUFS with one gain, and limits peaks to -1 dBTP. It doesn't balance loud and quiet speakers. Default true.
- `output_format`: The result's format: same (as the input; a video stays a video), wav, mp3, m4a, or flac. Default same.

## Languages

Any language: it works on the sound, not the words.

## From an assistant (MCP)

Add https://audo.ai/mcp and sign in (setup for each assistant: https://audo.ai/setup.md). The tool is `remove_noise`:

> Turns down background noise, hiss, hum, and room noise behind speech, keeping the speaker's real voice: it filters the recording and adds no sound of its own. Then sets the file to -16 LUFS. Made for voices: music and other sounds are turned down too. Works on video. Use it when the voice is fine but there's noise behind it. Not for echo, phone, or damaged audio (enhance_voice). Set free to true to do the first minute at no cost, up to 3 times a day; otherwise it costs 3 credits a minute, charged only if the job succeeds. Returns job_id; then call get_job.

Example: "Use Audo to remove the background noise from interview.wav and give me the result as an MP3."

## More

- Every tool: https://audo.ai/llms.txt
- OpenAPI: https://audo.ai/api/openapi.json
- This page for people: https://audo.ai/noise-removal