# Remove echo from audio

Make voices recorded in big or empty rooms sound close and clear. Background noise goes too.

Tool: Enhance voice (`enhance_voice`). The same tool's other pages: https://audo.ai/audio-enhancer.md. Price: 3 credits a minute of input for whole files, charged only when a job succeeds.

## Free API

```bash
curl -F file=@lecture.wav https://audo.ai/api/try/enhance-voice -o lecture-enhanced.wav
```

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"`), the same request processes the whole file with credits. 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 regenerated voice to use, as a percentage. 100 uses all of it; lower values mix back some of the original sound. 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 `enhance_voice`:

> Regenerates speech: removes echo, noise, and distortion, and restores muffled, phone, or low-quality voices. Then sets the file to -16 LUFS. Made for voices: music and other sounds are removed too. Works on video. Use it for echoey, phone, low-quality, or damaged recordings. Not for plain background noise when the voice is fine (remove_noise keeps the real 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 echo from lecture.mp3."

## More

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