---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/audio-isolator/use-cases/remove-background-noise/openclaw
---
# How to Remove Background Noise with OpenClaw

OpenClaw automates audio noise removal through batch processing pipelines. Feed in multiple recordings and produce cleaned versions with consistent quality in one pass. This systematic approach is built for teams that regularly process large volumes of recordings -- support calls, meeting archives, or field interviews.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Remove background noise from this recording"
3. OpenClaw isolates the voice and removes noise
4. Verify the quality of the cleaned output
5. Download and use the clean recording

## Example Prompt

```
Clean up this outdoor interview recording. Remove wind noise and traffic while keeping the voices clear.
```

## Tips

- Process recordings as soon as possible while you remember the context
- Use cleaned audio for both final delivery and as input for transcription
- Ask for the noise-only track too -- useful for verifying nothing important was removed
