How to Clean Interview Audio with OpenClaw
Interview audio cleanup with OpenClaw and ToolRouter. Isolate dialogue from any recording.
Tool
OpenClaw automates interview cleanup through batch processing pipelines. Feed in an entire project's worth of field recordings and produce cleaned versions with consistent quality settings in one pass. This systematic approach ensures every interview in a research study receives the same processing treatment.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Audio Isolator tool:
- Ask OpenClaw: "Clean up this interview recording" and provide the file
- OpenClaw isolates the voices and removes background noise
- Review the cleaned output
- Download and use in your production
Example Prompt
Try this with OpenClaw using the Audio Isolator tool
Isolate the speakers from this noisy conference interview. Remove crowd noise, PA system, and echo.
Tips
- Process recordings soon after capture while you remember which parts are important
- Ask for both the cleaned version and the removed noise for comparison
- Even heavily degraded recordings can often be rescued with AI isolation