auto_cleanup_podcast
Clean up podcast audio with one click: applies DC offset removal, high-pass filter, noise reduction, compression, and safe loudness check. Runs in background and returns a job ID for monitoring.
Instructions
ONE-CLICK PODCAST CLEANUP: Professional broadcast-quality processing. Runs in background — returns a job_id immediately. Use check_pipeline_status to monitor. Safe for badly recorded audio — only reduces peaks if too hot, never boosts.
Pipeline: DC offset > HPF 80Hz > NR 12dB > compress 3:1 (30ms attack, 200ms release) > safe loudness check. Optional: noise reduction (on by default), silence truncation (off by default).
After the pipeline finishes, the user can manually apply LUFS normalization using the loudness_normalize tool if they want to hit a specific streaming target.
Args: remove_noise: Apply noise reduction using first 0.5s as noise profile. Default: True remove_silence: Truncate long silences/dead air. Default: False verify: Measure the audio before and after and report what changed. Costs two extra exports. Set False on very long projects.
IMPORTANT: If remove_noise is True, the first 0.5 seconds should be room tone / silence. DO NOT call this again if a pipeline is already running — use check_pipeline_status instead.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| verify | No | ||
| remove_noise | No | ||
| remove_silence | No |