Podcast & Audio
Post-Production
Upload recording → AI denoise & edit → Export broadcast MP3
// AGENT SESSION LOG
"Clean up episode 12 of my podcast. Remove background noise, normalize loudness to -14 LUFS, trim silence longer than 2 seconds, and export as 128kbps MP3."
// Analyzing audio: 47m 23s, 96kHz stereo WAV
- → Detect noise profile from silence sections
- → Apply noise reduction (sox noisered)
- → EBU R128 loudness normalization to -14 LUFS
- → Trim silence segments > 2s
- → Convert to 128kbps MP3 via ffmpeg
$ ap-audio analyze --input ep12-raw.wav
✓ Duration: 47m 23s · Peak: -2.1 dBFS · Noise floor: -45 dB
$ ap-audio denoise --input ep12-raw.wav --profile auto
✓ Noise profile sampled · Applied: -18dB noise reduction
$ ap-audio loudnorm --target -14 --tp -1.5 --lra 11
✓ Integrated loudness: -23.4 LUFS → -14.0 LUFS (EBU R128)
$ ap-audio trim --remove-silence --threshold 0.02 --min-duration 2.0
✓ Removed 4m 12s of silence · Final: 43m 11s
$ ap-audio convert --mp3 128k --output podcast-ep12-final.mp3
✓ Exported: podcast-ep12-final.mp3 · 41.7 MB · 128kbps
// WHAT THIS SCENARIO SUPPORTS
Adaptive denoising
Auto-samples noise profile from silent sections. Works for HVAC hum, room tone, and recording hiss.
EBU R128 loudness
Industry-standard loudness normalization for podcast platforms (Spotify -14 LUFS, Apple -16 LUFS).
Silence detection & trim
Configurable threshold and minimum duration. Remove dead air without touching speech.
Format conversion
WAV, FLAC, OGG, AAC, MP3 — any codec, any bitrate. Batch convert a whole folder.
Multi-track mixing
Mix intro/outro music with voice track. Set independent volume levels per track.
Audio analysis report
Get duration, peak levels, loudness, and clipping stats before processing.
// DEPLOY YOUR AGENT
Professional audio. Zero manual editing.
Upload the raw recording. Get broadcast-ready audio. No DAW, no plugins, no hourly rate for an audio engineer.