Audio Detergent: Scan explicit songs before they reach your audience

Unlike traditional audio management tools that rely on metadata or manually labeled "clean" versions, Audio Detergent actually analyzes the spoken content of your audio files using offline AI. Instead of listening to hundreds or thousands of songs by hand, users simply select a folder, and Audio Detergent scans each file locally, detects spoken profanity, and flags tracks that may not be suitable for public playback.

The Story Behind Audio Detergent If you've ever downloaded hundreds of songs from a DJ pool, music service, or production library, you know the problem. Not every track is labeled correctly. Some "clean" versions still contain explicit words. Others are radio edits with hidden profanity, while some files have no indication at all. The only reliable way to verify them is to listen from beginning to end. For radio stations, DJs, churches, schools, retailers, hotels, restaurants, and event organizers, that's simply not practical. I built Audio Detergent because I wanted a faster, more reliable solution. Instead of spending hours manually checking every track, Audio Detergent automatically scans your local music library using offline AI speech recognition. It analyzes the spoken lyrics and compares them against your profanity blocklist, helping you quickly identify tracks that may not be suitable for public playback. No cloud uploads. No waiting. Your music stays on your computer. Whether you're preparing a broadcast playlist, cleaning up a DJ library, or ensuring background music is family-friendly, Audio Detergent helps you work faster and with greater confidence.

love that it runs everything offline and locally rather than pinging some cloud API, really smart for anyone handling unreleased music libraries. the folder-select workflow sounds dead simple too.