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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.
About Audio Detergent on Product Hunt
“Scan explicit songs before they reach your audience”
Audio Detergent was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #147 on the daily leaderboard. 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.
On the analytics side, Audio Detergent competes within Productivity, Music and Audio — topics that collectively have 711.8k followers on Product Hunt. The dashboard above tracks how Audio Detergent performed against the three products that launched closest to it on the same day.
Who hunted Audio Detergent?
Audio Detergent was hunted by lawson morton. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Audio Detergent including community comment highlights and product details, visit the product overview.
lawson morton