A doorbell rings on TV. Gina — my wire-haired dachshund — hears it and starts barking. Drag the sliders and watch the extension react.
2Loud uses a sound classification model called YAMNet, built by Google and trained to recognize 521 different audio events — everything from doorbells to dog barks to glass breaking. It's the same technology used in smart doorbells, security systems, and hearing aid research.
The model runs directly in your browser using TensorFlow.js. It processes your tab's audio in short frames, classifies what it hears, and when it detects a sound in one of your selected categories, it smoothly lowers the volume — then brings it back up when the sound passes.
Your audio never leaves your device. There's no server processing what you watch. There's no account to create. There's no cloud processing. The AI runs locally, in your browser, on your machine.
This isn't a privacy policy — it's how the thing is built. The extension only requests two permissions: access to tab audio, and permission to run on streaming sites. No browsing history. No cookies. No identity. If a permission isn't declared, Chrome physically prevents the extension from accessing it.
I'm not an animator or video editor. I illustrated the panels in Gemini, animated the transitions with Flow (Veo), stitched and edited in CapCut, and sourced all the sound effects from Freesound.org under Creative Commons licenses.
The visuals in this video were made with AI. I'd hire a human illustrator if I could afford one right now. This is a budget constraint, not a preference.
Total cost: the time it took, plus $11.99 for a month of CapCut Pro. The AI tools were free tiers.
I'm building this now and sharing it with friends first. Drop your email and I'll let you know when it's ready.
No spam, ever. Just a heads up when you can try it.