AI Music Labeler — Chrome Extension (V1, beta)

This extension is currently in beta.

Adds a small AI badge next to artist/track names identified as AI-generated on:

• Spotify web (open.spotify.com)
• YouTube Music (music.youtube.com)
• YouTube (www.youtube.com)

V1 ships with a curated JSON database of known AI artists (extension/data/ai-artists.json). No backend, no tracking.

Install (unpacked)

1. Open chrome://extensions
2. Enable Developer mode (top right)
3. Click Load unpacked
4. Select the extension/ folder in this repo
5. Pin the extension, open one of the supported music platforms, and search for e.g. The Velvet Sundown

Project layout

extension/
├── manifest.json
├── src/
│   ├── background/service-worker.js
│   ├── content/
│   │   ├── entry.js
│   │   ├── shared/       # labeler, badge, observer, store, normalize
│   │   └── platforms/    # spotify, youtube-music, youtube
│   ├── popup/            # popup.html / .js / .css
│   └── common/config.js
├── data/ai-artists.json  # curated seed database
└── assets/               # icons

How it works

• Each content script loads on the target hosts, detects the current platform, and reads the curated dataset from the background service worker.
• A single MutationObserver (debounced via requestIdleCallback) watches the page for added nodes.
• SPA navigation is captured by patching history.pushState/replaceState and listening to popstate.
• The platform adapter extracts artist/track candidates from the DOM (anchors pointing to /artist/, /track/, channel/, etc.) and builds lookup keys (platform:type:id + name:normalized).
• Matches inject a purple AI badge hosted in a closed Shadow DOM (zero CSS leakage).

Updating the curated list

Edit extension/data/ai-artists.json and click Reload bundled database in the popup (or reload the extension from chrome://extensions).

Schema: see the existing entries. Each entry needs at minimum displayName, normalizedName, type (artist/track), and ideally platform IDs for precise matching.

Roadmap

V2

• Community flagging (100 distinct flags → label auto-added) backed by Cloudflare Workers + D1
• Anti-abuse: HMAC install IDs, per-IP rate limits, geo-diversity checks