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📸 🎥 Media Clusterer

Visualize and search your photos & videos locally using AI. Everything runs in-browser — zero uploads, zero server.

🧠 Built With

🖱️ Controls

  • Pan: Click & drag · Zoom: Scroll/pinch
  • Search: Type a description (requires text model)
  • Resume: Reload your last session

✅ Requirements

  • ✓ Modern browser with WebGPU support (Chrome/Edge 113+) — check yours at webgpureport.org
  • ✓ GPU with ≥4GB VRAM recommended
  • ✓ ~380 MB for vision model + ~134 MB for text search (optional)
  • ✓ Chrome AI: Chrome 138+ with chrome://flags/#prompt-api-for-gemini-nano enabled
  • ✓ Media formats: JPG, PNG, WebP, MP4, WebM

⚙️ Settings

Skip AI model loading. Photos arranged in a grid by folder and date. Much faster, but no semantic search or smart clustering.
Sapiens2 is pretrained on 1B human images — better for photos of people. Chrome AI uses the browser's built-in Gemini Nano to describe images (Chrome 138+ only, requires chrome://flags/#prompt-api-for-gemini-nano). Takes effect on next model load. Switching requires a page reload.
For offline/corporate networks: a HuggingFace-compatible mirror or proxy base URL (e.g. Artifactory). Leave blank to use huggingface.co.
The prompt sent to Gemini Nano to describe each image. Changes apply to new embeddings only. Only shown when Chrome AI is selected.
When a folder has more than this many files, load a random sample of that size. Set to 0 to load all files.
Tight Sparse
Fast Best
Higher = faster embedding. ⚠️ Too high may crash on low-memory devices.
When enabled, no errors are sent to BugSink. Takes effect after page reload.

📡 Couldn't download the model

The model couldn't be fetched from huggingface.co — you may be offline or behind a corporate proxy/firewall. Pick one of the options below, then press Retry.

    Download these on a connected machine (click to open, or copy for curl/wget), then use option A.
    A HuggingFace-compatible base URL. Saved to Settings and reused for future downloads. Leave blank to use huggingface.co.
    EXIF Data