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LAVU

Local AI photo search.

Active development2026 — Present

The problem

Finding photos inside a large local collection is surprisingly difficult. You remember a face, a place, or the feeling of a photo — but rarely the filename or the folder it ended up in.

Your library should be easy to explore without having to upload it to someone else’s servers.

The solution

LAVU lets you search your local photo library using images, faces, and AI. It brings the search to your photos, keeping your library on your own computer.

What it does

Start with a photo and find visually similar images in your library. Follow the visual connection instead of guessing a filename.

Find photos of the same person across your collection, even when they’re scattered through different folders.

Local-first

Your photo library stays on your computer. Search is designed around local processing, without requiring a cloud photo upload.

Multiple AI models

Use models suited to different tasks: visual understanding for image search, and face representations for finding people.

A product in progress

LAVU is in active development. This page will grow with product screenshots, release notes, and lessons from building it.

Built with

  • Electron
  • PyTorch
  • DINOv2
  • ArcFace
  • FastAPI
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