A local vision model writes a caption and tags for every image and video on your Mac — searchable in milliseconds. Nothing leaves the machine.
Search by what’s visible.
Completely local
Milliseconds, not minutes
“I searched ‘whiteboard from the sprint’ and it found a photo I never named. That is the whole product.”
“Nothing leaves the machine. I finally have AI search I can run on client footage without uploading a byte.”
“Spotlight knows filenames. Lens knows the receipt, the beach, the Slack screenshot with the hex code. I stopped scrolling Photos.”
“The CLI captioned 4,000 files overnight. The app just opened and the library was already there.”
Lens uses a local AI model to caption and tag every photo and video. Everything runs on your Mac, so your library never leaves your system.
Natural language
Ask for a receipt, a beach, or the Slack screenshot with the hex code
Menu bar control
Live index status and a search field that stays out of the way
Ranked results
Name, path, caption, and recency scored together in a few milliseconds
Automatically understands
Photos, videos, prompts, and captions stay on your Mac. Inference runs on a private loopback runtime — no account, no upload, no API key.
Learn More
Enable Lens MCP to let compatible AI agents search and reason about the photos and videos you choose to share — all from your Mac.
Designed for
The Mac
Lens is a fully native SwiftUI app with a Photos-style grid, Full Disk Access for the real library, and a Metal-accelerated local model runtime.
Download for MacYour media does not have to live on your Mac. Index the external SSDs, hard drives, and archive volumes that hold your photo and video work, then search your whole media system from one place.
To install Lens, run the following command in your terminal: