How an AI photo search app could help you find images

Search by the thing you remember

Traditional gallery search often depends on dates, albums, or labels you added yourself. A visual search experience is intended to let someone start with a simple clue: “show me the photos with the blue sofa,” “find pictures of my dog at the park,” or “pull up the kitchen renovation photos.”

The idea is to search across a personal camera roll using recognizable objects, places, and visual context. Results should make it easy to open the matching original image and confirm it is the right one.

• Find images by object or scene
• Narrow results with a place, time, or extra description
• Organize a gallery with useful categories or tags

How this differs from a photo editor

A photo editor changes how an image looks. Gallery search is about locating an image you already saved. Luma is being planned as a search and organization assistant, not as a filter, retouching, or image-generation app.

That distinction matters when choosing a tool: if you want to remove a background or adjust lighting, look for an editor. If you want to find an old photo without remembering its filename, a gallery search tool is the more relevant idea.

What to consider before using gallery AI

Personal photos can contain sensitive moments and information. Before using any app that analyzes a gallery, check what images are processed, whether they leave the device, how long any data is retained, and how to delete it. Luma is still in development; its final processing and privacy details will be explained before launch.

The examples on this page are product concepts, not results from a working Luma app. The waitlist only collects the information shown on its form and does not access your photo library.