Questions about the outfit finder

Snagfit is a tool that finds and shops an outfit from a single photo. Upload a screenshot or any picture with an outfit in it, and its AI picks out each garment and shows you where to buy it or something close to it. Reading a photo costs 99¢.

Snagfit sends your photo to a vision AI that reads the outfit the way a person would: it identifies each garment on its own, along with its color, cut, and material, rather than treating the whole photo as one item. Each garment it finds is then matched against current shopping listings.

No. Reading a photo costs 99¢, bought one photo at a time, and there is no subscription and no app to download. A photo the AI cannot read is never charged. Signing in with Google is optional and only saves your past uploads so you can reopen them. Buying an item hands you off to that retailer's own store page, so there's no markup added to the price you see.

No. Snagfit runs entirely in your browser, on desktop or mobile, with no app to download and no account needed. Open the site, upload a photo, and the results are right there. Signing in with Google is optional and only saves your past uploads.

Your photo is sent to Snagfit's detection service to identify the items in it. It is never published, shared with other visitors, or used to train an AI model. If you are signed in, the photo is saved to your own history so you can reopen it later, and you can delete it whenever you want. If you are not signed in, it is not saved to an account. Full detail is on the privacy page.

Snagfit searches current shopping listings and matches them to the garment type, color, and style its AI sees in your photo. It also surfaces close alternatives at different price points, so you still have options if the exact item is sold out.

Any image file works: JPG, PNG, WEBP, or a plain screenshot. Large photos are resized in your browser before they're sent for detection, which keeps uploads quick even on a big phone photo. A clear, full-body shot with the outfit unobstructed gives the AI the most to work with.

Yes. The most common use is a screenshot from an influencer's video or post: take the screenshot so it's saved in your photos, then upload that same image to Snagfit. It works the same way regardless of which app the screenshot came from.

Detection works best on a clear, full-body shot where the outfit isn't blocked or cropped. A blurry photo, heavy cropping, or an outfit mostly out of frame can cause a miss. Try a clearer photo of the same outfit.

A reverse image search finds pages that used the same picture; it doesn't tell you what's in it. Snagfit reads the photo itself: its AI identifies every garment in the shot at once and matches each one to a shopping listing, instead of you searching for one item at a time by hand.

Snagfit shows the closest match it can find for each garment, plus similar items and things that go with it. It does not promise an identical product every time. Fast fashion, resale, and vintage pieces sell out or were never sold online in the first place, so a close match is sometimes the most honest result.

Tapping buy sends you straight to that retailer's own product page in a new tab. Snagfit does not currently earn a commission or any other payment from that link, and has no part in the purchase itself: check price, size, and availability on the retailer's page before buying.

Snagfit reads the whole outfit at once, not one item at a time: tops, bottoms, dresses, jackets, shoes, bags, and other pieces in the same shot are each identified separately. If a photo has several garments in it, expect a separate match for each one, not a single result for the whole outfit.

That comparison gets at the idea, though Snagfit doesn't identify a single existing product the way Shazam names a song. Snagfit reads a photo of an outfit, describes each garment in it (the type, the color, the cut), and then searches current shopping listings for something that matches that description. The result is the closest thing available to buy right now, not a lookup of one exact catalog entry.