You're scrolling TikTok, you see someone wearing the perfect outfit, and you think: where did she get that? The comments are useless. The creator didn't tag anything. Sound familiar?
It happens dozens of times a day. You spot a dress, a jacket, a pair of boots that would be perfect for you — but finding the exact item feels impossible. Reverse image search doesn't work on videos. Commenting "outfit details??" rarely gets a reply.
There's a better way.
Traditional outfit identification methods don't work well with video content:
What She Wore is an iOS app that scans any video — TikTok, Instagram Reels, YouTube Shorts — and identifies every piece of the outfit automatically.
Here's how it works in three steps:
When you see an outfit you love, tap the share button on TikTok (or any app). Select "What She Wore" from your share sheet. That's it — the app receives the video link.
The app analyzes the video, detects every visible clothing item and accessory, and searches across thousands of retailers to find exact matches or similar alternatives.
Within seconds, you get a grid of matched products — the top, the bottoms, the shoes, the bag. Each with a direct link to purchase. If the exact item is sold out, you'll see affordable dupes too.
Don't have the video link? No problem. Take a screenshot of the outfit and scan it directly from your camera roll. The app handles both videos and photos.
Unlike Google Lens or Pinterest's visual search, What She Wore is built specifically for fashion. It understands outfits as complete looks, not just individual items. It knows the difference between a structured blazer and an oversized one. It finds the exact shade, not just "a blue dress."
The results include links to actual stores where you can buy — not just "visually similar" images with no purchase path.
What She Wore is free to download on the App Store with 3 free scans. See an outfit you love today? Download the app and find it in seconds.
Share any video to What She Wore and get shoppable matches before the scroll refreshes.