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Avadh LadaniUpload your photo and see how any outfit looks on you with AI. Try Dresses, tops, jackets & more - free to start, fewer returns, no guesswork.
Top comment
Hey Product Hunt 👋 I'm Avadh, founder of SnapCloth - AI Outfit Try-On. This started with a simple frustration: I'd buy clothes online, wait a week, and half the time they just didn't look right on me. Returns, refunds, repeat. The "imagine how it looks on me" gap is still wide open in online shopping. So we built SnapCloth - snap a photo of yourself, pick any outfit, and AI shows you wearing it in seconds. No mannequins, no guesswork. Just you, in the clothes, before you spend a dollar. A few things we obsessed over: *Making the try-on actually look like you - right body, right drape, not a sticker pasted on a photo *Speed - results in seconds, not a loading screen you abandon *Working cleanly on both iOS and Android from day one It's live on both stores right now, and we're actively shaping it with real user feedback, so this launch is partly a "come break it and tell us what's missing" moment. I'll be here all day. I'd genuinely love to hear: *What outfit or look would you test first? *For anyone who's tried other try-on tools — what always felt fake or clunky? Try it out and let me know what you think 👇 📱/🤖 https://snapcloth.app/get Thanks for taking a look 🙏
Comment highlights
How accurate is the fit and drape on different body types, or does it mainly work off standard sizing?
Finally tried a few jackets on with my own photo and it actually looked believable, not stretched or weird like I expected. Wish it had more casual outfit options, but solid for avoiding a bad buy.
About SnapCloth on Product Hunt
“AI Outfit Try-On”
SnapCloth was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #112 on the daily leaderboard. Upload your photo and see how any outfit looks on you with AI. Try Dresses, tops, jackets & more - free to start, fewer returns, no guesswork.
SnapCloth was featured in Fashion (14.5k followers), Artificial Intelligence (473.7k followers) and Lifestyle (1.7k followers) on Product Hunt. Together, these topics include over 116.5k products, making this a competitive space to launch in.
Who hunted SnapCloth?
SnapCloth was hunted by Avadh Ladani. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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