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Measured on six things

AI clothes changer and virtual try-on for any photo.

Security

HTTPS enforced and SPF present, but no HSTS, CSP, frame protection, Referrer-Policy or Permissions-Policy, and no DMARC — 3/12 on the header checklist. Privacy claims exist; no audits found.

Screenshots

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WearTryOn

About this app

WearTryOn is a free AI-powered clothes changer that lets you swap outfits in any photo. Upload your picture, choose from a library of tops, bottoms, dresses, or outerwear, and see a realistic preview of the new look. It's designed to preserve your face, pose, and background while editing the clothing. You can also use full outfit mode to try up to three pieces at once, mix presets with your own product photos, and save looks to your closet. The platform prioritizes privacy, with photos kept private and deleted after 30 days. WearTryOn also offers related tools like hairstyle try-on, glasses try-on, and an AI outfit rater. It's perfect for online shoppers, fashion enthusiasts, and anyone curious about how clothes might look on them before buying. The app runs in your browser on any device, and you can start for free without signing in.

Key features

1AI clothes changer that swaps a single garment while preserving face, pose and background
2Full outfit mode: up to three pieces at once (tops, bottoms, dresses, outerwear, shoes, bags, hats)
3Bundle of adjacent tools — hairstyle, glasses, hair color, makeup, outfit rater and Halloween costumes — on one credit balance

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Online fashion shoppers

Pain points

Uncertainty about fit and style when buying clothes online, leading to high return rates.

Primary needs

Visualize how clothes look on their body before purchase to reduce returns and gain confidence.

Demographic

Fashion influencers and content creators

Pain points

Limited budget for buying multiple outfits and need for diverse looks for content.

Primary needs

Quickly generate outfit variations to test styles, engage audiences, and plan posts without physical purchases.

Demographic

Everyday social media users

Pain points

Curiosity about personal style and wanting to experiment with new looks without commitment.

Primary needs

Fun, easy way to try on trendy clothes virtually, share with friends, and get opinions.

Scout Review

Written by AI from measured evidence, scored out of 100.

WearTryOn is a consumer AI clothes-changer that does the core job well and fast. You upload a photo or pick a preset model, choose a garment, and get a before/after preview designed to preserve your face, pose and background. It goes further than most: full-outfit mode with up to three pieces, outfit swap from another photo, live camera try-on, and adjacent tools for hair, glasses, makeup and outfit scoring — all under one credit system. Pricing is honest (free tier, Plus $11/mo yearly, Pro $23/mo yearly) and the guides page is genuinely useful. The measured profile is jagged: speed is excellent (97 mobile / 100 desktop), accessibility is strong (95), design is competent but cluttered, and security is thin (3/12 headers, no audits). It's a solid early-stage tool with a real use case and a copyable moat.

Measure by measure

Usability

Free pre-generated try-on on Ava/Leo needs no sign-in, pricing is transparent with a real free tier, and /guides has dated how-tos. Sidebar clutter and buried upload instructions cost it points.

Design

Consistent dark theme and purple accent, clear before/after labeling. But the homepage embeds a full app UI with a huge empty black result panel and a 15+ item sidebar that buries the hierarchy.

Speed

Lighthouse mobile 97/100 (LCP 2.6s, CLS 0.001, TBT 0ms, FCP 1.2s) and desktop 100/100. Genuinely fast for a page that embeds a full app UI; no lag complaints found.

Security

HTTPS enforced and SPF present, but no HSTS, CSP, frame protection, Referrer-Policy or Permissions-Policy, and no DMARC — 3/12 on the header checklist. Privacy claims exist; no audits found.

Accessibility

Lighthouse accessibility 95/100 with only two failing audits (unnamed buttons, mismatched visible labels). No a11y statement or WCAG claim found, but the automated baseline is strong.

Growth

Real problem (online fit uncertainty), specific consumer wedge vs. B2B rivals like Zeekit and Vue.ai, and a multi-tool bundle. Differentiated but crowded and easy to copy.

Improvement areas

Security headers and third-party assurance: 3/12 checklist points, no HSTS/CSP/DMARC, no SOC 2 or pen-test
Homepage layout: 15+ item sidebar and an empty black 'Example result' panel hurt hierarchy and first impression
Accessibility defects: buttons without accessible names and visible labels not matching accessible names

Design & Usability

WearTryOn's interface is competent and consistent — dark theme, purple accent, clear before/after labeling on results, and a step-by-step flow that scans at a glance. The problem is density: the homepage embeds the entire app, and the left sidebar crams 15+ tools (clothes changer, outfit swap, live try-on, hairstyle, glasses, hair color, makeup, Halloween, outfit rater) into one narrow column with near-identical icons. The 'Example result' panel sits as empty black space until you generate, which reads as broken rather than pending. Usability is better than the layout suggests: you can try a free pre-generated top on Ava or Leo with no sign-in, pricing is transparent (free tier with 10 credits, Plus $11/mo yearly, Pro $23/mo yearly), and /guides hosts dated, plain-language how-tos. The friction is discovery — upload instructions hide in small gray text, and the sidebar invites option paralysis before you've tried anything.

Speed & Security

Speed is the standout. Google Lighthouse measured 97/100 on mobile (LCP 2.6s, CLS 0.001, TBT 0ms, FCP 1.2s) and a perfect 100/100 on desktop — impressive for a page that embeds a full interactive app shell, and there are no lag complaints in the collected evidence. Security is the weak flank. HTTPS is enforced and SPF is published, but the probe found no HSTS, no CSP, no frame protection, no X-Content-Type-Options, no Referrer-Policy, no Permissions-Policy, and no DMARC — 3 of 12 checklist points. The site makes real privacy promises ('Private by default', results deleted after 30 days, 'we never see your card'), and those are good, but there's no SOC 2, ISO, pen-test report, or bug bounty to back them up. For a product that asks users to upload photos of their own bodies, the header hygiene and absent third-party assurance are the gap worth closing first.

Accessibility & Growth

Accessibility lands strong on automation: Lighthouse scored 95/100, with only two failing audits — buttons lacking accessible names and visible labels not matching accessible names. Those are real, fixable defects, and there's no published WCAG conformance statement or multi-language support to point to, so the ceiling is unproven. On growth, the idea is sound and specific: online clothing returns driven by fit uncertainty, plus a creator angle for generating outfit variations. The wedge against the listed alternatives is clear — Zeekit (Walmart) and Vue.ai are retailer/B2B plays, Revery AI is closer but narrower, while WearTryOn is consumer-facing, browser-based, and bundles clothes, hair, glasses, makeup and an outfit rater under one credit balance. That bundle is the differentiator and also the risk: it's a feature set anyone with an image model can clone, and the domain is brand new with only an Instagram presence. Real problem, real wedge, thin moat.

Conclusion

If you shop online and keep returning things because the fit was a guess, WearTryOn is worth twenty minutes — the free tier costs nothing and the core clothes-changer is quick and convincing. If you're a creator or small shop, the credit math is reasonable and the multi-tool bundle saves juggling five tabs. Go in with clear eyes: results are AI previews, not fit guarantees, and the site says so. The bigger caveat is trust infrastructure — for a product handling photos of your body, the missing security headers and absent third-party audits are a real gap, not a nitpick. Try it, keep your expectations on the preview side of the line, and don't treat a generated image as a reason to skip the size chart.

Suggestions for improvement

Add HSTS, CSP, frame protection, Referrer-Policy and DMARC — the 3/12 header score is the cheapest fix on this list.
Publish a security/privacy page with data-retention specifics and, eventually, a third-party audit or bug bounty.
Fix the two Lighthouse a11y failures: give every button an accessible name and align visible labels with accessible names.
Collapse the 15+ item sidebar into grouped categories and give the empty 'Example result' panel a placeholder state.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	WearTryOn	Zeekit (by Walmart)	Vue.ai	Revery AI
Primary audience	Consumers, creators and small shops (browser-based, free tier)	Online shoppers and fashion e-commerce brands	Fashion retailers and enterprises (B2B)	Retailers and shoppers via Walmart's platform
Free tier / no sign-in trial	Yes — free pre-generated try-on on Ava/Leo without sign-in; 10 credits on sign-in	Demo-oriented; pricing typically via brand partnership	No public free tier; enterprise licensing	No public consumer free tier; embedded in retailer experiences
Full-outfit (multi-piece) try-on	Yes — up to three pieces at once (top, bottoms, shoes/bag/hat)	Virtual try-on plus outfit generation for shoppers	Retailer catalog styling and product visualization	Focused on single-garment virtual fitting for retailers
Adjacent beauty/styling tools	Hairstyle, glasses, hair color, makeup, outfit rater, Halloween costumes	Clothing try-on and outfit generation; limited adjacent tools	Fashion retail AI (catalog, styling, tagging); no consumer beauty tools	Clothing-focused virtual fitting only
Pricing model	Free tier; Plus $11/mo yearly (1,500 credits); Pro $23/mo yearly (5,000 credits)	Brand/partnership pricing (no public consumer price)	Enterprise SaaS contracts (no public price)	Enterprise/retailer licensing (no public consumer price)