PurityLens - Skincare Checker

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About this app

Do you really know what you're putting on your face every day?

PurityLens is an AI-powered skincare ingredient analyzer that lets you photograph any product label and receive a detailed safety report — no chemistry degree required.

🔍 HOW IT WORKS
1. Take a photo or select from your gallery
2. Our AI reads and identifies every ingredient
3. Results stream in 4 stages with real-time progress (first analysis typically takes 30–90 seconds)

✅ WHAT YOU GET
• Overall safety score (0–100)
• Per-ingredient risk cards with plain-English explanations
• Cross-referenced against 4 regulatory databases: EU CosIng, US CIR, TW TFDA, Japan MHLW
• Skin-type specific alerts (sensitive, dry, oily, combination)
• Special warnings for pregnancy, breastfeeding, and acne-prone skin
• Allergen flagging for known personal sensitivities

📚 DATABASE COVERAGE
• 80+ common skincare ingredients fully catalogued
• EU CosIng restricted substances list
• US CIR safety assessments
• Taiwan TFDA cosmetic ingredient restrictions
• Japan MHLW cosmetic standards

📁 FEATURES
• Scan history — review past analyses anytime
• Favorites — save ingredients you love or want to avoid
• Traditional Chinese (TW, HK) interface
• Sign in with Google for cross-device sync (optional)

🔒 PRIVACY FIRST
Photos are used for analysis only — deleted from our servers immediately after processing. No personal data is sold or shared. Full privacy policy at https://puritylens.smartrich.ai/privacy

FREE PLAN
• 3 free analyses per month
• Full ingredient database access

PREMIUM (NT$390/year)
• 300 analyses per month
• Priority AI processing
• Early access to new features

Note: PurityLens provides informational analysis based on publicly available safety data. It is not a medical device and does not provide medical advice. Always consult a dermatologist for skin concerns.

What’s new

• New: Monthly subscription with 3-day free trial then auto-renew monthly
• Fixed: Subscription failed to load in certain regions
• Improved: Ingredient scoring accuracy for common bases