Skinive offers skin health tracking tools for building a skin care routine.
SkinCareLens
SkinCareLens analyzes skin concerns and suggests skincare routines using Korean skincare expertise and local climate data.

About SkinCareLens
SkinCareLens is a website that analyzes facial skin from an uploaded photo and produces a report on skin concerns such as wrinkles, acne and pigmentation. The site says the analysis covers 16 skin metrics and 14 skin health indicators, and that it uses global dermatological standards with optional Korean skin care parameters.
Recommendations are adjusted to the user's location, using humidity, average UV index and pollution exposure. The site also suggests products available in the user's region and can include Korean skin care imports where requested. The source does not state pricing, and it does not describe how uploaded photos are stored or handled.
Key features
- Analyzes skin concerns from one uploaded clear frontal facial photo
- Evaluates 16 skin metrics, including wrinkles, acne and pigmentation
- Adjusts recommendations based on local humidity, UV index and pollution
- Suggests products available in the user's region, with optional Korean imports
- Offers optional Korean skin care methodology in the analysis
- Provides interface and advice in 14 languages
- Recommendations account for local humidity, UV index and pollution
- Korean skin care options are optional rather than required
- Advice is available in multiple languages
- Analysis requires a photo with full-face framing, at least 400px face width and height, and no makeup
- Using the analysis requires uploading a facial photo to the site
SkinCareLens at a glance
- Website
- skincarelens.com
- Category
- Health & Fitness › Health & Fitness Resources
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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SkinCareLens FAQ
Can I get Korean skin care recommendations if I am not Asian?
Where does the AI get its training data?
How do recommendations vary by location?
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