AI skincare service that analyzes your skin from a single selfie
Mirri's goal is to help anyone easily and accurately understand their skin condition and find the right skincare direction. No dermatologist visit required, no professional equipment needed — just one smartphone selfie is enough.
Take a Selfie
Take a front-facing selfie with a bare face (no makeup). Shooting under bright, even lighting will give you more accurate results.
AI Skin Analysis
Our deep learning-based computer vision model detects skin texture, color, and patterns. Scoring criteria are automatically calibrated based on your age and gender for a fair evaluation.
View Results
Get scores from 0 to 100 across 7 skin factors, an estimated skin age, and a personalized care routine with recommended ingredients tailored to your current skin condition.
Moisture
Evaluates the skin's surface hydration level. Insufficient moisture leads to dryness, flaking, and tightness, and can weaken the skin barrier.
Pores
Analyzes pore size and density. Pore size varies with genetics, age, and sebum production, and can be visually improved with proper care.
Pigmentation
Measures dark spots, blemishes, and uneven skin tone. Main causes include UV exposure, hormonal changes, and post-inflammatory hyperpigmentation.
Elasticity
Assesses skin firmness and sagging. The decline of collagen and elastin is the primary cause, and it naturally decreases with age.
Wrinkles
Analyzes wrinkle depth and extent around the eyes, forehead, and between the brows. UV exposure, repetitive facial expressions, and dehydration accelerate wrinkle formation.
Redness
Measures redness and visible blood vessels around the cheeks and nose. Sensitive skin, temperature changes, and irritating ingredients can be contributing factors.
Oiliness
Evaluates sebum production and oil distribution. A large difference in oiliness between the T-zone and cheeks suggests combination skin. Excess oil can lead to clogged pores and breakouts.
Skin age is not your actual age — it's an estimated age that comprehensively reflects your current skin condition. It's calculated by comparing your scores across 7 factors against the average for your age group. With consistent skincare, you can maintain a skin age younger than your real age, while neglect may result in a higher estimate.
Mirri combines deep learning-based Computer Vision technology with Large Language Models (LLMs) to analyze skin. The computer vision model detects skin texture, color, and patterns, while the LLM interprets the data to generate user-friendly analysis results and care recommendations.
Mirri's AI skin analysis is for reference only and does not replace medical diagnosis. If you suspect a skin condition or have persistent skin concerns, please consult a dermatologist.
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