Apps Like MRIZZ for iPhone and iPad
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.



Ada: Skin Scanner & Analyzer
Egebit Elektronik Hizmetleri Ve Insaat Ticaret Limited Sirketi

NIRA
NIRA Innovations Inc.
Customize skincare routines and track progress
Track laser treatments with an intuitive calendar to monitor usage and schedule sessions. Pair Bluetooth devices for seamless connectivity. Customize skincare routines and receive treatment recommendations based on skin type and goals.

Korean Skincare & Makeup Tips
Riafy Technologies Private Limited
Try routines and beauty
Plan and follow personalized routines with step-by-step guidance. Track product usage and skin improvements. Access tutorials on cleansing, hydrating, and nourishing techniques. Set reminders for daily tasks. Share progress with others.

Facecard: The Looksmaxing App
Maktub Technologies LLC
Optimize appearance with facial analysis
Analyze facial features, symmetry, and aesthetics using AI. Provide detailed reports with actionable recommendations. Track progress over time. Adjust settings for personalized insights. Share results with others.





Youth: Home Workout & Fitness
CM MentalGrowth Ltd
Track body age, personalize workouts, rejuvenate
Track body age with detailed analysis and set reduction goals. Access personalized programs and nutrition plans. Log workouts and monitor progress with charts. Receive guidance on healthy habits and lifestyle changes.



NEXA®
Canfield Scientific, Inc
Capture facial images for skin analysis
Capture high-quality facial images with precision. Analyze skin conditions and provide personalized reports. Track progress over time. Share results with clients for informed decision-making.



Skinsight AI: Korean Skincare
Ornaflow LLC
Analyze skin and build routines
Analyze facial features to create a personalized routine. Track progress over time. Recommend products based on skin type and concerns. Sync with K-beauty methods for hydration and barrier repair.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.