GlowUp: Fashion Stylist
Your Personal Stylist
About
Visualize yourself in new outfits before you buy. Upload a photo and get personalized recommendations for clothing, jewelry, and makeup, all brought to life with AI-generated mockups.
What's New in GlowUp
2.13
July 21, 2026
* Self-timer in the camera - set 3, 5, or 10 seconds for hands-free captures * Get a notification when your results are ready, even if you leave the app while they're generating * Bug fixes and performance improvements
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Developer apps
FAQ
How does GlowUp visualize new styles on me?
GlowUp uses AI to generate mockups of you wearing recommended outfits. You upload a photo, and the AI analyzes your features to create personalized visualizations of how different styles, clothing, jewelry, and makeup would look on you.
Can I use GlowUp to find specific clothing items?
Yes, GlowUp provides personalized clothing and accessory suggestions. It also features a visual search function to help you find similar items you'll love, making shopping with confidence easier.
What kind of recommendations does GlowUp offer?
GlowUp offers instant outfit ideas, personalized clothing, accessories, and jewelry suggestions. It also provides makeup recommendations and performs smart style analysis tailored to your unique features.
Is GlowUp available on both iPhone and iPad?
Yes, GlowUp is supported on both iPhone and iPad devices, allowing you to access its styling features across multiple Apple platforms.
How often is GlowUp updated?
The latest version of GlowUp is 2.12, and it was last updated on June 3, 2026. This indicates a recent update, suggesting ongoing development and improvements.
What is the age rating for GlowUp?
GlowUp has an age rating of 4+, making it suitable for a wide range of users interested in fashion and personal styling.
Does GlowUp have ads?
No, GlowUp does not contain advertisements. The app is free to use without any ad interruptions.
What is the user sentiment for GlowUp based on its rating?
GlowUp has a perfect 5.0-star rating from one review, indicating a highly positive initial user sentiment. This suggests users are very satisfied with the app's functionality and recommendations.
