Apps Like Makeup Scanner for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.






Glow AI - Look Your Best
Thi Men Pham
Take a selfie, get analysis and tips
Take a selfie to receive a personalized facial analysis, identifying unique features and areas for improvement. Get -up tips, makeup recommendations, and color analysis based on skin tone. View product suggestions and customize beauty routines.






Body & Face Editor: Reshape
,,ALEX DE LA VAILLANT ANTOINE
Edit photos and refine facial features
Edit photos with shaping, facial contouring, and skin smoothing tools. Adjust teeth, slim figures, and refine features. Customize settings for natural results. Export and share edited images directly.

FeKo
Cato Marcus
Celebrate festivals and explore beauty styles
View festival portraits from around the world, each paired with cultural context. Explore details about traditional makeup and fashion. Save favorite images. Share content on social media platforms.

Vegsafe - Personal vegan pocket helper
Artem Umanets
Check ingredients for status
Check food additives, clothing materials, and beauty ingredients for animal origin. Search by E Number or designation. Filter E Numbers by type. View detailed information on over 400 E Numbers, 130 clothing materials, and 100 beauty ingredients.

AI Lens & Identifier - AnyScan
EVERCODE BILISIM DIJITAL YAZILIM HIZMETLERI TICARET LIMITED SIRKETI
Identify objects and get instant insights
Identify objects, animals, and scenes using AI-powered image recognition. Access detailed information about wildlife, collectibles, dishes, and artworks. Explore nature with guided hikes and garden insights. Recognize cat and dog breeds instantly.


PDF: Scanner, converter
Nikita Khromov
Scan documents, convert to , save
Scan documents and convert images to . Combine multiple documents into one or create separate files. Save scanned documents on the Scanner page for later access. Share files directly or save to cloud storage.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.