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



Progress Tracker: Longevitrack
Lisalis Technologies LTD
Track habits, manage protocols, stay consistent
Track supplements, exercise, and sleep with detailed logs. Set personalized schedules and customize health activities. Choose from expert-curated categories. Monitor with habit tracking and protocol management.


Al Skin Scanner: mole, rash id
SWIFTTOUCH APPS LTD
Analyze issues and ingredients
Monitor conditions with AI-powered photo analysis to track moles and identify rashes. Evaluate skincare ingredients and receive AI-driven recommendations. Set reminders for skincare routines and view progress over time.



Genomapp: Raw DNA Analysis
Ruben Fernandez Besa
Explore genetic data with visual insights
Analyze genetic data from DNA tests to understand health risks, ancestry, and traits. Visualize results through charts and graphs. Cross-reference findings with scientific studies. Import files from 23andMe, AncestryDNA, and other providers.


Yucca App Food Scanner
Itsmyfood LLC
Scan labels, view nutrition, check ingredients
Scan product labels or barcodes to retrieve ingredient and nutrition information. Identify allergens, additives, and harmful substances. View detailed breakdowns of nutrients and potential health impacts. Share results via social media or email.






Lumi Skin:The Skincare Scanner
Gontech Ventures FZCO
Scan products, view ingredients, choose wisely
Identify products by snapping a photo, scanning a barcode, or searching by name. View ingredient lists and potential allergens. Access detailed product information and compare ingredients across brands.




SmartFit - Wristband
Adsmart Baolun Technology Ltd.
Track sleep and activity stats
Track sleep quality and activity stats. Plan personalized workout schedules. Set daily water and sedentary reminders. Wake up with challenge alarms. Share exercise and sleep data with HealthKit.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.