Apps Like DrunR for iPhone and iPad
DrunR screenshots
Ranked alternatives
Showing 201–220 of 1,000 ranked alternatives.
Nutricapture - AI food tracker
ShannonAI Technology HK Limited
Snap and track your meals automatically
Snap a photo of your meal to automatically identify items and calculate calories and nutrients. View detailed nutritional information including protein, carbs, and fats. Track daily intake and set dietary goals.
KCal AI:CalorieTracker&Counter
Hong Kong Cabot Technology Co., Limited
Track calories, plan meals, analyze habits
Track daily water intake with reminders and progress tracking. Log meals by snapping photos for instant nutrient analysis. Receive personalized calorie and macro breakdowns based on dietary goals and habits. Set hydration and nutrition goals.
Goby AI – Food & Cosmetic Scan
Get.ng Technologies Limited
Barcodes, analyze products, get health insights
Barcodes to analyze and personal care products. Receive personalized health insights based on diet, allergies, and lifestyle goals. Get customized nutrition information, additive details, and ingredient warnings.
CalSnap - AI Calorie Counter
Trinh Muoi
Capture meals, track calories, analyze nutrition
Capture food images to analyze calories and protein content. Use AI to estimate macronutrients. Save meals and track daily intake. Set dietary goals and receive feedback. Sync data across devices.
Plateable: Personalized Dining
Plateable LLC
Find meals that match your taste
Set dietary goals and preferences to receive restaurant and menu recommendations. Browse local eateries and dishes that align with your nutritional needs. Filter options based on cuisine, ingredients, and dietary restrictions.
AmplifyHealth
BlueCross BlueShield of Tennessee, Inc.
Access care, track benefits, get support
Access health advisor support anytime. View benefits, coverage, and health programs. Find care options and use cost estimation tools. Receive guidance on next steps for improved health.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.