Apps Like EatSnap: Meal & Macro Tracker for iPhone and iPad
Ranked alternatives
Showing 481–500 of 1,000 ranked alternatives.
AI Calorie Counter - CalNinja
SophosAI Inc
Track calories, log meals, and stay informed
Track daily intake with AI-powered food recognition. Log meals by scanning or typing. Set and adjust macro goals. Monitor weight and progress over time. Sync with fitness devices for accurate tracking. Adjust targets based on activity levels.
Kalo - AI Calorie Tracker
OCEAN FLOAT MOBILE LIMITED
Track calories and analyze nutrition
Track food intake with AI-powered photo recognition and plate scanning. Analyze calories, macros, and nutrients in real time. Set weight loss or gain goals. Sync data across devices. Receive detailed nutritional insights per meal.
CalFit AI: Calorie Tracker
William McCracken
Track meals, scan food, get nutrition data
AI Food Analysis – Take a photo of a meal to get accurate , macro, and nutrient data. Track daily intake, set dietary goals, and receive nutrition insights. Sync data across devices and view progress over time.
AI Calorie Tracker & Scanner
OUTDOING APPS PRIVATE LIMITED
Log meals, track macros, count calories
Track food intake by snapping photos or scanning barcodes. Instantly identify items and display counts and nutrition details. Log meals and monitor macros without manual entry. Set goals for weight loss, fitness, or healthier eating habits.
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.
Calorie Counter + Food Tracker
Antony Starkov
Track , scan meals, log calories
Take a photo of to track calories and macronutrients. The identifies ingredients, provides nutritional information, and rates overall health. Users can log meals and monitor dietary progress over time.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.