Apps Like Tag - Basic Calorie tracker for iPhone and iPad
Ranked alternatives
Showing 321–340 of 1,000 ranked alternatives.
AI Calorie Tracker - Nutri
Nar Apps Oyun Yazilim Teknolojileri A.S.
Track meals, water, and workouts
Track meals by snapping photos for automatic food recognition. Log water intake and exercise routines. Monitor progress with detailed insights and set personalized health goals. Sync data across devices for consistent tracking.
Calorie Counter: DietDashboard
Savant Software Systems, LLC
Log meals with AI, voice, or photo
Track meals, macros, and progress with AI-powered food recognition, voice logging, and barcode scanning. Log meals by photo or scan labels. View progress photos and AI-generated inspiration images to monitor dietary changes and set goals.
AI Calorie Tracker: Food Scan
COCONUT AI LLP
Track meals with voice, photo, and AI
Log meals via voice, photo, or AI analysis. Calculate calories, protein, carbs, and fats automatically. Set daily goals and track progress over time. Sync data across devices and view detailed nutritional breakdowns.
Calorie calculation
Roman Konasov
Calculate daily calories based on height, weight,
Calculate daily energy needs based on height, weight, age, and activity level. Provide recommendations for weight loss with weekly meal plans. Track progress and adjust intake accordingly.
Calorie Count From Food Snap
Tawhid Joarder
Log meals, scan barcodes, track nutrition
Log meals by snapping photos, scanning barcodes, or using voice input. Get detailed macro breakdowns and track daily nutrition goals. View visual progress charts, monitor weight changes, and maintain streaks for consistent healthy eating.
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.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.