Apps Like oorish Shop List & Cal Tracker for iPhone and iPad
Ranked alternatives
Showing 301–320 of 1,000 ranked alternatives.






HealthyBox - هيلثي بوكس
BLOCK 6 CO. FOR WEBSITES MANAGEMENT AND DESIGN & COMPUTING INTEGRATED SOLUTIONS WLL


Hit Cal - AI Calorie Tracker
Hey Sport Pty Ltd
Track meals, calories, and macros
Track meals, calories, and macronutrients with detailed logging. Set and monitor health goals. View micronutrient intake and progress charts. Sync data across devices. Receive nutritional insights and adjust plans based on activity and dietary needs.



AI Diet Coach Tracker: Nutrevo
Paul Thomae
Track calories, plan meals, and reach goals
Track calories and log food with photo, barcode, or label scanning. Plan meals using AI-powered coaching and personalized nutrition advice. Set health goals and receive tailored guidance for weight loss, muscle building, or smarter eating.


Meal Plan & Tracker: NutriPlan
Son Le
Meals, track nutrition, scan food
Create custom weekly plans based on weight goals, activity level, protein needs, dietary preferences, and calorie requirements.




EatBeat - AI Calorie Tracker
EatBeat OU
Track meals, log habits, and stay healthy
Track meals by snapping photos, scanning barcodes, or manual entry. Analyze nutrient content and calculate calories. Plan meals with smart suggestions. Set goals for weight management and track progress over time.

Intermittent Fasting - Fastik
Viktoriya Avdonina
Track meals, plan fasts, and get AI
Track and eating windows with customizable schedules. Set reminders for meals and breaks. Monitor calorie intake and receive AI-driven recommendations. Sync with wearable devices to log activity and sleep patterns.

AI Meal Planner - Food Scanner
Simple Start Technologies
Scan meals, track nutrients, plan meals
Scan items to track calorie intake and nutrient details. Log meals and set dietary goals. Sync with fitness apps and view progress reports. Receive personalized recommendations based on eating habits.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.