Apps Like SnapBites for iPhone and iPad
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.



Food Scouter: Calorie Counter
FAT, LLC
Snap meals, track calories, log macros
Scan and analyze items to automatically calculate calories and macronutrients. Track daily intake and set goals for weight loss, muscle gain, or maintenance. Sync data across devices and view progress charts.



HappyPlate: AI Calorie Counter
TensorTaste Inc.
Track meals, log workouts, set goals
Track meals and nutrients with AI-powered food recognition and manual logging. Set and monitor fitness goals. Log workouts and track progress. Sync data with Apple Health. Receive personalized feedback and habit insights.

AI Calorie Tracker ~ Counter
AI CHAT AI ASSISTANT LTD
Track calories, scan meals, log workouts
Track calories and nutrients by scanning food items with AI Scanner®. Log meals and drinks instantly. Set dietary goals and receive personalized insights. Monitor progress with daily and weekly summaries.




Cravely – Eat Healthy Anywhere
Andrei Lungu
Order meals based on your diet
Browse nearby restaurants and view menu items filtered by nutrition goals. Get personalized recommendations based on dietary preferences and fitness objectives. Search for specific dishes and check detailed nutritional information.




Carbs & Cals: Diet & Diabetes
Chello Publishing Limited
Scan food, log meals, track calories
Track food intake by scanning barcodes, food labels, or plates with AI recognition. Search over 272,000 UK food items and compare up to 6 portion sizes. Log meals quickly and monitor carb, calorie, protein, and fat content.



FitCal AI-Calorie Counter&Diet
Beijing Rayenergy Technology Co, Ltd.
Scan foods, track calories, generate recipes
Track calorie and macronutrient intake by scanning holiday foods. Generate personalized festive or keto-friendly recipes based on dietary preferences. Monitor weight loss progress and access fitness guidance for fat burning or muscle building.


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