Apps Like Panda Note for iPhone and iPad
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.
Lifie - Calorie Tracker
Mobifik Yazilim ve Reklam Teknolojileri Ltd. Sti.
Track calories, macros, and steps
Track calories and macronutrients with personalized goals and recommendations. Log exercises and steps synced with Apple Health. Set smart reminders and receive suggestions. Analyze body measurements and detailed nutrition data for 1000s of foods.
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.
Panda Cal: Al Food Tracker
Shenzhen Yunduoduo Technology Co., Ltd
Track meals and log nutrition with AI
Track intake with AI-powered photo recognition to identify calories, protein, carbs, and fats. Log meals, snacks, or treats instantly without manual entry. Set fitness goals and view progress through a goal-driven dashboard.
AI Calories: Scanner & Counter
Bitlica Inc
Track meals and count calories with AI
Scan food items with AI-powered camera to analyze calories and nutrients. Track meals and daily intake. Set and monitor weight loss goals. Sync data across devices.
Food AI - Calorie Tracker
CODEPAD YAZILIM VE DIJITAL HIZMETLER LIMITED SIRKETI
Snap meals, track calories, analyze macros
Track meals by scanning with AI to calculate calories and macronutrient breakdowns. Add manual entries for supplements or drinks. Set daily goals for calories and macros. Sync data across devices and view progress charts.
AI Protein & Macro Tracker
Silva Operations LLC
Track macros, plan meals, build workouts
Track calories, carbs, and fat with a built-in calculator that adapts to your body, activity level, and goals. Log meals and workouts, set fitness targets, and receive personalized nutrition and training recommendations.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.