Apps Like Ninja Fit: Ai Calorie tracker for iPhone and iPad
Ninja Fit: Ai Calorie tracker screenshots
Ranked alternatives
Showing 261–280 of 1,000 ranked alternatives.
CalSnap - AI Calorie Counter
Trinh Muoi
Capture meals, track calories, analyze nutrition
Capture food images to analyze calories and protein content. Use AI to estimate macronutrients. Save meals and track daily intake. Set dietary goals and receive feedback. Sync data across devices.
furo.fit: Wellbeing Community
FEETAPART WELLNESS PRIVATE LIMITED
Join colleagues, choose activities, unlock fitness plans
Track nutrition with personalized meal plans and calorie tracking. Log workouts and monitor progress. Join a for social support. Set and complete fitness challenges. Sync data with Apple Health. Receive personalized activity recommendations.
Apex Fit Programming
AF Studios LLC
Track workouts and meals
Track workouts and view progress toward fitness goals. Schedule training sessions and set personal s. Log meals and manage nutrition based on coach recommendations. Receive push reminders and message coaches in real-time.
Nutricapture - AI food tracker
ShannonAI Technology HK Limited
Snap and track your meals automatically
Snap a photo of your meal to automatically identify items and calculate calories and nutrients. View detailed nutritional information including protein, carbs, and fats. Track daily intake and set dietary goals.
REEZ - AI Calorie Tacker
MAIDEN LABS LLC
Track calories, count macros, plan meals, generate
Log meals with AI-powered food recognition and barcode scanning. Track calories, macros, and nutrients. Generate personalized meal plans and recipes. Set goals and receive real-time feedback for weight management and dietary optimization.
008 Fit
Octavia Bond
Track workouts and meals daily
Create personalized workout and meal plans based on fitness goals. Log daily exercises and meals, track progress with check-ins, sync with fitness bands and health kits. View real-time analytics and updates.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.