Apps Like AskFork: Photo Calorie Tracker for iPhone and iPad
AskFork: Photo Calorie Tracker screenshots
Ranked alternatives
Showing 241–260 of 1,000 ranked alternatives.


DASH Diet & Meal Plan
Realized LLC
Track meals and monitor blood pressure
Track daily food intake with barcode scanning and recipe databases. Set plans and goals. Monitor blood pressure readings. Provide nutritional information and portion control tips. Offer educational content on heart-healthy eating.


Youmeal: Recipe Keeper
Saclic Studio
Save recipes, plan meals, track nutrition
Save recipes from Instagram, TikTok, and Facebook with instant formatting and step-by-step instructions. Add recipes from any source. Build grocery lists and plan weekly meals. Get instant nutrition facts for any .




NutriPic: AI Calorie Counter
Mateus Rocha Baviera
Scan meals, get nutrition data, track diet
Scan meals with a photo to get detailed nutritional info, calories, and macros. Track daily intake and nutrient totals. View and nutrient calendars. Store food photos for reference.




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.



Numa - Calorie Tracker
Christo Todorov
Track calories, protein, and water intake
Track daily calories, protein, and water intake with a clean dashboard. View fat and carb breakdowns as needed. Log meals quickly using intelligent food suggestions. Receive adaptive reminders to stay on track.





Food Calorie Tracker App
OZAN YUKRUK
Track , scan barcodes, log meals
Take a photo of your meal to scan and analyze items. The identifies ingredients and calculates calories, protein, fat, and carbs. Track daily intake and set nutritional goals. Sync data across devices and view detailed breakdowns of macronutrients.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.