Apps Like KenkoSnap for iPhone and iPad
Ranked alternatives
Showing 201–220 of 1,000 ranked alternatives.



AI Calorie Tracker - MacroMap
AEL LLC
Log meals with image or barcode scan
Track meals by scanning images or barcodes and inputting descriptions. Log ingredients for automatic tracking. Set personalized macro goals based on individual needs. Sync health data from your device to monitor nutrition and health metrics.

Helthy – Track Food & Workouts
Chiebuka Onyejesi
Calories, plan , view progress
Calories and macronutrients with personalized nutrition goals. Log meals and , set fitness targets, and view progress charts. Sync data across devices and receive weekly insights to adjust plans.

Nutri Snap: AI Calorie Counter
Roman Savenok
Snap meals, scan instantly, track nutrition
Snap a photo of your meal to automatically count calories, macros, and nutrients. Detect multiple dishes in one image. View instant results with detailed nutrition breakdowns. Track progress with weekly and monthly reports.



Food Journal EatBetter
AI Sparks Labs, LLC
Scan meals, track calories, build plans
Scan meals with AI to analyze nutrition and provide personalized feedback. Track calorie intake and macronutrient breakdown. Set and monitor weight loss, muscle gain, or maintenance goals. Receive tailored suggestions and progress reports.






Nutra: AI Calorie Tracker
Control. Alt. Delete. LLC
Track meals, scan foods, see nutrients
Track calories and macros by snapping photos or searching food items. View instant nutrition facts and personalized insights. Set goals for weight management, energy, or healthy habits. Receive daily summaries and progress updates.


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.




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