Apps Like LIBRO for iPhone and iPad
LIBRO screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.


The Weight Gain App
Strongr Fastr LLC
Plan meals, shop, and train
Create weekly meal plans tailored to keto, paleo, vegetarian, and vegan diets. Generate shopping lists based on meal plans.

NutriAI: AI Food Scanner
Luca Ulizi
Snap meals, track macros, log calories
Scan meals with the camera to automatically track calories, protein, carbs, and fats. Receive a health score with analysis of nutritional benefits and potential concerns. Set goals and monitor progress over time.

Noot: AI Calorie Diet Coach
GM LAP LIMITED
Track calories, plan meals, get advice
Track calories and macros with AI-powered scanning. Log meals in a food diary. Receive instant meal plans and prep ideas. Get personalized advice and habit tracking for weight management.

FitCal: Calorie Counter
FITCAL LTDA
Log meals, track intake, stay consistent
Log meals and track nutritional intake with AI-powered insights. Set daily targets based on personal goals. Monitor progress with detailed reports and adjust plans as needed. Sync data across devices for consistent tracking.




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.



SuperCook-Calorie Meal Planner
Kevin Galoa
Find recipes by ingredients
Find recipes based on available ingredients. Track nutrition with automatic calorie counting. Set dietary goals and monitor progress. Save money by reducing food waste. Sync recipes and plans across devices.



Protein Tracker Pro
Cemal Sfenjeh
Track intake and workouts
Log intake by scanning barcodes or manually entering food items. Track daily goals and progress. Set reminders for meals and supplements. Sync data across devices and view detailed nutritional breakdowns.





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