Apps Like Emotionsbite for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.

My Plate Coach - Nutrition App
Health Revolution Oy Ltd
Eat balanced meals without calorie counts
Track meals and snacks with detailed logging. Set personalized goals for weight and health. Receive feedback on nutrition and portion sizes. Suggest balanced meals and healthy recipes. Monitor progress over time with visual reports.




Mood Feel Tracker MoodFeel
Appkruti Solutions LLP
Record moods and track daily feelings
Track by selecting emotions and adding detailed notes about daily experiences. Log moods multiple times a day and review patterns over time. Set reminders and sync data across devices.


Bipolar UK Mood Tracker
Bipolar UK Ltd
Record , track patterns, share insights
Track daily , medications, and emotions. View weekly and monthly overviews to identify triggers, sleep irregularities, and harmful habits. Share data with healthcare professionals for review.

Foodbok — AI Calorie Counter
Pavel Rydvanskiy
Log meals with photo or scan
Track meals by snapping photos, scanning barcodes, or manual entry. Log nutrients, set dietary goals, and view progress reports. Receive AI-driven insights on cravings and energy levels. Sync with health apps and adjust plans based on weight changes.

Gentle: Food Calorie Tracker
BetterApps Limited Liability Company
Track calories, set goals, and stay consistent
Track daily intake with AI-generated meal suggestions. Log meals and snacks, set weight goals, and receive progress updates. Sync with wearable devices to monitor activity and sleep. Adjust targets based on fitness level and health objectives.



Gym Workout Tracker .
LightByte Co., Ltd.
Track reps, duration, and mood
Track workouts with rep, duration, and emotion logging. Analyze performance using stats and charts. Monitor body measurements including height, weight, BMI, and fat rate. Log mood alongside sessions. Create custom templates for gym or home workouts.





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