Apps Like Track Group Alcohol App for iPhone and iPad
Track Group Alcohol App screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.







Quitz - Quit Drinking Alcohol
AIBY Incorporated
Track intake and set limits
Track consumption with daily logs and progress charts. Set goals for reduction or abstinence. Receive reminders and motivational messages. Sync data with Apple Health. Monitor patterns and identify triggers. Adjust goals based on progress.



Stop Drinking Alcohol – Quit!
App Diggity, LLC
Track progress, save money, stay motivated
Track time since last drink and calculate money saved from reducing consumption. Access motivational quotes, testimonials, and distractions like music and games to support sobriety. Set reminders and view progress over time.

Alcohol Tracker+
Arda Sen
Track intake and set goals
Track consumption with detailed logging of drinks, quantities, and units. Set daily goals and receive reminders. View progress over time with charts and statistics. Sync data across devices and share reports with healthcare professionals.




Senza: Keto & Fasting
527H, Inc.
Track nutrition, workouts, and mood
Track nutrition, workouts, sleep, and mood to monitor daily progress. Log meals using barcode scanner, restaurant menus, or custom meal builder. Access a database with 1.6 million food items and 5,000 recipes.

Step Away: Alcohol Help
Here and Now Systems LLC
Track progress, set goals, stay accountable
Track daily consumption and set personalized goals. Monitor progress with weekly reports. Access coping strategies and motivational prompts. Connect with support groups and receive reminders for sober activities.




BeSober: Quit Smoking, Alcohol
Kanza Ahmad
Track habits, set goals, stay sober
Track sobriety by creating custom counters for habits like , smoking, or sugar. Set daily goals and receive reminders. Log progress daily and view streaks. Celebrate milestones with achievements. Share progress with friends or support groups.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.