Apps Like Lift Sync for iPhone and iPad
Lift Sync screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.


MuscleUp: Workout Planner
VISION WIZARD DIJITAL HIZMETLER ANONIM SIRKETI
Plan workouts, track progress, build strength
Create personalized plans based on fitness goals. Track progress and strength gains over time. Access gym and home routines. Adjust exercises and sets according to fitness level. Monitor achievements and set new goals. Sync data across devices.


Lift AI - Gym Workout Curator
Auri, Inc
Train with AI-powered workouts
Create personalized plans based on fitness goals and preferences. Track progress with real-time data and analytics. Adjust routines dynamically using AI feedback. Monitor calories burned and exercise duration.






Any Distance Running Tracker
Any Distance Inc.
Track workouts and monitor progress
Track workouts including , walking, hiking, and biking. Log heart rate, pace, , and calories. View 2D and 3D maps of routes. Support over 90 workout types on iPhone and Apple Watch. Set goals and monitor progress.

LIFT Performance
Connor Clark Fitness LLC
Train with guided workouts and programs
Access training programs led by coaches for guided workouts. Select programs tailored to different fitness levels and goals. Track progress and adjust training based on personal preferences and availability.

WeRise App
Aflete Ltd
Train, eat, and grow stronger together
Offers strength training workouts, Pilates, glute-focused sessions, upper body sculpting, yoga flows, and HIIT. Users can track progress, access nutrition guides, practice mindfulness exercises, and join a community for support and motivation.





GymDone: Workout Planner & Log
Gor Aghavelyan
Track workouts and watch training videos
Follow expert-led videos for all fitness levels. Track progress with smart session recognition. Set goals and receive personalized feedback. Sync with fitness devices for real-time data. View calorie burn and exercise duration statistics.



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