Apps Like Fit-Stitch Progress Tracker for iPhone and iPad
Track weight and progress photos.
The app tracks weight and progress photos to show changes beyond the scale. Users can tag snapshots, create comparisons, and sync data via iCloud.
Fit-Stitch Progress Tracker screenshots
Ranked alternatives
Showing 401–420 of 1,000 ranked alternatives.



GetFit: Track, Snap & Share
Winn Nguyen
Track workouts and progress photos
Track workouts with sets, reps, and weight logging. progress photos and connect with other lifters. View training history and compare results with peers.


90 Day Workout Tracker 1
Jared Grant
Track workouts, sync data, back up progress
Track workouts over 90 days with intensity levels for toning, strength, and endurance. Log exercises, view progress charts, and set goals. Sync data across devices using iCloud. Backup workouts automatically to iCloud.








Cal Daddy - AI Calorie Tracker
Cal Daddy LLC
Track meals with photos or voice
Track meals by snapping photos or speaking about food. AI analyzes meals to provide , protein, carb, and fat breakdowns. Set dietary goals and monitor progress over time.


SoulPets
友勇 宋
Capture moments with your pets
Log pet milestones, health records, and daily moments in a timeline. Add photos and notes to each entry. Set reminders for vet visits and medication. Export stories and share privately with trusted contacts.



Dynamic TDEE Tracker
Annie Zhou
Calculate with calorie intake and weight trends
Track calorie intake and monitor weight trends over 12 weeks to calculate personalized Total Daily Energy Expenditure. Adjust calculations based on actual data rather than estimates. View current calorie balance and track changes over time.


Fooodpedia
Ilya Chemodanov
Log food with scan, search, or copy
Log food intake by scanning barcodes, searching the database, or manually entering items. Track macros, probiotics, and antioxidants. Sync data across devices and view progress charts. Set nutrition quizzes and use dark mode.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.