MacroShift app icon

Apps Like MacroShift for iPhone and iPad

by Traction Point Inc.★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 221–240 of 1,000 ranked alternatives.

  1. GAYA - AI Weight Loss Tracker app icon

    GAYA - AI Weight Loss Tracker

    Magitek Apps Inc.

    Snap food, track calories

    Capture meals with your camera to automatically identify ingredients and calculate calories, protein, carbs, and fats. Track progress without manual entry. No personal data is collected or stored.

    ★ 5.01 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. KKAL AI - Calorie Counter app icon

    KKAL AI - Calorie Counter

    BALANCED LLC

    Track meals with AI and log nutrients

    Track daily and macronutrient intake by photographing meals. AI identifies food items and calculates nutritional values. Log entries into a personalized food diary. Set dietary goals and monitor progress over time.

    ★ 4.9109 ratingsLifestyleFreeData updated 2026-09-06
  3. Chowise app icon

    Chowise

    ZACKERY R FIELD

    ★ 5.01 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. KAAYA: Your Fitness Friend app icon

    KAAYA: Your Fitness Friend

    Twinwing Labs Inc.

    Log meals, track workouts, get coaching

    Log meals by chatting, snapping photos, or speaking. Track workouts through conversation. Receive personalized coaching and calorie counts without manual input. Syncs with health apps for progress tracking.

    ★ 4.848 ratingsHealth & FitnessFreeData updated 2026-09-06
  5. EatFit: AI Calorie & Macro app icon

    EatFit: AI Calorie & Macro

    DZMITRY BARYSEVICH

    Track meals, water, and fitness progress

    Track nutrition, macros, and water intake. Set and monitor fitness and weight loss goals. Plan meals for daily or weekly use. Calculate protein, fat, and carbohydrate intake per kg or lb. Log food and track progress toward health targets.

    ★ 4.8104 ratingsHealth & FitnessFreeData updated 2026-09-29

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.