Peacounter app icon

Apps Like Peacounter for iPhone and iPad

by Tobias Weissert★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 441–460 of 1,000 ranked alternatives.

  1. Hit Cal - AI Calorie Tracker app icon

    Hit Cal - AI Calorie Tracker

    Hey Sport Pty Ltd

    Track meals, calories, and macros

    Track meals, calories, and macronutrients with detailed logging. Set and monitor health goals. View micronutrient intake and progress charts. Sync data across devices. Receive nutritional insights and adjust plans based on activity and dietary needs.

    ★ 4.914 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. ShrinkAI app icon

    ShrinkAI

    Lucid Studios LLC

    ★ 5.02 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Paku: AI Calorie Tracker Pet app icon

    Paku: AI Calorie Tracker Pet

    Xiangyu Ren

    Track food with a snap

    Track food by snapping photos for instant and macro logging. Gamify fitness with unlockable worlds and 100+ collectible characters. Receive gentle motivation and celebrate progress without guilt or pressure.

    ★ 5.013 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. Calorie Tracker - NutriAI app icon

    Calorie Tracker - NutriAI

    Roman Ventskus

    Track calories and log meals effortlessly

    Track daily intake with AI-powered food recognition. Log meals by scanning barcodes or拍照. Set dietary goals and monitor progress. Receive personalized nutrition advice and meal suggestions.

    ★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06
  5. Cal GPT - Calorie Tracker AI app icon

    Cal GPT - Calorie Tracker AI

    JEKA LLC

    Track meals, log calories, get insights

    Track meals by snapping photos or describing food. AI identifies items and calculates calories. Log meals, set dietary goals, and view nutritional breakdowns. Sync data across devices and receive personalized feedback.

    ★ 5.06 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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