Blood Sugar Monitor - Sug AI app icon

Apps Like Blood Sugar Monitor - Sug AI for iPhone and iPad

by Gabriele Pala★ 4.39 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 501–520 of 1,000 ranked alternatives.

  1. Goby AI – Food & Cosmetic Scan app icon

    Goby AI – Food & Cosmetic Scan

    Get.ng Technologies Limited

    Barcodes, analyze products, get health insights

    Barcodes to analyze and personal care products. Receive personalized health insights based on diet, allergies, and lifestyle goals. Get customized nutrition information, additive details, and ingredient warnings.

    ★ 4.814 ratingsHealth & FitnessFreeData updated 2026-09-06
  1. sugarsugar app icon

    sugarsugar

    Sugar Sugar LLC

    Book appointments and manage your spa visits

    Book appointments and view spa services. Track treatments and payment history. Access educational resources on sugaring techniques. Manage personal profiles and communicate with staff.

    ★ 4.36 ratingsBusinessFreeData updated 2026-09-06
  2. Calorie Tracker Ai - Coti app icon

    Calorie Tracker Ai - Coti

    Kava Oy

    Snap and log meals with AI

    Track nutrition and fitness goals with AI-powered counting and food logging. Snap photos to log meals, get kcal and macro breakdowns. Set dietary goals, monitor progress, and sync with fitness trackers.

    ★ 4.39 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Dru app icon

    Dru

    AL MOUNEER FOR MEDICAL SERVICES

    ★ 5.03 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. Biteme - Nutrition Tracker app icon

    Biteme - Nutrition Tracker

    Onyx Labs LLC

    Track , hydration, and weight goals

    Track , hydration, fitness, and weight goals. Log meals, set goals, and monitor progress. Access food tracking, hydration monitoring, and fitness logging tools. Receive personalized insights and progress reports. Sync data across devices.

    ★ 4.630 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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