tovapp app icon

Apps Like tovapp for iPhone and iPad

by Clyph, LLC.★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06

tovapp screenshots

Ranked alternatives

Showing 161–180 of 1,000 ranked alternatives.

  1. 品食 app icon

    品食

    Gaojiua Technology Beijing Co., Ltd.

    ★ 0.00 ratingsReferenceFreeData updated 2026-09-06
  2. Healthy Swappers app icon

    Healthy Swappers

    WELLINGTON COLOURPHONICS ENGLISH SL

    Swap recipes for , guilt-free meals

    Find and save low-fat, low-calorie, and plant-based recipes. Filter by dietary needs like gluten-free or high-protein. View simple ingredients and quick preparation steps. Track meal progress and share recipes with others.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  1. BarcodeNova – Food Scanner app icon

    BarcodeNova – Food Scanner

    Samuel Endale Biru

    Scan barcodes to view calories and health

    Scan barcodes to view calories, ingredients, allergens, and health scores. Check detailed nutritional breakdowns including protein, fat, carbs, vitamins, and minerals. Analyze ingredients and identify potential allergens.

    ★ 5.03 ratingsFood & DrinkFreeData updated 2026-09-06
  2. Nutri365 app icon

    Nutri365

    Dominic Cussigh

    Track meals, scan barcodes, analyze food

    Track meals by scanning barcodes, taking photos, or manually entering food items. Get detailed nutritional information and analyze how meals impact daily goals. Set and monitor dietary targets. Sync data across devices.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Scan halal food: HalalSnap app icon

    Scan halal food: HalalSnap

    Sufiyan Yasa

    Snap and check ingredients

    Food ingredient labels to determine status. Identify ingredients using AI image recognition. Display results as , Haram, Doubtful, or Unknown. Support multiple languages without manual translation. Share results via social media or email.

    ★ 4.816 ratingsTravelFreeData updated 2026-09-06

How we rank alternatives

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