Apps Like ScanScore.io for iPhone and iPad
Ranked alternatives
Showing 201–220 of 1,000 ranked alternatives.



FitBerry - Healthy Recipes
Riafy Technologies Private Limited
Plan meals, generate lists, shop smart
Plan meals with thousands of nutritious and generate intelligent shopping lists. Set weekly meal plans, track ingredients, and receive recipe suggestions based on dietary preferences and available pantry items.






Smart Bites: Healthy Food Scan
Chris Damman
Track meals and analyze nutrients
Barcodes or search for foods to analyze nutrient profiles. Identify balanced, nutrient-dense options. Track meals and receive feedback on metabolic health impact. Link to health accounts for ongoing monitoring.



ScanIt! - food scanner & diet
Lollipop Technology Co., Ltd.
Scan barcodes and view ingredients
Scan products by barcode to view ingredient details and health benefits. Filter items based on dietary needs or preferences. Save favorite products and track nutritional information. Share scanned data with healthcare providers.

Ingredient Checker-AI Scanner
Semen Sharyhin
Snap and identify food ingredients
Identify food ingredients by snapping a photo or uploading an image. Analyze using machine learning to list ingredients, allergens, and nutritional facts. Provide detailed information for dietary restrictions and health tracking.


HealthMaxx: AI Calorie Tracker
Jason Chi Shing CHAN
Track meals, log workouts, set goals
Track meals by snapping photos and scanning barcodes. Log water intake and set hydration goals. Monitor progress with daily and weekly summaries. Sync data across devices and receive notifications for reminders and achievements.


Cat Food Scanner - Leo
Alpay Vodenicharov
Scan cat and get instant ratings
Scan cat with camera or upload image to assess its safety and nutritional value. Input cat's age, breed, allergies, and health conditions for personalized ratings and ingredient warnings. Track meals and monitor wellness score over time.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.