AI-powered app that tracks calories and nutrition by snapping a photo of meals.
Manual calorie and nutrition tracking is time-consuming, requiring ingredient searches, weighing, typing, and databases, leading to inaccuracies and user frustration.
Manual calorie and nutrition tracking is time-consuming, requiring ingredient searches, weighing, typing, and databases, leading to inaccuracies and user frustration.
AI analyzes meal photos or voice notes to instantly compute accurate calories, macros, and micronutrients using computer vision, LiDAR, and USDA data.
AI analyzes meal photos or voice notes to instantly compute accurate calories, macros, and micronutrients using computer vision, LiDAR, and USDA data.
Appears active as of February 2026 based on active website and App Store listing.
Appears active as of February 2026 based on active website and App Store listing.
SnapCalorie is an AI-driven nutrition tracking application designed for effortless meal logging. Users capture a photo of their food, and the app delivers instant breakdowns of calories, macronutrients, and micronutrients using verified databases like USDA. Founded by former Google AI researchers, it prioritizes speed and accuracy over manual entry methods[1][2].
The process involves three steps: photograph the meal, allow AI to identify foods and estimate portions, and review the nutritional summary. For devices with LiDAR like iPhone Pro models, it measures food volume precisely. Without depth sensors, it relies on visual estimation. Voice notes enable hands-free logging by dictating ingredients and weights, achieving high precision without typing. Nutrition label scanning automates data entry from packaged foods.
SnapCalorie is an AI-driven nutrition tracking application designed for effortless meal logging. Users capture a photo of their food, and the app delivers instant breakdowns of calories, macronutrients, and micronutrients using verified databases like USDA. Founded by former Google AI researchers, it prioritizes speed and accuracy over manual entry methods[1][2].
The process involves three steps: photograph the meal, allow AI to identify foods and estimate portions, and review the nutritional summary. For devices with LiDAR like iPhone Pro models, it measures food volume precisely. Without depth sensors, it relies on visual estimation. Voice notes enable hands-free logging by dictating ingredients and weights, achieving high precision without typing. Nutrition label scanning automates data entry from packaged foods.
Freemium with premium subscription for unlimited logging and advanced features
Freemium with premium subscription for unlimited logging and advanced features
Individuals tracking diet for weight management, fitness, or health goals, including busy professionals and athletes
Individuals tracking diet for weight management, fitness, or health goals, including busy professionals and athletes
Active App Store listing and website updates as of 2026.
Hiring: unknown
Active App Store listing and website updates as of 2026.
Hiring: unknown
SnapCalorie computes over 30 micronutrients and all macros, grading meals for healthiness with highlights for low sodium or high protein. It integrates with Apple HealthKit for data syncing and offers personalized meal plans. Core functions remain free indefinitely, with premium unlocking unlimited logs and AI nutritionist tips. The app learns from user corrections to refine future analyses[1][2][5].
SnapCalorie computes over 30 micronutrients and all macros, grading meals for healthiness with highlights for low sodium or high protein. It integrates with Apple HealthKit for data syncing and offers personalized meal plans. Core functions remain free indefinitely, with premium unlocking unlimited logs and AI nutritionist tips. The app learns from user corrections to refine future analyses[1][2][5].
Built on the Nutrition5k dataset of 5,000 real-world dishes and 20,000 videos, the AI identifies over 250 ingredients. It claims twice the accuracy of visual portion estimates by nutritionists, pulling data from trusted sources. Reviews note occasional misidentifications but praise its educational value in revealing calorie-dense foods[1][3][4].
Built on the Nutrition5k dataset of 5,000 real-world dishes and 20,000 videos, the AI identifies over 250 ingredients. It claims twice the accuracy of visual portion estimates by nutritionists, pulling data from trusted sources. Reviews note occasional misidentifications but praise its educational value in revealing calorie-dense foods[1][3][4].
Meal logging occurs five times faster than manual apps, suiting busy lifestyles. Reviews favor it over competitors for simplicity via photo, voice, or barcode. Free tier limits to three daily meals; premium costs around $15–90 annually based on promotions. Data privacy emphasizes encryption without selling user information[1][2][3].
Meal logging occurs five times faster than manual apps, suiting busy lifestyles. Reviews favor it over competitors for simplicity via photo, voice, or barcode. Free tier limits to three daily meals; premium costs around $15–90 annually based on promotions. Data privacy emphasizes encryption without selling user information[1][2][3].
Users input profile details like weight, height, activity, and goals for tailored calorie and macro targets. It supports weight management, muscle gain, or maintenance, aligning roughly with guidelines though protein suggestions lean higher for active individuals. Trends tracking aids long-term pattern recognition[3].
Users input profile details like weight, height, activity, and goals for tailored calorie and macro targets. It supports weight management, muscle gain, or maintenance, aligning roughly with guidelines though protein suggestions lean higher for active individuals. Trends tracking aids long-term pattern recognition[3].
