SuperAPI AI Directory

AI healthcare

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App Store - Apple

AI healthcare

This is the iPhone app page on the Apple App Store developed by Alexander Grossman, with the app name Sugar Free: Food Scanner AI (later renamed Emma), positioned as a food label scanning and nutrition tracking tool. Users can scan barcodes or take photos of food labels to get a health score and identify hidden sugars, additives, sweeteners, allergens, E numbers, INS codes, and other information. The app is free to download, contains in-app purchases, has an age rating of 9+, is in the Health & Fitness category, and supports English and 5 other languages. The page shows a rating of 4.4 (37 ratings), and user reviews mention it can be used for shopping and travel scenarios. In the update notes, the developer says the app has been rebuilt as a global AI food scanner and offers features such as an AI nutritionist chat.

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App Store

AI healthcare

Fit.AI: ultra personal fitness is a fitness app developed by Solid Apps S.R.L., available for download on the App Store for iOS, iPadOS, macOS, and Apple Vision. The app focuses on "workouts tailored just for you," offering training plans generated based on the user's fitness level, goals, and preferences, organized in 4-week cycles. A built-in AI assistant provides guidance, feedback, and encouragement at any time. It supports adding friends to work out together and receiving notifications when friends complete a workout. Users can maintain a workout streak to unlock new themes and custom icons, and workout data can be automatically recorded to Apple Health. The app includes daily articles and "Wisdom" section content. The interface is simple and intuitive. The app is free to download, includes in-app purchases, offers a 3-day free trial, after which it charges on an annual fee basis, and can also be permanently unlocked through a limited-time offer; an account is required to use it. Age rating 13+, category is Health & Fitness, language is English. The developer's privacy notes list data that may include email address, product interaction, and crash data, and state that it is not linked to identity.

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