Frame AI: Calorie Log

Frame AI: Calorie Log

Private Food & Fitness Journal

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Free

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Details

Released
July 16, 2026
Updated
September 17, 2026

Features

Frame AI: Calorie Log screenshot #1 for iPhone
Frame AI: Calorie Log screenshot #2 for iPhone
Frame AI: Calorie Log screenshot #3 for iPhone
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About

Frame is a private calorie tracker and workout log for meals, macros, hydration, body weight, and progress—all kept on your iPhone. CAPTURE MEALS AND LABELS Take a photo or choose one from your library to review a meal estimate, scan a nutrition label, organize a progress photo, or recognize a possible scale reading. Meal estimates stay editable, so you can correct calories, macros, ingredients, and portions before saving. TRACK EVERY WORKOUT Build workouts with exercises, sets, reps, weight, notes, drop sets, failure sets, and supersets. Review recent training volume and keep your gym history close. SEE YOUR WHOLE DAY Follow calories, protein, carbs, fat, water, body weight, and personal targets in one place. Local trends and insights turn your entries into practical daily context. CONNECT APPLE HEALTH BY CHOICE Optionally allow Frame to read selected activity, workout, body-mass, heart-rate, and nutrition data from Apple Health. You control each permission. Frame does not write to Apple Health. PRIVATE BY DESIGN - No online account required - No developer backend, ads, analytics, tracking, or cloud sync in version 1 - Captures and fitness records stay in protected local storage - Export or delete your data from Settings - Protect the private in-app photo roll with Face ID, Touch ID, or your device passcode Frame requires an iPhone with iOS 17 or later. Some on-device intelligence requires supported hardware and a newer iOS version; local fallbacks are used when it is unavailable. Frame is a general fitness journal, not a medical device. Nutrition estimates, trends, scores, and insights are informational, may be inaccurate, and are not medical diagnosis or treatment.
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What's New in Frame AI

1.0.2

September 17, 2026

Using Foundational Models with the ios 27 update