Lower-friction logging
Start with a photo, finish with a review.
AI capture can draft foods and estimated portions. Edit the result when packaging, preparation, or serving size is unclear.
Nutrition and recovery
Keep food logs beside training, sleep, and health trends.
Metric combines photo-assisted and manual meal logging with calorie and macro views, then keeps nutrition near separate sleep, workout, body, and health trends. AI photo capture gives you an editable estimate—not a measured portion—so review foods and amounts before using the log to understand a longer pattern.
- Photo-assisted capture
- Manual and editable entries
- Calories, macros, and daily context
The useful answer
The value of a food log is the pattern it helps you notice.
Metric supports fast capture without pretending a photo is a scale. Confirm the foods, portions, and macros, then use repeated logs to understand what your usual days look like.
Nutrition can be reviewed near training, sleep, body composition, and other health signals. That proximity helps you form a question; it does not turn an association into proof that one meal caused a metric to move.
Inside Metric
Designed to keep the context attached.
Every summary should lead back to the signal, date range, or source that shaped it.
Daily targets
See calories and macros without losing the meal.
Track protein, carbohydrates, and fat against your chosen goals while keeping the individual entries available for correction.
Broader context
Compare patterns across days and training blocks.
Place nutrition history beside workouts and sleep to decide which repeat pattern is worth testing more carefully.
How it works
Three steps from data to a better question.
Capture or add a meal
Use the camera for a draft or enter foods manually when precision matters more.
Review the estimate
Correct portions, ingredients, and macros before treating the log as useful history.
Look for repeat patterns
Compare similar training days and routines over time instead of explaining recovery from one meal.
What to know first
Useful, with clear limits.
- A photo cannot reliably reveal hidden ingredients, exact preparation, or portion weight; AI estimates need review.
- Incomplete logs and inconsistent portions can make calorie and macro totals misleading.
- Metric provides tracking and educational context, not an individualized dietary prescription or eating-disorder care.
A good fit if
- You want faster meal capture but still want editable entries.
- You care about calories and macros in the context of workouts and sleep.
- You are willing to log consistently enough for patterns to form.
Probably not for you if
- You require weighed, laboratory-level nutrient precision from a photo.
- Food logging is unsafe or counterproductive for your relationship with eating.
- You need a condition-specific meal plan from a registered professional.
Common questions
The short version.
Can Metric calculate macros from a photo?
Metric can create an AI-assisted estimate from a photo. You should review and edit foods and portions because an image cannot reveal every ingredient or exact amount.
Does one meal change my readiness score?
No. Metric’s readiness view is calculated from workout load, not nutrition logs. Meal history and readiness can be reviewed as separate trends, but their proximity does not prove cause.
Can I log without using AI capture?
Yes. Metric also supports manual entry so you can add or correct the details yourself.
Sources and context
Read the primary material.
Official platform documentation and original research are linked for context, not used to overstate what one app view can conclude.
Apple Developer
HealthKit framework overview
Apple explains HealthKit as a user-controlled repository for health and fitness data from iPhone, Apple Watch, apps, and compatible devices.
Apple Support
Manage Health data on iPhone, iPad, or Apple Watch
Apple’s guide to data sources, app access, source priority, manual entries, and permission controls in the Health app.
Journal of the International Society of Sports Nutrition / PubMed
Pre-sleep protein after evening resistance exercise and next-day recovery
A small controlled study with a null primary recovery result, illustrating why food and recovery relationships should be treated as context rather than certainty.
Metric for iPhone
Make your health history easier to use.
Connect only the categories you choose. Start with the dashboard, then go deeper when a trend earns your attention.
Download on theApp Store