AI meal logging

Faster than typing. Honest about uncertainty.

Take a picture of your meal. POWR estimates calories, macros, and nutrient detail from the photo. You check it, fix what's off, and keep moving with your day.

The loop

Four steps. In the open.

Capture

Take a meal photo from the app's logging flow. No special setup, no plate alignment requirements.

Estimate

POWR generates a calorie, macro, and nutrient estimate from the image, attached to the entry.

Review

You inspect the result and fix what needs fixing. Nutrition is reviewable, not a black box.

Track

The corrected entry rolls into your daily totals, micronutrient picture, and food-quality context.

Why it matters

Fast input. Controlled output.

Typing every meal from scratch will burn you out by Tuesday. AI that you can't double-check earns no trust. We try to land in between: a quick estimate, then your eyes, then the day rolls forward.

When photo logging fits

Mixed meals, restaurant plates, anything too annoying to build item-by-item while still wanting nutrient depth.

When it doesn't

Packaged foods with a barcode. Single ingredients. Anything where exact label data beats inference.

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