Capture
Take a meal photo from the app's logging flow. No special setup, no plate alignment requirements.
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.
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.
Here is how it runs. You snap a photo of the plate from the logging flow. POWR reads the image and returns an estimate: calories, the macro split, and the micronutrients it can infer, all attached to the entry. Nothing is final yet. You scan the numbers, correct the portion or swap an item, and only then does the entry count toward your day. You stay in control of every line.
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.