Why Calorie Databases Disagree and MyFitnessPal Entries Are Often Wrong
One search, dozens of answers, none of them labelled. Here is why calorie databases disagree, and the cleaner fix.
Past photo & AI logging
You’ve pointed a camera at dinner, watched the app guess, and known in one second it was off — with no way to correct it. These pieces are an honest look at what photo and AI calorie estimates can and can’t see (hidden fats, sauces, cooking method, portion), and why a verified meal builder you can adjust beats a guess you can’t.
Calorie Tracking Without the Daily Grind
Calories are useful context, but a terrible place to live. Learn your baseline, keep the weight trend in the background, and log food again only when it drifts.
How Calk Tests Its Food Data
Each dish is built from checked ingredients, not user-submitted rows, and every version is scored against a reference before it ships. Here is the method — and its limits.
How Accurate Is Calorie Counting Without Weighing?
Without weighing, Calk gives a practical estimate for mixed food: clear enough to decide which part of a meal to change, but not laboratory or medical precision.
Custom Recipes Help — But They're Slow. Calk Made Them Templates
Search, barcode, photo, custom recipes: each has a ceiling and a time cost. Recipes are strong for cooked food, but they take minutes; Calk turns them into templates.
Photo Calorie Counting: How Accurate Is It Really?
A camera sees shape and color. Calories live in the fat, oil, and sauce it can’t measure. Here’s the gap — and what works.