HeyOakley help

How accurate is AI food logging in HeyOakley?

AI food logging is best understood as a fast first draft. HeyOakley helps turn plain-language meals into structured nutrition entries, but accuracy still depends on portion size, ingredients, cooking methods, brands, and whether you correct anything that looks off.

What affects calorie and macro accuracy

  • Portion size: “chicken and rice” is much less precise than “200g chicken, one cup cooked rice.”
  • Cooking fat and sauces: oils, dressings, butter, and restaurant sauces can change calories quickly.
  • Brand differences: packaged foods and protein shakes can vary a lot, so barcode scanning often helps.
  • Meal complexity: simple meals are easier to estimate than mixed dishes, casseroles, buffets, or shared plates.

How to improve AI food diary accuracy

Add quantities when you know them, mention brands for packaged foods, scan barcodes when available, and correct entries that look wrong. Over time, the habit matters more than making every single entry perfect on the first try.

Still exploring HeyOakley?

Jump back to the homepage for early access—or open a guide when you want deeper nutrition context.

Join the waitlist

Want calculators for calories and macros? Browse HeyOakley guides and tools next.