Calorie tracking is never exact — for any app or any method. DietPal is built to be honest about that, and to still be far more useful than guessing in your head.
Why a number can look off
- Portion size is the hard part. Identifying what a food is is fairly reliable; judging how much of it there is — especially from a flat photo — is where most of the uncertainty comes from.
- How it's prepared changes a lot. The same ingredient can swing by a third in calories depending on raw vs cooked, and on hidden oil, butter or sauce.
- Databases vary. The same dish can be listed slightly differently from one source to another, particularly for home-cooked and regional meals.
What DietPal does about it
- Numbers are looked up, never invented. Every figure comes from a verified nutrition database, so it's auditable — not the AI's own guess.
- You get a confidence level, not a false-precise number. A simple food (an apple) is precise; a mixed dish may show a range, with a quick question to narrow it down.
- You can correct anything in one message, and the total updates instantly.
How to make it more accurate
- State portions in grams where you can.
- Mention oil, butter and sauces.
- Say how a food was cooked.
The honest bottom line
Studies show people under-count their own eating by around half when guessing. Even a rough, grounded estimate beats that comfortably — and over a day and a 7-day average, the small over- and under-estimates cancel out. The goal is a trend you can trust and sustain, not dietitian-grade precision on every single bite.