Food Focus blog
Evidence-led guides to AI food estimates, portions, nutrition patterns, and the product limits worth understanding before you trust a number.
Start here
Walk through an ordinary lunch example and check three things the camera cannot confirm on its own: the food, the amount eaten, and the missing details.
Read the evidence-led guideThe complete guide library
Each guide gives the direct answer first, shows the limits, links to its evidence, and explains the relevant Food Focus workflow without unsupported accuracy claims.
A food photo can make logging faster, but it is still evidence for an estimate—not a direct measurement. Here is how the estimate works and what deserves a second look.
Read the complete guideA useful food diary is one you can keep and learn from. Start small, read the streak and consistency calendar honestly, and review patterns instead of judging one day.
Read the complete guideThe Settings menu has an On-device (Free) AI option. Here is when it is available, how to choose it, and where Cloud, photos, and internet access still matter.
Read the complete guideThe best food-logging method changes with the meal. A plated lunch, packaged snack, remembered recipe, and hands-busy breakfast do not contain the same kind of evidence.
Read the complete guideA familiar bowl of oats should not feel completely new every morning. Food Memory keeps inspectable portion hints for normalized ingredients—without pretending that a stored value proves today's amount.
Read the complete guideThe black bars do not encode calories. Food Focus looks up the product, may AI-estimate tracked nutrient fields missing from the record, and scales the result to the gram amount you enter.
Read the complete guideCalories answer one question: energy. Protein, fat, carbohydrates, fiber, added sugar, and saturated fat add different context, but more numbers are useful only when you know what each can—and cannot—say.
Read the complete guideFood Focus turns the current day's reviewed meal log into a concise recommendation and gives Pro users a structured three-part reflection.
Read the complete guideAn AI meal result is an editable draft. The useful question is not whether the first answer looks precise, but which correction method fits the mistake—and what should be reused later.
Read the complete guideA daily calorie target is a chain of assumptions, not a number measured by the app. Here is the exact Food Focus calculation and why today's target can move.
Read the complete guideSiri can save a spoken meal in the background, while widgets shorten the route into Food Focus or show a recent progress snapshot. Those are three different workflows.
Read the complete guideUseful by design
Direct answers come first. Sources, uncertainty, product behavior, and next steps remain visible in the page instead of hiding behind vague claims.
Each guide starts with a concise response, then shows the reasoning and practical implications.
Health and nutrition explanations link to research, official databases, and current product methodology.
An estimate is labelled as an estimate. We do not convert a confident interface into a promise of measurement.
From reading to trying
The first 10 saved meals can use Cloud AI. After that, Cloud requires Pro, while compatible Apple devices can use free on-device AI.
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