A typed ingredient must be matched to a structured food record before nutrient values can be calculated. Similar food names can represent different products, preparations or fat levels.
Feed Love shows the selected database record, a confidence indicator and alternative matches for ambiguous inputs. Changing the match recalculates the analysis.
The most accurate analyses combine a specific food description with a quantity, such as “1 cup 2% milk” or “180 g cooked brown rice.”
Preparation matters too: raw oats, cooked oatmeal, roasted potatoes and boiled potatoes can map to different food records and different water content.
When the match is ambiguous, Feed Love exposes alternatives so you can correct the database record instead of accepting a hidden assumption.