Wolfram|Alpha has the powerful ability to compute complex data into insightful outputs that can be helpful tools in our everyday lives. One area where this is most evident is the Wolfram|Alpha collection of food and nutrition information. Users have marveled over how quick and easy it is to analyze nutrition information for their favorite homemade recipes, and compare nutritional values of everything from dietary staples to those occasional indulgences.
One increasingly popular function of the Wolfram|Alpha food and nutrition collection is the nutrition label generator. So, just how does Wolfram|Alpha know the nutrition facts of your famous apple pie? Data curators have been busy tagging over 7000 food entities that are listed in the USDA National Nutrient Database for Standard Reference and other food databases. Once a food entity is placed into the nutrition bank, rules and algorithms are applied to help categorize it by typical attributes (e.g. raw, boiled), units (e.g. cups, tablespoons), and unique serving forms (e.g. slices, pieces). As a result of these tags, when you enter all of those secret ingredients into the site’s computation bar, Wolfram|Alpha computes a breakdown of total calories, fat, cholesterol, sodium, carbohydrates, protein, and particular nutrients the foods contain.
Currently we’re busy curating data for brand-name foods, a feature many users have requested. So if your favorite brand doesn’t appear today, please check for it again soon.
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