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Analyze food
Food knowledge, made useful

Good food.
Clear answers.

Understand a food, build a meal, or find something worth cooking. Start with what’s on your plate.

Meet your ingredients →Where the numbers come from →
Feed Love analyzerUSDA nutrition data · AI-assisted parsing
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Estimates use matched USDA food records. When an amount is missing, Feed Love shows the portion it assumed so you can correct it.

AI interprets your input. USDA food records supply the numbers. Review matches and portions before using the results.

Start with something familiar

What’s on your plate?

Open Meal Studio →
Breakfast bowlOats, blueberries and yogurtSalmon rice bowlBuild it, review it, make it yoursOne simple ingredientExplore the food behind the numbers
Ingredient intelligence

One food. Better context.

Browse ingredients →
ImageBlueberriesFood profile →ImageOatsFood profile →ImageMilkFood profile →ImageWalnutsFood profile →ImageOrangeFood profile →ImageChickpeasFood profile →
Worth making

Put understanding on your plate.

Browse recipes →
AI-created illustration of salmon, brown rice, broccoli and lemon
AI-created recipe illustration
25 min · Easy

Lemon-Garlic Salmon Rice Bowl

Salmon, broccoli and brown rice with a bright lemon-garlic finish.

Cook it. Understand it. →
Sources first

Clear numbers. Visible assumptions.

Read the methodology →
01

Review the food match

Preparation, brand and portion change the result. Open the matched record and check what was used.

02

See what’s missing

An unreported nutrient stays missing. A blank field is never treated as a measured zero.

03

Keep the context

Daily Values help explain labels. They are general references, not individualized targets.

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