Know what's actually in it.
Scan any product barcode and the label becomes a 0–100 score — computed by a deterministic, versioned algorithm from a reviewed ingredient database that cites, per ingredient, published regulatory assessments, legislation, and scientific studies.
Sources cited include FDA · WHO / IARC · EFSA · NTP · CIR · SCCS · EU & US state law
The LabelFacts Score is educational information, not medical or nutritional advice. Product data comes from public databases and manufacturer labels and may lag reformulations.
We recognised 7 of 7 ingredients on this label.
How it works
Four steps, each deterministic and reproducible — not an AI output.
Scan
Point the app at a barcode, or photograph the label — across food, supplements, personal care, and household products.
Score
A deterministic calculation combines the reviewed ingredient database with published measures — Nutri-Score and NOVA for food, GHS/CLP hazard classes for products used on the body or around the home — into one 0–100 number. The same product data always produces the same score.
Breakdown
See what was counted: each classified ingredient with the published assessment behind it, the nutrition panel, and how much of the label we could actually read.
Alternatives
Higher-scoring products in the same category, drawn, where scan data exists, from the most widely scanned products in Open Food Facts' public data, and ordered by score — never by payment: no sponsored placements, no affiliate links.
The LabelFacts Score is educational information, not medical or nutritional advice. Product data comes from public databases and manufacturer labels and may lag reformulations.
Ingredient classifications cite published sources, including regulators and scientific bodies (such as FDA, EFSA, WHO/IARC, NTP, CIR, SCCS, EMA and NIH), US state and EU legislation (such as CLP hazard classes and California food-additive laws) and, for some entries, individual peer-reviewed studies — each cited per ingredient. The weights, caps, and thresholds that combine them — and therefore the 0–100 score — are LabelFacts' own editorial methodology.
Scored, published, checkable
Real products from the catalog, scored by the same deterministic calculation the app runs. Open any one to see the ingredient list as printed, the nutrition panel, and how much of the label resolved to a reviewed entry.
- Apple Mango Yellow Carrot Peach Fruit &…Kirkland Signature95
- Organic Apple SauceKirkland Signature95
- Shredded Wheat & BranPost95
- Wheat 'n Bran Cereal, Wheat 'n BranPost95
- Peanut Butter ChocolateRxbar88
- 100% Whey ProteinOptimum Nutrition88
The LabelFacts Score is educational information, not medical or nutritional advice. Product data comes from public databases and manufacturer labels and may lag reformulations. Ingredient classifications cite published sources, including regulators and scientific bodies (such as FDA, EFSA, WHO/IARC, NTP, CIR, SCCS, EMA and NIH), US state and EU legislation (such as CLP hazard classes and California food-additive laws) and, for some entries, individual peer-reviewed studies — each cited per ingredient. The weights, caps, and thresholds that combine them — and therefore the 0–100 score — are LabelFacts' own editorial methodology.
Built to be checked
Accuracy is the whole product. Every one of these is a constraint on what we are allowed to publish.
1.1 million+ products
A catalog seeded from public databases — USDA FoodData Central, Open Food Facts, and the NIH Dietary Supplement Label Database. More than 590,000 carry a published score, computed ahead of time by the same algorithm the app runs; the rest are held unscored until enough of their label resolves.
Cited, not asserted
Score deductions come only from ingredients matched in our reviewed database, each entry citing a published authority assessment. AI-identified groupings are shown for information and never move the number.
Deterministic and versioned
The algorithm is versioned and the version is stamped on every score. Same product, same data, same number — a score is only displayed when it was computed by the current version.
No score we can't support
When too little of a label resolves to a reviewed classification, we publish no score at all — on the product page, in rankings, everywhere — rather than a guess. We say exactly how much of the label we recognised.
Paid by subscribers
We take no money from the brands we score: no sponsored placements, no paid corrections, no affiliate links anywhere.
Browse top-rated categories
Ranked from the pre-scored catalog — no sponsorships, no placements.
Scan it yourself.
The LabelFacts iOS app scans any barcode and shows the full ingredient breakdown, score, and better-rated alternatives.