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How IngredScan Scores Work: Our Methodology Explained

28 February 2026·4 min read·IngredScan Team

We believe food information tools should be transparent. Here's exactly how IngredScan analyses products and generates scores — including our limitations.

Data Sources

When you scan a barcode, IngredScan retrieves product data from Open Food Facts, a free, open, collaborative food product database with over 3 million products worldwide (180,000+ UK products). This data is contributed by volunteers and manufacturers, which means:

We supplement Open Food Facts with reference data from the UK Food Standards Agency (FSA) for additive regulations, USDA FoodData Central for nutritional benchmarks, and publicly available supermarket product pages.

NOVA Classification

We determine a product's NOVA score (1-4) by analysing its ingredient list for marker ingredients characteristic of each processing level. Specifically:

When Open Food Facts already includes a NOVA classification, we use it as a starting point and validate it against our own analysis. In cases of disagreement, we err on the side of the more conservative (higher processing) classification.

Quality Score (0-10)

Our proprietary Quality Score provides a more nuanced assessment than NOVA alone. It starts at 10.0 and applies the following adjustments:

The final score is clamped between 0.0 and 10.0. A score of 7+ generally indicates a product with minimal processing and decent nutritional profile. A score below 4 indicates significant concerns.

Additive Risk Ratings

Each additive in our database is classified as low, medium, or high risk based on:

These are relative classifications. "High risk" means an additive has accumulated more published concerns relative to others — it does not mean it is dangerous at the levels found in food. All permitted additives have passed regulatory safety assessments.

Limitations

We want to be upfront about what IngredScan cannot do:

Continuous Improvement

We regularly review and refine our scoring methodology based on new research, user feedback, and data quality improvements. When we make significant changes, we document them and notify users. If you spot an error in a product's data or score, use the Report button on the result page — we review every report and apply corrections within 7 days.

For full details, see our disclaimer. Questions about our methodology? Contact us at support@ingredscan.com.

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