Understand the data, not just the score.
These guides explain how JFS works, why product records can differ, and how to compare packaged foods with more context.
How Food Barcode Scanners Work
Learn how apps identify packaged foods, retrieve records and help compare snacks while making data limitations clear.
Read guide →How to Read a Nutrition Facts Label
Four simple steps for interpreting serving size, nutrients and percent Daily Value before comparing products.
Read guide →What a JFS Score Means
Understand what a Junk Food Scan rating summarizes, what sits behind the number, and what the score does not mean.
Read guide →Serving Size vs. 100 g
Learn why JFS normalizes supported nutrition values to a per-100 g or per-100 mL basis for more consistent packaged-food comparisons.
Read guide →Why Product Data Can Differ
Understand why packaged-food records may differ across databases, regions, package sizes, and product updates.
Read guide →How to Compare Packaged Foods with JFS
A practical guide to using JFS ratings, score factors, source data, and product comparison tools together.
Read guide →When JFS Cannot Rate a Product
Learn why Junk Food Scan sometimes withholds a score instead of guessing from incomplete packaged-food data.
Read guide →How to Read a JFS Product Page
A quick guide to the score, factors, ingredients, source attribution, and limitations shown on a Junk Food Scan product page.
Read guide →