Aurascan organizes what a packaged-food label says, adds source-backed context, and keeps facts, interpretation, and unknowns visibly separate. It does not turn a barcode into a diagnosis or a magic safety score.
Every line has a status
Label
What the package actually prints
Evidence
What an attributed source supports
Limit
What the result cannot establish
No status is silently upgraded. “Unknown” remains an answer.
This is an illustrative interface example built from a constructed four-ingredient label. It is not a live product analysis, health verdict, endorsement, or substitute for the sources shown in a real result.
The contract
Readers can distinguish extracted label facts from context and from what cannot be inferred. Every row below carries one of three statuses.
Read directly from the constructed example label.
Read directly and carried into the example allergen notice.
The name is visible; the ingredient list alone does not provide a serving amount.
Ingredient order does not establish dose or an individual health effect.
The camera reads the barcode on the device. The decoded number starts the product lookup.
Aurascan combines available product records and keeps provenance for the fields that contributed.
Label text stays distinct from regulatory context, research context, and unresolved questions.
The result surfaces citations, evidence strength, uncertainty, and the methodology version behind it.
When barcode scanning is enabled, the camera decodes the number on the device. Only the decoded barcode is sent for product lookup; camera footage is not uploaded as part of that barcode scan.
Account and scan-history handling is described in the privacy policy, including choices for deletion and data requests.
Read the privacy policyJoin the beta waitlist to scan packaged-food labels and inspect the sources, evidence states, and limitations behind each result.
Join the beta waitlistEducational context only. Aurascan does not provide medical advice.
