See beyond the label.
Added sugars often hide behind names you don't recognize.
SugarShield helps you spot them instantly.
A real example (why this matters)
Some products don’t list the word ‘sugar’ directly.
Example: a chocolate product included ‘corn syrup solids’ instead.
A keyword-only check would miss it (false negative).
SugarShield flags this via hidden-sugar triggers and explains why.
The product is intentionally conservative to reduce missed sugar detection.
Why SugarShield Exists
Food labels often hide sugar under multiple names. Missing sugar is riskier than over-flagging it. SugarShield is intentionally conservative to minimize false negatives and help people make safer everyday food choices.
Medical Disclaimer: SugarShield is for informational purposes only. Always consult a healthcare professional for dietary advice.
Try Examples
Point at ingredient label
Compare Products
Paste ingredients to see which is safer.
How it Works
1. Capture
Scan a barcode, upload a label, or paste a link.
2. Extract
Vision AI reads the ingredients list instantly.
3. Evaluate
Get a PASS/WARN/FAIL verdict with confidence score.
Accuracy & Limits
SugarShield is an early MVP and uses best-effort text parsing. It is not perfect and may miss unconventional labeling. Always verify important dietary decisions with the physical label. We continuously improve our model based on real-world tests.