AllerNote is a cosmetic scanner designed for patch-test patients. It allows users to input their specific contact allergens once and then receive personalized Safe, Warning, or Avoid verdicts when scanning any cosmetic product label or ingredient list.
The tool maps INCI names and synonyms to over 110 contact allergens drawn from ACDS and CARD sources while tracking more than 900 synonyms. Users can paste an ingredient list or upload a photo to run a scan that checks against their own profile rather than applying a generic safety rating. One product can produce different verdicts for different users depending on their allergens, as illustrated by examples in which a moisturizer is rated safe for someone without a fragrance allergy but avoided by another whose patch test flagged fragrance mix components such as Parfum, Linalool, Limonene, Geraniol, and Eugenol. The service functions as an educational aid and explicitly states it is not medical advice.
No account is required for basic scans. A free profile can be built in about 30 seconds to store allergens for repeated use. The site maintains a catalog of more than 4,400 products and a database of over 2,300 ingredients, with live counts showing more than 990 label scans performed. It also offers an AllerBot, routines, ingredients tools, resources, and a products section along with pricing information and a get-started flow.
AllerNote is delivered as a web-based service accessible through its site. It emphasizes speed, completing checks in four seconds, and highlights that many fragranced products hide allergens behind generic terms such as Parfum.
AllerNote is a Lifestyle & Personal project. It focuses on determining whether cosmetic products contain ingredients that will trigger a user's specific contact allergies based on their patch-test results. AllerNote is a consumer product aimed at people with contact dermatitis and known skin allergens. A free plan is available. It runs on the web.
AllerNote first shipped in 2024. Key capabilities include Cosmetic Scanner, Allergen Matching, and INCI Label Analysis.
Summary written by a language model from the project’s public pages.
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