Rash Detector

Rash Detector is a consumer AI tool for making sense of an unexplained rash. Rather than describing symptoms to a chatbot, you supply three photos of the affected skin from different angles. The service analyses them and returns a structured report in roughly a minute, itemising every visible feature it noticed, naming the most likely condition with a confidence score, estimating risk with a colour code (low, medium or high), and summarising texture, colour and visible patterns in everyday language. Each report ends with a disclaimer about when to seek medical care and what an AI analysis cannot do.

Beyond the basic scan, the product layers in more context. An optional multi-choice questionnaire about symptoms and possible triggers, plus a free-text field for your own notes, produces an extended report with dedicated sections on symptom analysis, trigger analysis, recommendations, when to see a doctor and lifestyle tips. An AI Skin Chat feature answers follow-up questions using your own report history as grounding, and can accept a new photo. An analytics dashboard then tracks conditions, risk distribution and streaks across reports so patterns become visible.

The platform is built as an account-based service with reports stored to your profile and shared between web and Android, so you can pick up the same history on either. It leans on structured, dermatology-inspired report layouts and highlights privacy: encryption in transit and at rest, the ability to delete reports, and a stated position on selling data and on using data to train models. Alongside the tool, the site publishes educational guides on common rashes, drug rashes, rashes by body location and mole checking. Crucially, it presents itself as educational information only, not a diagnosis, and directs users to a qualified clinician for medical decisions.