SuppLens

Starting with the label in front of the user

SuppLens is a mobile application for understanding dietary supplements. The main interaction starts with a photograph of a product label and continues into a structured presentation of its ingredients and composition.

The product task is to connect image capture, AI processing and a readable result. A user should be able to move through that sequence on a phone without manually transcribing a label or navigating a technical analysis interface.

A scan becomes a product record

The application provides a scanning flow, product detail screens and a history of previously analysed products. Saving the result makes the scan useful beyond the initial session and gives follow-up interactions a specific product context.

The result presentation breaks the response into identifiable parts rather than treating the entire analysis as one block of chat text. AI-generated information is an explanation to review, not a substitute for a clinical assessment.

Connecting the mobile and AI layers

The implementation uses React Native and Expo for the application, with API routes for scans, stored images and product conversations. PostgreSQL and Drizzle provide the persistence layer, while the AI integration processes label information.

The product also includes subscription access through RevenueCat. Keeping access control, scan processing and stored results connected is part of making the complete mobile workflow function beyond a single demonstration.

The result

SuppLens is available on the App Store. The case brings together a mobile capture flow, AI integration, saved product information and subscription functionality in one independent product. The images here are its official store presentation.