Simplify the architectural conservation of fine stone and marble with a professional digital toolkit. Marble Restorer is an advanced companion app engineered for stone restorers, conservationists, and sculptors to analyze natural stone tones, access verified restoration formulas, and document intervention histories directly from the field.

Core Features & Mechanics:
AI-Powered Photo Analysis: Take or upload a photo of a damaged stone area to instantly detect its precise profile. The analysis tool evaluates temperature, lightness, and texture metrics to provide a ranked list of the closest matching restoration products from top manufacturers (such as Akemi and Tenax) with explicit percentage match accuracy.

Comprehensive Stone & Mastic Catalog: Browse an extensive database of world-class marble varieties, color variants, mastics, and restoration formulas. Easily find and filter technical recipes by stone classification, warming/cooling profiles, or specific varieties including Carrara, Verde, Travertine, Statuario, Botticino, Rosa Portugal, and Nero Marquina.

Detailed Project Management: Track and organize structural restoration jobs with extreme detail. Create dedicated project sheets featuring custom cover photos, names, site descriptions, locations, baseline stone classifications, and custom notes.

Chronological Intervention Logging: Monitor the lifecycle of your restoration projects. Every workspace card organizes tracking parameters under four clear analytical tabs:

Overview: Review active status metrics (Active, Completed, Needs Review) at a glance.

Interventions: Document precise chronological steps and preservation steps taken over time.

Photos: Maintain a clear visual history of before-and-after work progress.

Materials: Track exactly what toning products, restoration mastics, and applied formulas were used.

History Archive: Access and sort through all past data points quickly. The localized history center allows you to easily view all logged matches, historical interventions, and favorited formulas in separate streams.