Inkwell

High-performance trading card scanner and price tracker built with Rust.

Key Features

• Real-time Identification: Uses the AKAZE algorithm for fast and accurate card matching via camera feed.
• Price Tracking: Integrates with the Lorcast API to provide live market pricing (Normal and Foil).
• Global Statistics: Persistently tracks total scans and session value.
• CSV Export: Easily export your scanned collection to CSV format.
• Docker Ready: One-command deployment via Docker Compose with Cloudflare Tunnel support.

Tech Stack

• Frontend: Rust (Leptos WASM), Tailwind CSS
• Backend: Rust (Axum, SQLx SQLite)
• Engine: OpenCV (AKAZE feature matching)
• Deployment: Docker, cloudflared

Quick Start

1. Ensure you have Docker and Docker Compose installed.
2. Update the .env file in the deploy/ directory with your TUNNEL_TOKEN.
3. Run the application:

   cd deploy
   docker compose up --build

4. Access the scanner at the hostname configured in your tunnel or locally at http://localhost:4000.

Project Structure

• inkwell-client: Leptos-based WASM web application.
• inkwell-server: Axum API server for image processing and database management.
• inkwell-core: Shared logic, types, and feature extraction utilities.
• migrations: SQLx database migrations for schema and statistics.