Cropybara - Webtoon Stitcher & Cropper

Cropybara is a browser-based application designed to help users stitch multiple images into a single vertical strip (like a webtoon/manhwa panel) and then intelligently crop it into smaller, manageable slices. It's built with SvelteKit and leverages modern web APIs for a smooth, client-side experience.

Workflow

1. Start by uploading your images using one of the many available methods.
2. Set your project name, desired slice height, and choose/configure the cut detection method. Cropybara will analyze your images and suggest initial cut points if an automatic detector is chosen.
3. Review the proposed cuts. Add, remove, or fine-tune their positions in the interactive editor.
4. Once satisfied, Cropybara will process the images and provide a ZIP file containing the final slices.

Development

Prerequisites

• Bun
• Node

Running Locally

1. Clone the repository

   git clone https://github.com/your-username/cropybara.git
   cd cropybara

2. Install dependencies

   bun install

3. Run the development server

   bun dev

Running Tests

bun run test

Building for Production

bun run build

Environment Variables

Cropybara uses the following optional environment variables (create a .env file in the project root):

• PUBLIC_GA_MEASUREMENT_ID: Your Google Analytics Measurement ID (e.g., G-XXXXXXXXXX) to enable analytics.
• PUBLIC_YANDEX_OAUTH_CLIENT_ID: Client ID for Yandex OAuth (used for an optional Yandex Disk integration, which is not part of the main image processing flow for now).
• PUBLIC_YANDEX_OAUTH_REDIRECT_URI: Redirect URI for Yandex OAuth.