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--- |
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title: Any2SVG |
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emoji: 🎨 |
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colorFrom: purple |
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colorTo: blue |
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sdk: gradio |
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sdk_version: 5.6.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: Convert raster images to SVG vector graphics |
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tags: |
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- image-processing |
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- svg |
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- vectorization |
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- mcp-server |
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--- |
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# Any2SVG - Image to SVG Vectorization Tool |
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A Gradio 6 application that converts raster images (PNG, JPG, WebP, etc.) to SVG vector graphics. Deployable as a Hugging Face Space and usable as an MCP server. |
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## Features |
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- **Multi-format Support**: Accepts PNG, JPG, JPEG, WebP, BMP, GIF, TIFF |
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- **High-Quality Vectorization**: Uses vtracer for professional-grade conversion |
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- **Configurable Parameters**: Control color mode, path precision, and more |
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- **MCP Server Ready**: Built-in MCP server support for AI agent integration |
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- **Output Directory Support**: Save SVGs to a configurable output directory |
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## Installation |
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```bash |
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cd any-to-svg |
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pip install -r requirements.txt |
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``` |
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## Usage |
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### As a Web Application |
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```bash |
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python app.py |
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``` |
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### As an MCP Server |
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The app automatically exposes an MCP endpoint at: |
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``` |
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http://localhost:7860/gradio_api/mcp/sse |
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``` |
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Add to your MCP client config: |
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```json |
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{ |
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"mcpServers": { |
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"any2svg": { |
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"url": "http://localhost:7860/gradio_api/mcp/sse" |
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} |
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} |
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} |
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``` |
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### Environment Variables |
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- `SVG_OUTPUT_DIR`: Directory to save generated SVG files (default: `./output`) |
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- `GRADIO_MCP_SERVER`: Set to `true` to enable MCP server mode |
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## Deployment to Hugging Face Spaces |
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1. Create a new Space on Hugging Face |
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2. Upload all files from this directory |
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3. The Space will automatically start as both a web app and MCP server |
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## License |
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MIT |
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