Anvilizer - SAP Brand Compliant Image Processing Tool

A Flask-based web application that transforms uploaded images into SAP brand-compliant anvil-styled graphics. Upload any image, crop it to your desired aspect ratio, and generate professional anvil overlays in multiple styles with high-resolution output up to 8K.

Features

🎨 Anvil Styles

• Flat: Semi-transparent colored overlay
• Stroke: Outlined anvil border with subject preserved
• Gradient: Multi-tone gradient fill within anvil shape
• Window: Image visible only within anvil shape
• Silhouette: Subject cutout over colored anvil background
• Gradient Silhouette: Subject cutout over gradient anvil background

🖼️ Image Processing

• High-resolution support up to 8K (7680×4320)
• Large file handling (up to 60MB)
• Dual pipeline: fast preview + high-res final output
• AI background removal (rembg with model fallbacks)

Customization

• SAP color palette
• Aspect ratios: 16:9 and 1:1
• Interactive controls: scale, position, opacity
• Live preview updates

Export

• Preview downloads (PNG)
• ZIP package with 3-layer Photoshop-ready PNGs
• Smart automated naming

Quick Start

Prerequisites

• Python 3.9+
• pip (Python package installer)

Local Installation

1. Clone the repository:

   git clone https://github.com/slurpey/anvilizer.git
   cd anvilizer

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python app.py

4. Open your browser:
   Navigate to http://localhost:5000

Usage Workflow

1. Upload your image
2. Crop and adjust settings
3. Generate previews
4. Download PNGs or ZIP packages

Folder Structure

anvilizer/
├── app.py                 # Flask application
├── requirements.txt       # Dependencies
├── layer_package_generator.py
├── static/
│   ├── css/styles.css
│   ├── js/script.js
│   ├── images/
│   └── favicon.ico
├── templates/
│   └── index.html
├── generated/             # Temporary files (auto-cleanup)
└── logs/                  # Persistent logs

Troubleshooting

• Ensure Python and all dependencies are installed
• Supported image formats: JPG, PNG, WebP, HEIC
• Check application logs in logs/ for issues

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit changes and push
4. Open a Pull Request

License

This project is designed for internal SAP use with brand-compliant image processing capabilities.

---

Built for SAP Brand Compliance