A professional image processing toolkit for background removal, face segmentation, and AI-powered photo enhancement.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cutout-visual-api
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cutout-visual-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Cutout.Pro Visual API?
The Cutout.Pro Visual API provides developers with high-performance tools for automated visual editing. As part of the ecosystem of Openclaw Skills, this toolkit enables AI agents to handle complex image tasks like isolating subjects and upscaling low-quality photos. It bridges the gap between raw image data and polished, production-ready visuals by leveraging advanced deep learning models for precise edge detection and super-resolution.
By integrating this skill, users can access professional-grade matting and restoration capabilities through a simplified command-line interface. Whether you are building an automated content pipeline or enhancing user-uploaded media, this solution ensures high-quality results with minimal configuration. Openclaw Skills like this one provide the necessary bridge between local development environments and powerful cloud-based AI processing.
Cutout.Pro Visual API Use Cases
- Automating background removal for e-commerce product photos to create clean, transparent PNGs.
- Extracting high-quality face avatars with hair-level precision for social media profiles or gaming applications.
- Restoring and upscaling blurry or low-resolution images for digital marketing materials using Openclaw Skills.
- Generating 68-point facial landmark data for creative AI portrait applications or facial analysis tasks.
How Cutout.Pro Visual API Works
- The user provides an image via a local file path or a public URL to the processing script.
- The script authenticates with the Cutout.Pro REST API using a secure API key stored in the environment.
- The selected AI model (Background Remover, Face Cutout, or Photo Enhancer) processes the visual data based on specified parameters.
- The API returns either a binary image stream or a Base64-encoded string depending on the operation mode requested by the Openclaw Skills agent.
- The system saves the processed image and associated metadata file for record-keeping and further workflow automation.
Cutout.Pro Visual API Setup
- Obtain your API Key from the Cutout.Pro user dashboard.
- Configure your environment by adding the key to your
.envfile:
CUTOUT_API_KEY=your_key_here
- Install the necessary Python dependencies for the script:
pip install -r scripts/requirements.txt
- Execute a test command to ensure the skill is functional:
python scripts/cutout.py --api bg-remover --image photo.jpg
Cutout.Pro Visual API Data Schema & Taxonomy
Processed images are stored in the data/outputs/ directory using the naming pattern {api}_{timestamp}.png. Additionally, a .meta.json file is created for every execution to track processing details.
| Metadata Field | Description |
|---|---|
| API Type | The specific endpoint invoked (e.g., bg-remover, face-cutout) |
| Parameters | All CLI arguments and flags used for the task |
| Processing Time | Total duration of the API request and response cycle |
| File Size | The final size of the generated image file |
Cutout.Pro Visual API Advanced Features
- Preview Mode: Optimize credit usage by processing images at a maximum of 500x500 resolution for a fraction of the standard cost.
- Facial Landmarks: Extract 68-point facial coordinates using the Face Analysis flag when requesting Base64 output.
- Multi-Model Support: Toggle between 'quality' and 'anime' models for specialized photo enhancement within your Openclaw Skills workflow.
- Custom Compositing: Automatically apply hex-code background colors or blur effects during the background removal process.
SKILL.md
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