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cutout-pro

A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input.

by cutout-pro · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install cutout-visual-api
Description
Call Cutout.Pro visual processing APIs to perform background removal, face cutout, and photo enhancement. Supports both file upload and image URL input, retu...
README (SKILL.md)

Cutout.Pro Visual API — Image Processing Toolkit

Overview

Access three core image processing capabilities via the Cutout.Pro REST API:

  1. Background Remover — Automatically detects the foreground, removes the background, and returns a transparent PNG
  2. Face Cutout — Precisely segments the face and hair region, with support for 68-point facial landmark detection
  3. Photo Enhancer — AI super-resolution enhancement that transforms blurry, low-quality photos into high-definition images

When to Use This Skill

  • When the user needs to remove an image background
  • When the user needs to extract a face or avatar region
  • When the user needs to improve photo clarity or resolution
  • When the user mentions "background removal", "cutout", "portrait segmentation", or related topics
  • When the user mentions "image enhancement", "super resolution", "photo restoration", or related topics

Do Not Use This Skill When

  • The task is unrelated to image processing
  • The user needs to generate a new image (not process an existing one)
  • The user needs video processing (use another tool)

How It Works

Images are processed by the Cutout.Pro API using AI. Each call consumes credits (standard: 1 credit/image; preview mode: 0.25 credits/image).

API Comparison

Use Case Recommended API
Remove background from products, people, or animals Background Remover
Extract face/hair region for avatars Face Cutout
Turn a blurry photo into HD Photo Enhancer
Super-resolution for anime/cartoon images Photo Enhancer (faceModel=anime)
Get facial landmark coordinates Face Cutout (faceAnalysis=true)

Quick Start

  1. Go to https://www.cutout.pro/user/secret-key to get your API Key
  2. Add it to your .env file: CUTOUT_API_KEY=your_key_here
  3. Install dependencies: pip install -r scripts/requirements.txt
  4. Run the script: python scripts/cutout.py --api bg-remover --image photo.jpg

See references/setup-guide.md for full setup instructions.

1. Operation Modes

CLI Argument Function Endpoint
--api bg-remover Background removal (file upload, binary response) /api/v1/matting?mattingType=6
--api bg-remover --base64 Background removal (file upload, Base64 response) /api/v1/matting2?mattingType=6
--api bg-remover --url Background removal (image URL, Base64 response) /api/v1/mattingByUrl?mattingType=6
--api face-cutout Face cutout (file upload, binary response) /api/v1/matting?mattingType=3
--api face-cutout --base64 Face cutout (file upload, Base64 response) /api/v1/matting2?mattingType=3
--api face-cutout --url Face cutout (image URL, Base64 response) /api/v1/mattingByUrl?mattingType=3
--api photo-enhancer Photo enhancement (file upload, binary response) /api/v1/photoEnhance
--api photo-enhancer --base64 Photo enhancement (file upload, Base64 response) /api/v1/photoEnhance2
--api photo-enhancer --url Photo enhancement (image URL, Base64 response) /api/v1/photoEnhanceByUrl

2. Usage Examples

# Background removal — upload file, save as PNG
python scripts/cutout.py --api bg-remover --image product.jpg --output out.png

# Background removal — pass image URL, get Base64
python scripts/cutout.py --api bg-remover --url "https://example.com/photo.jpg"

# Background removal — crop whitespace, add white background
python scripts/cutout.py --api bg-remover --image photo.jpg --crop --bgcolor FFFFFF

# Face cutout — upload file, save as PNG
python scripts/cutout.py --api face-cutout --image portrait.jpg --output face.png

# Face cutout — get Base64 + 68 facial landmarks
python scripts/cutout.py --api face-cutout --image portrait.jpg --base64 --face-analysis

# Photo enhancement — upload file, save HD image
python scripts/cutout.py --api photo-enhancer --image blurry.jpg --output hd.png

# Photo enhancement — anime/cartoon super-resolution
python scripts/cutout.py --api photo-enhancer --image anime.jpg --face-model anime

# Preview mode (0.25 credits, max 500×500)
python scripts/cutout.py --api bg-remover --image photo.jpg --preview

3. Parameters

Parameter Description Default
--api Select API: bg-remover, face-cutout, photo-enhancer Required
--image Local image file path
--url Image URL (replaces --image in URL mode)
--output Output file path data/outputs/
--base64 Return Base64 JSON instead of binary stream false
--crop Crop whitespace (bg-remover/face-cutout only) false
--bgcolor Background color, hex (e.g. FFFFFF) or blur
--preview Preview mode, max 500×500, costs 0.25 credits false
--output-format Output format: png, webp, jpg_75, etc. png
--face-analysis Return facial landmarks (face-cutout --base64 only) false
--face-model Enhancement model: quality or anime (photo-enhancer only) quality

4. Output

Images are saved to data/outputs/ with the naming pattern: {api}_{timestamp}.png

Metadata is saved in a .meta.json file containing: API type, parameters, processing time, and file size.

Integration with Other Tools

  • Image editing: Use background removal first, then composite a new background
  • Avatar generation: Face cutout → crop → generate avatar
  • Photo restoration: Photo enhancement → background removal → composite

Limits & Quotas

  • Supported formats: PNG, JPG, JPEG, BMP, WEBP
  • Maximum resolution: 4096×4096 pixels
  • Maximum file size: 15 MB
  • QPS limit: up to 5 concurrent requests per second
  • Credit cost: 1 credit/image (standard), 0.25 credits/image (preview mode)

File Reference

File Purpose
references/setup-guide.md Initial setup, API Key retrieval, troubleshooting
references/api-reference.md Full API docs, parameters, response formats, error codes
scripts/cutout.py Main script
scripts/config.py Configuration management (API Key, endpoints, limits)
scripts/requirements.txt Python dependencies
Usage Guidance
What to check before installing: - This skill requires a Cutout.Pro API key (CUTOUT_API_KEY). The published metadata omits that requirement — confirm the platform will prompt for or protect that secret before use. - The tool will write processed images and .meta.json files into data/outputs/ (metadata includes original image path/URL and parameters). If you process sensitive images or facial data, be aware of local storage and privacy implications. - Network traffic goes to https://www.cutout.pro only. If you do not trust that service, do not provide your API key or images. - The README/SKILL.md mentions CUTOUT_MAX_IMAGES_PER_DAY but the provided code does not implement it — treat that doc entry as stale. - If you want stricter assurance: review the full (untruncated) scripts/cutout.py to confirm there are no hidden endpoints or unexpected behaviors, and verify .env handling (ensure .env is not accidentally committed and that the key is not being printed or logged). - Recommended mitigation: only provide a limited key or account with minimal credits, and test with non-sensitive images first.
Capability Analysis
Type: OpenClaw Skill Name: cutout-visual-api Version: 1.0.0 The skill provides a legitimate interface for the Cutout.Pro visual processing API, supporting background removal, face cutout, and image enhancement. It follows standard security practices by managing API keys via environment variables or .env files and uses the 'requests' library to communicate exclusively with official 'https://www.cutout.pro' endpoints. The code in 'scripts/cutout.py' and 'scripts/config.py' is well-structured, includes input validation for image files, and lacks any indicators of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The name/description and the code match: the CLI calls Cutout.Pro endpoints for background removal, face cutout, and enhancement. However, the published manifest lists no required environment variables while the code and README/SKILL.md expect a CUTOUT_API_KEY (and references CUTOUT_MAX_IMAGES_PER_DAY in docs). The missing declaration of the API key in the skill metadata is an incoherence.
Instruction Scope
SKILL.md and the scripts limit actions to: reading a local image file or providing an image URL to Cutout.Pro, calling the Cutout.Pro endpoints, and saving outputs/metadata into data/outputs/. The runtime instructions do not ask the agent to read unrelated system files or send data to unexpected external endpoints (all network calls go to https://www.cutout.pro).
Install Mechanism
No install script is provided; this is instruction+scripts only. The only declared dependency is the widely used 'requests' library in requirements.txt. There are no downloads from arbitrary URLs or archive extraction steps in the manifest.
Credentials
The code requires a Cutout.Pro API key (CUTOUT_API_KEY) accessed from the environment or a .env file, but the skill metadata declares no required env vars. The docs also mention a CUTOUT_MAX_IMAGES_PER_DAY variable that is not present in the provided code. This mismatch could confuse users and automated permission systems; an explicit required-env declaration for CUTOUT_API_KEY is missing and should be present.
Persistence & Privilege
The skill does not request 'always: true' and does not modify other skills or system-wide settings. It writes outputs and metadata under its own data/outputs directory only, which is expected for a CLI tool.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cutout-visual-api
  3. After installation, invoke the skill by name or use /cutout-visual-api
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of cutout-visual-api skill. - Access Cutout.Pro APIs for background removal, face cutout (with facial landmarks), and photo enhancement (super-resolution). - Supports both local file uploads and image URLs; returns results as binary streams or Base64. - Includes CLI usage examples, detailed parameter guide, and quick start instructions. - Documents API limitations, quota, and integration suggestions for common image processing tasks.
Metadata
Slug cutout-visual-api
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input.?

Call Cutout.Pro visual processing APIs to perform background removal, face cutout, and photo enhancement. Supports both file upload and image URL input, retu... It is an AI Agent Skill for Claude Code / OpenClaw, with 241 downloads so far.

How do I install A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input.?

Run "/install cutout-visual-api" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input. free?

Yes, A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input. is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input. support?

A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input. is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created A Python CLI skill for Cutout.Pro visual APIs — background removal, face cutout, and photo enhancement. Supports file upload & image URL input.?

It is built and maintained by cutout-pro (@cutout-pro); the current version is v1.0.0.

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