SkillHub

cutout-visual-api

v1.0.0

Call Cutout.Pro visual processing APIs to perform background removal, face cutout, and photo enhancement. Supports both file upload and image URL input, returning binary stream or Base64-encoded results.

Sourced from ClawHub, Authored by cutout-pro

Installation

Please help me install the skill `cutout-visual-api` from SkillHub official store. npx skills add cutout-pro/cutout-visual-api

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