chromaspec 1.1.1

Python CLI tool for color palette analysis. Extract colors from images and SVG files, generate professional PDF swatches with HEX/RGB/CMYK values, frequency stats, pie charts, color harmonies, and WCAG accessibility ratings.

ChromaSpec

A professional Python package for color palette extraction, analysis, and visualization from SVG and image files.

Documentation

• Getting Started - Basic usage examples
• Features - Complete feature list
• Python API - Programmatic usage
• Module Documentation - Detailed API reference
• Contributing - How to contribute to the project
• Changelog - Version history and release notes

Features

• Color Extraction: Extract colors from SVG files and image formats (PNG, JPG, JPEG, GIF, BMP, TIFF, WEBP)
• Color Analysis:
  • Color categorization (Red, Green, Blue)
  • Color harmonies (Complementary, Analogous, Split-Complementary, Triadic)
  • WCAG 2.1 accessibility analysis and contrast ratios
  • Dark mode compatibility - Verify colors work in both light and dark themes
• Color Palette Generator: Generate harmonious palettes with WCAG accessibility compliance
  • Complementary palettes (2 colors)
  • Triadic palettes (3 colors, 120° apart)
  • Split-complementary palettes (3 colors)
  • Tetradic palettes (4 colors, 90° apart)
• Color Conversions: RGB, HSL, CMYK, and HEX formats
• PDF Reports: Generate comprehensive color swatch documents with visualizations
• Batch Processing: Process multiple files at once via CLI with consolidated reports
• Security: Input validation and protection against DoS/ReDoS attacks
• Performance: Optimized image processing with LRU caching

Installation

pip install chromaspec

For image processing support:

pip install chromaspec[image]
# or
pip install Pillow

For development:

pip install chromaspec[dev]

Quick Start

Command Line

# Process an SVG file
chromaspec image.svg

# Process an image file
chromaspec photo.png

# Specify custom output
chromaspec image.jpg custom_report.pdf

# Batch process multiple files (generates consolidated JSON report)
chromaspec --batch --pattern "*.svg" --output report.json

# Batch process with individual PDFs
chromaspec --batch --pattern "images/*.png" --pdfs

# Batch process with CSV output
chromaspec --batch --pattern "*.jpg" --output results.csv --format csv

# Enable verbose logging
chromaspec image.svg -v

# Suppress output except errors
chromaspec image.png -q

Python API

from pathlib import Path
from chromaspec import ChromaSpec

# Initialize analyzer
analyzer = ChromaSpec()

# Extract colors from a file
colors = analyzer.extract_colors(Path("image.png"))

# Analyze colors
categories = analyzer.categorize_colors(colors)

# Generate color harmonies
from chromaspec.analyzers import get_complementary_color
comp = get_complementary_color("#FF0000")

# Check accessibility
from chromaspec.analyzers import get_contrast_ratio, get_wcag_rating
ratio = get_contrast_ratio("#FF0000", "#FFFFFF")
rating = get_wcag_rating(ratio)

# Generate color palettes with accessibility
from chromaspec.generators import (
    ColorPalette,
    generate_accessibility_palette,
    generate_triadic_palette,
)
palette = generate_triadic_palette("#FF0000", target_rating="AA")
print(f"Primary: {palette.primary}")
print(f"Secondary: {palette.secondary}")
print(f"Background: {palette.background}")
print(f"WCAG Rating: {palette.wcag_rating}")

# Check dark mode compatibility
from chromaspec.analyzers import check_dark_mode_compatibility
result = check_dark_mode_compatibility("#FF0000")
print(f"Compatible: {result.is_compatible}")
print(f"Light mode: {result.light_contrast:.2f}:1 ({result.light_rating})")
print(f"Dark mode: {result.dark_contrast:.2f}:1 ({result.dark_rating})")

Supported File Formats

• SVG: .svg
• Images: .png, .jpg, .jpeg, .gif, .bmp, .tiff, .webp

New Features Documentation

Color Palette Generator

Generate harmonious color palettes that meet WCAG accessibility standards:

from chromaspec.generators import (
    generate_accessibility_palette,
    generate_triadic_palette,
    generate_split_complementary_palette,
    generate_tetradic_palette,
)

# Generate complementary palette (2 colors)
palette = generate_accessibility_palette("#FF0000", target_rating="AA")
print(palette)

# Generate triadic palette (3 colors, 120° apart)
palette = generate_triadic_palette("#3B82F6", target_rating="AAA")

# Generate split-complementary palette
palette = generate_split_complementary_palette("#10B981")

# Generate tetradic palette (4 colors, 90° apart)
palette = generate_tetradic_palette("#8B5CF6")

Dark Mode Compatibility Checker

Verify that colors work well in both light and dark themes:

from chromaspec.analyzers import (
    check_dark_mode_compatibility,
    generate_dark_mode_palette,
    get_compatible_text_color,
    suggest_dark_mode_adjustments,
)

# Check a single color
result = check_dark_mode_compatibility("#333333")
if result.is_compatible:
    print("✓ Color works in both modes")
else:
    print("✗ Color needs adjustment")

# Generate a full palette tested for dark mode
results = generate_dark_mode_palette("#FF0000")
for color_name, result in results.items():
    print(f"{color_name}: {'✓' if result.is_compatible else '✗'}")

# Find a text color that works in both modes
text_color = get_compatible_text_color(
    background_light="#FFFFFF",
    background_dark="#121212",
    target_rating="AA"
)

# Get suggestions to fix incompatible colors
suggestions = suggest_dark_mode_adjustments("#FF0000")
for suggestion in suggestions:
    print(f"Try {suggestion['color']} ({suggestion['adjustment']})")

Batch Processing CLI

Process multiple files at once with consolidated reports:

# Generate JSON report
chromaspec --batch --pattern "*.svg" --output report.json

# Generate CSV report
chromaspec --batch --pattern "images/*.png" --output results.csv --format csv

# Generate individual PDFs + consolidated report
chromaspec --batch --pattern "*.jpg" --pdfs --output summary.json

# Quiet mode (less output)
chromaspec --batch --pattern "*.svg" --output report.json -q

# Using a directory
chromaspec --batch ./my_images --output report.json

Report format includes:

• File-by-file color breakdown
• Red, Green, and Blue color counts
• Total colors per file
• Summary statistics (total files, colors found, average colors per file)
• Error tracking for failed files

Module Documentation

chromaspec.converters

Color conversion functions:

from chromaspec.converters import hex_to_rgb, rgb_to_hsl, rgb_to_cmyk

# HEX to RGB
rgb = hex_to_rgb("#FF0000")  # (255, 0, 0)

# RGB to HSL
hsl = rgb_to_hsl((255, 0, 0))  # (0.0, 100.0, 50.0)

# RGB to CMYK
cmyk = rgb_to_cmyk((255, 0, 0))  # (0, 100, 100, 0)

# Calculate luminance (for contrast ratios)
from chromaspec.converters import calculate_luminance
lum = calculate_luminance((255, 0, 0))  # ~0.21

chromaspec.analyzers

Color analysis and classification:

from chromaspec.analyzers import (
    is_red_color, is_green_color, is_blue_color,
    categorize_colors,
    get_complementary_color, get_analogous_colors,
    get_contrast_ratio, get_wcag_rating
)

# Classify colors
is_red_color((255, 0, 0))  # True

# Get color harmonies
comp = get_complementary_color("#FF0000")  # "#00FFFF"
analogs = get_analogous_colors("#FF0000")  # ("#FF9900", "#FF0099")

# Accessibility analysis
ratio = get_contrast_ratio("#FF0000", "#FFFFFF")  # ~3.98
rating = get_wcag_rating(ratio)  # "AA Large"

chromaspec.extractors

Color extraction from files:

from pathlib import Path
from chromaspec.extractors import extract_colors

# Extract colors with frequencies
colors = extract_colors(Path("image.svg"))
# Returns: {"#FF0000": 25.5, "#00FF00": 30.2, ...}

# Extract specific formats
from chromaspec.extractors import extract_hex_colors_from_svg
svg_colors = extract_hex_colors_from_svg(svg_content)

from chromaspec.extractors import extract_colors_from_image
img_colors = extract_colors_from_image(Path("photo.png"))

chromaspec.generators

PDF report generation:

from pathlib import Path
from chromaspec.generators import generate_color_pdf
from chromaspec.analyzers import categorize_colors

# Generate PDF report
colors = extract_colors(Path("image.png"))
categories = categorize_colors(colors)
generate_color_pdf(
    Path("report.pdf"),
    categories,
    Path("image.png")
)

Development

Running Tests

# Install development dependencies
pip install -e .[dev]

# Run tests
pytest

# Run tests with coverage
pytest --cov=chromaspec --cov-report=html

# Run specific test file
pytest tests/test_converters.py

Code Quality

# Format code with Black
black chromaspec tests

# Sort imports with isort
isort chromaspec tests

# Lint with flake8
flake8 chromaspec tests

# Type check with mypy
mypy chromaspec

Pre-commit Hooks

# Install pre-commit hooks
pre-commit install

# Run pre-commit manually
pre-commit run --all-files

Project Structure

chromaspec/
├── __init__.py                # Package initialization
├── cli.py                     # Command-line interface with batch support
├── exceptions.py              # Custom exception hierarchy
├── analyzers/                 # Color analysis modules
│   ├── classification.py      # Color categorization
│   ├── harmonies.py           # Color harmony calculations
│   ├── accessibility.py       # WCAG contrast analysis
│   └── dark_mode.py           # Dark mode compatibility checker
├── converters/                # Color conversion modules
│   ├── rgb_converters.py      # RGB, CMYK, HEX conversions
│   └── hsl_converters.py      # HSL conversions
├── extractors/                # Color extraction modules
│   ├── svg_extractor.py       # SVG color extraction
│   └── image_extractor.py     # Image color extraction
├── generators/                # PDF generation modules
│   ├── pdf_pages.py           # PDF page layouts
│   ├── charts.py              # Chart generation
│   ├── accessibility_page.py
│   ├── palette.py             # Color palette generator
│   └── pdf_generator.py       # Main PDF generator
└── utils/                     # Utility modules
    ├── constants.py           # Configuration constants
    └── validators.py          # Input validation

Performance Optimizations

• LRU Caching: RGB to HSL conversions are cached for repeated lookups
• Image Resizing: Large images are automatically resized for efficient processing
• Memory Efficiency: Color counting uses Counter directly on pixel data iterators
• Input Validation: Size limits prevent DoS attacks on SVG processing

Security

• Input validation for all user-provided data
• Protection against ReDoS (Regex Denial of Service) attacks
• File format validation before processing
• Size limits for SVG content and color matches

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Make your changes with tests
4. Run the linters and tests
5. Submit a pull request

License

MIT License - see LICENSE for details.

Citation

If you use ChromaSpec in your research, please cite:

@software{chromaspec,
  author = {Semoglou, Michail},
  title = {ChromaSpec: Color Palette Analyzer},
  version = {1.1.1},
  year = {2026},
  url = {https://github.com/MichailSemoglou/chromaspec},
  doi = {10.5281/zenodo.17864788}
}

Acknowledgments

• Color conversion algorithms based on standard color science
• WCAG accessibility calculations follow W3C specifications
• ReportLab for PDF generation
• Pillow for image processing