img-characterize

img-characterize

Convert images to character art with support for multiple character sets and formats.

Features

• Multiple character sets (ASCII, Emoji, Chinese, etc.)
• Color and black/white modes
• Multiple output formats (PNG, JPG, TXT)
• Batch processing support
• Automatic character selection based on brightness
• GUI interface for easy use
• Command-line interface for automation
• Image optimization capabilities
• Large image subdivision support

Installation

pip install img-characterize

Quick Start

Command Line

Convert a single image:

img-characterize -i image.jpg -s ascii

Convert multiple images:

img-characterize -i image1.jpg image2.png -s emoji --color

Convert all images in a directory:

img-characterize -i ./images/ -s chinese --color --optimize

Python API

from img_characterize import convert_image

# Simple conversion
output_path = convert_image(
    "input.jpg",
    "output",
    character_set="ascii"
)

# Advanced options
output_path = convert_image(
    "input.jpg",
    "output",
    character_set="emoji",
    detail_level=15,
    complexity=20,
    color_mode=True,
    subdivide=True,
    optimize=True,
    empty_char=True,
    output_formats=["png", "txt"]
)

Command Line Options

• -i, --input: Input image files or directories
• -s, --character-set: Character set to use (default: ascii)
  • Available sets: ascii, arabic, braille, chinese, cyrillic, emoji, hangul, hiragana, katakana, kanji, latin, numbers, numbers+, roman, simple
• -d, --detail-level: Detail level (character size in pixels, default: 12)
• -c, --complexity: Number of different characters to use (default: 12)
• --color: Enable color output
• --subdivide: Subdivide large images
• --optimize: Optimize output files
• --empty-char: Include empty character for darker areas
• -f, --formats: Output formats (png, jpg, txt)

Character Sets

Each character set has different characteristics suitable for different types of images:

• ascii: Good for general use, wide brightness range (2-81)
• emoji: Best for color images, largest brightness range (31-173)
• chinese: Excellent detail, wide range (0-107)
• braille: Compact representation, small range (3-18)
• numbers: Clean look, moderate range (21-43)
• roman: Serif style, good contrast (27-81)

Development

Setup Development Environment

1. Clone the repository:

git clone https://github.com/kodu-ai/img-characterize.git
cd img-characterize

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # Linux/Mac
venv\Scripts\activate     # Windows

1. Install development dependencies:

pip install -e ".[dev]"

Running Tests

pytest tests/

Building Documentation

cd docs
make html

Contributing

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

License

MIT License - see LICENSE file for details.

Acknowledgments

• PIL/Pillow for image processing
• NumPy for numerical operations
• The open-source community for font resources

Troubleshooting

Common Issues

1. Font Not Found

   • Ensure required system fonts are installed
   • Use custom fonts by specifying font_path

2. Memory Issues

   • Use --subdivide for large images
   • Reduce detail_level for faster processing

3. Quality Issues

   • Adjust complexity for more/fewer characters
   • Try different character sets
   • Enable color mode for color-rich images

Error Messages

• "Font not found": Install required system fonts
• "Image too large": Use --subdivide option
• "Invalid character set": Check available sets

Support

• GitHub Issues: Bug reports and feature requests
• Documentation: Full API reference and examples
• Email: [e-mail]

Roadmap

• Additional character sets
• Custom character set support
• Animation support
• Web interface
• Cloud processing support