Clip2l

A command-line tool for processing comic images for web publishing platforms (e.g., Webtoon).

Features

• Batch resize and split images to fit publisher requirements
• Supports JPG and PNG input
• Output images with custom width and max height (default: 800x1280)
• Maintains reading order (by filename or list file)
• Output files named with 3-digit prefix and original filename
• Easy integration as a Python module

Usage

Command-line

python Clip2l.py -i <input_dir> -o <output_dir> [-w <width>] [-H <height>] [-l <list_file>] [-s]

• -i, --input: Input directory with images or a text file with image paths
• -o, --output: Output directory for processed images
• -w, --width: Target width (default: 800)
• -H, --height: Max height per output image (default: 1280)
• -l, --list-file: Optional text file with image paths in order
• -s, --sequence: Sequence mode — concatenate images and slice across boundaries

Command-line Examples

# Process all images in a directory
python Clip2l.py -i input -o output -w 800 -H 1280

# Process images from a list file with custom dimensions
python Clip2l.py -l images.txt -o output -w 1024 -H 1536

# Process as sequence (image slices are concatenated vertically to match requested height)
python Clip2l.py -i input -o output -w 800 -H 1280 -s

Graphical Interface (Experimental)

python gui_tkinter.py

• Tkinter-based GUI for interactive image processing
• Select files, configure output directory and dimensions
• Toggle sequence mode via checkbox
• View processing logs in real-time

Project structure

• Clip2l.py — main CLI script
• image_processor/ — core image processing module
• gui_tkinter.py — experimental Tkinter GUI interface (local development only)
• test/ — test scripts and sample images

License

This project is licensed under the MIT License — see the LICENSE file for details.

You are free to use, modify, and distribute this software for any purpose (personal, educational, or commercial) without restrictions.

Dependencies

All dependencies use permissive open-source licenses (MIT, Apache-2.0, BSD). Run python -m piplicenses to view the full license list.