pil_image_converter 3.0.2

Converts images from one format to another using Pillow. Currently supports JPG, PNG, BMP, and WebP.

Pillow Image-Format Converter

Description

pil_image_converter is a Python package for converting images between different formats using the Pillow library. It supports conversions between JPG, PNG, BMP, and WebP formats.

Contributions always welcome!

Features

• Convert images between JPG, PNG, BMP, and WebP formats
• Batch conversion of multiple images
• Simple command-line interface
• Skips conversion if the input and output formats are the same

Usage

Dependencies

• Pillow >= 11.0.0

Setup

To set up the development environment:

1. Clone the repository
2. Install PDM if you haven't already: pip install pdm
3. Install dependencies: pdm install
4. Convert images: python main.py ./input_image.jpg ./output_image.png png

Using main.py directly as a CLI tool (Recommended)

If you've cloned the repository or downloaded the source code, you can use the main.py file directly:

1. Navigate to the directory containing main.py
2. Run the following command:

python main.py <input_path> <output_path> <output_format>

Example:

python main.py ./input_image.jpg ./output_image.png png

For batch conversion:

python main.py ./input_directory ./output_directory png

Note: You should use quotations for paths containing spaces. -> Ex.: python main.py "./input directory" "./output directory" jpg

Using the pil_image_converter package

You can use the pil_image_converter package directly from the command line:

python -m pil_image_converter <input_path> <output_path> <output_format>

• <input_path>: Path to the input image file or directory
• <output_path>: Path to save the converted image(s)
• <output_format>: Desired output format (jpg, png, bmp, or webp)

Example:

python -m pil_image_converter ./input_image.jpg ./output_image.png png

For batch conversion, provide a directory as the input path:

python -m pil_image_converter ./input_directory ./output_directory png

Using pil_image_converter in your own projects

1. First, ensure you're working within a virtual environment with PDM:

   pdm install

2. In your Python script, import the necessary functions:

from pil_image_converter import collect_images, ImageConverter

To convert a single image, use the ImageConverter class directly:

converter = ImageConverter('path/to/input/image.jpg', 'path/to/output/image.png', 'png')
converter.convert()

For batch conversion, you can pass in directories as arguments instead of individual image paths. Then, use the collect_images function and loop through the results:

from pil_image_converter import collect_images, ImageConverter

input_directory = 'path/to/input/directory'
output_directory = 'path/to/output/directory'
output_format = 'png'

image_files = collect_images(input_directory)

for input_path in image_files:
    filename = os.path.basename(input_path)
    name, _ = os.path.splitext(filename)
    output_path = os.path.join(output_directory, f"{name}.{output_format}")
    convert_image(input_path, output_path, output_format)

License

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

Version

3.0.0