Python Bulk Image Compressor

py-bulk-image-compressor is a user-friendly CLI tool for compressing and resizing images in bulk. It offers extensive options for managing image quality, format, and metadata while maintaining fast, efficient performance.

Key Features

• Supports Multiple Formats: JPEG, PNG, WEBP, AVIF, HEIF, and more.
• Metadata Handling: Choose whether to preserve or remove EXIF data.
• Multicore Processing: Utilizes all available CPU cores.
• Flexible Settings: Customize output quality, max width, and destination directory.

Installation

From PyPI

pip install py-bulk-image-compressor

Requires Python 3.10+

From Source

1. Clone the repository:

   git clone https://github.com/georgekhananaev/py-image-compressor.git
   cd py-image-compressor
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Install locally:

   pip install .
   

4. Run the CLI:

   py-bulk-image-compressor -h
   

Usage

After installation, you can run:

py-bulk-image-compressor -h

Example Commands

1. Basic compression and resize:

   py-bulk-image-compressor -l "path/to/original_images" -d "path/to/output"
   

   Uses default format (jpeg), quality=80, max_width=1920px.

2. Specific format and quality:

   py-bulk-image-compressor -l "path/to/original_images" \
       -d "path/to/output" -f webp -w 800 -q 70
   

3. Remove metadata & skip larger compressed files:

   py-bulk-image-compressor -l "path/to/original_images" \
       -d "path/to/output" -rm y -r y
   

Logs are saved to logs.txt in the current cmd/terminal working directory. Installation & Usage screenshot below:

Command-Line Options

Logging

• Generates or appends to a logs.txt file in your current working directory.
• The configurations.ini file controls log settings (e.g., max_rows).

Contributing

1. Fork the repository.
2. Create a new branch: git checkout -b feature-name.
3. Commit your changes: git commit -m "Add awesome feature".
4. Push to your branch: git push origin feature-name.
5. Open a pull request on GitHub.

License

This project is licensed under the MIT License.

Questions or Issues?

• Open an issue on GitHub
• Contributions, suggestions, and bug reports are welcome!

Support

If you find this tool helpful, consider supporting:

Your support helps me continue to create and maintain useful projects.

Updates

13/04/2025

1. Added JPEG normalization step to ensure consistent color‑space conversion and correct chroma placement.
2. Upgraded compressor to use progressive encoding, optimized Huffman tables, and 4:2:0 subsampling by default for smaller output sizes.
3. Added official support for Python 3.13.x.

27/01/2025

1. Deployed to pypi, installation:

     pip install py-bulk-image-compressor
   

   usage:

     py-bulk-image-compressor -h
   

26/01/2025

1. EXIF metadata is preserved if supported by the output format (e.g., JPEG).
2. Added support for .avif format (requires pillow-avif-plugin).
3. Minor speed optimizations for faster compression.
4. Updated requirements.txt with the latest package versions.
5. Added logs, which is exported to logs.txt
6. Added tests, use

     pytest --maxfail=1 --disable-warnings -v
   

02/12/2023

1. Automatic detection and handling of RGB/RGBA channels.
2. Thanks to "ZenithVal" for the suggestion.

06/04/2023

1. Updated README.md.
2. Updated requirements.txt with the latest package versions.

12/12/2022

1. Introduced a resources folder containing configurations.ini for storing program settings.
2. Set up future GUI plans using customtkinter.
3. Removed PySimpleGUI from dependencies.

06/12/2022

1. Default values added for -d, -f, and -q options. You can run:

   python main.py -l "C:/Your Folder/"
   

   Defaults: JPEG format, 80% quality, 1920px max width, /data/output/ as the destination folder.
2. Simplified the code using *args and **kwargs.

05/12/2022

1. Added support for .heif and .heic formats (e.g., iPhone photos).
2. Updated requirements.txt to include pillow-heif.

04/12/2022

1. Improved the output to display the actual size saved for each image, with full multithreading conversion support.
2. Enhanced terminal output for better visualization of size savings.
3. Began GUI development for Windows and Ubuntu.
4. Added -r y to skip retaining larger compressed images.