Bulk Image Resizer 🚀

A high-performance Python tool for recursive image optimization.

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🚀 Key Features

• Multithreaded: Uses ThreadPoolExecutor for batch processing.
• LANCZOS Scaling: High-quality resampling via Pillow.
• Modular Logging: Professional log tracking.
• Progress Tracking: Real-time visual feedback with tqdm.

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⚒️ Setup

Clone the repository and install dependencies:

git clone [https://github.com/reory/bulk_image_resizer.git](https://github.com/reory/bulk_image_resizer.git)
cd bulk_image_resizer
bash
pip install -r requirements.txt

Configure Paths

Open resizer.py and update your source and destination folders:
src = r"C:\Users\Admin\Desktop\Photos"
dest = r"C:\Users\Admin\Desktop\Optimized_Photos"

Run

python resizer.py

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🗺️ Future Roadmap Features

• CLI Support: Use argparse to pass paths and dimensions via terminal.

• Format Expansion: Add .webp and .png support with auto-conversion.

• Efficiency Report: Calculate and log total "MB Saved" at session end.

• De-duplication: Use MD5 hashing to skip identical files and save time.

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Notes

Any issues with the code please feel free to reach out to me. Cheers 😁

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See LICENSE.md for usage rights and CONTRIBUTING.md for how to help.

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• Built by Roy Peters