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Opti-WebP bulk resizes, compresses and converts non WebP images to an optimized WebP final version

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Opti-WebP

Opti-WebP is an image optimization tool that enables bulk resizing, compression, and conversion of non-WebP images to an optimized WebP format. It helps reduce image file sizes while maintaining visual quality, making it suitable for web development and optimization tasks.

Installation

-You can download the latest release: Latest Release

-OR you can download this repo and run the .exe, or simply run the opti-webp.py program yourself although you are likely to require downloading some additional libraries and you should remove the icon function.

Features

  • Bulk resize, compress, and convert non-WebP images to WebP format.
  • Limit the maximum width/height of images while preserving aspect ratio.
  • Supports various image formats, including PNG, JPEG, GIF, BMP, HEIC, TIFF, and TIF.
  • Optimized images are saved as WebP format, providing smaller file sizes.
  • Easy-to-use GUI for selecting the target directory and configuring the max dimension size.

Usage

  1. Download the latest release from the Releases page.
  2. Extract the contents of the release package.
  3. Run the opti-webp.exe executable.
  4. Choose the directory containing the images you want to optimize.
  5. Set the maximum dimension size (width/height) for the images. (500px-4000px is suggested)
  6. Click the "OK" button to start the optimization process.
  7. Opti-WebP will resize, compress, and convert the images to WebP format.
  8. The optimized images will be saved in the same directory with "_resized.png" and ".webp" extensions.
  9. Once the optimization process is complete, you can find the optimized images in the target directory.

Credits

Opti-WebP is created by John Large (aka bloom) and is available at GitHub. Visit the website for more information and updates.

License

This project is licensed under the MIT License.

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Opti-WebP bulk resizes, compresses and converts non WebP images to an optimized WebP final version

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