A desktop app written in Python, that exposes and unlocks the full power of Optimize Images in a nice graphical user interface, to help you reduce the file size of images.
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Updated
Jul 15, 2022 - Python
A desktop app written in Python, that exposes and unlocks the full power of Optimize Images in a nice graphical user interface, to help you reduce the file size of images.
Django library that allows optimization of images by using TinyPNG or Pillow
🖼 Streamline/Optimize your Images to save storage space using Tinify API...
🖼 Pixxia uses lossy compression methods to reduce the document size of your JPG/PNG files.
GUI Based Image Compressor. Fastly, image size reducer.
Streamline/Optimize your Images to save storage space...
Tiff Image Compression and Conversion Tool
Research on Image Compression using Deep Neural Networks
A Telegram bot that validates image URLs, downloads the pictures, compresses them, and shares the compressed picture back with the user.
Implementing Singular Value Decomposition for image compression. Part of my unique University of Michigan Math 214 Final Project which explored the application of linear algebra in the real world.
image compressor by using PCA
ImageTool is a collection of functionalities to manipulate images. Built using the Pillow library.
🖼 Optimize your images for web and local storage
Python images vector quantizer lossy compressor and decompressor.
Image-Size-Compressor is a user-friendly website that compresses the size of images for efficient sharing and storage. Developed with Python Flask, HTML, and CSS. Convert MB to KB, GB to MB.
A light weight application with simple GUI for compressing batches of JPG , PNG images
The Image Compression Web Application is a simple Flask-based web application that allows users to upload images for compression while maintaining image quality. The application utilizes the popular Python Imaging Library (PIL) to perform image compression.
Python images scalar quantizer lossy compressor and decompressor.
A light-weight API to compress images
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