Use Python for GIF Images Compression
Create Python Apps to Compress GIF Images and Photos via Server APIs
Aspose.Imaging for Python
Overview
How to Compress GIF Images and Photos with Python
The adapting of images for publishing includes not only creative processes but also technical adjustments, such as file compression. Generally, high-resolution images are necessary for printed materials or outdoor advertising, whereas websites may face challenges with large file sizes. Image compression settings can vary depending on their intended use and where they will be published. Large files can take a considerable amount of time to download, especially on mobile connections, impacting the overall user experience. However, overly compressed images might suffer from blurriness and visible pixelation, undermining the visual quality. Achieving a balance between file size and image quality requires a careful selection of algorithms and compression levels. To compress images in GIF format, we’ll employ Aspose.Imaging for Python via .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for Python platform. You may install it using the following command from your system command.
The system command line
>> pip install aspose-imaging-python-net
Steps to Compress GIF via Python
You need the aspose-imaging-python-net to try the following workflow in your own environment.
- load GIF files with Image.Load method;
- compress images;
- save compressed image to disc in the supported by Aspose.Imaging format.
System Requirements
Aspose.Imaging for Python is supported on all major operating systems. Just make sure that you have the following prerequisites.
- Microsoft Windows / Linux with .NET Core Runtime.
- Python and PyPi package manager.
Compress GIF images - Python
About Aspose.Imaging for Python API
Aspose.Imaging API is an image processing solution to create, modify, draw or convert images (photos) within applications. It offers: cross-platform Image processing, including but not limited to conversions between various image formats (including uniform multi-page or multi-frame image processing), modifications such as drawing, working with graphic primitives, transformations (resize, crop, flip&rotate, binarization, grayscale, adjust), advanced image manipulation features (filtering, dithering, masking, deskewing), and memory optimization strategies. It’s a standalone library and does not depend on any software for image operations. One can easily add high-performance image conversion features with native APIs within projects. These are 100% private on-premise APIs and images are processed at your servers.Compress GIF via Online App
Compress GIF documents by visiting our Live Demos website The live demo has the following benefits
GIF What is GIF File Format
A GIF or Graphical Interchange Format is a type of highly compressed image. Owned by Unisys, GIF uses the LZW compression algorithm that does not degrade the image quality. For each image GIF typically allow up to 8 bits per pixel and up to 256 colours are allowed across the image. In contrast to a JPEG image, which can display up to 16 million colours and fairly touches the limits of the human eye. Back when the internet emerged, GIFs remained the best choice because they required low bandwidth and compatible for the graphics that consume solid areas of colour. An animated GIF combines numerous images or frames into a single file and displays them in a sequence to generate an animated clip or a short video. The colour limitations are up to 256 for each frame and are likely to be the least suitable for reproducing other images and photographs with colour gradient.
Read MoreOther Supported Compress Formats
Using Python, one can easily compress different formats including: