Use Python for TIF Images Compression
Create Python Apps to Compress TIF Images and Photos via Server APIs
Aspose.Imaging for Python
Overview
How to Compress TIF 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 TIF 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 TIF via Python
You need the aspose-imaging-python-net to try the following workflow in your own environment.
- load TIF 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 TIF 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 TIF via Online App
Compress TIF documents by visiting our Live Demos website The live demo has the following benefits
TIF What is TIF File Format
Read MoreOther Supported Compress Formats
Using Python, one can easily compress different formats including: