Approximately 62 percent of today’s online content is made up of images, optimizing which is a must to speed up loading of media-rich websites. A fast loading site makes your visitors happy, which as a rule leads to higher conversion rates.
This article shows you how to optimize Python images.
Three major reasons account for why optimizing images for websites is important:
- SEO: Your website speed is a crucial ranking and engagement factor, that is, the site’s load time and overall size directly affects your search-engine ranking. Optimized images invariably cause your site to load faster.
- Storage: Optimized images result in smaller files, hence less storage space.
- Bandwidth: Optimized images save data bandwidth, correspondingly lowering your hosting cost and your site visitors’ data usage.
You can optimize images in Python in one of the following ways:
- With Pillow, which builds on PIL by adding more features and support for Python 3. Pillow works with many image formats, including PNG, JPEG, PPM, GIF, TIFF, and BMP.
- With img4web, a Python script that optimizes JPEG, PNG, and animated GIF images on the web. The script produces lossless and only slightly compressed images, which nonetheless reduce load time and your site’s bandwidth.
- With smush.py, a Python command-line tool that functions as a lossless image optimizer for displaying images online. Smush.py originated from Yahoo’s smush.it service.
- With Tinify, a Python package for compressing and optimizing JPEG and PNG images by means of the Tinify API.
- With scikit-image, an image-processing library in Python with a versatile set of routines, e.g.,
resize, for optimizing and transforming images.
With Cloudinary, you can efficiently optimize media assets—regardless of programming language. One reason is that, by default, Cloudinary automatically performs certain optimization steps on all transformed images. Plus, its integrated, fast delivery capability through CDNs ensures that your images are seamlessly displayed on your viewers’ devices.
Cloudinary offers the following optimization capabilities:
Automatic quality adjustment and encoding: Once you have set up the
q_autoparameter for an image, Cloudinary chooses the optimal quality-compression level and encoding settings according to the image content, its format, and the viewing browser. The result is a compressed image with superior visual quality. See this example:URL:Java:Vue.js:Angular:.Net:Android:
To fine-tune the visual quality of your images, set up the
q_auto:ecoparameter, as you desire.
Automatic formatting: The
f_autoparameter enables Cloudinary to analyze the image content and select the best format for delivery. For example, it might deliver images as WebP to Chrome or as JPEG-XR to Internet Explorer but retain the original format for all other browsers. With both
q_autoin place as parameters, Cloudinary would still deliver WebP and JPEG-XR to the relevant browsers. However, if the quality algorithm determines that PNG-8 or PNG-24 is the optimal format, Cloudinary might deliver selected images in either of those formats.
Resizing and cropping: By adding the width (
w) and height (
h) parameters to their URLs, you can resize images with Cloudinary, as in this example:URL:Java:React:Vue.js:Angular:.Net:Android:URL:Java:React:Vue.js:Angular:.Net:Android:
Here, Cloudinary maintains the aspect ratio but resizes the image to the height and width you specified.
Properly optimizing and caching images is a crucial step toward enhancing website performance. The tips this post offers are just a start. See the Cloudinary documentation for more ideas on optimization of JPEG images without compromising quality and on image transformations.
Cloudinary offers easy-to-use, cloud-based media-management solutions for the world’s top brands. With offices in the U.S., U.K., and Israel, Cloudinary has quickly become the de facto solution used by developers and marketers at major companies around the world to streamline rich-media management and deliver optimal end-user experiences.
- Website Image Optimization and Fast Delivery With Cloudinary
- Vue.js Tutorial: Images Optimization for Web Apps
- Python Image Optimization and Manipulation
- Image Optimization in Ruby
- Image Optimization for WordPress
- Learn About the Pros and Cons of JPEG 2000
- Adopting the WebP Image Format for Android on Websites Or Native Apps
- Ten Website Image Mistakes That Slow Load Times
- Automatically Reduce Image Size Without Losing Quality
- Automate Placeholder Generation and Accelerate Page Loads
- Three Ways to Do Progressive JPEG Encoding