![]() Optimally I would like to generate multiple versions for different screen sizes ( example.jpg → should become: example_x265.jpg, example_x128.jpg.For local development, it is irrelevant ( ng serve).I would like to compress them at build time ( ng build -prod).( you can read more about the topic on this lighthouse linked page) ImageKit is a cloud-based image compression and optimization tool.I have very big images in my assets, which slows down the site by a lot for slower networks. Image compression made easier with ImageKit To compress our image flawlessly, we'll use ImageKit compression with its URL-based image transformations. We compressed the image using the Canvas method and the JavaScript library in the previous steps however, using this strategy, the image was compressed at the expense of image quality, effect, and other criteria. We can also try out the demo via this code sandbox link. With all these settings in place, we can now test our application, and we should have something similar to what we have below. ![]() We called the handleFileUpload method in the onChange attribute of the input tag and the handleCompression method in the onClick attribute of the Compress button in the snippet above. Let us add the snippet below to create the calculateSize function.įunction calculateSize(img, maxWidth, maxHeight) We need to create a function to handle image size calculation and read image bytes before calculating image size and creating a canvas for image compression. Calculate image size and Create canvas We can now read the file, utilize the onload callback to process and also create a helper image object using the blob URL as the image source, as shown below:Ĭonst file = // get the fileĬonst blobURL = URL.createObjectURL(file) const MAX_WIDTH = 320 Ĭonst INPUT = document.getElementById("imgId") We'll add the code snippet below into script.js to declare max_width and max_height, which we'll use to compute the image size uploaded later in the tutorial. We'll put the following snippet inside index.html to make a simple HTML structure referencing the script.js file we created earlier. Using the command below, we'll create the script.js and index.html files. We will enter the following command to start Visual Studio Code from the terminal. code. Note : If you don't have Visual Studio Code installed, you won't be able to use code. To get started, we'll need to set up our project. Now that we know the need for image compression let’s get cut to the chase on how to do it using Canvas. Google does more weightage to websites that perform well on mobile devices.Īlso, some web hosting firms also require compressed images to develop websites that load faster than their competitors. Using images that are less in weight will help the web load faster on mobile phones. As a result, the lower the image weight, the higher the web's score and the chances of scoring higher SERPs. Google search engines use the loading speeds of online pages to rank web pages. You can keep compressing the image until it's the size you want, depending on the sort of file you're squeezing. The most fundamental benefit of image compression is that it reduces file size. ![]() Image compression delivers several benefits, including: This tutorial will look at compressing images using canvas, browser-image-compression JavaScript library, and ImageKit. Why do you need image compression? ![]() In addition to these techniques, you can compress images using JavaScript and dedicated tools. It is often used in medical imaging, technical drawings, clip art, comics, etc. Lossless compression is favored for archiving purposes because it can retain the original asset without resulting in data loss. Imagine writing a logo para in shorthand that a system can read and understand. ![]() Instead, it “packs” the data into smaller sizes. On the other hand, lossless compression does not lose data in the process. However, if done correctly, the data loss is not usually noticeable. Since the original image cannot be restored, it is also referred to as irreversible compression. Lossy compression is where the original image file is removed and replaced with the compressed image file. Image compression can be done in two ways - lossy or lossless. So, it helps compress these images in file size to remain appealing to the users without hindering UX. However, they can slow down your website and hamper your user experience. High-quality images go a long way in impressing your website visitors. ![]()
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