![]() ![]() In this example, we start by creating an instance of the sharp module. toFile(_dirname + '/processed_images/grayscale_robo.jpg') Next, copy the following code: const sharp = require('sharp') To convert an image to grayscale, create a new file in the editor’s terminal: touch _grayscale.js Now, open the directory using your favorite IDE. Next, migrate to a new directory: cd sharp_project To set up a sharp image project, start by creating a new directory in the editor’s terminal: mkdir sharp_project The only prerequisite for this tutorial is a system set up with Node.js and npm. In this tutorial, we’ll analyze and modify an image using the sharp Node.js library. This module can produce images in JPEG, PNG, WebP, AVIF, and TIFF formats as well as uncompressed raw pixel data. sharp can read JPEG, PNG, WebP, AVIF, TIFF, GIF, and SVG image formats. Sharp converts large common image formats to smaller, web-friendly images. sharp compresses images faster than most other Node.js modules, like ImageMagick, Jimp, or Squoosh, and produces high-quality results. This module assists with UGC management by offering an easy solution for reading, enhancing, and saving image files. Sharp is a high-performance image processing module for Node.js. A robust image processing solution can be invaluable for UGC management. However, excessively large or unoptimized image files can negatively impact performance and user experience. Images are an important component of most applications that handle user-generated content. ![]() Pascal Akunne Follow A JavaScript developer focused on building human-centric products with HTML, CSS, React, Node.js, and MongoDB Processing images with sharp in Node.js ![]()
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