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High performance module to resize JPEG and PNG images using the libvips image processing library
The sharp npm package is a high-performance Node.js module for resizing, converting, and manipulating images. It is built around the libvips image processing library, which allows it to handle large images and perform operations quickly and with a low memory footprint.
Image Resizing
Resizes an image to the specified width and height.
sharp('input.jpg').resize(300, 200).toFile('output.jpg', (err, info) => {});
Format Conversion
Converts an image from one format to another, such as JPEG to PNG.
sharp('input.jpg').toFormat('png').toBuffer().then(data => {});
Image Rotation
Rotates an image by a specified degree.
sharp('input.jpg').rotate(90).toBuffer().then(data => {});
Extracting Image Regions
Extracts a region of the image starting at the left and top offsets and with the specified width and height.
sharp('input.jpg').extract({ left: 100, top: 100, width: 300, height: 200 }).toFile('output.jpg', (err, info) => {});
Image Overlay
Overlays an image on top of another using composition.
sharp('input.jpg').composite([{ input: 'overlay.png', gravity: 'southeast' }]).toFile('output.jpg', (err, info) => {});
Adjusting Image Quality
Adjusts the quality of an image, useful for optimizing the file size.
sharp('input.jpg').jpeg({ quality: 80 }).toBuffer().then(data => {});
ImageMagick is a software suite to create, edit, compose, or convert bitmap images. It can read and write images in a variety of formats. It is more comprehensive than sharp but can be slower and more memory-intensive.
An image processing library for Node written entirely in JavaScript, with zero native dependencies. Jimp is more accessible due to its pure JavaScript nature but generally performs slower than sharp.
GraphicsMagick for node.js, which is an image processing library that is a fork of ImageMagick. It is similar to ImageMagick in functionality and also provides a comprehensive set of image manipulation features but may not be as fast as sharp.
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The typical use case for this high speed Node.js module is to convert large JPEG and PNG images to smaller JPEG and PNG images of varying dimensions.
It is somewhat opinionated in that it only deals with JPEG and PNG images, always obeys the requested dimensions by either cropping or embedding and insists on a mild sharpen of the resulting image.
Under the hood you'll find the blazingly fast libvips image processing library, originally created in 1989 at Birkbeck College and currently maintained by the University of Southampton.
Performance is 4x-8x faster than ImageMagick and 2x-4x faster than GraphicsMagick, based mainly on the number of CPU cores available.
For the sharpest results, please compile libvips from source.
If you prefer to run a stable, package-managed environment such as Ubuntu 12.04 LTS, v0.0.3 will work with the libvips-dev package.
npm install sharp
var sharp = require("sharp");
Scale and crop inputPath
to width
x height
and write to outputPath
calling callback
when complete.
Example:
sharp.crop("input.jpg", "output.jpg", 300, 200, function(err) {
if (err) {
throw err;
}
// output.jpg is a 300 pixels wide and 200 pixels high image
// containing a scaled and cropped version of input.jpg
});
Scale and embed inputPath
to width
x height
using a white canvas and write to outputPath
calling callback
when complete.
sharp.embedWhite("input.jpg", "output.png", 200, 300, function(err) {
if (err) {
throw err;
}
// output.jpg is a 200 pixels wide and 300 pixels high image
// containing a scaled version of input.png embedded on a white canvas
});
Scale and embed inputPath
to width
x height
using a black canvas and write to outputPath
calling callback
when complete.
sharp.embedBlack("input.png", "output.png", 200, 300, function(err) {
if (err) {
throw err;
}
// output.png is a 200 pixels wide and 300 pixels high image
// containing a scaled version of input.png embedded on a black canvas
});
npm test
Test environment:
Copyright 2013 Lovell Fuller
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
FAQs
High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, GIF, AVIF and TIFF images
The npm package sharp receives a total of 5,693,878 weekly downloads. As such, sharp popularity was classified as popular.
We found that sharp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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