High performance module to resize JPEG, PNG, WebP and TIFF 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.
adj
The typical use case for this high speed Node.js module is to convert large JPEG, PNG, WebP and TIFF images to smaller images of varying dimensions.
The performance of JPEG resizing is typically 15x-25x faster than ImageMagick and GraphicsMagick, based mainly on the number of CPU cores available.
This module supports reading and writing images to and from both the filesystem and Buffer objects (TIFF is limited to filesystem only). Everything remains non-blocking thanks to libuv.
Under the hood you'll find the blazingly fast libvips image processing library, originally created in 1989 at Birkbeck College and currently maintained by John Cupitt.
For the sharpest results, please compile libvips from source.
npm install sharp
var sharp = require("sharp");
Scale and crop to width x height calling callback when complete.
input can either be a filename String or a Buffer.
output can either be a filename String or one of sharp.buffer.jpeg, sharp.buffer.png or sharp.buffer.webp to pass a Buffer containing JPEG, PNG or WebP image data to callback.
width is the Number of pixels wide the resultant image should be.
height is the Number of pixels high the resultant image should be.
options is optional, and can contain one or more of:
canvas can be one of sharp.canvas.crop, sharp.canvas.embedWhite or sharp.canvas.embedBlack. Defaults to sharp.canvas.crop.sharpen when set to true will perform a mild sharpen of the resultant image. This typically reduces performance by 30%.progressive when set will use progressive (interlace) scan for the output. This typically reduces performance by 30%.sequentialRead is an advanced setting that, when set, switches the libvips access method to VIPS_ACCESS_SEQUENTIAL. This will reduce memory usage and can improve performance on some systems.callback gets two arguments (err, buffer) where err is an error message, if any, and buffer is the resultant image data when a Buffer is requested.
sharp.resize("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
});
sharp.resize("input.jpg", sharp.buffer.jpeg, 300, 200, {progressive: true}, function(err, buffer) {
if (err) {
throw err;
}
// buffer contains progressive JPEG image data
});
sharp.resize("input.webp", sharp.buffer.png, 300, 200, {sharpen: true}, function(err, buffer) {
if (err) {
throw err;
}
// buffer contains sharpened PNG image data (converted from JPEG)
});
sharp.resize(buffer, "output.tiff", 200, 300, {canvas: sharp.canvas.embedWhite}, function(err) {
if (err) {
throw err;
}
// output.tiff is a 200 pixels wide and 300 pixels high image containing a scaled version
// of the image data contained in buffer embedded on a white canvas
});
sharp.resize("input.jpg", sharp.buffer.webp, 200, 300, {canvas: sharp.canvas.embedBlack}, function(err, buffer) {
if (err) {
throw err;
}
// buffer contains WebP image data of 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:
-file-buffer indicates read from file and write to buffer, -buffer-file indicates read from buffer and write to file etc.
-sharpen, -progressive etc. demonstrate the negative effect of options on performance.
imagemagick x 5.53 ops/sec ±0.62% (31 runs sampled)
gm-file-file x 4.10 ops/sec ±0.41% (25 runs sampled)
gm-file-buffer x 4.10 ops/sec ±0.36% (25 runs sampled)
epeg-file-file x 23.82 ops/sec ±0.18% (60 runs sampled)
epeg-file-buffer x 23.98 ops/sec ±0.16% (61 runs sampled)
sharp-buffer-file x 20.76 ops/sec ±0.55% (54 runs sampled)
sharp-buffer-buffer x 20.90 ops/sec ±0.26% (54 runs sampled)
sharp-file-file x 91.78 ops/sec ±0.38% (88 runs sampled)
sharp-file-buffer x 93.05 ops/sec ±0.61% (76 runs sampled)
sharp-file-buffer-sharpen x 63.09 ops/sec ±5.58% (63 runs sampled)
sharp-file-buffer-progressive x 61.68 ops/sec ±0.53% (76 runs sampled)
sharp-file-buffer-sequentialRead x 60.66 ops/sec ±0.38% (75 runs sampled)
imagemagick x 4.27 ops/sec ±0.21% (25 runs sampled)
gm-file-file x 8.33 ops/sec ±0.19% (44 runs sampled)
gm-file-buffer x 7.45 ops/sec ±0.16% (40 runs sampled)
sharp-buffer-file x 4.94 ops/sec ±118.46% (26 runs sampled)
sharp-buffer-buffer x 12.59 ops/sec ±0.55% (64 runs sampled)
sharp-file-file x 44.06 ops/sec ±6.86% (75 runs sampled)
sharp-file-buffer x 46.29 ops/sec ±0.38% (76 runs sampled)
sharp-file-buffer-sharpen x 38.86 ops/sec ±0.22% (65 runs sampled)
sharp-file-buffer-progressive x 46.35 ops/sec ±0.20% (76 runs sampled)
sharp-file-buffer-sequentialRead x 29.02 ops/sec ±0.62% (72 runs sampled)
Copyright 2013, 2014 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 5,590,036 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Node.js will be enforcing stricter semver-major PR policies a month before major releases to enhance stability and ensure reliable release candidates.
Security News
Research
Socket's threat research team has detected five malicious npm packages targeting Roblox developers, deploying malware to steal credentials and personal data.
Security News
vlt introduced its new package manager and a serverless registry this week, innovating in a space where npm has stagnated.