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0.5.6 • Public • Published


JavaScript Image Manipulation Program

The "JavaScript Image Manipulation Program" :-)

An image processing library for Node written entirely in JavaScript, with zero native dependencies.

The default jimp configuration.

Supported types:

  • @jimp/jpeg
  • @jimp/png
  • @jimp/bmp
  • @jimp/tiff
  • @jimp/gif


npm install --save jimp

Example usage (Promise will never resolve if callback is passed):

var Jimp = require('jimp');
// open a file called "lenna.png"'lenna.png', (err, lenna) => {
  if (err) throw err;
    .resize(256, 256) // resize
    .quality(60) // set JPEG quality
    .greyscale() // set greyscale
    .write('lena-small-bw.jpg'); // save

Using promises:'lenna.png')
  .then(lenna => {
    return lenna
      .resize(256, 256) // resize
      .quality(60) // set JPEG quality
      .greyscale() // set greyscale
      .write('lena-small-bw.jpg'); // save
  .catch(err => {

Module Build

If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't using.

import Jimp from 'jimp/es';


If you're using webpack you can set process.browser to true and your build of jimp will exclude certain parts, making it load faster.

  plugins: [
    new webpack.DefinePlugin({
      'process.browser': 'true'

Basic usage

The static method takes the path to a file, URL, dimensions, a Jimp instance or a buffer and returns a Promise:'./path/to/image.jpg')
  .then(image => {
    // Do stuff with the image.
  .catch(err => {
    // Handle an exception.
  .then(image => {
    // Do stuff with the image.
  .catch(err => {
    // Handle an exception.
  .then(image => {
    // Do stuff with the image.
  .catch(err => {
    // Handle an exception.
  .then(image => {
    // Do stuff with the image.
  .catch(err => {
    // Handle an exception.

In some cases, you need to pass additional parameters with an image's URL. You can pass an object to the method:{
  url: '', // Required!
  headers: {},
  .then(image => {
    // Do stuff with the image.
  .catch(err => {
    // Handle an exception.

Jimp uses phin as it's HTTP client. Phin uses http.request(options[, callback]) or https.request(options[, callback]) methods for making HTTP requests. Phin parses a url with the url.parse(...) method and passes it with all the other parameters as an options to the http.request(options[, callback]) or https.request(options[, callback]) methods.

Briefly speaking, you can pass any options from http.request(options[, callback]), https.request(options[, callback]) or even tls.connect(options[, callback]).

Phin parses a url and combines it with any options you want. This behavior can be very useful when you need to pass some additional headers. Also, you can pass rejectUnauthorized: false if you don't require an SSL certificate to be valid (it helps to prevent unable to verify the first certificate error).

The convenience method Jimp.create also exists. It is just a wrapper around

Custom Constructor

You might want to initialize jimp in so custom way. To do this Jimp exposes the static function appendConstructorOption. The appended constructor options run after all the defaults.

To define a custom constructor provide a name for it, a function to call to determine if the arguments provided to jimp match your constructor, and a function called where you can construct the image however you want.

  'Name of Option',
  args => arg.hasSomeCustomThing,
  function(resolve, reject, args) {
    this.bitmap = customParser(args);

If you don't want to handle parsing the bitmap. For example if you want to do some sort of authentication for URL request. Jimp exposes parseBitmap so you can fall back to jimp to do the heavy lifting.

Parse bitmap takes the raw image data in a Buffer, a path (optional), and a node style callback.

Jimp.appendConstructorOption('Custom Url', options => options.url, function(
) {
  phin(options, (err, res) => {
    if (err) {
      return reject(err);
    this.parseBitmap(res.body, options.url, err => {
      if (err) {
        return reject(err);


Once the promise is fulfilled, the following methods can be called on the image:

/* Resize */
image.contain( w, h[, alignBits || mode, mode] );    // scale the image to the given width and height, some parts of the image may be letter boxed
image.cover( w, h[, alignBits || mode, mode] );      // scale the image to the given width and height, some parts of the image may be clipped
image.resize( w, h[, mode] );     // resize the image. Jimp.AUTO can be passed as one of the values.
image.scale( f[, mode] );         // scale the image by the factor f
image.scaleToFit( w, h[, mode] ); // scale the image to the largest size that fits inside the given width and height
// An optional resize mode can be passed with all resize methods.
/* Crop */
image.autocrop([tolerance, frames]); // automatically crop same-color borders from image (if any), frames must be a Boolean
image.autocrop(options);          // automatically crop same-color borders from image (if any), options may contain tolerance, cropOnlyFrames, cropSymmetric, leaveBorder
image.crop( x, y, w, h );         // crop to the given region
/* Composing */
image.blit( src, x, y, [srcx, srcy, srcw, srch] );
                                  // blit the image with another Jimp image at x, y, optionally cropped.
image.composite( src, x, y, [{ mode, opacitySource, opacityDest }] );     // composites another Jimp image over this image at x, y
image.mask( src, x, y );          // masks the image with another Jimp image at x, y using average pixel value
image.convolute( kernel );        // applies a convolution kernel matrix to the image or a region
/* Flip and rotate */
image.flip( horz, vert );         // flip the image horizontally or vertically
image.mirror( horz, vert );       // an alias for flip
image.rotate( deg[, mode] );      // rotate the image clockwise by a number of degrees. Optionally, a resize mode can be passed. If `false` is passed as the second parameter, the image width and height will not be resized.
/* Colour */
image.brightness( val );          // adjust the brighness by a value -1 to +1
image.contrast( val );            // adjust the contrast by a value -1 to +1
image.dither565();                // ordered dithering of the image and reduce color space to 16-bits (RGB565)
image.greyscale();                // remove colour from the image
image.invert();                   // invert the image colours
image.normalize();                // normalize the channels in an image
/* Alpha channel */
image.hasAlpha();                     // determines if an image contains opaque pixels
image.fade( f );                  // an alternative to opacity, fades the image by a factor 0 - 1. 0 will haven no effect. 1 will turn the image
image.opacity( f );               // multiply the alpha channel by each pixel by the factor f, 0 - 1
image.opaque();                   // set the alpha channel on every pixel to fully opaque
image.background( hex );          // set the default new pixel colour (e.g. 0xFFFFFFFF or 0x00000000) for by some operations (e.g. image.contain and
/* Blurs */
image.gaussian( r );              // Gaussian blur the image by r pixels (VERY slow)
image.blur( r );                  // fast blur the image by r pixels
/* Effects */
image.posterize( n );             // apply a posterization effect with n level
image.sepia();                    // apply a sepia wash to the image
image.pixelate( size[, x, y, w, h ]);  // apply a pixelation effect to the image or a region
/* 3D */
image.displace( map, offset );    // displaces the image pixels based on the provided displacement map. Useful for making stereoscopic 3D images.

Some of these methods are irreversible, so it can be useful to perform them on a clone of the original image:

image.clone(); // returns a clone of the image

(Contributions of more methods are welcome!)

Resize modes

The default resizing algorithm uses a bilinear method as follows:

image.resize(250, 250); // resize the image to 250 x 250
image.resize(Jimp.AUTO, 250); // resize the height to 250 and scale the width accordingly
image.resize(250, Jimp.AUTO); // resize the width to 250 and scale the height accordingly

Optionally, the following constants can be passed to choose a particular resizing algorithm:


For example:

image.resize(250, 250, Jimp.RESIZE_BEZIER);

Align modes

The following constants can be passed to the image.cover, image.contain and image.print methods:


For example:

image.contain(250, 250, Jimp.HORIZONTAL_ALIGN_LEFT | Jimp.VERTICAL_ALIGN_TOP);

Default align modes for image.cover and image.contain are:


Default align modes for image.print are:

    alignmentX: Jimp.HORIZONTAL_ALIGN_LEFT,
    alignmentY: Jimp.VERTICAL_ALIGN_TOP

Compositing and blend modes

The following modes can be used for compositing two images together. mode defaults to Jimp.BLEND_SOURCE_OVER.

image.composite(srcImage, 100, 0, {
  mode: Jimp.BLEND_MULTIPLY,
  opacitySource: 0.5,
  opacityDest: 0.9

Writing text

Jimp supports basic typography using BMFont format (.fnt) even ones in different languages! Just find a bitmap font that is suitable bitmap fonts:

Jimp.loadFont(pathOrURL).then(font => {
  // load font from .fnt file
  image.print(font, x, y, message); // print a message on an image. message can be a any type
  image.print(font, x, y, message, maxWidth); // print a message on an image with text wrapped at maxWidth

Alignment modes are supported by replacing the str argument with an object containing text, alignmentX and alignmentY. alignmentX defaults to Jimp.HORIZONTAL_ALIGN_LEFT and alignmentY defaults to Jimp.VERTICAL_ALIGN_TOP.

Jimp.loadFont(pathOrURL).then(font => {
      text: 'Hello world!',
      alignmentX: Jimp.HORIZONTAL_ALIGN_CENTER,
      alignmentY: Jimp.VERTICAL_ALIGN_MIDDLE
  ); // prints 'Hello world!' on an image, middle and center-aligned
Jimp.loadFont(path, cb); // using a callback pattern

BMFont fonts are raster based and fixed in size and colour. Jimp comes with a set of fonts that can be used on images:

Jimp.FONT_SANS_8_BLACK; // Open Sans, 8px, black
Jimp.FONT_SANS_10_BLACK; // Open Sans, 10px, black
Jimp.FONT_SANS_12_BLACK; // Open Sans, 12px, black
Jimp.FONT_SANS_14_BLACK; // Open Sans, 14px, black
Jimp.FONT_SANS_16_BLACK; // Open Sans, 16px, black
Jimp.FONT_SANS_32_BLACK; // Open Sans, 32px, black
Jimp.FONT_SANS_64_BLACK; // Open Sans, 64px, black
Jimp.FONT_SANS_128_BLACK; // Open Sans, 128px, black
Jimp.FONT_SANS_8_WHITE; // Open Sans, 8px, white
Jimp.FONT_SANS_16_WHITE; // Open Sans, 16px, white
Jimp.FONT_SANS_32_WHITE; // Open Sans, 32px, white
Jimp.FONT_SANS_64_WHITE; // Open Sans, 64px, white
Jimp.FONT_SANS_128_WHITE; // Open Sans, 128px, white

These can be used as follows:

Jimp.loadFont(Jimp.FONT_SANS_32_BLACK).then(font => {
  image.print(font, 10, 10, 'Hello world!');

Measuring text

If you need to do calculations on where to place your text jimp provides two methods that measure how wide and how tall a piece of text will be. You can use these methods to lay out multiple pieces of text in relation to each other

Jimp.measureText(Jimp.FONT_SANS_32_BLACK, 'Some string'); // width of text
Jimp.measureTextHeight(Jimp.FONT_SANS_32_BLACK, 'Some string', 100); // height of text

Staggering Text

If you need to stagger text position along the x or y-axis the print method also returns the final coordinates as an argument to the callback.

Jimp.loadFont(Jimp.FONT_SANS_32_BLACK).then(font => {
    'Hello world that wraps!',
    (err, image, { x, y }) => {
      image.print(font, x, y + 20, 'More text on another line', 50);

Online tools are also available to convert TTF fonts to BMFont format. They can be used to create color font or sprite packs.

⭐️ Littera

⭐️ Hiero

Writing to files and buffers

Writing to files

The image can be written to disk in PNG, JPEG or BMP format (based on the save path extension or if no extension is provided the original image's MIME type which, if not available, defaults to PNG) using:

image.write(path, cb); // Node-style callback will be fired when write is successful
image.writeAsync(path); // Returns Promise

The original extension for an image (or "png") can accessed as using image.getExtension(). The following will save an image using its original format:

var file = 'new_name.' + image.getExtension();
var file = 'new_name'; // with no extension

Writing to Buffers

A PNG, JPEG or BMP binary Buffer of an image (e.g. for storage in a database) can be generated using:

image.getBuffer(mime, cb); // Node-style callback will be fired with result
image.getBufferAsync(mime); // Returns Promise

For convenience, supported MIME types are available as static properties:

Jimp.MIME_PNG; // "image/png"
Jimp.MIME_JPEG; // "image/jpeg"
Jimp.MIME_BMP; // "image/bmp"

If Jimp.AUTO is passed as the MIME type then the original MIME type for the image (or "image/png") will be used. Alternatively, image.getMIME() will return the original MIME type of the image (or "image/png").

Data URI

A Base64 data URI can be generated in the same way as a Buffer, using:

image.getBase64(mime, cb); // Node-style callback will be fired with result
image.getBase64Async(mime); // Returns Promise

PNG and JPEG quality

The quality of JPEGs can be set with:

image.quality(n); // set the quality of saved JPEG, 0 - 100

The format of PNGs can be set with:

image.rgba(bool); // set whether PNGs are saved as RGBA (true, default) or RGB (false)
image.filterType(number); // set the filter type for the saved PNG
image.deflateLevel(number); // set the deflate level for the saved PNG
Jimp.deflateStrategy(number); // set the deflate for the saved PNG (0-3)

For convenience, supported filter types are available as static properties:

Jimp.PNG_FILTER_SUB; //  1
Jimp.PNG_FILTER_UP; //  2

Advanced usage

Colour manipulation

Jimp supports advanced colour manipulation using a single method as follows:

  { apply: 'hue', params: [-90] },
  { apply: 'lighten', params: [50] },
  { apply: 'xor', params: ['#06D'] }

The method supports the following modifiers:

Modifier Description
lighten {amount} Lighten the color a given amount, from 0 to 100. Providing 100 will always return white (works through TinyColor)
brighten {amount} Brighten the color a given amount, from 0 to 100 (works through TinyColor)
darken {amount} Darken the color a given amount, from 0 to 100. Providing 100 will always return black (works through TinyColor)
desaturate {amount} Desaturate the color a given amount, from 0 to 100. Providing 100 will is the same as calling greyscale (works through TinyColor)
saturate {amount} Saturate the color a given amount, from 0 to 100 (works through TinyColor)
greyscale {amount} Completely desaturates a color into greyscale (works through TinyColor)
spin {degree} Spin the hue a given amount, from -360 to 360. Calling with 0, 360, or -360 will do nothing - since it sets the hue back to what it was before. (works through TinyColor)
hue {degree} Alias for spin
mix {color, amount} Mixes colors by their RGB component values. Amount is opacity of overlaying color
tint {amount} Same as applying mix with white color
shade {amount} Same as applying mix with black color
xor {color} Treats the two colors as bitfields and applies an XOR operation to the red, green, and blue components
red {amount} Modify Red component by a given amount
green {amount} Modify Green component by a given amount
blue {amount} Modify Blue component by a given amount

Convolution matrix

Sum neighbor pixels weighted by the kernel matrix. You can find a nice explanation with examples at GIMP's Convolution Matrix plugin

Implement emboss effect:

image.convolute([[-2, -1, 0], [-1, 1, 1], [0, 1, 2]]);

Low-level manipulation

Jimp enables low-level manipulation of images in memory through the bitmap property of each Jimp object:; // a Buffer of the raw bitmap data
image.bitmap.width; // the width of the image
image.bitmap.height; // the height of the image

This data can be manipulated directly, but remember: garbage in, garbage out.

A helper method is available to scan a region of the bitmap:

image.scan(x, y, w, h, f); // scan a given region of the bitmap and call the function f on every pixel

Example usage:

image.scan(0, 0, image.bitmap.width, image.bitmap.height, function(x, y, idx) {
  // x, y is the position of this pixel on the image
  // idx is the position start position of this rgba tuple in the bitmap Buffer
  // this is the image
  var red =[idx + 0];
  var green =[idx + 1];
  var blue =[idx + 2];
  var alpha =[idx + 3];
  // rgba values run from 0 - 255
  // e.g.[idx] = 0; // removes red from this pixel

If you need to do something with the image at the end of the scan:

image.scan(0, 0, image.bitmap.width, image.bitmap.height, function(x, y, idx) {
  // do your stuff..
  if (== image.bitmap.width - 1 && y == image.bitmap.height - 1) {
    // image scan finished, do your stuff

A helper to locate a particular pixel within the raw bitmap buffer:

image.getPixelIndex(x, y); // returns the index within

One of the following may be optionally passed as a third parameter to indicate a strategy for x, y positions that are outside of boundaries of the image:

Jimp.EDGE_WRAP = 2;
Jimp.EDGE_CROP = 3;

Alternatively, you can manipulate individual pixels using the following these functions:

image.getPixelColor(x, y); // returns the colour of that pixel e.g. 0xFFFFFFFF
image.setPixelColor(hex, x, y); // sets the colour of that pixel

Two static helper functions exist to convert RGBA values into single integer (hex) values:

Jimp.rgbaToInt(r, g, b, a); // e.g. converts 255, 255, 255, 255 to 0xFFFFFFFF
Jimp.intToRGBA(hex); // e.g. converts 0xFFFFFFFF to {r: 255, g: 255, b: 255, a:255}

You can convert a css color (Hex, RGB, RGBA, HSL, HSLA, HSV, HSVA, Named) to its hexadecimal equivalent:

Jimp.cssColorToHex(cssColor); // e.g. converts #FF00FF to 0xFF00FFFF

Creating new images

If you want to begin with an empty Jimp image, you can call the Jimp constructor passing the width and height of the image to create and a Node-style callback:

new Jimp(256, 256, (err, image) => {
  // this image is 256 x 256, every pixel is set to 0x00000000

You can optionally set the pixel colour as follows:

new Jimp(256, 256, 0xff0000ff, (err, image) => {
  // this image is 256 x 256, every pixel is set to 0xFF0000FF

Or you can use a css color format:

new Jimp(256, 256, '#FF00FF', (err, image) => {
  // this image is 256 x 256, every pixel is set to #FF00FF

You can also initialize a new Jimp image with a raw image buffer:

new Jimp({ data: buffer, width: 1280, height: 768 }, (err, image) => {
  // this image is 1280 x 768, pixels are loaded from the given buffer.

This can be useful for interoperating with other image processing libraries. buffer is expected to be four-channel (rgba) image data.

Comparing images

To generate a perceptual hash of a Jimp image, based on the pHash algorithm, use:

image.hash(); // aHgG4GgoFjA

By default the hash is returned as base 64. The hash can be returned at another base by passing a number from 2 to 64 to the method:

image.hash(2); // 1010101011010000101010000100101010010000011001001001010011100100

There are 18,446,744,073,709,551,615 unique hashes. The hamming distance between the binary representation of these hashes can be used to find similar-looking images.

To calculate the hamming distance between two Jimp images based on their perceptual hash use:

Jimp.distance(image1, image2); // returns a number 0-1, where 0 means the two images are perceived to be identical

Jimp also allows the diffing of two Jimp images using PixelMatch as follows:

var diff = Jimp.diff(image1, image2, threshold); // threshold ranges 0-1 (default: 0.1)
diff.image; // a Jimp image showing differences
diff.percent; // the proportion of different pixels (0-1), where 0 means the images are pixel identical

Using a mix of hamming distance and pixel diffing to compare images, the following code has a 99% success rate of detecting the same image from a random sample (with 1% false positives). The test this figure is drawn from attempts to match each image from a sample of 120 PNGs against 120 corresponding JPEGs saved at a quality setting of 60.

var distance = Jimp.distance(png, jpeg); // perceived distance
var diff = Jimp.diff(png, jpeg); // pixel difference
if (distance < 0.15 || diff.percent < 0.15) {
  // images match
} else {
  // not a match

You can also calculate the raw pHash (no padding or custom base). You can then use this in distanceFromHash to calculate the hash distance from a loaded image.

const hash1 = image1.pHash();
const hash2 = image2.pHash();
Jimp.compareHashes(hash1, hash2); // same result as above

Chaining or callbacks

Most instance methods can be chained together, for example as follows:'lenna.png').then(image => {

Alternatively, methods can be passed Node-style callbacks:'lenna.png').then(image => {
  image.greyscale((err, image) => {
    image.scale(0.5, (err, image) => {

The Node-style callback pattern allows Jimp to be used with frameworks that expect or build on the Node-style callback pattern.


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