Skip to Content

How to Crop Image Whitespace with JavaScript

In this tutorial, you'll learn how to crop an image with JavaScript, removing unnecessary whitespace from the image's edges programmatically.

We'll go from this image with a ton of unnecessary whitespace:

Image with whitespace

To this, effectively cropping all the whitespace around the image edges:

Image without whitespace

Advertising Disclosure: I am compensated for purchases made through affiliate links. Click here for details.

Create the canvas Element

To start, we'll just need to create a canvas element on the page with an ID of canvas:

<canvas id="canvas"></canvas>

The remainder of the code will be JavaScript, and we'll walk through everything piece by piece.

Create the Variables

First, let's create some variables that we'll use throughout the code:

var image = new Image();
var canvas = document.getElementById("canvas");
var context = canvas.getContext("2d");
var data = {};
  • image: A reference to our newly created image object.
  • canvas: A pointer to our on-page canvas element.
  • context: An object with properties that can be used to render graphics within our canvas element.
  • data: A custom object we'll use to store our image data.

Load the Image

Now, we'll load our before image into our newly created image object. We'll then update the canvas width and height to reflect the dimensions of the image after it has fulled loaded, then we'll draw the image to the canvas element. Finally, we'll call our custom cropImage() function that we'll go into shortly:

image.onload = function () {
canvas.width = this.width;
canvas.height = this.height;

context.drawImage(this, 0, 0, image.width, image.height);


image.src = "example-before.jpg";

Crop the Image

Our custom cropImage() method packs a lot of functionality, calling other methods to complete the image crop in its entirety:

function cropImage() {
data = context.getImageData(0, 0, image.width, image.height).data;

var top = scanY(true);
var bottom = scanY(false);
var left = scanX(true);
var right = scanX(false);

var new_width = right - left;
var new_height = bottom - top;

canvas.width = new_width;
canvas.height = new_height;

context.drawImage(image, left, top, new_width, new_height, 0, 0, new_width, new_height);

We're storing the image data in our custom data variable, which we'll be using in just a minute.

Then, we're going to continue through another set of functions, scanX() and scanY(), that will effectively crop the whitespace from all edges of our image.

Now, we'll store the new image width and height in two new local variables, new_width and new_height, that we'll use to reset our canvas dimensions and draw the final image to the canvas element.

Scan the Image Edges

We'll start with cropping the left and right edges of the image:

function scanX(left) {
var offset = (left) ? 1 : -1;

for (var x = ((left) ? 0 : image.width - 1); ((left) ? (x < image.width) : (x > -1)); x += offset) {
for (var y = 0; y < image.height; y++) {
if (!isColor(getRGB(x, y))) {
return x;

return null;

The left parameter of the scanX() function determines whether we're cropping the left or right side of the image. Since the functionality is very similar for both edges, it makes sense to do this versus rewriting almost the same code.

Code reuse is your friend. If there's any way you can condense or simplify your code in any way that seems reasonable or useful, you should do so to keep everything clean while still fully functional.

Next, we'll loop through the image from either the left or right edge, whichever we specify as the parameter, then move until we find a non-white pixel. The isColor() and getRGB() methods determine if the pixel is pure white or not, and return so accordingly. The loop continues until a non-white pixel is found, then the x coordinate of the image for that pixel is returned to the main function.

The method returns null if both edges of the image have been tested with no ability to crop.

Similarly, we'll do the same thing for the top and bottom edges of the image:

function scanY(top) {
var offset = (top) ? 1 : -1;

for (var y = ((top) ? 0 : image.height - 1); ((top) ? (y < image.height) : (y > -1)); y += offset) {
for (var x = 0; x < image.width; x++) {
if (!isColor(getRGB(x, y))) {
return y;

return null;

Determine Each Pixel's Color

A pixel's color value is determined by three color attributes, the presence of red, green, and blue. A value of 0 expresses a total absence of color while a value of 255 expresses the full presence of color.

The isColor() method was created to determine this programmatically, returning a boolean value of true for the full absensce of color or false for any presence of color:

function isColor(rgb) {
return == 255 && == 255 && == 255;

And we have the getRGB() method for grabbing those RGB values between 0 and 255:

function getRGB(x, y) {
return {
red: data[((image.width * y) + x) * 4],
green: data[((image.width * y) + x) * 4 + 1],
blue: data[((image.width * y) + x) * 4 + 2]


That's all there is to it! Cropping image whitespace is a fairly simple task, requiring some knowledge of JavaScript to get down and dirty with some effective functionality.

If this tutorial provides the answer you're looking for, you can download the full code example from my GitHub repository.

Posted by: Josh Rowe
Last Updated: April 03, 2023
Created: April 25, 2022



Great article, very helpfull!

There is one error in the code though. IsEmpty should not be negated ("!") in both instances. Correct expression below:

if (isEmpty(getRGB(x, y))) { return x; }


Josh Rowe

Thank you for the kind words, Gabriel. You are correct on the naming of the function, so I've renamed it to isColor() instead. The GitHub repository has also been corrected. Thanks for the catch!


Add A Comment

Comment Etiquette: Wrap code in a <code> and </code>. Please keep comments on-topic, do not post spam, keep the conversation constructive, and be nice to each other.