I am looking for a way to resize an image client-side with JavaScript (really resize, not just change width and height).
I know it's possible to do it in Flash but I would like to avoid it if possible.
Is there any open source algorithm somewhere on the web?
Here's a gist which does this:
https://gist.github.com/dcollien/312bce1270a5f511bf4a
(an es6 version, and a .js version which can be included in a script tag)
You can use it as follows:
<input type="file" id="select">
<img id="preview">
<script>
document.getElementById('select').onchange = function(evt) {
ImageTools.resize(this.files[0], {
width: 320, // maximum width
height: 240 // maximum height
}, function(blob, didItResize) {
// didItResize will be true if it managed to resize it, otherwise false (and will return the original file as 'blob')
document.getElementById('preview').src = window.URL.createObjectURL(blob);
// you can also now upload this blob using an XHR.
});
};
</script>
It includes a bunch of support detection and polyfills to make sure it works on as many browsers as I could manage.
(it also ignores gif images - in case they're animated)
The answer to this is yes - in HTML 5 you can resize images client-side using the canvas element. You can also take the new data and send it to a server. See this tutorial:
http://hacks.mozilla.org/2011/01/how-to-develop-a-html5-image-uploader/
If you were resizing before uploading I just found out this http://www.plupload.com/
It does all the magic for you in any imaginable method.
Unfortunately HTML5 resize only is supported with Mozilla browser, but you can redirect other browsers to Flash and Silverlight.
I just tried it and it worked with my android!
I was using http://swfupload.org/ in flash, it does the job very well, but the resize size is very small. (cannot remember the limit) and does not go back to html4 when flash is not available.
http://nodeca.github.io/pica/demo/
In modern browser you can use canvas to load/save image data. But you should keep in mind several things if you resize image on the client:
You will have only 8bits per channel (jpeg can have better dynamic range, about 12 bits). If you don't upload professional photos, that should not be a problem.
Be careful about resize algorithm. The most of client side resizers use trivial math, and result is worse than it could be.
You may need to sharpen downscaled image.
If you wish do reuse metadata (exif and other) from original - don't forget to strip color profile info. Because it's applied when you load image to canvas.
Perhaps with the canvas tag (though it's not portable). There's a blog about how to rotate an image with canvas here, I suppose if you can rotate it, you can resize it. Maybe it can be a starting point.
See this library also.
You can use a javascript image processing framework for client-side image processing before uploading the image to the server.
Below I used MarvinJ to create a runnable code based on the example in the following page:
"Processing images in client-side before uploading it to a server"
Basically I use the method Marvin.scale(...) to resize the image. Then, I upload the image as a blob (using the method image.toBlob()). The server answers back providing a URL of the received image.
/***********************************************
* GLOBAL VARS
**********************************************/
var image = new MarvinImage();
/***********************************************
* FILE CHOOSER AND UPLOAD
**********************************************/
$('#fileUpload').change(function (event) {
form = new FormData();
form.append('name', event.target.files[0].name);
reader = new FileReader();
reader.readAsDataURL(event.target.files[0]);
reader.onload = function(){
image.load(reader.result, imageLoaded);
};
});
function resizeAndSendToServer(){
$("#divServerResponse").html("uploading...");
$.ajax({
method: 'POST',
url: 'https://www.marvinj.org/backoffice/imageUpload.php',
data: form,
enctype: 'multipart/form-data',
contentType: false,
processData: false,
success: function (resp) {
$("#divServerResponse").html("SERVER RESPONSE (NEW IMAGE):<br/><img src='"+resp+"' style='max-width:400px'></img>");
},
error: function (data) {
console.log("error:"+error);
console.log(data);
},
});
};
/***********************************************
* IMAGE MANIPULATION
**********************************************/
function imageLoaded(){
Marvin.scale(image.clone(), image, 120);
form.append("blob", image.toBlob());
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://www.marvinj.org/releases/marvinj-0.8.js"></script>
<form id="form" action='/backoffice/imageUpload.php' style='margin:auto;' method='post' enctype='multipart/form-data'>
<input type='file' id='fileUpload' class='upload' name='userfile'/>
</form><br/>
<button type="button" onclick="resizeAndSendToServer()">Resize and Send to Server</button><br/><br/>
<div id="divServerResponse">
</div>
In my experience, this example has been the best solution for uploading a resized picture: https://zocada.com/compress-resize-images-javascript-browser/
It uses the HTML5 Canvas feature.
The code is as 'simple' as this:
compress(e) {
const fileName = e.target.files[0].name;
const reader = new FileReader();
reader.readAsDataURL(e.target.files[0]);
reader.onload = event => {
const img = new Image();
img.src = event.target.result;
img.onload = () => {
const elem = document.createElement('canvas');
const width = Math.min(800, img.width);
const scaleFactor = width / img.width;
elem.width = width;
elem.height = img.height * scaleFactor;
const ctx = elem.getContext('2d');
// img.width and img.height will contain the original dimensions
ctx.drawImage(img, 0, 0, width, img.height * scaleFactor);
ctx.canvas.toBlob((blob) => {
const file = new File([blob], fileName, {
type: 'image/jpeg',
lastModified: Date.now()
});
}, 'image/jpeg', 1);
},
reader.onerror = error => console.log(error);
};
}
There are two downsides with this solution.
The first one is related with the image rotation, due to ignoring EXIF data. I couldn't tackle this issue, and wasn't so important in my use case, but will be glad to hear any feedback.
The second downside is the lack of support foe IE/Edge (not the Chrome based version though), and I won't put any time on that.
Yes, with modern browsers this is totally doable. Even doable to the point of uploading the file specifically as a binary file having done any number of canvas alterations.
http://jsfiddle.net/bo40drmv/
(this answer is a improvement of the accepted answer here)
Keeping in mind to catch process the result submission in the PHP with something akin to:
//File destination
$destination = "/folder/cropped_image.png";
//Get uploaded image file it's temporary name
$image_tmp_name = $_FILES["cropped_image"]["tmp_name"][0];
//Move temporary file to final destination
move_uploaded_file($image_tmp_name, $destination);
If one worries about Vitaly's point, you can try some of the cropping and resizing on the working jfiddle.
Related
I am currently using webcam (not native camera) on a web page to take a photo on users' mobile phone. Like this:
var video: HTMLVideoElement;
...
var context = canvas.getContext('2d');
context.drawImage(video, 0, 0, width, height);
var jpegData = canvas.toDataURL('image/jpeg', compression);
In such a way, I can now successfully generate a JPEG image data from web camera, and display it on the web page.
However, I found that the EXIF data is missing.
according to this:
Canvas.drawImage() will ignore all EXIF metadata in images,
including the Orientation. This behavior is especially troublesome
on iOS devices. You should detect the Orientation yourself and use
rotate() to make it right.
I would love the JPEG image contain the EXIF GPS data. Is there a simple way to include camera EXIF data during the process?
Thanks!
Tested on Pixel 3 - it works. Please note - sometimes it does not work with some desktop web-cameras. you will need exif-js to get the EXIF object from example.
const stream = await navigator.mediaDevices.getUserMedia({ video : true });
const track = stream.getVideoTracks()[0];
let imageCapture = new ImageCapture(track);
imageCapture.takePhoto().then((blob) => {
const newFile = new File([blob], "MyJPEG.jpg", { type: "image/jpeg" });
EXIF.getData(newFile, function () {
const make = EXIF.getAllTags(newFile);
console.log("All data", make);
});
});
unfortunately there's no way to extract exif from canvas.
Although, if you have access to jpeg, you can extract exif from that. For that I'd recommend exifr instead of widely popular exif-js because exif-js has been unmaintained for two years and still has breaking bugs in it (n is undefined).
With exifr you can either parse everything
exifr.parse('./myimage.jpg').then(output => {
console.log('Camera:', output.Make, output.Model))
})
or just a few tags
let output = await exifr.parse(file, ['ISO', 'Orientation', 'LensModel'])
First of, according to what I found so far, there is no way to include exif data during canvas context drawing.
Second, there is a way to work around, which is to extract the exif data from the original JPEG file, then after canvas context drawing, put the extracted exif data back into the newly drawn JPEG file.
It's messy and a little hacky, but for now this is the work around.
Thanks!
I'm trying to base64 encode a local file. It's next to my .js file so there's no uploading going on. Solutions like this (using XMLHttpRequest) get a cross-site scripting error.
I'm trying something like this (which doesn't work but it might help explain my problem):
var file = 'file.jpg'
var reader = new FileReader();
reader.onload = function(e) {
var res = e.target.result;
console.log(res);
};
var f = reader.readAsDataURL(file);
Anyone have any experience doing this locally?
Solutions like this (using XMLHttpRequest) get a cross-site
scripting error.
If using chrome or chromium browser, you could launch with --allow-file-access-from-files flag set to allow request of resource from local filesystem using XMLHttpRequest() or canvas.toDataURL().
You can use <img> element, <canvas> element .toDataURL() to create data URL of local image file without using XMLHttpRequest()
var file = "file.jpg";
var img = new Image;
var canvas = document.createElement("canvas");
var ctx = canvas.getContext("2d");
img.onload = function() {
canvas.width = this.naturalWidth;
canvas.height = this.naturalHeight;
ctx.drawImage(this, 0, 0);
var res = canvas.toDataURL("image/jpeg", 1); // set image `type` to `image/jpeg`
console.log(res);
}
img.src = file;
You could alternatively use XMLHttpRequest() as described at Convert local image to base64 string in Javascript.
See also How to print all the txt files inside a folder using java script .
For a details of difference of returned data URI from either approach see canvas2d toDataURL() different output on different browser
As described by #Kaiido at comment below
it will first decode it, at this stage it's still your file, then it
will paint it to the canvas (now it's just raw pixels) and finally it
will reencode it (it has nothing to do with your original file
anymore) check the dataURI strings... They're compeltely different and
even if you do the canvas operation from two different browsers,
you'll have different outputs, while FileReader will always give you
the same output, since it encode the file directly, it doesn't decode
it.
I have the same image and the same size of canvas, but the output is different. I want the same output, how should I do it?
var canvas = document.createElement('canvas'),
ctx = canvas.getContext('2d'),
img = new Image;
img.crossOrigin = 'Anonymous';
img.onload = function(){
canvas.height = img.height;
canvas.width = img.width;
ctx.drawImage(img, 0, 0);
var dataURL = canvas.toDataURL();
setBreakpoint(dataURL);
callback.call(this, dataURL);
canvas = null;
};
img.src = url;
Images drawn onto a canvas are decoded before being drawn, then reencoded when the toDataURL method is called.
This process will produce some variations in every browser (e.g some will be able to decode color-profiles embedded in the image while others won't), and even every machine (look at canvas fingerprinting and this post by #Oriol which concern images with transparency). Add to that that every browser will use different encoders/settings for a different tradeoff between speed, size and quality and you arrive at a situation where you can't expect two users to produce the same result from the same input image.
But since all you do with that canvas is to draw an image, you should rather use a FileReader and its method readAsDataURL(). For external files, you can still use it by first fetching the resource as a Blob.
This will work directly on the binary data of the file, encoding each byte to its base64 representation, and thus you will be sure to have the same result in every browser.
Here is a snippet which will test your browser's conversion against mine's.
fetch("https://dl.dropboxusercontent.com/s/4e90e48s5vtmfbd/aaa.png")
.then((resp) => resp.ok && resp.blob())
.then((blob) => {
const reader = new FileReader();
reader.onload = (evt) => {
if (reader.result === imageDataURL) {
console.log("same result");
}
else {
console.log("please post a comment stating which browser has such a bug");
}
};
reader.readAsDataURL(blob);
});
var imageDataURL = "data:image/png;base64,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However for the ones using the canvas for real drawing, as we said above, you can't really have the same results between different UAs. Every method from drawing ones to export ones may produce different results and you would have to actually rewrite all these methods entirely in order to have the exact same results.
For the ones that really need this, a project like node-canvas could help, though it would obviously be a lot less performant than native implementations.
Well, I need some help about convert .svg file/image to .png file/image...
I have a .svg image displayed on my page. It is saved on my server (as a .png file). I need to convert it to a .png file on demand (on click on a button) and save the .png file on the server (I will do this with an .ajax request).
But the problem is the conversion.
I read many things about the html5 Canvas, which can probably help doing what I need to do now, but I can't find any clear solution to my problem, and, tbh, I do not understand everything I found... So I need some clear advices/help about the way I have to do it.
Here is the "html idea" template :
<html>
<body>
<svg id="mySvg" width="300px" height="300px">
<!-- my svg data -->
</svg>
<label id="button">Click to convert</label>
<canvas id="myCanvas"></canvas>
</body>
</html>
and some js :
<script>
$("body").on("click","#button",function(){
var svgText = $("#myViewer").outerHTML;
var myCanvas = document.getElementById("canvas");
var ctxt = myCanvas.getContext("2d");
});
</script>
Then, I need to draw the svg into the Canvas, get back the base64 data, and save it in a .png file on my server... but... how? I read about so many different solutions that I'm actually... lost... I'm working on a jsfiddle, but I'm actually... nowhere... http://jsfiddle.net/xfh7nctk/6/ ... Thanks for reading / help
For inline SVG you'll need to:
Convert the SVG string to a Blob
Get an URL for the Blob
Create an image element and set the URL as src
When loaded (onload) you can draw the SVG as an image on canvas
Use toDataURL() to get the PNG file from canvas.
For example:
function drawInlineSVG(ctx, rawSVG, callback) {
var svg = new Blob([rawSVG], {type:"image/svg+xml;charset=utf-8"}),
domURL = self.URL || self.webkitURL || self,
url = domURL.createObjectURL(svg),
img = new Image;
img.onload = function () {
ctx.drawImage(this, 0, 0);
domURL.revokeObjectURL(url);
callback(this);
};
img.src = url;
}
// usage:
drawInlineSVG(ctxt, svgText, function() {
console.log(canvas.toDataURL()); // -> PNG data-uri
});
Of course, console.log here is just for example. Store/transfer the string instead here. (I would also recommend adding an onerror handler inside the method).
Also remember to set canvas size using either the width and height attributes, or from JavaScript using properties.
I come long after since some other question raised from this one because the accepted answer may produce undesirable behavior.
#K3N solution is almost right, but I would go against the use of svgElement.outerHTML.
Instead, one should prefer new XMLSerializer().serializeToString(svgElement).
Also, the use of blob and of the URL API is not necessary and a simple dataURI has more compatibility accross browsers.
So a complete version of this would be :
function drawInlineSVG(svgElement, ctx, callback) {
var svgURL = new XMLSerializer().serializeToString(svgElement);
var img = new Image();
img.onload = function() {
ctx.drawImage(this, 0, 0);
callback();
}
img.src = 'data:image/svg+xml; charset=utf8, ' + encodeURIComponent(svgURL);
}
// usage:
drawInlineSVG(document.querySelector('svg'), ctxt, function() {
console.log(canvas.toDataURL())
});
I'm using fabric.js for my canvas application, toDataURL method works properly except when there is a image on canvas. When i add an image to canvas and call toDataURL it shows me a blank page.
//When i call it from chrome console
canvas.toDataURL();
//It returns a working data url with no problem.
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPAAAAGkCAYAAAAPPajHAAAgAElEQ…fpmwgogX1TrjoqP0FACewngtZh+iYCSmDflKuOyk8Q+H+CKCqUW0spTgAAAABJRU5ErkJggg=="
//When i execute same code in a .js file it returns a data url which shows a blank image.
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPAAAAGkCAYAAAAPPajHAAAKC0lEQ…sBAmEBAw6XJzoBA/YDBMICBhwuT3QCBuwHCIQFDDhcnugEHt/IAaW9dzALAAAAAElFTkSuQmCC"
It's interesting that it's working on chrome dev console but not works in .js file even if it's same code. I noticed that working data url finishes with '==' but other one not. However i don't know what this means.
You didn't give much to analyze but I'll go from there on my gut feeling.
The image you are using is probably violating Cross-Origin Resource Sharing (CORS) requirements. When this happens the canvas will return a blank image when you try to get the pixel data either by using canvas.toDataURL() or context.getImageData().
It basically happens when the image is not located on the same domain as the page or is loaded from the file:// protocol.
You can try to add the following to the image object before setting the source:
image.crossOrigin = 'anonymous';
image.src = '...';
From tag:
<img crossOrigin='anonymous' src='...' alt='' />
This will request permission from the server to use the image cross-origin. If the server allows you should be fine.
If not you will either have to copy the image to your own server so it loads from the same domain as your page, or create a proxy page that loads the image externally and serves it to your page from the proxy page (it sounds complicated but really isn't).
If the image does not show up at all on the canvas you are probably not using load callback which you need since image loading is asynchronous. If so just add:
image.onload = function() {
/// now you can draw the image to canvas
}
image.crossOrigin = 'anonymous';
image.src = '...';
The problem is solved. The point i missed is, i was calling toDataURL function before canvas is loaded, that's why it was showing me a blank page.
canvas.loadFromJSON(json,function(){
var dataURL = canvas.toDataURL();
});
This solved my problem when i gave toDataURL() function as a callback to loadFromJSON function.
But after a while i had a different issue about CORS when i tried to upload my images from s3 bucket and i solved this problem as upward solution.
I was facing the same issues when I was trying to generate images from the canvas using Fabricsjs and generate PDF from images using JSPDF so below is my case I also spend hours on this may this can help someone to save time.
Load the canvas from JSON that i.e
canvas.loadFromJSON(json, canvas.renderAll.bind(canvas), function(obj, object) {
//fabric.log(obj, object);
});
Canvas was drawing images all fine then I was generating the images from that canvas it was a case of multiple images in a single canvas and I was generating PDF based on each page of the canvas.
Instead of this
canvas.toDataURL('image/png', 0.1)
I used this and it starts returning me the propper images dataurl
var imgData = document.getElementById('canvas_0').toDataURL();
Below are snippets
$("#pdfSelector .canvas-container").each(function(index, value){ // canvas selector
html2canvas($("#canvas_"+index), { // html2canvas used to get images
onrendered: function(canvas) { // on successfully render of images
//var imgData = canvas.toDataURL('image/png', 0.1);
var imgData = document.getElementById('canvas_0').toDataURL();
const imgProps= doc.getImageProperties(imgData);
const pdfWidth = doc.internal.pageSize.getWidth();
const pdfHeight = (imgProps.height * pdfWidth) / imgProps.width;
doc.addImage(imgData, 'PNG', 0, 0, pdfWidth, pdfHeight, 'page_'+index, 'FAST');
}
});
});