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vue-image-upload-resize
Advanced tools
A simple Vue.js component for client-side image upload with resizing
A Vue.js Plugin Component for client-side image upload with optional resizing and exif-based autorotate.
This plugin was created for the use in a webapp scenario where we had a large number of end users uploading camera photos from their mobile devices on partly low end data plans. The primary purpose is therefor client-side resizing and if needed exif-based auto-rotation. It can however also be use simply as a file upload component.
Based on [ImageUploader] (https://github.com/rossturner/HTML5-ImageUploader) by Ross Turner. The plugin makes use of an optional dependency JavaScript Canvas to Blob (for blob output).
yarn add vue-image-upload-resize
npm install --save vue-image-upload-resize
In script entry point
import ImageUploader from 'vue-image-upload-resize'
Vue.use(ImageUploader);
In component
import ImageUploader from 'vue-image-upload-resize'
export default {
components: {
ImageUploader
},
// ...
}
Currently the componenet is tied to the window object, so it can't be server side rendered.
To get around this you need to install the componenet as a client side plugin.
plugins/vue-image-upload.js, and add the following code:import Vue from 'vue'
import ImageUploader from 'vue-image-upload-resize'
Vue.use(ImageUploader)
nuxt.config.js, add the client plugin:export default {
// ... other config
plugins: [
{ src: '~/plugins/vue-image-upload.js', mode: 'client' },
]
}
<client-only> tags (<no-ssr> in v < 2.9.0, docs).<template>
<client-only>
<image-uploader
:debug="1"
></image-uploader>
</client-only>
</template>
<script src="https://unpkg.com/vue-image-upload-resize"></script>
The global script automatically registers as a global componenet. See public/demo.html for example use.
<template>
<image-uploader
:debug="1"
:maxWidth="512"
:quality="0.7"
:autoRotate=true
outputFormat="verbose"
:preview=false
:className="['fileinput', { 'fileinput--loaded' : hasImage }]"
:capture="false"
accept="video/*,image/*"
doNotResize="['gif', 'svg']"
@input="setImage"
@onUpload="startImageResize"
@onComplete="endImageResize"
></image-uploader>
</template>
An optional label tag can be added as a slot
<image-uploader ... >
<label for="fileInput" slot="upload-label">
<figure>
<svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 32 32">
<path class="path1" d="M9.5 19c0 3.59 2.91 6.5 6.5 6.5s6.5-2.91 6.5-6.5-2.91-6.5-6.5-6.5-6.5 2.91-6.5 6.5zM30 8h-7c-0.5-2-1-4-3-4h-8c-2 0-2.5 2-3 4h-7c-1.1 0-2 0.9-2 2v18c0 1.1 0.9 2 2 2h28c1.1 0 2-0.9 2-2v-18c0-1.1-0.9-2-2-2zM16 27.875c-4.902 0-8.875-3.973-8.875-8.875s3.973-8.875 8.875-8.875c4.902 0 8.875 3.973 8.875 8.875s-3.973 8.875-8.875 8.875zM30 14h-4v-2h4v2z"></path>
</svg>
</figure>
<span class="upload-caption">{{ hasImage ? 'Replace' : 'Upload' }}</span>
</label>
</image-uploader>
The ID for the file input, required if more than one instance should be used on the same page.
An integer in pixels for the maximum width allowed for uploaded images, selected images with a greater width than this value will be scaled down.
An integer in pixels for the maximum height allowed for uploaded images, selected images with a greater height than this value will be scaled down.
NB Is broken, see https://github.com/rossturner/HTML5-ImageUploader/issues/13. A float value in megapixels (MP) for the maximum overall size of the image allowed for uploaded images, selected images with a greater size than this value will be scaled down before upload. If the value is null or is not specified, then maximum size restriction is not applied
A float between 0 and 1.00 for the image quality to use in the resulting image data, around 0.9 is recommended.
Allows scaling down to a specified fraction of the original size. (Example: a value of 0.5 will reduce the size by half.) Accepts a decimal value between 0 and 1.
A boolean flag, if true then EXIF information from the image is parsed and the image is rotated correctly before upload. If false, then no processing is performed, and unwanted image flipping can happen. This functionality is based on the library [exif-js] https://github.com/exif-js/exif-js.
A boolean flag to toogle an img-tag displaying the uploaded image. When set to false no img-tag is displayed.
Sets the desired format for the returned image. Available formats are
null if not available).Sets the desired class name for the input element
Sets an optional capture attribute (camera, user, environment) to the input element (only for mobile devices). The "camera" value let's the browser decide which camera to use, while the "user" and "environment" values tell the browser to prefer the front and rear cameras, respectively. To also access the device gallery capture must be set to 'false'
Specifies the types of files that can be submitted through the file upload. The types can be valid file extension starting with the STOP character (e.g: ".gif, .jpg, .png") or wildcare file types (e.g. audio/, video/, image/*"). To specify more than one value, separate the values with a comma
Specifies filetypes that will not be resized. Accepts an array of image's extension. If only 1 extension, it can be provided directly as a string.
How much to write to the console. 0 = silent. 1 = quiet. 2 = loud
Returns the processed image in requested outputformat. From this event you can add optional hooks.
<image-uploader @input="setImage"></image-uploader>
methods: {
setImage: function (file) {
this.hasImage = true
this.image = file
}
}
On start of upload.
On end of upload.
If outformat="blob" the required libraby canvas-to-blob.min.js must be available. If the plugin is loaded with <script>-tag in global scope, so must the relevant lilbrary:
<script src="js/canvas-to-blob.min.js" async defer></script>
If loaded as module, npm handles all dependecies.
yarn install
yarn run serve
yarn run build
yarn run build-lib
yarn run test
yarn run lint
FAQs
A simple Vue.js component for client-side image upload with resizing
We found that vue-image-upload-resize demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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