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A tiny alternative to cloudinary-npm for client side media transformations









npm version Maintainability Test Coverage

Cloudinary is a cloud service that offers a solution to a web application's entire image management pipeline. For client-side image management Cloudinary provides the cloudinary-core library for conveniently compiling transform options to asset URLs. The problem is that it's a massive library often used to simply convert an object of properties to a string.

Reviewing the Webpack bundle analyzer plugin output shows that if the cloudinary-core library is unwittingly included with the default import cloudinary from 'cloudinary-core'it includes a bundled copy of lodash as well for a combined parsed size of 114 KB and 38 KB gzipped. The proposed solution is to import cloudinary-core/cloudinary-core-shrinkwrapwhich does not bundle the entire lodash library, but it is still 62 KB and 20 KB gzipped.

@gilbarbara/cloudinary provides the same commonly used media transformation features at a fraction of the size and without any dependencies: only 3.62 KB and 1.5 KB gzipped. That is a 92.5% reduction in size from the shrink-wrapped version.



npm install @gilbarbara/cloudinary

Basic configuration

The default import is a factory function taking configuration options of which the only required parameter is the cloudName.

import cloudinary from '@gilbarbara/cloudinary';

const cl = cloudinary({ cloudName: 'demo' });

const imageUrl = cl('sample.png', { width: 150 });

All image transforms documented in the Image transformation reference are supported except for the last three: arithmetic operators, conditionals and variables.

Most video transforms documented in the video_manipulation_and_delivery are supported except for the concatenation and video overlays

Advanced configuration

The factory function supports these configuration options and defaults:

const cl = cloudinary({
  cloudName: '...', // Required account cloudName
  secure = true,
  cname = '',
  cdnSubdomain = false,
  defaults: {
    resourceType: 'image',
    type: 'fetch',

The secure option specifies generating https URLs instead of http; this is on by default since most sites use https these days; disable globally by passing false here, or case by case by passing secure: false on the transform options.

Use the cname option to specify a different CNAME for use with an advanced plan with a private CDN distribution and custom CNAME.

cdnSubdomain specifies whether to automatically build URLs with multiple CDN sub-domains. See this blog post for more details. The caveat is that public IDs must consistently be hashed to random numbers between 1 and 5 to assign different sub-domains. cloudinary-core uses this
CRC32 implementation which is 7KB all on its own. For this reason it is not included in this library and if you wish to enable this feature instead of passing true to cdnSubdomain you pass your own CRC-type function (string) => number. The modulus 5 of the output will be used to assign a subdomain.

Specifying default transform options

The defaults property provides a convenient way to include certain transform options in all image transforms. For example, specifying auto fetch format, quality and width for all images can be achieved by passing:

const cl = cloudinary({
  cloudName: 'demo',
  defaults: {
    fetchFormat: 'auto',
    quality: 'auto',
    width: 'auto',

const imageUrl = cl('sample.png', { aspectRatio: '16:9' });

Override any default value by passing a replacement value or removed it from the URL by passing null:

const cl = cloudinary({
  cloudName: 'demo',
  defaults: {
    fetchFormat: 'auto',
    quality: 'auto',
    width: 'auto',

const imageUrl = cl('sample.png', { aspectRatio: '16:9', width: 150, quality: null });

If primarily raw resource URLs will be generated or if most images would be, for example, fetched from Facebook the default resourceType and type property defaults can also be overridden for convenience:

const clRaw = cloudinary({cloudName: 'demo', defaults: {resourceType: 'raw'})
const clFb = cloudinary({cloudName: 'demo', defaults: {type: 'facebook'})

Image transformations

To create a resource URL call the function returned by the factory function with a public ID and optional transform options:

const basicUrl = cl('sample.png');

const resizedUrl = cl('sample.png', { width: 150, height: 100 });

Other options that can be provided alongside transform options are:

const url = cl('', {
  resourceType: 'raw', // Supported resource types are 'raw', 'image' (default) and 'video' (coming soon)
  type: 'fetch', // Set the `type` portion of the URL
  secure: false, // Override the configured `secure` option on this particular URL
  version: 742, // Provide a version number to use other than the default 1

To perform multiple transformations an array of transform objects can be passed; the array can be passed directly as the second parameter or on the transform property if other options are to be provided.

This will generate the URL of the first example in the Image transformation reference:

const url = cl('yellow_tulip.jpg', [
  { width: 220, height: 140, crop: 'fill' },
  { overlay: 'brown_sheep', width: 220, height: 140, x: 220, crop: 'fill' },
  { overlay: 'horses', width: 220, height: 140, x: -110, y: 140, crop: 'fill' },
  { overlay: 'white_chicken', width: 220, height: 140, x: 110, y: 70, crop: 'fill' },
  { overlay: 'butterfly.png', height: 200, x: -10, angle: 10 },
  { width: 400, height: 260, radius: 20, crop: 'crop' },
  { overlay: 'text:Parisienne_35_bold:Memories%20from%20our%20trip', color: '#990C47', y: 155 },
  { effect: 'shadow' },

// Or with other options
const url = cl('yellow_tulip.jpg', {
  secure: false,
  transform: [
    /* Same options as above here */

Transformation parameter validation

The library attempts to be helpful in catching invalid parameter values by providing insightful errors, for example:

cl('sample.jpg', { radius: 'round' });
// Throws:
// Cloudinary Image :: radius should be a number, 'max' or have the form x[:y[:z[:u]]], received: 'round'

The exception is the effect transform which already has numerous options with more added regularly.


The most important configuration and image transformation features of Cloudinary should be supported, but if anything is missing please point it out with an issue or contribute the feature.

PRs are welcome.


Free to use under the MIT license.


This is a fork from Marnus Weststrate's cloudinary-tiny-js package. Thanks! ❤️