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cloudinary/cloudinary_ios 4.2.0
Cloudinary iOS SDK
⭐️ 160
🕓 6 weeks ago
.package(url: "https://github.com/cloudinary/cloudinary_ios.git", from: "4.2.0")

Cloudinary iOS SDK

Build Status


The Cloudinary iOS SDK allows you to quickly and easily integrate your application with Cloudinary. Effortlessly optimize and transform your cloud's assets.

Additional documentation

This Readme provides basic installation and usage information. For the complete documentation, see the iOS SDK Guide.

Table of Contents

Key Features

Version Support

SDK Version iOS 9+ iOS 8
2.0.0 - 2.10.1 V V
3.0.0 - 4.2.0 V X



CocoaPods is a dependency manager for Swift and Objective-C Cocoa projects. To install CocoaPods:

sudo gem install cocoapods

If you don't have a Podfile in your project yet, add it by running the command:

pod init

Add the Cloudinary SDK to your Podfile:

source 'https://github.com/CocoaPods/Specs.git'
platform :ios, '9.0'

target 'MyApp' do
  pod 'Cloudinary', '~> 4.0'

Then, run the command:

pod install


Create Cartfile

touch Cartfile

Open Cartfile and enter the following line

github "cloudinary/cloudinary_ios" ~> 4.0

Then, run the command:

carthage update --use-xcframeworks

A Cartfile.resolved file and a Carthage directory will appear in the same directory where your .xcodeproj or .xcworkspace is. Drag the built .xcframework bundles from Carthage/Build into the Frameworks and Libraries section of your application’s Xcode project.

Swift Package Manager

Working with the Cloudinary iOS SDK Manually

If you prefer not use a dependency manager, you can add Cloudinary manually by adding it as a submodule to your project:

Open Terminal and navigate to your project's top level directory.

If your project is not initialized as a git repository, run the command:

git init

To add cloudinary as a git submodule, run the command:

git submodule add https://github.com/cloudinary/cloudinary_ios.git

Embedded Framework

  1. Drag Cloudinary.xcodeproj into the Project Navigator of your application's Xcode project. It should appear under your application's blue project icon.
  2. Select Cloudinary.xcodeproj and make sure the deployment target matches that of your application target.
  3. Select your application project. Under 'TARGETS' select your application, open the 'General' tab, click on the + button under the 'Embedded Binaries' and Select 'Cloudinary.framework'.



To use the API, you will need a CLDCloudinary instance, which is initialized with an instance of CLDConfiguration.

The CLDConfiguration must have its cloudName and apiKey properties set. Other properties are optional.

See API, URLs and access identifiers for more details.

There are several ways to initialize CLDConfiguration. You can simply call its constructor with the desired params:

let config = CLDConfiguration(cloudName: "CLOUD_NAME", apiKey: "API_KEY")

Another way is by passing a URL of the form: cloudinary://API_KEY:API_SECRET@CLOUD_NAME

let config = CLDConfiguration(cloudinaryUrl: "cloudinary://<API_KEY>:<API_SECRET>@<CLOUD_NAME>")

You can also add the same URL as an environment parameters under CLOUDINARY_URL, then initialize CLDConfiguration using its static initializer

let config = CLDConfiguration.initWithEnvParams()

Now you can create a CLDCloudinary instance to work with

let cloudinary = CLDCloudinary(configuration: config)

Transform and Optimize Assets

The following example generates a URL on an uploaded sample image:


// http://res.cloudinary.com/CLOUD_NAME/image/upload/sample.jpg

The following example generates an image URL of an uploaded sample image while transforming it to fill a 100x150 rectangle:

let transformation = CLDTransformation().setWidth(100).setHeight(150).setCrop(.crop)

// http://res.cloudinary.com/CLOUD_NAME/image/upload/c_fill,h_150,w_100/sample.jpg

Another example, embedding a smaller version of an uploaded image while generating a 90x90 face detection based thumbnail:

let transformation = CLDTransformation().setWidth(90).setHeight(90).setCrop(.Thumb).setGravity(.Face)

// http://res.cloudinary.com/CLOUD_NAME/image/upload/c_thumb,g_face,h_90,w_90/sample.jpg

You can provide either a Facebook name or a numeric ID of a Facebook profile or a fan page.

Embedding a Facebook profile to match your graphic design is very simple:

let url = cloudinary.createUrl().setTransformation(CLDTransformation().setWidth(90).setHeight(130).setGravity(.Face).setCrop(.Fill)).setType(.Facebook).generate("billclinton.jpg")

// http://res.cloudinary.com/CLOUD_NAME/image/facebook/c_fill,g_face,h_130,w_90/billclinton.jpg

You can also chain transformations together:

let transformation = CLDTransformation().setWidth(100).setHeight(150).chain().setCrop(.Fit)
let url = cloudinary.createUrl().setTransformation().generate("sample.jpg")

// http://res.cloudinary.com/CLOUD_NAME/image/facebook/h_150,w_100/c_fit/sample.jpg

File Upload

1. Signed upload

Uploading to your cloud is very straightforward.

In the following example the file located at fileUrl is uploaded to your cloud:

cloudinary.createUploader().upload(file: fileUrl)

fileUrl can point to either a local or a remote file.

You can also upload data:

cloudinary.createUploader().upload(data: data)

The uploaded image is assigned a randomly generated public ID, which is returned as part of the response.

You can pass an instance of CLDUploadRequestParams for extra parameters you'd want to pass as part of the upload request. For example, you can specify your own public ID instead of a randomly generated one.

For a full list of available upload parameters, see the Upload API Reference documentation.

You can also pass a progress closure that is called periodically during the data transfer, and a completionHandler closure to be called once the request has finished, holding either the response object or the error.

In the following example, we apply an incoming transformation as part of the upload request, the transformation is applied before saving the image in the cloud. We also specify a public ID and pass closures for the upload progress and completion handler.

let params = CLDUploadRequestParams()
let request = cloudinary.createUploader().upload(file: fileUrl, params: params, progress: { (bytes, totalBytes, totalBytesExpected) in
    // Handle progress
    }) { (response, error) in
        // Handle response
2. Unsigned uploads using Upload Presets.

You can create an upload preset in your Cloudinary account console, defining rules that limit the formats, transformations, dimensions and more. Once the preset is defined, it's name is supplied when calling upload. An upload call will only succeed if the preset name is used and the resource is within the preset's pre-defined limits.

The following example uploads a local resource, assuming a preset named 'sample_preset' already exists in the account:

let request = cloudinary.createUploader().upload(url: file, uploadPreset: "sample_preset", params: CLDUploadRequestParams()).response({
    (response, error) in
    // Handle response

Every upload request returns a CLDUploadRequest instance, allowing options such as cancelling, suspending or resuming it.

File Download

The SDK provides some convenient methods for downloading files from your cloud:


You can also pass a progress closure that is called periodically during the data transfer, and a completionHandler closure to be called once the request has finished, holding either the fetched UIImage or an error.

let request = cloudinary.createDownloader().fetchImage(url, progress: { (bytes, totalBytes, totalBytesExpected) in
            // Handle progress
            }) { (responseImage, error) in
                // Handle response

Every download request returns an instance implementing CLDNetworkDataRequest, allowing options such as cancelling, suspending or resuming it.

The downloaded image is cached both to the memory and the disk (customizable). The disk cache size is limited and can be changed.


See contributing guidelines.

Get Help

If you run into an issue or have a question, you can either:

About Cloudinary

Cloudinary is a powerful media API for websites and mobile apps alike, Cloudinary enables developers to efficiently manage, transform, optimize, and deliver images and videos through multiple CDNs. Ultimately, viewers enjoy responsive and personalized visual-media experiences—irrespective of the viewing device.

Additional Resources


Released under the MIT license.


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Last commit: 6 weeks ago
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Release Notes

Version 4.2.0
6 weeks ago
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