Python image and video upload

Cloudinary provides an API for uploading images, videos, and any other kind of file to the cloud. Files uploaded to Cloudinary are stored safely in the cloud with secure backups and revision history. Cloudinary's APIs allow secure uploading from your servers, directly from your visitors' browsers or mobile applications, or fetched via remote public URLs.

Cloudinary's Python SDK wraps Cloudinary's upload API and simplifies the integration. Python methods are available for easily performing Python image and video uploads to the cloud and Python view helper methods are available for uploading directly from a browser to Cloudinary.

This page covers common usage patterns for Python image and video upload with Cloudinary.

For details on all available upload functionality, see the Upload guide, and the upload method of the Upload API Reference.

Server-side upload

You can upload images, videos, or any other raw file to Cloudinary from your Python code. Uploading is done over HTTPS using a secure protocol based on your product environment's api_key and api_secret parameters.

Python image upload

The following method uploads an image to the cloud:

For example, uploading a local image file named 'my_image.jpg':

Here's a more advanced example. To upload a remote image file, apply transformations including cropping to a square with automatic crop and gravity, as well as applying a special effect to enhance the image, then store the transformed image under the public ID file_wine:

In addition to a local path and a remote HTTP or HTTPS URL, the file to upload can also be specified as a whitelisted storage bucket (S3 or Google Storage) URL, a data stream, a base64 data URI, or an FTP URL. For details and code examples of uploading using each of these data source types, see Required upload parameters.

For details on all available upload functionality, see the Upload guide, and the upload method of the Upload API Reference.

Image upload tutorial

Watch this video tutorial to see how to upload images to Cloudinary using the Python SDK:

Tutorial contents

Python video upload

You upload videos in the same way as images. However, with videos, you must specify the resource type as 'video' within the upload method. In addition, the upload method supports uploading files only up to 100 MB. To upload larger videos, use the upload_large method, which uploads large files to the cloud in chunks.

The upload_large method has the identical signature and options as the upload method, with the addition of an optional chunk_size parameter (default 20 MB).

The following example uploads dog.mp4 to Cloudinary and stores it with the public ID dog_closeup. It also performs two eager transformations that resize the video to a square and a small rectangle.

Video upload tutorial

Watch a video tutorial demonstrating how to upload small and large videos. You can find the code from the tutorial in GitHub.

Upload response

By default, uploading is performed synchronously. Once finished, the uploaded image or video is immediately available for transformation and delivery. An upload call returns a Hash with content similar to the following:

The response includes HTTP and HTTPS URLs for accessing the uploaded media asset as well as additional information regarding the uploaded asset: public ID, resource type, width and height, file format, file size in bytes, a signature for verifying the response and more.

File sources

Cloudinary's Python library supports uploading files from various sources.

• You can upload an asset by specifying a local path of an asset. For example:

• You can provide an IO object that you created:

• If your assets are already publicly available online, you can specify their remote HTTP URLs instead of uploading the actual data. In this case, Cloudinary will fetch the asset from its remote URL for you. This option allows for a much faster migration of your existing assets. Here's an example:

• If you have existing assets in an Amazon S3 bucket, you can point Cloudinary to their S3 URLs. Note - this option requires a quick manual setup. Contact us and we'll guide you on how to allow Cloudinary access to your relevant S3 buckets.

  Note

  If you are coding an application in Django where users upload assets through a web form, you can pass the parameter of your Django's request.FILES to the upload method:

For more information on file sources for upload, see File sources.

Django forms and models workflow

If you're using Django, you can seamlessly integrate Cloudinary's capabilities into your forms and models using Cloudinary's helper classes. This approach ensures that you can continue your standard workflow of saving delivery URLs directly into your database during uploads, while also enabling the delivery of optimized and transformed assets on your website or app with Cloudinary's features.

As shown in the example below, you can define a model class Photo in your models.py file. This class has an image field of the CloudinaryField class.

In the forms.py file we define a PhotoForm class that has a form field named image of the CloudinaryFileField class (by default).

The views.py file defines a view named upload which displays an HTML upload form and also handles posting of image files. Such images are uploaded to Cloudinary from your Django server by the CloudinaryFileField class.

The following HTML templates includes a form that uploads images to your server for uploading to Cloudinary:

Having stored the image ID, you can now embed the image or a transformed version of it using the cloudinary template tag:

In addition, you can assign tags, apply transformation or specify any Cloudinary's upload options when initializing the CloudinaryFileField class. The assets will be saved in the transformed state as specified by the provided upload options.

Manage images in a Django app video tutorial

Watch this video tutorial to see how to integrate Cloudinary in a Django app using the forms and modes helper methods:

Tutorial contents