Image optimization for ecommerce

Zunzun provides an Image CDN that uses the Pixellena API for high-volume processing, capable of applying AI algorithms to images as well as conventional image processing algorithms. Explore an intelligent way of applying automatic cloud-based image optimization!

Explore how to automate more with less efforts. Boost performance and get images compressed up to 90% - book a meeting now!

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Image optimization API tailored for e-commerce

Product images are vital in ecommerce. That’s why we have focused on building an image optimization API that allows website owners to handle the last part of their image operations - namely format conversion and optimization - while preserving image quality.

Explore technical details on how to apply Pixellena image optimization API with features like super-resolution, focal point cropping and built-in image quality checks. Try Pixellena


Integrate Anywhere

Use our SDKs to set up and use Pixellena in your technology stack. Browse our tutorials to learn how to easily put Pixellena to use in your projects.

How: To optimize images all you need is a valid API token. Check out the tutorial in three steps to get it up and running now! Read more »

Try the online demo

Upload or provide an image URL and see the results!

How: The online demo can be used to test Pixellena's image optimization API Pixellena. Try the demo »



Task engine to process images in the cloud at scale

Pixellena is built on the task engine Tilemore, that runs in any cloud and uses spot instance capabilities in a convenient way for intensive media-processing tasks.

How: Add your image algorithm and use an API endpoint for Toilmore deployed in specialized infrastructure for you! Read more »

About the operations

Powerful image processing at your fingertips with a simple API


Control image quality

Pixellena allows you to perform image format conversion and optimization, while preserving image quality

How: For lossy images, it does line-search to find the encoded image that best approximates a given quality metric and threshold. Read more »

Focal Point Cropping

Focal point cropping gives you the ability to choose and fine-tune the point of interest of your image for better art direction.

How: Either provide coordinates for a focal point, or simply use one of the algorithms that we have to automatically detect the focal point. Read more »




Produce up-scaled versions of images starting from a lower resolution image which is the best you have available.

How: We use Super Resolution GAN (SRGAN) as the enhancement algorithm. The motive of this architecture is to recover finer textures from the image when upscaling so that the quality cannot be compromised. Read more »