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Dynamic Image Transformation for Amazon CloudFront

Transform, optimize, and deliver images in real time at a fraction of the cost

Overview

Dynamic Image Transformation for Amazon CloudFront (formerly Serverless Image Handler) enables real-time image processing through the global content delivery network (CDN) of Amazon CloudFront. This AWS Solution helps you optimize visual content delivery while significantly reducing operational costs and complexity. By dynamically transforming a single source image on-demand, it eliminates the need to store multiple versions of the same image, resulting in substantial storage savings. This solution also enhances the user experience through faster load times with improved caching, while providing robust security controls to protect against inappropriate content, including URL signing, request validation, and content moderation features.

Benefits

Streamlined image optimization

Transform and optimize images in real-time through simple API requests, serving the most efficient format based on browser capabilities and helping ensure optimal file size and quality.

Cost-effective storage management

Store only original images and generate variants on-demand, eliminating the need for multiple versions of the same image and significantly reducing storage costs.

Advanced security controls

Protect visual assets with URL signing, request validation, and content moderation features while maintaining granular access controls over your image delivery.

Scalable architecture

Automatically handle varying loads with serverless architecture, enabling consistent performance during traffic spikes without managing infrastructure.

Technical details

Use cases for this AWS Solution

About this deployment

  • Publish Date:
  • Version: 7.0.4
  • Released: 6/2025
  • Author: AWS
  • Est. deployment time: 15 mins
  • Estimated cost: See details

View implementation guide
Download implementation guide
Source code
CloudFormation template

Deployment options

Ready to get started?

Deploy this solution by launching it in your AWS Console

Launch in the AWS Console