Dynamic Image Transformation for Amazon CloudFront adds four new features
Today, AWS announced four new features for Dynamic Image Transformation for Amazon CloudFront (DIT). Customers can now use enhanced smart cropping with custom label detection and advanced composition controls that preserve products, text, logos, and custom objects within cropped images. In addition, customers benefit from enhanced automatic image optimization that delivers appropriately sized images across every browser and device type, from phones and tablets to smart TVs, using CloudFront's multi-tier device detection to maximize optimization reach regardless of how users access content. DIT also introduces an interactive image transformation playground for testing and validating transformations, and achieves full feature parity between it's ECS and Lambda architectures.
DIT's expanded smart cropping enables customers to combine multiple detection methods including faces, labels, text, logos, and custom Amazon Rekognition models, in a single request with configurable aspect ratios, padding, and gravity constraints prioritized by business need. Enhanced automatic optimization now uses a tiered detection approach, layering CloudFront's device classification headers and configurable fallbacks behind Client Hints, to eliminate the browser-support gap that left ~30% of traffic previously served unoptimized and extend right-sized image delivery beyond browsers to all device types. The image transformation playground displays transformed images with extended metrics including original and output dimensions, format, file size, compression ratios, and processing time, enabling customers to validate the performance of their transformation policies.
Dynamic Image Transformation for Amazon CloudFront is available to deploy in all commercial regions as well as the following four opt-in regions: Asia Pacific (Hong Kong), Middle East (Bahrain), Africa (Cape Town), Europe (Milan).