Image Optimisation at the Edge
Automatically shrink image sizes and serve the best image format for your clients in real-time. Zero effort required.
Improve Website Experience Globally
Best Format
Automatically transform and serve the best image format based on the requesting device/browser. Achieve an average 60% reduction in file size.
Best Quality
Our intelligent compression algorithms choose the best compression levels while maintaining image quality, achieving an average 99.9% similarity.
Fastest Delivery
Our Global CDN serves content with sub-20ms latency. Save on infrastructure and storage costs with Peakhour, with a typical 95% cache hit rate.
Automatic Next-Gen Format Conversion
Peakhour transparently chooses the best image format (AVIF, JPEG XL, WebP) for your client's device and browser, dramatically reducing file sizes without affecting quality. This happens automatically at the edge, with no changes required to your origin server.
Powerful Real-time Transformations
Our Image API allows for powerful real-time manipulations. Generate every size and crop you need from a single source image. Effortlessly resize, crop, trim, apply watermarks, and more to create endless variants and streamline your imaging pipeline.
Explore Our Performance Platform
Web Performance Optimisation
Discover our holistic approach to accelerating your web applications.
Advanced Caching
Learn how our powerful caching features can accelerate your application.
Improve Core Web Vitals
See how our platform directly improves your Google Core Web Vitals scores.
Optimise Your Images Today
Transform your website performance with intelligent image optimisation. Reduce file sizes, improve load times, and enhance user experience with zero configuration required.
Relevant information from our blog
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CDN Cache Keys - flexible caching
Cache keys allow the segmenting of the Peakhour.IO cache by elements of both the request and response, enabling effective and flexible caching of content.
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Request collapsing
Request collapsing - saving your origin by reducing concurrent requests and re-using responses for resources.
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