> For the complete documentation index, see [llms.txt](https://clients.medianova.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://clients.medianova.com/products/performance-cdn/image-optimization-and-webp.md). # Image and Compression Optimization Learn how to configure image transformation, format conversion, and response compression features in the Medianova Control Panel. Medianova provides image and compression optimization features for transforming source images, converting eligible images to modern formats, and compressing supported response types.

Medianova Image Optimization

## Available optimization features ### Image Optimization **Image Optimization** applies URL-based transformations to JPG and PNG images at the CDN edge. It supports operations such as resizing, cropping, padding, and other image transformations. Each transformed image URL creates a separate cached object. {% hint style="info" %} See [Image Optimization](/products/performance-cdn/image-optimization-and-webp/image-optimization.md) for supported transformations, limits, and configuration details. {% endhint %} ### WebP Optimization **WebP Optimization** converts eligible JPG and PNG images to WebP at the CDN edge. The CDN detects client support automatically. Supported clients receive the WebP version, while unsupported clients receive the original image format. {% hint style="info" %} See [WebP Optimization](/products/performance-cdn/image-optimization-and-webp/webp.md) for configuration details. {% endhint %} ### WebP+ Optimization **WebP+ Optimization** preserves source-level visual quality for eligible PNG images, including transparency and fine details. WebP+ variants may be larger than standard WebP variants because the feature prioritizes source-level fidelity. {% hint style="info" %} See [WebP+ Optimization](/products/performance-cdn/image-optimization-and-webp/webp+.md) for behavior and configuration details. {% endhint %} ### AVIF Optimization **AVIF Optimization** converts eligible JPG images to AVIF at the CDN edge. The CDN serves AVIF to supported clients and automatically serves the original image format to unsupported clients. {% hint style="info" %} See [AVIF Optimization](/products/performance-cdn/image-optimization-and-webp/avif-optimization.md) for configuration details. {% endhint %} ### Gzip Compression [**Gzip Compressio**](/products/performance-cdn/image-optimization-and-webp/gzip-compression.md)**n** compresses configured response types when the client supports Gzip compression. The feature applies compression based on configured MIME types. Formats that are already compressed generally receive little or no additional size reduction. ## Choose an optimization feature | Requirement | Feature | | ------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------- | | Resize, crop, or transform source images | [**Image Optimization**](/products/performance-cdn/image-optimization-and-webp/image-optimization.md) | | Convert eligible JPG and PNG images to WebP | [**WebP Optimization**](/products/performance-cdn/image-optimization-and-webp/webp.md) | | Preserve source-level visual quality for eligible PNG images | [**WebP+ Optimization**](/products/performance-cdn/image-optimization-and-webp/webp+.md) | | Convert eligible JPG images to AVIF | [**AVIF Optimization**](/products/performance-cdn/image-optimization-and-webp/avif-optimization.md) | | Compress configured response types | [**Gzip Compression**](/products/performance-cdn/image-optimization-and-webp/gzip-compression.md) | --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://clients.medianova.com/products/performance-cdn/image-optimization-and-webp.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.