SpeedSize utilizes advanced AI algorithms and computer vision techniques within a CDN-based system to optimize media files, ensuring high visual quality while significantly reducing file sizes. The platform intelligently analyzes the unique content of each image or video, identifying key points of interest that the human eye focuses on while removing unnecessary data that is imperceptible. This process results in visually identical media files that can be reduced in size by 90-99%. By leveraging its PsychoVisual Compression Index (PVCI), SpeedSize fine-tunes the compression process to achieve the best balance between quality and size.
Operating on a robust CDN infrastructure, SpeedSize processes and optimizes media files into next-generation formats like AVIF and WebP. By analyzing browser headers and user-agent information, SpeedSize dynamically adjusts the format and resolution of each media file to deliver the optimal version tailored to the user’s device and network conditions. This adaptive delivery enhances website performance and minimizes bandwidth usage while ensuring a seamless browsing experience across devices.
In summary, SpeedSize combines computer vision, advanced compression algorithms, and a CDN-based delivery system to enhance image and video performance. It supports multiple formats and integrates smoothly with existing web technologies, making it a comprehensive solution for optimizing media delivery on websites.