Traditional compression techniques aim to reduce file size by eliminating data, often resulting in visible artifacts like pixelization and blurriness. These methods usually rely on a one-size-fits-all approach, applying the same compression presets to all media files without accounting for their unique content. This leads to a loss of essential visual elements, negatively impacting the overall quality and user experience.
SpeedSize takes a completely different approach with its exclusive Neuroscience Media Optimization technology. Instead of using presets, SpeedSize analyzes and optimizes each image or video individually. Our AI-driven system evaluates up to 100 factors, mimicking the way the human brain processes visual information, and identifies the critical points of interest that the human eye focuses on. This allows us to remove unnecessary data that the human eye cannot perceive, delivering visually identical media with up to 99% smaller file sizes.
Additionally, SpeedSize employs its proprietary PsychoVisual Compression Index (PVCI), a metric that is based on the fundamentals of human eye physiology and measures the PsychoVisual difference of the image before and after processing. Our compression process is fine-tuned to achieve the minimal possible file size while maintaining the original visual quality. By utilizing machine learning, SpeedSize performs multiple rounds of compression with varied approaches, continuously refining the output until the ideal quality-to-size ratio is reached.
SpeedSize also uses a proprietary approach to resizing, which allows us to preserve much more details, resulting in clearer, more detailed images compared to conventional resizing algorithms.
Thus, SpeedSize guarantees that the final media retains its visual quality without visible artifacts while also providing adaptive resizing, content-aware cropping, and fast-loading videos without buffering.
In summary, while traditional compression compromises quality for smaller sizes, SpeedSize’s intelligent optimization delivers the smallest possible files without sacrificing the quality needed to effectively showcase your media.