![]() ![]() ![]() Upscayl offers an easy-to-use interface that allows users to upload images, choose the magnification factor they want (2x, 4x, or 8x), and then enlarge the image with minimal quality loss. This time, you will have to rely on a Creative Cloud monthly subscription at 11.99 euros.įor those looking for a budget alternative, free tools like Upscale are available on macOS, Windows, and Linux. Although it may result in increased file sizes compared to other software, its fast render times make up for this shortcoming, especially for large projects. It retails for $43.99 and is available exclusively on macOS.ĭo you really need to introduce Photoshop? Adobe’s flagship software, renowned for its comprehensive photo-editing capabilities, now features Super Resolution, an AI-powered upscaling tool. Among its highlights are customizable dimensions, which allow images to be resized down to the pixel level. It offers many other image editing and retouching options, perfect for expressing your artistic side. With its ML Super Resolution feature, Pixelmator Pro sets the benchmark for AI-powered upscaling. The software is available on Windows and macOS for $99. The software also features Topaz Video AI, which improves video quality with upscaling, denoising, sharpening, and deinterlacing capabilities.ĭespite its impressive capabilities, its render times are relatively long and its interface is less fluid compared to its competitors. Gigapixel AI prides itself on being able to increase the size of images by up to 600% while preserving the original details thanks to its engine proprietary AI. This AI-powered upscaling pioneer has specialized in this field since its inception in 2018. We have selected five that you might find useful: Gigapixel AI (paid) The market currently has dozens of tools that allow you to scale your images without losing quality, but not all are as good as each other. What are the best AI-powered upscaling software? It adapts the addition of pixels according to an in-depth knowledge of the image to be retouchedenhancing details such as edges to avoid artifacts. It looks like magic, but it’s actually the result of complex calculations.ĪI-driven upscaling begins by analyzing the entire image to identify key elements, such as shadows, faces, edges, textures, and more. Then, when you give it a low-quality image or video, the AI uses what it’s learned to improve it and make it clearer. Simply put, it uses a special computer program that learns from lots of good quality images and videos. The AI-based approach is now the most efficient method on the market to increase the size of images without compromising their quality. However, that all changed with the introduction of AI-driven upscaling. Traditionally, upscaling was reasonably effective at slightly enlarging decent quality images, but struggled with low quality compressed files. In contrast, AI-powered upscaling leverages the capabilities of deep learning models to generate higher-resolution images and videos that retain more detail and look more natural. Traditional upscaling methods often produce blurry or pixelated images because they simply enlarge the original content using basic interpolation techniques. There are different types of upscaling: basic, which involves a “simple” duplication of pixels, or interpolation, where missing pixels are created by averaging the existing pixels. Upscaling, also known as “resampling image enlargement”, is a technique that resizes photos or videos by adding pixels. 3.5 dia (free) What is AI-driven upscaling? ![]()
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