{"id":32925,"date":"2024-03-13T04:53:47","date_gmt":"2024-03-13T11:53:47","guid":{"rendered":"https:\/\/cloudinary.com\/blog\/?p=32925"},"modified":"2025-03-08T14:24:16","modified_gmt":"2025-03-08T22:24:16","slug":"our-smartest-smart-crop-just-got-smarter","status":"publish","type":"post","link":"https:\/\/cloudinary.com\/blog\/our-smartest-smart-crop-just-got-smarter","title":{"rendered":"Cloudinary’s Smartest Smart Crop Just Got Smarter"},"content":{"rendered":"\n

Delivering picture-perfect visual assets is critical for any digital business. But cropping every image for every digital experience scenario is impossible for brands to do manually, especially for those managing millions of visual assets.<\/p>\n\n\n\n

Cloudinary is always researching new, smarter ways for brands, developers, and their customers to deliver better online experiences. Here\u2019s the latest that we\u2019ve developed that will get users a picture-perfect crop every time and at every scale.<\/p>\n\n\n\n

1. Automatic Crop (c_auto) for Context-Aware Image Cropping<\/h2>\n\n\n\n

Introducing the new Auto Crop (c_auto), specially designed to complement our AI Auto Gravity (g_auto). Together, these features offer a new level of automation for cropping images. This context-aware cropping tool intelligently determines the optimal crop and resize for an image, taking into account its content, context, and the specified dimensions or aspect ratio. By identifying the relevant parts of the image, it ensures that the essential elements are preserved during resizing. The powerful combination of g_auto, c_auto takes charge of cropping while being fully aware of each image\u2019s context, working seamlessly regardless of the image\u2019s content, strictly keeping to the requested dimensions or aspect ratio.<\/p>\n\n\n\n

The c_auto_pad cropping mode aims to avoid undesirable or \u201cbad\u201d crops by initially attempting to use the basic auto mode while adding padding only if the algorithm determines that more of the original image should be included in the final result. This proves especially beneficial when the derived image\u2019s aspect ratio is significantly different from the original.<\/p>\n\n\n\n

Taking c_auto_pad one step further, combining it with generative fill (b_gen_fill) creates generative ai-enhanced padded crops. Using this combination ensures the visual integrity of your images. It provides a natural-looking extension of the original, padding it with new pixels that flow seamlessly from the existing background for a cohesive, visually pleasing result.<\/p>\n\n\n\n <\/video>\n <\/cld-video-player>\n\n\n

For a more detailed look into how c_auto works, check out our DevHints video<\/a> and blog<\/a>.<\/p>\n\n\n\n <\/video>\n <\/cld-video-player>\n\n\n

2. Image Enhance (e_enhance) for Transforming Low-Quality Images<\/h2>\n\n\n\n

Low-quality images are a thing of the past with Cloudinary’s Image Enhance (e_enhance). This innovative feature utilizes generative AI to transform ordinary images into professional-grade assets by addressing common issues like exposure balancing, white balancing, and color vividness. The end result,  images look exceptional and perform optimally across web- and mobile-responsive platforms. Use Image Enhance (e_enhance) to  automatically:<\/p>\n\n\n\n