We’re currently kicking around the idea of adding the ability to crop an image in some capacity to Gigapixel AI. We’ve had multiple requests for this over the past year and we’d like to dig a little further into what people would want from a cropping feature. Our goal is to implement the most high-impact version of the feature that will add to the most common potential use case.
Two versions of this have been proposed:
Version 1: The ability to specify an output width and height for an image or group of images and have the image cropped around the borders (think Canvas Resize in Photoshop). Users would be able to pan the image to change where the crop would occur. This way, if you had multiple images you wanted to scale with different dimensions, you could specify a single width and height and have all the images cropped to that width and height when processing. There’s also the question of what to do with the borders of the image if the output size exceeds the dimensions of the scaled image - do default to a white background? Transparent? Perhaps the ability to change that background?
Version 2: A crop tool similar to the one in Photoshop. Users would be able to toggle a “crop mode” and specify a rectangle where the image would be cropped. So far, we’ve noticed that most users do this outside of the program and then import the cropped image into Gigapixel for resizing. The thought is that this fine-tuned cropping is typically done on no more than a few images at a time.
Our goal again is to cater to the most common use case and alleviate pain points in users’ image manipulation workflows, while also keeping the software focused and bloat-free. Your feedback on this is greatly appreciated! Thank you.