Resize & Padding

Deep-image.ai FAQ

1. What is Resize & Padding in the context of the Deep-image.ai API? Resize & Padding is a feature of the Deep-image.ai API that allows you to adjust the size of an image by resizing and padding it according to your desired dimensions. It is particularly useful when you need to standardize image sizes or prepare images for specific display or processing requirements.

2. How does the Resize & Padding feature work in the Deep-image.ai API? The Resize & Padding feature in the Deep-image.ai API uses advanced algorithms to resize and pad images. You provide the desired dimensions for the output image, and the API automatically resizes the original image to fit those dimensions. If the aspect ratio of the original image differs from the desired dimensions, padding is added to maintain the original aspect ratio.

3. What parameters are required to perform Resize & Padding via the Deep-image.ai API? To perform Resize & Padding via the Deep-image.ai API, you need to specify the target width and height for the output image. These dimensions determine the final size of the resized and padded image. You may also have the option to specify additional parameters such as the background color for padding or whether to maintain the original aspect ratio of the image.

4. Can I resize and pad multiple images simultaneously using the Deep-image.ai API? Yes, the Deep-image.ai API supports batch processing, allowing you to resize and pad multiple images simultaneously. You can provide a list of images or specify a directory containing the images, and the API will perform the resize and padding operation on each image in the batch.

5. What image formats are supported for Resize & Padding via the Deep-image.ai API? The Deep-image.ai API supports a wide range of popular image formats for Resize & Padding, including JPEG, PNG, TIFF, and BMP. You can pass images in these formats to the API for resizing and padding operations.

Here is an example of the results: