Practical guide · Updated November 6, 2026

From supplier photos to a product image pack

Use this workflow when you have several photos of one product with inconsistent sizes and filenames. It creates consistent image dimensions and names, not new product photography.

1. Choose photos for one product

Select JPG, PNG or WebP files. Keep different product SKUs in separate batches. Start with the clearest available originals; making a small photo bigger cannot restore detail.

2. Pick the output dimensions

The default is a 1600 × 1600 pixel white canvas. This is a starting point, not a universal marketplace requirement. For a 2400 × 1600 original, the tool fits the photo to about 1600 × 1067, centered on the canvas. It does not crop or stretch the product. Smaller originals are not enlarged.

3. Decide whether to add white padding

Keep the checkbox on for matching square dimensions. Turn it off to keep the original proportions and only limit the longest edge. Padding adds white space around the complete image. It does not cut out an existing background or isolate the product.

4. Name the batch

Enter a SKU such as BLUE-MUG. Files become BLUE-MUG-01.jpg, BLUE-MUG-02.jpg and so on, in selection order. Use the filenames displayed in the preview as the final reference. Spaces and unsupported filename characters become hyphens; use a short Latin-letter SKU for predictable filenames.

5. Compare before downloading

Check dimensions, actual file size, small text, color and edges in each preview. JPEG and WebP use adjustable quality. PNG is lossless and can be larger. A white canvas can increase file size; the tool reports increases instead of claiming every image is compressed.

6. Download and spot-check

Download one file or the ZIP. Open the saved images and check the destination platform requirements before publishing. Originals remain unchanged. Transparency is flattened onto white; metadata and animation are not preserved.

Privacy and limits

Image processing runs in your browser, without sending selected images to Kindiv. A batch supports up to 20 images, 15 MB per file and 50 MB total. Each decoded image must be no larger than 16 megapixels. Large images may require significant device memory.

Need one small operation?

Image Resizerhandles one width change.Image Compressorhandles one file-size task. Use the batch tool when you also need consistent canvas sizes and filenames.