A bulk workflow for product photos: batch cutouts, naming, and ZIP export

Cutting out one product photo is easy. Cutting out eighty, all with the same framing and naming so they drop straight into your store, is where most of the time goes. This guide describes a repeatable workflow for batches using the bulk background remover, from organizing the source photos to uploading the finished ZIP.

Before you start: organize the source folder

A batch is only as consistent as its inputs. Ten minutes of preparation saves an hour of fixing.

• One folder per export. Put every photo that should get the same treatment (same marketplace, same background) in one folder. Main images and lifestyle shots usually need different settings, so keep them apart.
• Name the originals meaningfully. If your camera produces IMG_4821.jpg, rename the files to the SKU or product name first. The export can reuse the original name, so good input names become good output names automatically.
• Remove rejects. Blurry, cut-off, or badly lit shots will not improve by removing the background. Delete them now rather than discovering them in the ZIP.
• Check sizes. The tool accepts JPG, PNG, and WEBP files up to 20MB each, and up to 100 images per batch. Very large camera RAW exports may need to be saved as JPG first.

Step 1: add the images

Drop the whole folder's contents onto the bulk tool, or click Add images. Processing starts immediately, one image after another, on your own device. The first image takes longer because the AI model is loaded into your browser; after that, each photo usually takes a few seconds on a recent laptop, longer on older phones.

Nothing is uploaded, which matters for unreleased products and client work: the photos stay on your machine, and you can keep working while the batch runs.

Step 2: choose the platform and look once

Pick a Platform preset. Each one sets the canvas size, how much of the canvas the product fills, and a suggested background and format:

Then choose the Background (transparent, white, any custom color, a gradient template such as Studio gray or Warm sand, or your own background image) and a Shadow style. These apply to every image in the batch, which is exactly what you want: consistency is the main reason to use a batch tool rather than editing photos one by one.

Step 3: review, then fix only what needs fixing

Click through the previews. Most images will be fine. For the ones that are not, adjust just that image rather than the whole batch:

• Edge (this image): tighten the edge to remove a halo of the old background, or widen it to recover a thin part that was clipped, such as a cable or a strap.
• Product size (this image): make a small product larger or a large one smaller so it matches its neighbors visually.

If a whole batch has the same problem, for example a faint gray halo on every product shot on the same gray paper, change the batch-wide edge setting instead. Images you adjusted individually keep their own setting.

For a photo where the AI picked the wrong subject entirely, such as a product sitting on a patterned box, open that one image in the single-image tool, use Select object to paint over the product you want to keep, and export it separately. See fixing halos and rough edges for more techniques.

Step 4: name the files

The File names field is a template. These tokens are replaced for each image:

• {name}: the original file name without its extension
• {n}: the image's position in the batch, zero-padded (01, 02, and so on)
• {preset}: the platform preset, such as amazon or etsy
• {w} and {h}: the output width and height in pixels

Some patterns that work well:

• {name}-{preset} (the default): keeps your SKU-based names and adds the platform, for example MUG-014-amazon.jpg.
• {name}-main: when you prepare main images and lifestyle images separately.
• listing-{n}: when the order matters more than the name, for example photos of one product from several angles.
• {name}-{w}x{h}: when you export several sizes and need to tell them apart.

Step 5: set export limits and download

Choose JPG, PNG, or WEBP and a quality level. If a platform has a file size cap, enter it in Max file size: the tool lowers the quality of each JPG or WEBP step by step until it fits, and warns you about any file it could not get under the limit. PNG cannot be compressed this way because it is lossless.

Click download and everything arrives as one ZIP file. Unzip it and upload the images to your store as usual.

Exporting the same batch for another store

Do not clear the batch after downloading. Switch the platform preset and background and download again: the cutouts are reused, so only the layout and export are redone. One shoot can produce Amazon, Shopify, and Etsy versions in a few minutes. Product photo sizes for each marketplace explains which settings suit each store.

Keeping future batches consistent

• Write down your settings. Note the preset, background, shadow, product size, and edge setting you used. Next month's new products will then match last month's.
• Shoot the same way every time. Same backdrop, lighting, distance, and angle. The more consistent the originals, the less per-image fixing you need. How to shoot product photos for clean cutouts describes a simple, repeatable setup.
• Keep the originals. The cutouts are generated from them, and you may want to re-export at a different size later.

Summary

Treat a batch as a pipeline: clean, well-named originals go in; one set of platform, background, and shadow settings is applied to all of them; only the outliers get individual fixes; and a naming template produces files that are ready to upload. Because the processing happens on your device, you can repeat the export for every store you sell on without uploading your catalog anywhere.