Batch product photo editing: a ten-photo workflow
Plan a small product-photo batch, test one difficult image, track credit costs and review every result before downloading a ZIP.
This guide describes the current AIPhotoRetouch workflow. Generative edits can change details; compare every result with your original.
The short answer
Define the finished image first, group similar sources and test one difficult product before processing the rest. AIPhotoRetouch supports signed-in batches of up to 10 photos, with a separate cost per image. Batch submission saves repeated setup; it does not remove the need to review each product.
Open the photo editor
Write a short production brief
Choose the background treatment, crop, subject scale, export format and destination requirements before editing. A reusable transparent cutout is a different deliverable from a finished white listing image or a generated lifestyle scene. Keep one approved reference alongside the brief.
Give products clear filenames tied to the correct item and view. Record variants that must not be mixed up, such as two similar colors or package sizes. A neat image is not useful if it ends up attached to the wrong listing.
Group by the problem rather than uploading everything together
Separate simple opaque objects from reflective packaging, glass, fine straps and products photographed in very different light. Similar settings are easier to assess across similar sources. A single instruction cannot be assumed to solve unrelated capture problems equally well.
If you are still photographing the collection, keep the camera position and lighting consistent. Adobe’s product-photography guidance emphasizes stable capture conditions and a tripod. Better source consistency reduces the amount of correction you need later; editing is not the only place to improve the workflow.
Sources and further reading: Adobe
Pilot the difficult image and count the real cost
Choose an image with a meaningful edge case, such as a narrow handle, rather than only the easiest product. In AIPhotoRetouch, background removal costs 1 credit per successful photo; a quality edit or look costs 3. Ten cutouts therefore need 10 credits, while ten quality edits need 30.
A pilot is a paid attempt when it processes successfully, even if you decide against that appearance. Include that attempt in the budget rather than assuming every experiment is free. Technical failures and canceled edits return credits; a completed result still requires your quality decision.
Apply the chosen task to the new photos
After Google sign-in, add up to 10 photos and choose the task and relevant settings. Apply the same task and instruction to the new photos that should receive it. Background removal is automatic and does not use a written note; generated scene edits need a different brief and closer product review.
The allowance is a limit on one batch, not a shared price for all its photos. Review the displayed total and available credits before starting. AIPhotoRetouch currently offers a browser workflow rather than a public customer API or a shared product-catalog database.
Review every output in a consistent order
First verify product identity, color, shape, packaging text and accessories. Next inspect edges, shadows and fine gaps. Then compare framing and scale across the whole set at its intended display size. A successful result for one item does not validate the other nine.
For generated backgrounds, reject any invented product feature or misleading accessory. For cutouts, inspect both light and dark placements. Keep a small checklist for files that need individual attention instead of automatically rerunning the entire batch when one photograph fails.
Download, check and archive the delivered files
Download successful results as a ZIP, including when another image in the batch fails. Open the archive and match the files back to their original items. Use PNG or supported WebP for transparency; JPG downloads flatten transparency onto white.
Inspect a trial upload at the destination and keep originals separately from finished files. Larger catalogs that need automated positioning, resizing, team approvals or API integration may be better served by a dedicated catalog platform. Choose the workflow that fits the actual production requirement.
Sources and further reading: Photoroom
Common questions
Does a ten-photo batch cost only 3 credits?
No. Each image has its own task cost. Ten successful quality edits use 30 credits; ten successful background removals use 10.
Can I download results if one photo fails?
Yes. Successful results can be downloaded as a ZIP even when another job in the batch fails.
Will identical instructions produce identical product photos?
They do not guarantee that. Source differences and generative variation still require individual review and consistent capture conditions.