Try one image free · Batch coming soon
Auto-center and standardize product photos in bulk
Catalogs with 100+ SKUs need consistent white-background images at 2000×2000 with the same ~90% subject fill across every shot. Run one image now to see the output; join the team waitlist for full batch.
- •White background RGB purity check
- •Subject fills ≥ 85% measurement
- •Edge shadow contamination scan
- •Text / watermark detection
- •Single subject vs lifestyle props
- •Size and aspect ratio (1000px+ / 2000×2000)
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Why 'just bulk-edit in Photoshop' breaks at scale
Photoshop actions can resize and recolor at scale, but visual centering — the difference between "subject bounding box at 90% of frame, centered on the visual weight" vs "math-centered on the file canvas" — is per-image judgment. That's the last step that breaks pure-batch workflows.
- Subject bounding box ≠ canvas center. A handle, a spout, or asymmetric packaging makes the visual center different from the geometric center. Pure-batch tools center on the latter, which looks subtly off in a gallery view.
- 85% rule applies per image. A small earring at 30% fill and a large mixer at 95% fill both need to come out at ~90% — Photoshop actions can't measure subject fill, they only resize the entire canvas.
- Background unification. Different supplier photos have different "white" backgrounds. A bulk action can't make them all RGB 255,255,255 without per-image masking.
- Compliance verdict per file. After bulk edit you still need to verify each image individually — which is the manual step that takes 400× longer than the edit itself.
FAQ
Can the tool handle 100+ product photos in one batch?
Right now the tool is built around single-photo flows so we can validate the quality on each image. Batch upload for 5-25 images at once is available on the team plan. For 100+ image catalogs, send us your seller account size (number of SKUs, monthly upload cadence, and image specs) via the waitlist below — we're prioritizing batch features based on confirmed seller demand and want to make sure the batch workflow matches real seller pipelines, not a guess.
What does 'standardized' mean for Amazon product photos?
Standardized means every image in your catalog uses the same dimensions (2000×2000 square), the same background (pure white RGB 255,255,255), the same approximate subject fill (~90%), and the same file naming pattern (SKU-position.jpg). When a buyer browses your storefront or category, standardized imagery looks like a single brand instead of a patchwork of supplier shots. Amazon's algorithm also rewards visual consistency in the way it scores brand stores.
Can I keep aspect ratio when standardizing horizontal product photos?
Amazon's main image must be square (2000×2000) — wide products like keyboards, paintings, or surfboards get centered with white padding to fit. Lifestyle and detail slots are more flexible, but the same square-with-padding approach keeps everything consistent. The fix automatically pads to square; if you prefer to crop tight on the product instead, the team-plan batch interface lets you set per-batch crop policies.
How do file names work for bulk-uploaded products?
Amazon Seller Central accepts main-image uploads named after the ASIN or SKU. Our recommendation for catalog uploads: `{SKU}-MAIN.jpg` for the main, `{SKU}-PT01.jpg` through `{SKU}-PT06.jpg` for additional gallery slots (PT = product type). Our ZIP downloads use this convention by default — feed the unzipped folder straight into the Amazon image-upload tool without renaming.
What's the easiest way to bring 400 photos through Amazon's rules quickly?
If you have 400+ photos that all need standardizing, the most realistic workflow is: (1) run a 5-10 image sample through this tool to validate the output style matches your brand; (2) get on the team-plan waitlist below so we can plan a batch run for your specific catalog; (3) provide a CSV mapping image-file → SKU → product name → category. We deliver a structured ZIP back with standardized images and a per-image compliance report. Typical turnaround for 400 images: 24-48 hours.