Check List November 15, 2026 6 min read

Catalog Image Consistency Checklist: 12 Checks Before You Merge Supplier Photos

Quick Summary

Marketplace specs describe one image at a time, so a catalog can pass every upload and still look like five stores. This checklist gives 12 pass-or-fail checks in four gates, a strictest-wins spec sheet from Amazon, Walmart and Shopify, and cleanup costs for 1,800 images.

Marketplace specs describe one image at a time; nobody checks whether 600 supplier files match each other.

Marketplace specs describe one image at a time. Nobody checks whether your 600 supplier files match each other. That gap is why a catalog can pass every upload and still look like five different stores. This catalog image consistency checklist gives you 12 pass-or-fail checks in four gates, plus a one-page spec sheet built from the official Amazon, Walmart and Shopify rules.

If you sell on Amazon, Amazon product photo editing starts from the same spec sheet. Use the gates in order, and send supplier files back before you edit them.

The catalog image consistency checklist at a glance

Twelve checks, each with a yes or no answer, so two reviewers reach the same verdict. FrameOnce names five things a catalog can drift on: lighting direction, color temperature, shadow, background and framing. It also says a catalog can match on three and still look off. Suppliers add their own drift: canvas size, file names and shot angles.

A one-page poster of the 12 catalog image checks grouped into four gates: spec sheet, frame, color and edges, files and sign-off. — Print the poster, then add a column per supplier and tick each check on a 20-image sample.

Run the gates in order. A file that fails gate 1 never reaches gate 3, because color work on a 900 px file is wasted effort.

Gate 1: lock the spec sheet before anyone edits

Three official pages give three different specs, and a catalog can have only one master. The strictest rule wins.

Spec	Amazon	Walmart	Shopify	Master spec
Canvas	1,000+ px advised	2,200 x 2,200 px	2,048 x 2,048 px best	2,200 x 2,200 px
Shape	Not listed	1:1 square	Not listed	1:1 square
Main background	RGB 255, 255, 255	RGB 255, 255, 255	Not listed	RGB 255, 255, 255
Product fill	85% of image	Crop close	Not listed	85%
File	JPEG advised	JPEG, PNG, BMP, 5 MB	PNG best, under 20 MB	JPEG, 5 MB or less
Color	RGB preferred	RGB, 8-bit	Not listed	8-bit RGB

Shopify's media page lists no shape, background or fill rule, so Amazon and Walmart decide those rows.

Check 1: Canvas. Use 2,200 x 2,200 px, 8-bit RGB, JPEG at or under 5 MB. That clears Walmart's size, and Shopify's best size of 2,048 px is a downsize (2,200 / 2,048 = 1.07).
Check 2: Source floor. Reject supplier files under 1,500 px on the long side. Walmart sets 1,500 px as its zoom minimum. Amazon says not to enlarge small images artificially, and Walmart says not to resize smaller images to fill space.
Check 3: Background. Sample all four corners and the edges. The main image must read RGB 255, 255, 255, which both Amazon and Walmart require.

Sources: Amazon's product image guide, Walmart's image guidelines and Shopify's media help, all opened Nov 15, 2026.

Gate 2: frame every product the same way

A shoe facing the wrong way fails Amazon on angle alone. Amazon wants a single shoe, facing left, at a 45-degree angle, so a supplier who shoots right-facing pairs breaks the rule before color even matters.

Diagram of a 2,200 px square canvas with a product box of 1,870 px, 165 px margins on each side and four corner sample points reading RGB 255. — At the 1,500 px zoom floor, the same 85% rule gives a 1,275 px product box (0.85 x 1,500).

Check 4: Fill. Amazon asks for the product at 85% of the image. It does not say width or height, so measure the longer side and use that reading for every supplier. On a 2,200 px canvas, 85% is 1,870 px, which leaves 165 px of margin on each side. Pick a tolerance, such as 83 to 87%, and write it on the sheet.
Check 5: Alignment and view. Choose one anchor per category, such as the bounding-box center or a shared baseline. Keep the same view order for every SKU.
Check 6: Shadow. Choose one style per category: none, natural or soft drop. FrameOnce calls mixed shadow styles the most jarring inconsistency in a catalog.

Gate 3: match color and edges across suppliers

White backgrounds are the easy part. FrameOnce says color temperature drift is the most visible inconsistency to customers, and most sellers never notice it in their own catalog.

Check 7: Color. Neutral items such as white packaging must read neutral in every supplier's files. Check against a reference swatch or the maker's color value, and avoid saturation boosts that make the product less accurate.
Check 8: Edges. Zoom in on the cutout edge. Fail any halo, fringe or leftover background. Hard-edged products suit a clipping path, while hair, fabric and transparent items need masking. Amazon also bans any part of a mannequin, so check apparel files for neck-join leftovers.
Check 9: Sharpness. Judge at the size shoppers see, not at 400% zoom. If a supplier's file is soft or heavily compressed, replace the source instead of sharpening it.

Gate 4: names, masters and sign-off

One dash in a file name can stop an Amazon upload. Amazon's bulk tool wants the product identifier, a variant code and an extension, separated by periods, such as B000123456.MAIN.jpg. Spaces or dashes prevent the upload. Walmart recommends the 14-digit GTIN in the name instead.

Check 10: Naming. Keep one stable master name, such as SKU1234-front-01.jpg. Generate Amazon and Walmart names at export, so no editor types them by hand.
Check 11: Masters and exports. Keep the untouched original and the edited master. Make channel files from the master, never from each other.

Check 12: Sample audit. Pull 20 files from each supplier and log every miss with a code:

BG: background is not 255
FILL: product outside tolerance
ANGLE: wrong view or direction
SHADOW: wrong style
COLOR: neutral item off
EDGE: halo or fringe
SOFT: blurred or compressed
NAME: wrong file name

Each supplier shoots with its own setup, so a miss usually repeats across that supplier's files. The same code twice on one supplier means checking that whole supplier set. For five suppliers, that is 100 files, or 5.6% of an 1,800-image batch (100 / 1,800).

What does fixing a mixed-supplier catalog cost?

Take 600 SKUs with 3 images each, which is 1,800 images. At our list rates, cleanup costs $540 or $1,800 depending on the tier, and doing it yourself costs 90 hours.

Bar chart of the cost to standardize 1,800 images: Starter $540, Business $1,800 and DIY $2,700 at an assumed 3 minutes per image and $30 per hour. — The DIY bar uses assumed numbers, 3 minutes per image and $30 per hour, so replace them with your own.

The pricing page lists Starter at $0.30 per image for basic cleanup, white backgrounds, cropping and resizing. It lists Business at $1 per image for color matching and batch consistency across a catalog. Business capacity is up to 1,500 photos a day, so 1,800 images need 2 working days of capacity (1,800 / 1,500 = 1.2). Bulk discounts are not applied above, and the minimum order is $20.

DIY maths: 1,800 x 3 minutes is 5,400 minutes, or 90 hours, and 90 x $30 is $2,700. The break-even is price divided by your hourly rate, times 60. At $30 an hour, a $1 image beats DIY when you need more than 2 minutes per image ($1 / $30 x 60). If suppliers already send 2,200 px files on white, you may only need crop and resize, and Starter scope or your own presets can cover that.

For a mixed catalog, the AI vs manual bulk editing guide shows where tools stop. Test before you commit: the free trial covers one to two images per category with no payment details, so send your worst supplier file.

Next step

Write the spec sheet on one page before the next batch arrives. Pull 20 files per supplier, run gate 1 on them and send back anything under 1,500 px. Fix the brief to the supplier first, then fix the edits.

Frequently Asked Questions

Should every product category use the same background?

Marketplace main images should not vary: Amazon and Walmart both require 255, 255, 255 white. Photoroom's advice for the rest is to define backgrounds per category and image type, then document them, so a lifestyle shot in one category never sits in a white-only grid.

How many images should I audit per supplier?

Start with 20, as in check 12. If one defect code shows up twice, widen the audit to that supplier's whole set. Drop the sample size only after a supplier passes two batches in a row.

Can AI batch tools standardize a catalog on their own?

They apply one setting to many images, and Photoroom's batch mode handles up to 250 at a time. They do not decide your standard. Photoroom itself lists validating results before publishing as step four, so a sample audit still applies.

How often should I update the image standards?

Review them at least once a year, and again when you add a category or a marketplace changes its rules. That is Photoroom's guidance, and it fits because the Amazon and Walmart pages above are the ones that change.

What should I do with supplier files that are too small?

Send them back and ask for the original. Amazon says not to enlarge small images artificially, Walmart says not to resize smaller images to fill space, and it-s.com advises replacing a severely blurred or compressed source instead of enhancing it.

Next Step