---
title: "Free white background checker for packshots | Herofab"
description: "Measure whether a product photo's background is pure white #FFFFFF, as Amazon requires for the main image. Free, in your browser, nothing uploaded."
url: https://herofab.app/tools/white-background-checker
language: en
updated: 2026-11-12
---

# Is it really white? Measure it.

A background that looks white can be a shade of grey to a marketplace. This tool reads the pixels along the edges of your photo and reports how many are exactly #FFFFFF. It runs in your browser; nothing is uploaded.

![The terracotta bomber jacket as a ghost mannequin, cut out on pure white · White background checker](https://herofab.app/img/ex/ghost-white-1100.webp)

Made with Herofab · Remove background

## Choose your packshots.

Amazon, Walmart and TikTok Shop require a pure white background, RGB 255, 255, 255 / #FFFFFF, for the main image ([guides](https://herofab.app/guides/), checked 24 September 2026).

## What the tool reads along the edges of a photo

White background checker opens the photo in the browser and reads the colour of every pixel in a thin band along its four edges; the middle of the picture is not read. Each edge pixel is tested three ways: whether it is exactly pure white, whether it lies within a few levels of white, and whether it is exactly one particular light grey, the grey that Marketplace image resizer offers as a padding colour.

The verdict has three forms: pure white, when almost every edge pixel is exactly pure white; near white but not pure, when almost every edge pixel is close to white; and not white otherwise. Each states the share of edge pixels that are exactly pure white. Under it stand the share close to white, the share of the exact light grey and the average edge colour as red, green and blue values. There is no marketplace to choose.

## When to measure the edges and when to use another tool

This tool fits a packshot that is meant to stand on pure white, when the question is how far the background is from that value: a near white verdict with an average colour a little below white shows how much the background has to be lifted. It does not look for the product, so it has nothing to say about fill, cut-off edges or shadows. Product photo checker separates the product from the background and reports those for one chosen marketplace.

The two tools can read the same photo differently. Here, a product, a model or a shadow that reaches the edge of the frame lies inside the band and counts as not white, even when the background is pure white; Product photo checker classes the background it has separated from the product. Image size checker reads no colours at all, and AI image label checker reads only the markers inside the file. Remove background can deliver the cut-out product on solid white, and that result can be measured here again.

## How to read the figures and what they do not show

Near white with a high share close to white usually points to light or processing: the background was lit or saved a little below white, and the average edge colour shows by how much and whether it leans towards a colour. Not white with a low share can mean a grey or coloured ground, but also a product, a border or a shadow in the band.

The tool measures the edges only. A grey patch or a shadow in the middle of the picture that does not reach the band is not read, and transparency is not read either. A pure white verdict is a measurement of the edge band, not the approval of a marketplace, and the channel's rule page remains the last reference for which image has to be pure white.

## About this tool.

**Does this free tool need an account?**

The first successful use of each free tool is available without an account. If prompted to continue using it, create a free Herofab account. Files are processed in your browser and are not uploaded.

**Is my image uploaded?**

No. The file is read and processed inside your browser; nothing is sent to a server.

**How is the background measured?**

The tool reads every pixel in a band along the four edges of the photo (2% of the shorter side, at least 4 pixels) and counts those that are exactly #FFFFFF, those within 5 levels of white, and those that are exactly #F1F1F1.

**Why does my white background fail?**

Studio light and camera processing often leave the background at a light grey such as 245 or 250 instead of 255. JPEG compression can also shift edge pixels slightly.

**What does pure white (#FFFFFF) mean, and why do marketplaces ask for it?**

Pure white is RGB 255, 255, 255: every colour channel is at its maximum. Amazon, Walmart and TikTok Shop require this background for the main image.

**What does this checker measure, and does it remove the background?**

It samples pixels in a band along the four photo edges and reports exact white, near-white and #F1F1F1 counts. It measures the background colour; it does not remove the background.

**What if my photo fails?**

Herofab creates on-model, ghost-mannequin and white-background images from one product photo. [Create an account](https://app.herofab.app/login?lang=en&entry_source=tool) to try it with 20 free credits.

**What does it report for a PNG with a transparent background?**

The tool reads colour values and has no reading for transparency, so a transparent cut-out is not reported as white. Export the cut-out on a white background first and measure that file. Product photo checker recognises a transparent cut-out and reports it as one.

**Does a product that touches the edge change the result?**

Yes. The band along the edges is read as it is, and the tool does not separate the product from the background. Where a product, a model or a shadow runs out of the frame, those pixels count as not white and lower the shares. Product photo checker measures the background apart from the product.

Related

[Best prompts for AI product photos: 8 patterns to copy](https://herofab.app/guides/best-prompts-for-ai-product-photos)

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