AI image compliance checker for ecommerce

Name: Hypotenuse AI
Author: Hypotenuse AI

Automatically validate product images against retailer requirements and brand guidelines. Catch issues before going live and fix them in the same workflow.

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Etapa 1

Configure your compliance rules

Define image requirements for each retailer and sales channel. Set standards for background color, dimensions, resolution, aspect ratio, file format, and model cropping, all from one place.

Etapa 2

Run compliance checks at scale

Validate your entire image library against every configured ruleset. Each image is checked against the specific standards for every channel it's going to. Non-compliant images are flagged so your team knows exactly what needs attention.

Etapa 3

Fix, re-validate, and publish

When images fail checks, fix them directly within your image library on Hypotenuse AI. Swap backgrounds, resize, crop to spec, or upscale resolution. Re-validate after edits to confirm everything passes, then sync to your ecommerce platform.

Why teams use automated image compliance checking

Acelerar o tempo de lançamento no mercado

Non-compliant images delay listings. When every image is validated against retailer requirements before submission, products go live on schedule instead of sitting in a queue waiting for fixes and resubmissions.

Get a clear view of non-compliant images

Get a breakdown of every non-compliant image in your catalog, what's wrong, and which retailer's requirements it fails. Your team can prioritize fixes instead of manually checking images one by one.

Cut the back-and-forth on image quality

Instead of rounds of review between teams, vendors, and retailers, flag exactly what's wrong and fix it in one place. Issues are specific, actionable, and resolved in the same workflow.

Perguntas frequentes

What image requirements can the compliance checker validate?

The AI validates background color, image dimensions, resolution, aspect ratio, file format, file size, margin requirements, and model/product cropping. You can configure custom rules for each retailer or sales channel.

How does multi-retailer compliance work?

You set up separate rulesets for each retailer. When you run a compliance check, every image is validated against every ruleset it needs to pass. Non-compliant images are flagged with the specific issues so your team can act on them.

Can I fix non-compliant images automatically?

Yes. When the compliance checker flags issues like wrong backgrounds, incorrect dimensions, or low resolution, you can fix them directly within your image library on Hypotenuse AI and re-validate in the same workflow.

What are Amazon's product image requirements?

Amazon requires a pure white background (RGB 255,255,255), minimum 1600px on the longest side (2560px recommended), the product filling at least 85% of the frame, and JPG, PNG, TIFF, or GIF format. Hypotenuse AI validates all of these automatically.

How is this different from manual QA?

Manual QA relies on human reviewers checking images one by one. At scale, across multiple retailers with different requirements, this is slow and inconsistent. Automated compliance checking validates every image against every ruleset instantly with consistent accuracy.

Does this work with my existing systems?

Yes. The compliance checker is part of the Hypotenuse AI platform. Your product images live in the same place as your product data and content, already linked to SKUs. The platform integrates with Shopify, Salsify, Akeneo, Salesforce Commerce Cloud, and NetSuite.