What do Fidelity Raters score?
They score product fidelity: whether a generated visual still accurately represents the reference product, checking logos, buttons, and patterns in fashion, or ingredients, portions, and packaging in food.
Fidelity Raters
Catch product inaccuracies before they reach your customers
Looking good and being right aren't the same thing, so Fidelity Raters score every output against your reference image, checking logos, buttons, and patterns in fashion, or ingredients, portions, and packaging in food.
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How Fidelity Raters work
Looking right isn’t the same as being right
A generated image can look clean and still miss the product. Fidelity Raters score it against your reference image and your category's model, so a pass means it's actually right
Step 1
Read the reference product
Identifies the details in your original product image that need to stay consistent in the generated visual.
Step 2
Check category-specific details
Fashion Rater looks at details like color, patterns, logos and buttons, while Food Rater checks ingredients, portions and packaging.
Step 3
Score product fidelity
Every output receives a fidelity score based on how accurately it represents the original product.
Step 4
Pass, fix or review
Outputs above your threshold move forward. Anything below it can automatically go to Visual Fix for another attempt, or be isolated for manual review.
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Fashion rater: Keep every garment true to the original
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Food Rater: Make generated food look good without changing what’s being sold
Is Fidelity Raters right for your team?
Fidelity Raters fits in wherever AI is creating or editing product visuals for fashion or food, and a wrong detail isn't just an aesthetic miss, it's a product that no longer matches what you're selling.
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Teams generating or editing product visuals at scale
If AI is creating or transforming fashion or food images across your catalog, the risk isn't a bad-looking output, it's a good-looking one that's quietly wrong: a changed logo, a swapped ingredient, a different portion size. Fidelity Raters catch that before it reaches your customers.
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Teams eyeballing AI output before it publishes
If someone on your team still checks AI-edited images by hand to confirm the product itself didn't change, Fidelity Raters automate that check, so review time goes to the outputs that actually need a person, not every single one.
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Teams with catalog-specific accuracy rules
If your brand needs certain overlays, labels, or packaging details treated differently from a generic ruleset, Fidelity Raters can be tuned to your requirements instead of flagging what you actually want kept.
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