Pairvu AI product image checker

AI Product Image Checker: Did AI Change Your Product?

Quality control for AI product photography.

Pairvu compares a real or approved reference image with an AI-generated, edited, or candidate image. The AI product image checker reviews visible identity text, logo, color, quantity, components, and packaging shape.

Your first check

Use two views that make the same product details observable

  1. 1. Approved originalUse the product image you trust.
  2. 2. CandidateAdd the generated, edited, or proposed image.
  3. 3. VerdictReview PASS, REVIEW, or FAIL with visible evidence.

For the clearest result, show the complete product, readable label text, and the corresponding package face where possible. A hidden detail should produce REVIEW, not proof of a product change.

Anonymous images are kept for up to 24 hours. Signed-in images follow the retention period shown in your account (7 days on Free). Images are sent to OpenAI only to perform this check and are not added to our evaluation set. Privacy details

Controlled comparison examples

See PASS, REVIEW, and FAIL before your first check

These are controlled examples, not customer case studies or statistical performance claims.

View all examples
FAILScent and sheet count changedFRESH LINEN 30 SHEETS became UNSCENTED 20 SHEETS.PASSBackground changed, product matchedThe approved carton moved into a laundry-room setting without a product change.REVIEWFront details could not be verifiedThe candidate shows the back, so front logo, scent, and count need review.

See a real product edit too: One Coca-Cola can background edit received REVIEW. This single local run is not an accuracy estimate.

Need the complete test design? Review the Pairvu Controlled Visual QA Benchmark.

Reference-based visual QA

Check the product, not just the picture

Pairvu compares an AI-generated or edited product image with an approved original. It looks for visible changes that can make a product image inaccurate before the image is published.

  1. 1Add the approved original

    Use a clear image that represents the product you intend to show.

  2. 2Add the image to check

    Upload the generated, edited, or otherwise proposed product image.

  3. 3Review visible differences

    Get a PASS, REVIEW, or FAIL with evidence and observability limits.

Product fidelity checks

What Pairvu checks

What cannot be verified

Occlusion, unreadable text, incomplete coverage, and viewpoint differences are kept in review.

AI product photography

Create faster without losing product truth

AI can change a scene quickly, but it can also alter a label, logo, color, count, component, or package. Pairvu adds a reference-based quality-control step between image creation and publishing.

Learn about quality control for AI product photography

Learn from real failure modes

Build a safer pre-publish workflow

Comparison examplesSee the visible changes Pairvu is designed to catch.Product checksUse Pairvu's evidence rules for logo, text, quantity, color, components, packaging, and observability.Product categoriesReview category-specific risks across the five supported packaged-goods families.Pre-publish checklistReview product fidelity before an image goes live.How Pairvu worksUnderstand the comparison method, verdicts, and visible-evidence limits.Use casesFit Pairvu into brand, creative, and commerce workflows.

Common questions

About the checker

Does Pairvu generate product images?

No. Pairvu checks an existing candidate image against an approved original.

Does a PASS guarantee marketplace approval?

No. A PASS means the supported, sufficiently visible product checks matched. Marketplace, regulatory, and legal decisions remain outside Pairvu.

What happens when a detail is hidden or unreadable?

Pairvu should return REVIEW or a limitation for that detail rather than treating non-visibility as proof that the product matches.