Quality Assurance and Accessibility for Midjourney Images

An image is not production-ready because it looks good in the generation grid. It must survive full-resolution inspection, real layout, responsive cropping, accessibility review, rights checks, and the factual expectations of its audience.

Inspect Technical Artifacts

View the image at 100% and thumbnail size. Check hands, faces, teeth, eyes, repeated objects, reflections, shadows, connectors, architecture, product geometry, and text-like marks. Review all edges for accidental crops and tangent lines.

Compare the output with reference facts. A product may gain ports; a uniform may acquire a false logo; a diagram may imply a connection that does not exist.

Test the Actual Layout

Place the image in desktop, tablet, and mobile designs with real copy. Check focal point, safe areas, overlay contrast, and whether an important subject is lost in crop. Negative space in the source image may disappear at a different aspect ratio.

Do not use an image as the only way to communicate essential text or status.

Review Meaning and Representation

Ask what the image implies about people, places, work, technology, and power. Look for stereotypes, token representation, culturally inappropriate symbols, and synthetic scenes that could be mistaken for documentary evidence.

Obtain consent and appropriate review for identifiable people. Avoid generating lookalikes or depicting people in sensitive contexts without authorization.

Write Useful Alt Text

Alt text depends on purpose. Describe information the image contributes in the page context, not every decorative detail. If the image is purely decorative, use the implementation's empty-alt treatment. If it is a chart or diagram, provide the underlying conclusion and accessible data elsewhere.

Example:

Illustration of a support agent comparing two source documents while an AI
draft highlights conflicting policy dates.

Do not begin with “image of.” Do not identify traits or emotions that are not necessary and clearly supported.

Check Rights and Provenance

Record prompt, model version, reference assets and permissions, creation date, edits, and final usages. Review logos, copyrighted characters, trademark confusion, and platform or jurisdictional disclosure requirements.

Midjourney's version documentation should be checked because model behavior changes; important campaign workflows need regression review after an update.

Run a Release Checklist

• The image supports the actual message.
• Factual details and product attributes are verified.
• Full-size artifacts are resolved.
• Responsive crops preserve meaning.
• Text contrast and interface readability meet requirements.
• Alt treatment matches the image's purpose.
• Representation and sensitive contexts are approved.
• References and rights are documented.
• Synthetic media is not presented deceptively.

Quality assurance turns generation into publishing. The final standard is not what the model produced; it is what the audience receives and understands.

Test With Different Users and Displays

Review images in light and dark interfaces, on low-resolution screens, at high zoom, and with browser text enlarged. Test responsive crops at actual breakpoints. Where an image contains meaningful text or data, ensure the equivalent information is available as real text in reading order.

Ask reviewers who were not involved in generation what they believe the image depicts. Misinterpretation may reveal an ambiguous metaphor, an unintended stereotype, or a focal point that disappears outside the art director's context.

Create Defect Severity Rules

Classify issues as blocking, major, or minor. Misleading product geometry, unauthorized likeness, exposed private information, false documentary implication, and inaccessible essential information are blockers. A small background artifact may be minor unless it damages trust at target size.

Record the resolution: regenerate, edit, replace, change crop, revise surrounding copy, or remove the image. Recheck the final exported asset, not only the working file.

Build an Asset Record

Store asset ID, campaign, owner, prompt archive, model version, reference rights, reviewer, approval date, alt-text decision, known restrictions, and expiration. Link derivatives to the master so a rights or factual correction reaches every crop.

When an image is replaced, check caches, social previews, email templates, downloadable files, and translated pages. Removing it from the current webpage may not remove all published copies.

Review high-traffic evergreen assets after a major model, brand, product, or accessibility change. An approved image can become misleading when the product interface or public context changes.