Write and Review AI-Assisted Alt Text in 2026

AI can describe visible objects while missing the image's purpose on the page. It may also repeat nearby text, invent identity or overload decorative images with unnecessary narration.

This guide is designed for publishers, designers, developers and content teams. It turns the topic into a reviewable sequence rather than asking readers to trust a provider label, a detector score or a fluent model answer.

Before you start

Write down the exact task, accountable owner, approved data, affected people and the result that would be unacceptable. Use safe representative examples during the first pass. Where health, legal, employment, financial, safety or regulatory obligations may apply, involve a qualified professional and follow the rules that govern your organization.

1. Classify the image

Decide whether it is informative, functional, decorative, an image of text or complex data. The same picture may need different treatment on another page.

Document the decision made during “Classify the image”, the evidence consulted and the person responsible for the next action. That short record helps publishers, designers, developers and content teams distinguish a repeatable control from an informal habit.

2. Provide page context

Give the drafting tool the surrounding heading, caption and intended message. Do not send sensitive images to an unapproved service.

Test “Provide page context” with a normal case and a deliberately difficult case. Record what passed, what required correction and which condition should trigger a human review for publishers, designers, developers and content teams.

3. Write for purpose

Describe essential information or the action of a linked image. Use an empty alt attribute for purely decorative images rather than narrating them.

Assign an owner and completion criterion for “Write for purpose”. If the evidence is missing or contradictory, pause the workflow instead of allowing speed or model confidence to become the approval rule.

4. Handle complex visuals separately

Give charts and diagrams a short identification plus an adjacent long description or data table that communicates essential values and trends.

Keep the input, output version and reviewer note associated with “Handle complex visuals separately” where policy permits. This makes later corrections traceable without retaining unnecessary sensitive data.

5. Review with the page

Check names, numbers, reading order and duplication. Test with images disabled or a screen reader, not only in an isolated text field.

Review this step after material changes to the model, provider, prompt, data source or connected system. A control that worked in one configuration should not be assumed to cover the next one.

Common failure modes and controls

The following table is a pre-launch challenge list. Teams should adapt it to the systems, people and permissions in their real deployment.

What to measure

Do not optimize a single headline number. Measure useful outcomes together with correction effort, critical failures and the human work needed to make the result acceptable.

• images correctly classifiedDefine the numerator, denominator, owner and review period for images correctly classified; compare like-for-like workflow versions.
• meaningful images with reviewed alternativesTrack meaningful images with reviewed alternatives beside correction effort and serious exceptions so a faster result does not hide weaker quality.
• decorative images with null altSample decorative images with null alt by risk level and user group; investigate material changes instead of relying on one aggregate percentage.
• complex visuals with full text equivalentsSet a baseline for complex visuals with full text equivalents, record the intervention and review whether the change remained useful after human verification.

Final review checklist

• Purpose is identified
• Context is provided
• Claims are verified
• Text is concise
• Complex data is available
• Page-level testing is complete