How to Check If Important Info Is Trapped Inside Images on Your Site

By: Editorial team | Updated: October 15, 2026

If a customer needs to zoom in on a screenshot to find your price, eligibility rule, or application requirement, that information may be difficult for people—and search systems—to use. The same problem can occur when a search engine or an AI-powered search tool cannot reliably read the words inside an image.

This guide shows how to find important image text, check whether it is available in the page itself, and fix gaps without treating every graphic as a search problem. The goal is simple: help people get a clear answer, whether they arrive through a traditional search result, an AI-powered search experience, or a screen reader.

What does it mean for information to be trapped in an image?

Information is trapped when someone must interpret a visual file to get a fact that is not also available as accessible, selectable text on the page. Common examples include a rate table saved as a PNG, a list of required application documents embedded in a flyer, or a policy exclusion written into an infographic.

Images are useful. A diagram can explain a complicated process more clearly than several paragraphs, and a chart can make a comparison easier to scan. The risk comes when the image is the only place a meaningful fact appears. A visitor may not be able to read it, copy it, translate it, search within it, or understand it with assistive technology.

Search crawlers sometimes use image recognition or optical character recognition (OCR) to interpret text in images. Their results can vary with image quality, layout, font, contrast, and context. That makes OCR a useful extra path—not a dependable replacement for publishing important information as text.

Why this matters for search and accessibility

Traditional rankings and AI-powered search do different jobs

Traditional search engines primarily organize pages and other results in response to a query. They may evaluate a page’s topic, links, technical accessibility, and usefulness, then decide whether to show it. An image containing a phrase might be recognized, but the surrounding page still needs to explain what the phrase means.

AI-powered search can go a step further by using large language models (LLMs) to form a response from information it can retrieve and interpret. If a critical eligibility condition exists only in an image, a system may miss it, misunderstand it, or leave it out of a generated answer. That does not mean putting words in HTML guarantees a mention. It does make those words easier to retrieve, interpret, quote, and verify.

Neither traditional rankings nor AI answers are controlled by one page element. Relevance, credibility, and consistency all matter. A page should answer the actual question, provide enough context to support its claims, and agree with related information elsewhere on the site. Clear text helps with all three.

Accessibility is part of the same problem

Screen readers do not necessarily read the words inside an image. Alternative text can describe an image for someone who cannot see it, but it is usually not the right place for a long price list, a full paragraph, or detailed terms. Put that material in the page’s text and use alt text to describe the image’s purpose. For example, alt text might identify a chart as a comparison of cover options, while an HTML table provides the actual comparisons.

Start with the questions customers actually ask

Before auditing images, list the decisions people are trying to make. Good sources include support tickets, sales calls, search queries, and questions that repeatedly come up during an application. This keeps the audit focused on useful answers instead startnewswire.com of the number of images on a site.

For a financial services company, common questions might include:

• What does business insurance cover, and what is excluded?
• What information does a business need before applying for commercial lending?
• How does business interruption insurance work if trading stops after an insured event?
• What cover might a small consultancy need?
• Which application documents are required, and what file formats are accepted?

Check whether the answers appear in selectable page text or only in an image, downloadable graphic, or screenshot. Prioritize information that affects a customer’s decision, eligibility, cost, risk, or next step. A decorative banner usually matters less than an image-only application checklist.

A practical audit for image text

1. Make an inventory of pages that carry important information

   Start with product, pricing, eligibility, application, claims, and help pages. Include downloadable PDFs and frequently shared campaign pages if they answer customer questions. A site crawler can help list image files and page locations, but a list of files is only a starting point; it cannot tell you whether an image contains a critical answer.

2. Look for text-heavy visuals

   Review infographics, charts, screenshots, product cards, scanned documents, and images that resemble flyers or brochures. Ask: if this image vanished, would a customer lose a fact they need? If yes, locate that fact in the page’s HTML or another accessible format.

3. Check whether the words are selectable

   Try to select and copy a phrase from the page. If you can select the page heading but not the wording in a graphic, the graphic may be the only source. This check is quick, though it is not a complete technical audit: text can also be hidden behind scripts, rendered in a canvas, or present in a poorly structured document.

4. Compare the image with the rendered page

   Use your browser’s developer tools or a site crawler that extracts page text. Search the rendered content for the key phrase shown in the image. Compare the result with what a visitor sees. If the price, exception, or requirement is missing from the extracted body, do not assume a crawler will infer it from the graphic.

5. Use OCR as a discovery aid

   OCR tools can extract likely words from image files and help you find content worth reviewing. Compare the OCR output with the original: OCR can confuse characters, skip footnotes, or misread columns and symbols. Treat its output as a clue, not as proof that the information is accurate or accessible.

6. Test the page with assistive technology

   Check that a screen reader can reach the important information in a sensible order. Confirm that meaningful images have useful alt text, decorative images are not announced unnecessarily, and any data in a chart also appears in text or a table. When possible, include people who use assistive technology in testing rather than relying on automated checks alone.

7. Record the issue and its owner

   For each finding, note the page URL, the image, the missing fact, the customer question it answers, and who can update it. Also record a review date. This turns an audit into a manageable publishing task rather than a list of technical warnings.

A quick way to prioritize findings

Image content Risk if it is image-only Recommended action Decorative illustration Usually low, if it adds no information Use appropriate alt text or mark it decorative. Chart or comparison Visitors may miss the values or relationships Provide a text summary and an accessible data table when useful. Eligibility, exclusions, or application requirements High; a customer may make a poor decision or abandon a task Publish the details as clear page text and keep the image in a supporting role. Price or rate information High if the page appears to answer a cost question but the price is absent from its text Put the price and its conditions in the article body, with a visible date and context.

The pricing mistake that can make a page less useful

A common mistake is to show a price in an image while leaving no pricing information in the scraped article body. A visitor may see a rate card, but a text extraction tool may return an article that contains no price at all. An AI-powered search system may then summarize the page without the cost, or fail to use it as an answer to a pricing question.

Put the price in the page’s text as well as in the graphic. Include the relevant context: what the price covers, who it applies to, whether it is an example or a quote, what assumptions affect it, and when it was last checked. Avoid presenting an indicative rate as a universal offer. In regulated or changing markets, make the limitations and route to a current quote easy to find.

For example, if a business insurance page uses an image to show a starting premium, the article body should explain the basis for that figure and direct the reader to the appropriate quote process. If commercial lending costs depend on an application, say which factors may affect the terms rather than implying a fixed rate. Clear text is more useful to people and gives crawlers less room to misinterpret the graphic.

Make the page answer the full question

Adding a sentence under an image is not enough if it leaves out the information a customer needs to act. Build the page around the question, then use visuals to clarify the answer. A useful page on application documents, for instance, might list each document, explain why it is requested, describe acceptable formats, and say what to do if a document is unavailable.

This question-led approach helps the page stay relevant. It also makes it easier to check whether an answer is complete: can a reader understand the main point without decoding a graphic or opening several unrelated pages? For a complex topic, use headings that reflect distinct questions, such as “What is covered?”, “What affects the cost?” and “What documents will I need?”

Keep information consistent across the article, image, application form, and related product pages. If the graphic says one thing and the body says another, customers lose trust and automated systems have conflicting material to interpret. Assign an owner to update all versions when terms change.

Credibility needs a human source

Search systems can use many signals when assessing a page, but a useful editorial foundation is straightforward: show who created or reviewed the information, when it was checked, and how a reader can contact the organization. A real author or qualified reviewer can help establish accountability, especially for financial topics. Do not add a credential that the person does not have.

First-hand experience also matters. Explain how a process works in practice, what customers commonly misunderstand, or which details applicants should prepare before starting. Keep that guidance specific and distinguish general information from individual advice. A publication date, a review date, and a working contact path give readers a way to judge whether the content is current and to raise a correction.

These signals do not guarantee rankings or inclusion in an AI answer. They do make the page easier to trust and maintain. Combined with direct answers, accessible text, and consistent details, they support relevance and credibility for both people and search systems.

Use this final check before publishing

• Can a reader find the main answer without relying on text inside an image?
• Are prices, eligibility conditions, exclusions, and required documents present in the article body where relevant?
• Does the text explain what a chart or infographic means, rather than merely pointing to it?
• Does each meaningful image have useful alt text, without turning alt text into a substitute for the full content?
• Do the page, image, and related application materials agree?
• Is the author or reviewer identified, is there a current date, and can readers reach a real contact point?

Images can make important information easier to understand, but they should not be the only place that information lives. Audit the pages that answer high-stakes customer questions, verify what crawlers can extract, and move essential facts into accessible page text. That gives people a clearer experience and gives traditional search and AI-powered search systems a more reliable account of what your page actually says.