Identify alt text issues on your website
Enter your URL below, and Scribely’s Alt Text Checker will scan your webpage for alt text issues and suggest next steps for improvement.
Alt text analysis
Page scanned: www.example.com
Images
0
Errors
0
Alerts
0
Missing Alt Text
Alerts
0
Explanation
Image does not have alt text.
Guidance
Confirm if the image is purely decorative. If it isn’t, add alt text.
Affected Images:
File Name
Errors
0
Explanation
Alt text is a file name instead of an image description.
Guidance
Add alt text that visually describes the image’s content and purpose.
Affected Images:
Matches Nearby Content
Errors
0
Explanation
Alt text duplicates text that is already on the page.
Guidance
Add alt text that visually describes the image’s content and purpose.
Affected Images:
Manual Check
Alerts
0
Explanation
Characters detected in the alt attribute.
Guidance
Manually check to ensure the alt attribute is a visual description of the image’s content and purpose.
Affected Images:
What Is Scribely’s Alt Text Checker?
Scribely’s Alt Text Checker is a tool that scans a webpage to determine if images have alt text.
It functions by analyzing the webpage’s HTML code to locate image tags. Specifically, it verifies whether each image includes a meaningful description in the “alt attribute” (alt text) — the written description required for screen readers and search engines to identify the image's content.
The tool performs the following actions:
Scans URLs: It reads the live code of the webpage link you provide.
Detects Missing Descriptions: It identifies images that have no alt text.
Identifies Weak Descriptions: It flags images that use file names (e.g., image001.jpg) instead of descriptive text.
Generates a Report: It provides a list of all images on the page, categorized by whether they have appropriate text descriptions or need attention.
How the Alt Text Checker Works
Scribely’s Alt Text Checker is designed to give website owners, content teams, and accessibility professionals a quick way to understand whether the images on a webpage meet accessibility best practices. Instead of manually inspecting each image in your site’s code, the tool automatically analyzes the page structure and evaluates the alt text used for every image it finds.
By scanning the HTML of the page you submit, the Alt Text Checker identifies images, reviews their alt attributes, and highlights potential accessibility issues. The results are then organized into clear categories so you can quickly understand where improvements are needed and how to prioritize fixes.
The tool performs the following actions:
Enter Your URL: Start by pasting the web address (URL) of the page you want to check.
The Scan Begins: Once you click Analyze, the tool scans the webpage and identifies every image used on that page. This includes both visible images and images embedded within the page layout.
Alt Text Evaluation: The tool reviews the code for each image and checks the alt attribute. It determines whether alt text exists and whether the description appears meaningful or low quality.
Results Are Grouped: Instead of returning a confusing list, the results are organized into categories so you can quickly see which images need attention.
Guidance for Next Steps: For every issue detected, the tool provides guidance on how to improve the description so the image is accessible and understandable.
Understanding Your Alt Text Checker Results
Once your scan is complete, the Alt Text Checker displays a summary dashboard showing the overall health of the images on your page. These results help you quickly understand how many images were detected and whether any accessibility issues were found.
The results are grouped into clear categories so you can easily prioritize what needs attention. Some issues require immediate fixes, while others simply need a quick human review to confirm that the alt text accurately describes the image.
Total Images
The Images count represents every image file detected on the page. This includes visible images such as product photos or article graphics, as well as images embedded in layouts, icons, or other page elements.
Seeing the full number helps you understand the scale of what the tool scanned and ensures no images are overlooked during accessibility checks.
Errors
Errors indicate confirmed accessibility issues that need immediate attention. These are typically the highest-priority fixes.
In most cases, these occur when images are missing alt text entirely. Without alt text, screen readers cannot interpret the image and search engines cannot understand its content.
Alerts
Alerts indicate potential problems rather than confirmed errors. The tool detects that alt text exists but may be low quality, unclear, or unhelpful. For example, the alt text may contain only a file name, generic placeholder text, or overly long descriptions.
These alerts require a quick human review to confirm whether the description is meaningful.
Result Categories
After scanning, the tool groups images into categories such as:
Missing Alt Text
Images that have no alt attribute in the HTML. These images are invisible to screen readers and should be prioritized for correction.
Manual Check
Images that contain alt text but require human review to confirm that the description accurately reflects the image and provides useful context.
Each category includes thumbnails of the affected images along with guidance on how to resolve the issue.
Common websites to use the Alt Text Checker on include:
E-Commerce Product Pages
To check if product photos have descriptions.
Blog Posts and Article Pages
Provide descriptive metadata to improve search accuracy.
Marketing Landing Pages
To check marketing graphics and logos.
Portfolio Wesite Pages
To check galleries of case studies and work.
Learn More About Writing Alt Text
If you want to dive deeper into writing effective alt text and improving image accessibility across your website, explore these guides from the Scribely Resource Center.

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Image description use cases
Unlock new audiences and strengthen data capabilities.
Accessibility
Make images, videos, and audio knowable to humans.
Discoverability
Provide descriptive metadata to improve search accuracy.
Processability
Create natural language image access for computers and AI.