AI Image Description for Accessibility How Computer Vision Helps Visually Impaired Users Understand Images on the Web

A visually impaired user visits a website. The site has 12 images. Each image has a screen reader description. The descriptions are: "image1.jpg," "image2.jpg," "image3.jpg." The screen reader reads the filenames. The user hears "image1.jpg" and has no idea what the image shows. The image is a barrier — not an enhancement. Over 90% of images on the web lack meaningful alt text. For visually impaired users, these images are invisible. An AI image description tool generates alt text for every image — making the web accessible at scale.

How AI Generates Image Descriptions for Accessibility

The AI analyzes the image using computer vision: it identifies objects (a dog, a tree, a person), actions (running, sitting, smiling), and context (a park, a kitchen, a beach). It generates a natural language description: "A golden retriever running across a grassy field with a red ball in its mouth." The description is accurate for common scenes. It is less accurate for complex scenes, abstract art, or images with multiple overlapping elements. The AI-generated description is a starting point. The human reviewer verifies accuracy and adds context that the AI missed. The text-to-speech tool reads the description aloud to the user. The combination of AI image description and human verification makes images accessible. The web becomes usable for everyone. The AI image description tool is the bridge between the visual web and the visually impaired user. The human reviewer is the quality check. Together, they make the web accessible.