alt-text-generator

Analyze image types and context to generate accessible alt text.

Updated May 19, 2026
One-click install
npx skills add https://github.com/lord-vinayak/orive-reqcap --skill alt-text-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alt-text-generator
Source: https://github.com/lord-vinayak/orive-reqcap/tree/main/.claude/skills/audit/alt-text-generator_
Command: npx skills add https://github.com/lord-vinayak/orive-reqcap --skill alt-text-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-api, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The challenge of providing meaningful, accessible, and accurate descriptions for images for screen readers and other assistive technologies is a complex task for both humans and machines. This Skill streamlines and elevates the process, offering context-aware solutions tailored to various image types and scenarios.

Core Features & Use Cases

  • Image Classification: Identify decorative, informative, functional, complex, or text-in-image image types to generate the right type of alt text.
  • Contextual Description: Offer guidelines to craft descriptions based on image context, purpose, and audience, enhancing the overall experience.
  • Use Case: When dealing with an e-commerce site that needs accessible images, use the alt-text-generator to provide detailed, product-focused alt text that informs potential buyers without being misleading.

Quick Start

Analyze and generate the appropriate alt text for this complex data visualization by first determining the type and purpose, gathering context, and writing to that context. Then use the "analyze and generate alt text for 'image_description.jpg'" command.

Frequently Asked Questions about alt-text-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate context-aware alt text for web accessibility?

Generate context-aware alt text by analyzing image types, surrounding information, and purpose to create accurate descriptions for screen readers. This approach classifies images as decorative, informative, or functional to tailor the output for specific web accessibility scenarios.

What is the best way to write alt text for e-commerce product images?

Writing alt text for e-commerce product images involves identifying the image purpose and audience to provide detailed, product-focused descriptions. This ensures potential buyers using screen readers receive informative context without misleading details about the product.

How does AI-powered image classification handle decorative versus functional images?

AI-powered image classification handles decorative versus functional images by analyzing the image type and its surrounding context. It identifies whether an image is decorative, informative, complex, or contains text, then generates purposeful alt text tailored to that specific category.

Can I use OpenAI API to automate alt text generation for educational materials?

You can automate alt text generation for educational materials using the OpenAI API. The process analyzes complex images and data visualizations, determining their type and purpose to produce accurate, contextually relevant descriptions for educational content accessibility.

When should I not use automated alt text generation for complex data visualizations?

You should not use automated alt text generation for complex data visualizations when the surrounding context is missing or insufficient. Accurate alt text requires gathering contextual information first; without it, the generated descriptions may fail to convey the visualization's true purpose and data insights.

Does this alt text generator work for mobile app accessibility?

Yes, this alt text generator works for mobile app accessibility by analyzing image context and purpose across platforms. It targets use cases requiring accessible image descriptions for websites, apps, e-commerce, and educational materials, improving the screen reader experience for mobile users.