AI Automation
Image ALT Tags at Scale
Tagging 100,000 images in days — not the years it would have taken manually.
100k+
images tagged automatically
WCAG 2.1
Level AA compliance achieved
Days
to complete a years-long backlog
The Challenge
Big Publisher had a library of over 100,000 images with missing or poorly written ALT tags. This was a significant accessibility issue (failing WCAG 2.1 guidelines) and a missed SEO opportunity. Manually tagging this backlog would have taken thousands of hours.
Our Approach
We built an automated pipeline that uses computer vision (GPT-4 Vision) to analyse each image and generate contextually accurate, SEO-optimised ALT text. The system processes images in bulk, stores results, and updates the CMS automatically. A confidence scoring system flags low-confidence tags for human review.
Key Results
100,000+ images tagged automatically within days
Full WCAG 2.1 Level AA accessibility compliance achieved
Measurable improvement in image search rankings
Ongoing pipeline handles all new image uploads automatically
Significant reduction in manual accessibility audit costs
Technologies Used
Your Business
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