If you’re working in the public sector (or with public sector customers), accessibility isn’t optional.
WCAG standards from the World Wide Web Consortium underpin many government accessibility regulations, and that includes requirements like:
For many teams using Confluence from Atlassian as their central knowledge base, the real risk isn’t written content - it’s visual content at scale.
Policies, process flows, screenshots, architecture diagrams… they’re everywhere, no matter the team. It could be an organogram, a wireframe or technical documentation.
But:
Accessibility discussions across the community here regularly surface the same tension: teams want to be compliant, but they don’t have the bandwidth to audit and caption hundreds (or thousands) of images.
This is where the arrival of Rovo becomes even more interesting.
Rovo is designed to bring AI directly into how teams work inside Atlassian. Captionizer operates as a Rovo agent, meaning accessibility support happens in context, inside Confluence.
Instead of:
Captionizer (by AppFox) uses AI to generate context-aware captions for visual content directly within Confluence, and all for free.
That means:
It’s not about replacing human judgement. It’s about making accessibility manageable with reliable shortcuts, in real-world environments.
Are you thinking about accessibility governance in Confluence? Or does a lot of your work take place in regulated environments?
👉 Read the full breakdown on WCAG compliance here
👉 Or explore Captionizer on the Atlassian Marketplace here