Captions and Beyond Scaling Media Accessibility Audits for Title II Compliance
summary
UC San Francisco faces a compliance backlog and turns 400+ legacy videos into a prioritized punch list by combining a crawl and scrape site scraper, yt-dlp metadata extraction, Siteimprove inventories and the UCSB Digital Asset Inventory module. An aggressive 2025 archiving pass removes outdated pages and broken embeds, cutting remediation scope. Captions are mostly machine-generated then human-reviewed; audio description requires enhanced audio description (paused narration) for many legacy recordings and needs manual review and new CMS fields for non‑synchronized banners and reduced‑motion handling.
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chapters (12)
- 0:00Introduction and speaker background
- 1:25Title II compliance requirements
- 3:11UCSF accessibility audit process
- 7:31PDF remediation challenges
- 10:40Common website accessibility issues
- 15:19Video captioning standards and review
- 20:30Audio description for videos
- 25:28Auditing 400 videos with AI scripts
- 31:06Remediation workflow and tools
- 34:58Future system improvements
- 40:18Ongoing compliance and process integration
- 41:23Q&A on automation and audio description
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