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Should you hire staff to manually fix accessibility issues, or automate with Aelira?
Until April 26, 2027 WCAG 2.1 deadline
To manually fix 10 courses (50 hrs each)
For departments with 50+ courses
The math doesn't work. You need automation to meet the deadline.
Reality: Hiring staff or faculty to manually fix accessibility issues
Reality: AI-powered bulk processing with working code fixes
| Feature | Manual Time | Manual Cost | Aelira Time |
|---|---|---|---|
| PDF Remediation (50 pages) OCR, alt text, heading structure, contrast fixes | 10-15 hours Per document | AU$1,125-$1,688 | 2-5 minutes Automated |
| PowerPoint Alt Text (100 images) Write contextual descriptions for each image | 8-12 hours Per presentation | AU$900-$1,350 | 5-10 minutes AI-generated |
| LaTeX MathML Conversion (50 equations) Convert math equations to accessible format | 15-20 hours Extremely tedious | AU$1,688-$2,250 | 1-2 minutes Automated parsing |
| Video Caption Cleanup (10 videos, 1hr each) Fix auto-caption errors, technical terms | 10-15 hours Tedious work | AU$1,125-$1,688 | 10-15 minutes AI cleanup |
| TOTAL (Average Course) | |||
43-62 hours | AU$4,838-$6,976 | 18-32 minutes ~99% time savings | |
10 courses to remediate
Manual: 430-620 hours (AU$48K-$70K)
Aelira: 3-5 hours (AU$2,249/mo)
Savings: AU$47K-$69K
50 courses to remediate
Manual: 2,150-3,100 hours (AU$242K-$349K)
Aelira: 15-27 hours (AU$2,249/mo)
Savings: AU$240K-$348K
200 courses to remediate
Manual: 8,600-12,400 hours (AU$968K-$1.4M)
Aelira: 60-107 hours (AU$2,249/mo)
Savings: AU$967K-$1.4M
There are ~12 months until the April 26, 2027 WCAG 2.1 deadline (extended one year under the April 2026 DOJ Interim Final Rule; the rule's substance is unchanged).
If you have 50 courses to remediate manually (2,150-3,100 hours), you would need:
The manual approach is mathematically impossible at scale.
LaTeX: \int_0^\infty e^{-x^2} dx = \frac{\sqrt{\pi}}{2}
↓ Manual MathML conversion (30+ lines of XML)
Time Savings (per STEM course)
Manual: 15-20 hours × AU$112/hr = AU$1,688-$2,250
Aelira: 1-2 minutes = Included in AU$2,249/mo
A typical STEM faculty concern: a single quantum mechanics course can carry 300+ LaTeX equations. Converting them to accessible MathML by hand can take weeks, and most professors are subject-matter experts, not web developers. They need tooling that handles the conversion for them.
Use Aelira for bulk processing (PDFs, PowerPoints, LaTeX, videos), then manual review for high-touch content (complex diagrams, specialized graphics).
This gives you 90% automation + 10% expert review = best quality at scale.
Based on Aelira's internal estimates using the input assumptions shown above; actual results vary by institution.
Process 50 courses in 15-27 hours instead of 2,150-3,100 hours
Professors focus on teaching, not tedious accessibility work
Meet the April 2027 deadline with time to spare
Try Aelira free for 30 days. See the ROI for yourself. No credit card required.
Join the pilot program preparing for the April 2027 WCAG 2.1 deadline.
Comparisons are based on publicly available information as of August 2026 and reflect Aelira's views. Competitor features and pricing change over time; verify current details with each vendor. This page was authored by Aelira.