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PDF Remediation Pain Point

"PDF Remediation Takes Forever"

"PDFs are a proverbial tool of Satan and not to use them. But we have thousands of PDF course materials already created."

— IT Director, r/highereducation (31 upvotes)

Manual PDF remediation takes 10+ hours per document. Here's how to speed it up 10x with AI automation.

10-15 hours

Manual remediation per PDF (typical)

1-2 hours

With Aelira AI automation (90% faster)

Why PDF Remediation Is So Slow

1. Scanned Images (No OCR)

Many PDFs are just scanned images. Text isn't selectable, searchable, or accessible to screen readers.

Manual fix: Retype all text, or run OCR and manually correct errors (5-8 hours per document)

2. No Document Structure

PDFs lack semantic headings (H1, H2, H3). Screen readers can't navigate the document.

Manual fix: Manually tag every heading, paragraph, list, table (3-4 hours per document)

3. Missing Alt Text on Images

Images, charts, and diagrams have no descriptions. Blind students can't understand visual content.

Manual fix: Write descriptive alt text for every image (2-3 hours per document)

4. Tables Without Structure

Data tables need header rows/columns tagged for screen reader navigation.

Manual fix: Tag table headers, scope attributes (1-2 hours per document)

Total Manual Remediation Time

OCR + error correction: 5-8 hours

Structure tagging: 3-4 hours

Alt text for images: 2-3 hours

Table structure: 1-2 hours

11-17 hours per PDF (average)

× 100 PDFs per course = 1,100-1,700 hours of work

How Aelira Speeds This Up 10x

1. Automatic OCR

Tesseract 5.5.0 at 300 DPI extracts all text from scanned PDFs automatically.

Time saved: 5-8 hours 5 seconds

2. AI Structure Detection

Heuristics + AI detect headings, paragraphs, lists, and generate semantic tags.

Time saved: 3-4 hours 30 seconds

3. Batch Alt Text Generation

AI analyzes all images and generates context-aware alt text descriptions.

Time saved: 2-3 hours 1-2 minutes

4. One-Click Export

Export accessible HTML with all structure, alt text, and ARIA labels ready.

Time saved: 1-2 hours 10 seconds

Total Time with Aelira

Automated processing: ~5 seconds

Review AI-generated content: 30-60 minutes

Manual fixes (edge cases): 30-60 minutes

1-2 hours per PDF (average)

× 100 PDFs per course = 100-200 hours of work

Save 1,000+ hours per course

Real Example: Large University History Department

Manual Remediation

  • Files: 850 PDFs (lecture notes, syllabi, readings)
  • Time per PDF: 12 hours average
  • Total time: 10,200 hours
  • Cost (at $75/hr): $765,000
  • Completion: 14 months (with 3 FTE staff)

Misses April 2026 deadline by 10 months.

With Aelira

  • Files: 850 PDFs (same workload)
  • Time per PDF: 1.5 hours average
  • Total time: 1,275 hours
  • Cost: $11,988/year (software) + $95,625 (labor)
  • Completion: 2 months (with 1 FTE staff)

Meets April 2026 deadline with time to spare.

Total Savings

Time Saved

8,925 hours

Money Saved

$657K

Faster Completion

12 months

Stop Spending 10+ Hours Per PDF

Automate 90% of PDF remediation work with Aelira AI.

Education Pricing

$999/mo

Process unlimited PDFs · Unlimited users

View Full Pricing

30-day free trial · Process up to 10 PDFs free

See PDF Automation Demo

Watch Aelira process a 50-page scanned PDF in under 5 seconds. Join 500+ universities preparing for April 2026.

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