Automated vs. Manual PDF Accessibility Remediation: What’s the Difference?
Organizations beginning a PDF accessibility program often assume they need to choose between automated and manual remediation.
A better question is: Which PDF accessibility tasks can be automated, and which still require human expertise?
The answer is usually both. Automation can handle repetitive work at scale, while people provide the judgment required for complex accessibility issues.
What Is Automated PDF Remediation?
Automated PDF accessibility remediation uses technology to identify or correct accessibility issues within a document.
Depending on the document and solution, automation can assist with:
- OCR
- Document tagging
- Heading and structural identification
- Alternative text
- Bookmark creation
- Accessibility checks
- Reporting
Our PAR solution uses Adobe PDF Services APIs to automate the bulk of PDF remediation. PAR can reduce approximately 90% of the effort required to make PDF documents accessible.
This does not mean every PDF becomes fully accessible without review. Automation handles a substantial portion of repetitive remediation and helps identify what remains.
What Is Manual PDF Remediation?
Manual remediation is accessibility work completed by a person with the appropriate expertise.
This can include:
- Correcting tag structure
- Verifying reading order
- Repairing complex tables
- Reviewing alternative text
- Correcting forms
- Reviewing links
- Checking visual presentation
- Performing final quality assurance
Human judgment is particularly important when accessibility depends on the meaning of the content. An automated system may recognize that an image exists, but a person may still need to determine whether the image is decorative, informative or essential to understanding the document.
Where Does Automation Work Best?
Automation is particularly valuable for repetitive work across larger document collections.
PAR can support OCR, structural tagging, AI-generated alternative text, bookmark creation and accessibility reporting. This gives accessibility teams a stronger starting point instead of requiring them to build every document’s accessibility structure manually.
When Is Human Review Important?
Certain accessibility issues are difficult to resolve through automation alone.
Reading order: Complex layouts may require someone to verify that information is presented logically.
Alternative text: AI can generate descriptions, but people may need to confirm that those descriptions communicate the image’s purpose.
Complex tables: Tables with unusual structures or multiple headers can require manual correction.
Forms: Interactive elements may need additional work around labels, fields and navigation.
Quality assurance: The final PDF should receive the appropriate review before publication.
Automated remediation is a strong starting point, but it should not replace final human review where that review is required.
Which Approach Is Better?
For many organizations, the answer is not automated or manual remediation. It is automated and manual remediation.
A practical workflow looks like this:
Automation → Reporting → Human Review → Manual Corrections → Quality Assurance → Publication
Automation handles repeatable work. Human specialists focus their attention where judgment and expertise matter most.
How Does AFTIA PAR Support Both?
PAR Self-Service
Organizations process documents through the PAR environment with training and support from AFTIA.
PAR Blitz
For a defined backlog, PAR Blitz provides a fully managed remediation service for one agreed batch of up to 1,000 PDFs. AFTIA manages intake, remediation, quality assurance, delivery and closeout.
Expert Remediation
More complex documents can receive additional manual remediation from accessibility specialists.
Frequently Asked Questions
Can AI make a PDF accessible automatically?
Automation can complete a significant portion of remediation, but it does not eliminate the need for appropriate review.
Is manual remediation always better?
Not necessarily. Manual expertise is valuable for complex issues, but performing every repetitive task manually can make large-scale remediation difficult.
Can automated remediation help with a large PDF backlog?
Yes. Automation is particularly useful when organizations need to process large volumes of documents more consistently and efficiently.
Find the Right Balance
Automation creates scale. Human expertise provides context and validation.
Bringing the two together allows organizations to reduce repetitive work while maintaining the oversight effective accessibility requires.
That is the approach behind AFTIA PAR: use automation where it makes sense and expert review where it matters.
