Automated PDF Remediation.
Clear Document Limits.
Submit a PDF up to 25 pages and 25 MB. The pipeline uses structural repairs, OCR, and AI analysis as needed, then validates machine-testable PDF/UA criteria. Documents may still require human review.
The 6-Stage Remediation Pipeline
Quick Fix
Repairs document metadata, language tags, structure tree, and PDF/UA identifiers. Handles the most common compliance failures — missing titles, incorrect role mappings, broken tag hierarchies — without altering page content.
OCR Remediation
Extracts text from scanned or image-heavy PDFs using optical character recognition, then rebuilds the document with a proper structure tree, tagged content, and reading order. Turns flat images into searchable, screen-reader-accessible documents.
Vision AI Analysis
When structural repairs aren’t enough, a vision model analyzes each page visually — understanding headings, tables, lists, and reading flow from the rendered layout. Generates a semantic structure informed by what a human reader would see, not just what the file’s byte stream contains.
Structure Rebuild
For documents with deeply corrupted tag trees, the structure is linearized and rebuilt from scratch. Content is re-extracted, re-tagged, and re-validated, preserving the original appearance while replacing the accessibility layer entirely.
Strip & Rebuild
The most aggressive structural fix. All existing markup, annotations, and metadata are stripped to raw content streams, then rebuilt with a clean structure tree, proper artifact wrapping, and Section 508 validation evidence — effectively a fresh accessibility pass on the original visual content.
Render & Rebuild
The last resort for documents that resist all other strategies. Each page is rendered to a high-fidelity image, then OCR and vision AI reconstruct the document from pixels up — new text layer, new structure, new metadata. Review the rebuilt file against the original before publishing; reconstruction can change the document.
Adaptive Escalation, Not Brute Force
The system checks automated PDF/UA validation results after remediation attempts. Remaining failures can trigger another useful strategy or a review flag. Passing automated checks does not resolve every accessibility judgment.
Clause-Targeted Refinement
After initial remediation, remaining failures are analyzed by specific PDF/UA clause. The system generates targeted fixes for each individual violation, re-validates, and iterates until Section 508 verification passes or the document is flagged for human review.
Further attempts can target the validation failures that remain. The result includes machine-testable evidence; content meaning, reading order, and other judgment calls may still need a person.
What You Get Back
.zip Archive or Individual Downloads
Download completed documents individually or through the dashboard’s bulk archive. Review the result alongside the original before publishing; rebuild strategies can change layout.
Compliance Verification Reports
Completed documents include automated validation evidence for machine-testable PDF/UA criteria. Human review remains separate from this evidence.
Ongoing Monitoring
The active annual platform plan supports scheduled website rescans to identify new content and regressions. Choose eligible documents for remediation within your available allowance.
All six strategies — including OCR, AI vision analysis, and full page rendering — are built into one platform. The Agent uses deeper strategies only when validation evidence shows they are useful.
A Defined Document Allowance
Automated veraPDF validation supplies machine-testable evidence. Larger files require a separate per-document quote before processing; human remediation is separate.
Ready to Make Your PDFs Accessible?
Try one PDF free, up to 25 pages and 25 MB, with email verification before processing. The uploader previews a document; website discovery and monitoring require the annual platform plan.