Remediate PDFs to WCAG 2.2, automatically

You upload a PDF to EqualWeb's AI Auto-Remediation and the engine remediates the document in one pass: it builds the tag tree where none exists, sets heading levels, table headers, image alt text, lists and a logical reading order, repairs font embedding and text encoding so screen readers speak the real text, corrects color contrast, and sets the document language, title and metadata - aligned to WCAG 2.2 and PDF/UA. The output is a tagged, accessible PDF you download, together with a Checker report and an accessibility score showing what was fixed.

EqualWeb's AI Auto-Remediation adds the semantic structure assistive technology needs - heading levels, a corrected logical reading order, table markup with row and column headers, properly structured lists, descriptive link tagging, AI-generated alternative text for images and tagged form fields - and then goes below the surface: font embedding and Unicode repair so text is read aloud correctly and stays searchable, WCAG AA color contrast, navigation bookmarks, and document metadata such as title and language. Accessible PDFs are about structure rather than looks, and this is the layer screen readers read.

EqualWeb's AI Auto-Remediation accepts batch uploads of up to 1,000 PDFs in a single job. You can drag and drop files, browse, or upload from a URL, and the system flags scanned, image-only documents automatically, running an extra OCR step that handles files up to 400 pages. Every file in the batch is tagged and comes back with its own accessibility score and Checker report.

EqualWeb's automatic AI tagging is currently optimized for English and Latin-script languages. PDFs in other languages can be uploaded, but automated tagging support may be limited. For documents the AI cannot fully handle, EqualWeb's IAAP/CPWA-certified experts can remediate the file by hand through Expert Manual Remediation and verify it with real screen readers.

Yes. Every file processed by EqualWeb's AI Auto-Remediation can be sent on to certified experts using the Upgrade to Manual option in the dashboard. IAAP and CPWA-certified accessibility specialists then review and re-tag the document by hand, delivering a higher-quality, human-verified remediation. Use it when an AI-remediated file needs deeper quality work or formal verification.

No - never. EqualWeb does not train or fine-tune AI models on client documents, and does not retain documents, text fragments or images for training. Most structural fixes are performed by EqualWeb's own deterministic remediation engine; AI is applied only at defined points, such as image descriptions and form labels, under minimal-exposure rules. File retention is under your control - 0, 90, 360 days or never - and the Security and Data Privacy page details the full commitments.