academic-pdf-redaction

To anonymize a PDF for blind review, you can automate the redaction of author names, affiliations, and email addresses using pattern matching. This process removes personal data while preserving the document's references.

Yes, automated PDF redaction is designed to preserve self-citations and references. While it removes identifying author details and acknowledgments, the system ensures that citation structures remain intact for the peer review process.

Yes, you can use PyMuPDF for text redaction in academic papers. The redaction process is fully compatible with PyMuPDF for PDF manipulation, allowing you to remove specific text matches and identifiers programmatically.

PDF anonymization is verified by checking that over 80% of the original text remains after redaction. This verification mechanism ensures that only targeted personal information is removed without destroying the document's core content.

You can redact full names, specific phrases, and patterns for venues, identifiers, and acknowledgments from an academic PDF. This targeted pattern matching ensures comprehensive removal of author affiliations and contact details.