Local detection
The app analyzes your PDF locally with a privacy-first approach, identifying possible sensitive data such as names, emails, addresses, IDs, account numbers, phone numbers, and other confidential details.
PDFCensor helps you detect personal, financial, or confidential information in PDF files, review it with your approval, and permanently remove it from the document and metadata without sending your files to a remote server.
PDFCensor is designed for professionals, teams, and individuals who need to review and sanitize sensitive content inside PDF files before sharing, publishing, or archiving them.
The app analyzes your PDF locally with a privacy-first approach, identifying possible sensitive data such as names, emails, addresses, IDs, account numbers, phone numbers, and other confidential details.
Review detected items before applying changes. You stay in control: confirm what should be blurred, removed, or left untouched.
PDFCensor can help remove hidden metadata and embedded information from the document so sensitive details are not left behind in file properties or document history.
The workflow is simple, transparent, and intentionally designed to keep your files on your device.
Choose the PDF document you want to review and secure.
The app inspects the document with a local AI model to detect likely sensitive content.
Check each flagged item and decide what to redact manually or automatically.
Save a protected PDF with redactions and metadata cleaned up for sharing or storage.
Review, sanitize, and share PDFs with greater confidence.