Redact PDF (Privacy Shield) / Sensitive Data Remover
Detect and hide phone numbers, emails, Aadhaar/PAN-style IDs, addresses, and signatures. Runs fully in your browser.
🔍 What it detects
Phone numbers, email IDs, Aadhaar (12-digit), PAN IDs, address lines, and signature markers.
🛡️ How it works
Text is processed locally in your browser. No uploads, no server storage, no tracking.
📄 PDF notes
Text layer is detected first, then OCR runs automatically for scans and images.
Upload a PDF or image. OCR runs automatically for scanned pages.
Blurred output is exported without visible sensitive data.
Preview shows blurred areas. Export keeps the same blur.
Findings
No scan results yet.
Export notes
PDFs export as a new blurred PDF. Images export as blurred PNGs. All processing stays on-device.
How to Redact a PDF Online
Upload Your Document
Select a PDF or image file containing sensitive data. The file is loaded securely in your browser and is never sent to a cloud server.
Scan and Blur
Click "Scan & Blur Sensitive Data". Our on-device AI will detect and redact phone numbers, emails, addresses, and ID numbers.
Download Safely
Review the preview, then securely download your redacted PDF or image. All changes are baked directly into the new file.
Frequently Asked Questions
Q. How does this PDF redactor keep my data safe?
Unlike most online tools, this redactor operates 100% locally within your web browser. Your sensitive files are never uploaded to our servers, ensuring maximum privacy for confidential documents.
Q. What type of data can it automatically detect?
The tool can automatically detect and blur common sensitive information including phone numbers, email addresses, Aadhaar numbers, PAN IDs, and physical addresses.
Q. Can someone remove the redaction?
No. The redaction is permanently baked into the document image structure. When you export a PDF or an Image, the blurred areas completely replace the original text data, making it irreversible.
Q. Does it work on scanned documents or images?
Yes! The tool automatically runs a local, in-browser Optical Character Recognition (OCR) engine on scanned pages and images to find text that isn't digitally selectable.