Pipeline: TensorFlow.js image prep (optional) → local OCR (Tesseract.js) to locate the 12-digit UID → mask the first 8 digits → optional QR redaction (jsQR + blur/black). PDFs: first page only.
Aadhaar Guard is meant for users who need to redact sensitive identity details before sharing documents or screenshots. The goal is practical privacy hygiene for everyday submission workflows.
Mask the first 8 digits of Aadhaar on images/PDFs in your browser with TensorFlow.js prep + Tesseract OCR, optional QR redaction, VID helper, offline e-Aadhaar QR decode, and UIDAI admin guides — zero upload.
Chief Technical Editor
Aadhaar Guard is meant for users who need to redact sensitive identity details before sharing documents or screenshots. The goal is practical privacy hygiene for everyday submission workflows.
The page helps reduce accidental data leakage by making masking and verification steps explicit.
Use it as a protective preprocessing step before sending files to third parties.
A user must share an identity proof with a service provider and masks non-required fields before exporting a shareable copy.
Targeted redaction lowers exposure risk compared with sending full, unfiltered identity documents.
Redaction workflows are designed for browser-side handling where feasible, minimizing unnecessary data movement.
Always verify masked output manually before sharing, especially near QR codes, MRZ-like areas, or metadata.
Keep an original copy offline and share only purpose-limited redacted versions.
No. It is a privacy utility, not legal counsel.
Yes, users should inspect output carefully before sharing.
Check the export options and validate with downstream tools if metadata stripping is required.
It helps reduce accidental over-sharing, but no tool can eliminate all risk.
Yes, when identity details must be partially concealed.
No sign-up is required.
Longer explanations that complement this calculator—same privacy-first, editorial tone.
Why secure links still need redaction, expiry discipline, and channel separation to avoid accidental exposure.
A straightforward overview of client-side tools, optional Google ads, and how that maps to everyday privacy expectations.
Compare local, in-browser data processing with traditional cloud-based server processing to understand how to keep your personal documents secure.
Compare local, in-browser data processing with traditional cloud-based server processing to understand how to keep your personal documents secure.