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Local PII Masking

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Item media 4 (screenshot) for Local PII Masking
Item media 1 (screenshot) for Local PII Masking
Item media 1 (screenshot) for Local PII Masking
Item media 2 (screenshot) for Local PII Masking
Item media 3 (screenshot) for Local PII Masking
Item media 4 (screenshot) for Local PII Masking

Overview

Enterprise-grade PII detection and masking - 100% client-side, zero data transmission

Local PII Masking — Redact Sensitive Data Locally 🔒 Your documents never leave your computer. 100% private. 100% offline. ─────────────────────────────────────────────────────────────────────────────────────────── What it does Local PII Masking automatically finds and removes sensitive personal information from your documents — all without sending anything to the cloud. Upload a PDF, Word document, or text file, and the extension instantly detects: • Names, addresses, phone numbers, emails • ID numbers — NRIC/FIN (Singapore), MyKad (Malaysia), Aadhaar (India), HKID, and 60+ other sian ID formats • Credit card numbers (Luhn-validated) • Organizations and locations — detected using AI in both English and Chinese Choose how to mask it — black redaction boxes, tokenization, or partial masking — and downl oad the clean document instantly. DOCX files keep all formatting — tables, images, bold/italic text remain intact; only the s ensitive data gets replaced.

Details

  • Version
    2.3.5
  • Updated
    February 28, 2026
  • Offered by
    jacksonoh
  • Size
    9.51MiB
  • Languages
    English
  • Developer
    Email
    jacksonoh@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Manage extensions and learn how they're being used in your organization
The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

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