12+ PII Category Detection
Detect emails, phone numbers, SSNs, credit cards, IPs, dates, URLs, passport numbers, driver's licenses, and more using precision regex patterns.
PII Types
Redact Style
AI / NLP
Detects persons, orgs & locations via on-device model
Input Text
Chars: 0
Words: 0
Lines: 0
Redacted Output
Redacted text will appear here…
PII Found: 0
Replacements: 0
Loading NLP model…
Detected PII
Drop a file here or click to browse
Supports: .txt, .csv, .md, .json, .log, .html, .xml — max 2MB
Redact text first, then view the side-by-side comparison below.
Original
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Redacted
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Run Redact first to generate a detailed PII report.
Capabilities
Everything You Need in a PII Detector
A complete toolkit for detecting, scanning, and removing sensitive personal data from any text.
On-Device NLP / NER
Optionally load a small Transformers.js named-entity recognition model to catch person names, organizations, and location mentions with AI accuracy.
Zero-Server Privacy
All processing runs entirely in your browser. Nothing is ever transmitted to a server — your sensitive data stays completely private.
Real-Time Detection
Get instant PII highlighting as you type. See exactly what data is sensitive before committing to full redaction.
Custom Redaction Styles
Choose from labeled placeholders like [EMAIL], asterisks, fully blanked text, or define your own custom mask string for each redaction.
Detailed PII Report
View a comprehensive report of every PII instance found — its type, original value, and replacement — in a structured, exportable format.
File Upload Support
Upload .txt, .csv, .json, .log, .md, .html, and .xml files. The tool extracts text automatically and runs full PII scanning across the content.
Before / After Comparison
Use the side-by-side diff view to review all changes and verify no sensitive information remains in the redacted version.
Process
How the PII Redactor Works
Four simple steps from raw text to fully scrubbed, privacy-safe output.
1
Paste or Upload Your Text
Enter text directly into the editor, paste from clipboard, or upload a document file. The tool accepts plain text, logs, CSV exports, JSON, and markup formats.
2
Configure Detection Settings
Choose which PII categories to scan for — toggle email, phone, SSN, IP address, credit card, and more independently. Enable the AI NER model for deeper name and location detection.
3
Run Redaction or Highlight Scan
Click Redact PII to replace all matches with your chosen placeholder style, or use Detect Only to visually highlight PII without modifying the text.
4
Copy, Download & Review Report
Copy the clean redacted text to clipboard, download it as a .txt file, and review the full PII report showing every detected instance by type and category.
What Is a PII Redactor Tool?
A PII Redactor Tool is a specialized software utility designed to automatically detect, scan, and remove Personally Identifiable Information (PII) from text documents, logs, datasets, and other written content. PII refers to any data that can be used to identify a specific individual — including names, email addresses, phone numbers, Social Security Numbers (SSN), IP addresses, financial account details, passport numbers, and physical locations. The primary goal of a PII scanner is to help organizations and individuals meet data privacy obligations such as GDPR, HIPAA, CCPA, and PCI-DSS by ensuring sensitive personal data is stripped before sharing or publishing text.
Why Use an Online PII Detector?
Whether you are a developer sanitizing error logs before uploading to GitHub, a data analyst preparing CSV exports for external sharing, a content writer fact-checking documents, or a security professional auditing internal reports, a reliable PII detection tool is indispensable. Manual review is error-prone and time-consuming — a single missed email address or phone number can lead to costly compliance violations. Our free online PII redactor eliminates this risk with instant, automated scanning using both hardened regex patterns and an optional on-device AI Named Entity Recognition (NER) model.
How Does PII Redaction Work?
This PII removal tool uses two complementary detection engines. First, a curated set of precision regular expression patterns covers structured PII: email addresses, US/international phone numbers, Social Security Numbers, IPv4/IPv6 addresses, credit card numbers, dates of birth, passport numbers, driver's licenses, and web URLs. Second, the optional AI NER engine — powered by Transformers.js running entirely in your browser — analyzes linguistic context to detect unstructured PII such as personal names, organization names, and place names that regex cannot reliably catch.
Common PII Redaction Use Cases
Log file sanitization: Server and application logs frequently contain IP addresses, user emails, and authentication tokens. Running them through a PII scrubber before sharing with third-party support ensures compliance. Dataset preparation: Machine learning engineers use PII data masking to anonymize training datasets. Document review: Legal teams and HR professionals redact sensitive employee or client information before distributing reports. Customer support exports: Chat transcripts often contain contact details that must be removed before archiving or analytics processing.
PII Examples This Tool Detects
Examples of PII this tool identifies and redacts include: email addresses ([email protected]), US phone numbers (+1-800-555-0199), Social Security Numbers (123-45-6789), IPv4 addresses (192.168.1.1), credit card numbers (4111 1111 1111 1111), dates of birth (01/15/1990), passport numbers (A12345678), URLs, and via AI: full personal names, company names, and geographic locations.
FAQ
Frequently Asked Questions
A PII Redactor Tool scans text for Personally Identifiable Information such as names, email addresses, phone numbers, SSNs, IP addresses, and credit card numbers, then replaces them with redaction placeholders to protect privacy and ensure data compliance.
Completely safe. This tool runs 100% client-side using JavaScript in your browser. No text, no file content, and no personal data is ever transmitted to any external server. All regex matching and AI inference happens locally on your device.
The tool detects: Email addresses, US & international phone numbers, Social Security Numbers (SSN), IPv4 & IPv6 addresses, credit card numbers (Visa, MC, Amex, Discover), dates of birth, passport numbers, driver's license numbers, URLs, and via the AI NER engine: person names, organization names, and location names.
Yes. You can toggle each PII category on or off individually. You can also choose your redaction style: labeled placeholders (e.g. [EMAIL]), asterisks (e.g. ****), fully blanked, or your own custom mask text.
Named Entity Recognition (NER) is an AI/NLP technique that identifies named entities in text — such as people, organizations, and places — by understanding linguistic context. Unlike regex, NER can detect names like "John Smith" or "Microsoft" that don't follow a fixed pattern. The model loads in your browser via Transformers.js and requires no server connection.
This tool is a helpful aid for data anonymization workflows. However, it is not a certified compliance solution. Always combine automated redaction tools with manual review and consult your legal and data protection officers for full GDPR, HIPAA, or CCPA compliance.
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