Data Redactor - Secure Data Redaction Tool

Pattern Detection JSON Editor Output Format Pattern Validation

Built-in Patterns

Input Text

Redacted Output

Configuration Editor

Edit your redaction configuration directly as JSON

🔒 Configurations are stored in browser memory only. No data is sent to any server.

Configuration JSON

📖 Configuration Guide

1. Enable/Disable Built-in Patterns

Toggle detection for specific data types:

"patterns": {
  "email": { "enabled": true, "strategy": "token" },
  "phone": { "enabled": false }
}

2. Choose Redaction Strategy

token → john@email.com becomes [EMAIL_1]

mask → john@email.com becomes **************

formatPreserving → john@email.com becomes xxxx@xxxxx.xxx

3. Add Custom Patterns

Create patterns for your specific data formats:

"patterns": {
  "custom": [
    {
      "name": "ticketId",
      "regex": "TICKET-\\d{5}",
      "strategy": "token",
      "sampleValue": "TICKET-12345"
    }
  ]
}

name What to call this pattern

regex Pattern to match (use \\\\ for backslashes)

strategy How to redact: token, mask, or formatPreserving

sampleValue Example for testing (optional)

4. Custom Entity Lists

Add specific names or terms to always redact:

"customEntities": {
  "companyNames": ["Acme Corp", "My Company Inc"],
  "customerNames": ["John Doe", "Jane Smith"]
}

5. Test Samples & Quality Testing

All built-in patterns have test samples to ensure accuracy:

📊 View Test Results: Go to Pattern Validation → Test Samples to:

Run patterns against curated test data
See quality scores (0-100)
Identify false positives and false negatives
View full sample content and expected matches

Each pattern includes 5 test samples covering common cases and edge cases.

Quality Score Breakdown:

● 80-100: High quality - Pattern works reliably across all test cases

● 60-79: Medium quality - Some issues detected, review recommended

● 0-59: Low quality - Significant issues, pattern needs improvement

Builder Test Samples Community Edge Cases

Custom Pattern Builder

Generate regex patterns from sample data. Mark the specific text you want to match across multiple samples.

Editing:

Sample Data

1. Paste your sample below 2. Select the text you want to match 3. Click Mark Selection

Sample 1

Add word boundaries Case insensitive

How it works: The pattern builder analyzes your sample data to detect structure patterns like digits, letters, special characters, and common formats (UUID, IPv4, MAC addresses). It generates an optimized regex that matches similar data.

DataRedactor

Built-in Patterns

Custom Patterns

Configuration Editor

📊 Pattern Test Samples & Quality Scores

1. Enable/Disable Built-in Patterns

2. Choose Redaction Strategy

3. Add Custom Patterns

4. Custom Entity Lists

5. Test Samples & Quality Testing

Pattern Testing

Built-in Patterns

Custom Patterns From Config

Custom Pattern Builder

Your Custom Patterns

Generated Pattern

What This Pattern Does

Pattern Structure

Test Pattern

Share This Pattern

Test Samples

Pattern Quality Score

Community Patterns

Edge Cases

Built-in Patterns

Custom Patterns

Configuration Editor

📊 Pattern Test Samples & Quality Scores

1. Enable/Disable Built-in Patterns

2. Choose Redaction Strategy

3. Add Custom Patterns

4. Custom Entity Lists

5. Test Samples & Quality Testing

Pattern Testing

Built-in Patterns

Custom Patterns From Config

Custom Pattern Builder

Your Custom Patterns

Generated Pattern

What This Pattern Does

Pattern Structure

Test Pattern

Share This Pattern

Test Samples

Pattern Quality Score

Community Patterns

Edge Cases

Report Pattern Issue