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Jev PII Checker

AI AppsAI Privacy ToolsFreemium · Node.js, Bun

Jev PII Checker uses TypeSafe's Jev model to detect personally identifiable information in text. It combines regex patterns and word segmentation to identify PII with high accuracy, offering sensitivity levels and detailed extraction capabilities.

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Jev PII Checker screenshot
Jev PII Checker screenshot

Jev PII Checker is a tool designed to detect personally identifiable information (PII) in text using TypeSafe's Jev model. It employs a three-layer detection approach that includes a categorical gate, regex pattern extraction, and Jev-powered name judgment. This layered method balances cost, accuracy, and coverage, ensuring efficient PII detection.

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The tool identifies 12 PII categories, such as person names, emails, phone numbers, and government IDs, and provides sensitivity levels based on IBM taxonomy. It uses regex patterns for initial candidate extraction and the Jev model for detailed judgment, ensuring high accuracy while minimizing noise.

Jev PII Checker requires a TypeSafe API key and operates by sending scanned text to TypeSafe's servers, making it crucial for users to ensure data privacy compliance. The tool offers JSON and human-readable outputs, with options for masking PII values by default.

The tool is ideal for developers and organizations needing to screen text for PII before processing it further. It supports integration with shell scripts through exit codes and offers configurable thresholds for detection sensitivity. However, users should be aware that it cannot verify checksums or validate government IDs, and it may not distinguish between personal and corporate contact information without context.

  • CategoryAI Privacy Tools
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsNode.js, Bun

  • Three-layer detection: Gate, regex, Jev

  • 12 PII categories with sensitivity levels

  • JSON and human-readable outputs

  • Configurable detection thresholds

  • Exit codes for shell integration

  • Masking of PII values by default

  • Requires TypeSafe API key

  • Operates via TypeSafe's servers

  1. Set up: Obtain and configure your API key

  2. Scan text: Use the CLI to input text

  3. Review output: Check JSON or human-readable results

  4. Adjust settings: Configure thresholds and masking options

  • Data Privacy Compliance
  • Pre-Processing Text
  • API Integration
  • Security Audits
  • Data Masking

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