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Ghostit - AI Privacy Anonymizer

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Overview

Anonymize PII and corporate data locally before using LLM prompts.

Protect your digital privacy and prevent corporate data leaks with Ghost-it. Ghost-it is a lightweight, ultra-fast browser extension that intercepts your text prompts locally before they reach AI models. It instantly detects and redacts Personally Identifiable Information (PII) such as emails, credit cards, phone numbers, and regional IDs, replacing them with secure, standardized cryptographic tags. Key Features: - 100% Client-Side Processing: All anonymization runs inside your browser's RAM. Your raw data never touches our servers. - Multi-LLM Support: Seamlessly integrates into ChatGPT, Claude, Google Gemini, Microsoft Copilot, and Perplexity. - Real-Time Cloud Dictionary: Sincronize your corporate dashboard exceptions and custom dictionary words from ghostit.online straight into your browser. - Performance Optimized: Built on an enterprise-grade chunking engine capable of processing over 10,000 corporate names in milliseconds. Keep your workflow smooth while keeping your data anonymous. Ghost-it before you prompt!

Details

  • Version
    1.4
  • Updated
    June 23, 2026
  • Features
    Offers in-app purchases
  • Size
    48.67KiB
  • Languages
    English
  • Developer
    Ghostit Solutions
    Website
    Email
    Support@ghostit.online
  • 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

Ghostit - AI Privacy Anonymizer has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

Ghostit - AI Privacy Anonymizer handles the following:

Personally identifiable information

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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