postralai/masquerade

The Privacy Firewall for LLMs

45
/ 100
Emerging

This tool acts as a privacy firewall for your confidential documents when using large language models like Claude. You input the file path to a PDF containing sensitive information (like names, emails, or medical data), and it outputs a redacted PDF, along with a summary of the changes, ready for safe uploading to an LLM. This is for professionals handling sensitive client records, legal contracts, or internal company documents who want to leverage AI without compromising privacy.

No commits in the last 6 months.

Use this if you need to safely analyze or summarize PDFs containing private or confidential information using AI tools like Claude, ensuring sensitive data is removed before processing.

Not ideal if you need to interact with LLMs using raw, unredacted sensitive data or if you're not working with PDF documents.

data-privacy document-redaction legal-tech healthcare-compliance confidential-information-handling
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 15 / 25
Community 19 / 25

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Stars

74

Forks

21

Language

Python

License

MIT

Last pushed

Aug 11, 2025

Commits (30d)

0

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