rushilpatel21/Redactify

Redactify is an efficient data redaction tool that secures sensitive text using advanced NLP and rule-based methods. It combines transformer-based NER, regex, and Presidio analysis to detect and mask personal information through full redaction or partial masking—ensuring compliance while preserving data utility.

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Emerging

This tool helps organizations automatically find and hide sensitive personal information (PII) within text documents to meet data privacy rules. You input raw text, and it outputs the same text with PII like names, addresses, or financial details either completely removed, partially masked, or replaced with consistent placeholders. It's designed for data privacy officers, compliance managers, or anyone handling large volumes of sensitive text across different industries.

No commits in the last 6 months.

Use this if you need to reliably anonymize or redact personal information from various types of documents, such as legal contracts, medical reports, or customer communications, to ensure data privacy and regulatory compliance.

Not ideal if you only need to remove PII from a few small, non-sensitive documents manually or if you are looking for a simple keyword-based redaction tool without advanced AI capabilities.

data-privacy compliance-management document-redaction legal-tech healthcare-data
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

8

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Oct 14, 2025

Commits (30d)

0

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