Data masking can be used for Anonymization or Pseudonymization to comply with GDPR, Paper Redaction and Data Preprocessing to feed NLP models.
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Updated
Sep 3, 2021 - Python
Data masking can be used for Anonymization or Pseudonymization to comply with GDPR, Paper Redaction and Data Preprocessing to feed NLP models.
Haar face detection and redaction
A python redaction GUI built in TKinter
A pre-commit hook to check for PII in your code.
VFRAME: Visual Forensics and Metadata Extraction
Python CLI tool to redact and un-redact sensitive data from text files. 🔐📝
Python-based PDF redaction tool with GUI.
A Python program using Natural Language Processing (NLP) to redact sensitive information from texts. The redactor model was trained to redact sensitive information including names, email addresses, particular concepts, addresses, gender, phone numbers, and dates.
Database dumps with support for redacting/replacing data
Rudimentary program for speech transcription, manipulation, and redaction.
Remove sections with specific titles from your MkDocs pages
Kit de rédaction avec Sphinx et reST
An AI-driven system designed to automatically detect and remove sensitive or confidential information from various file types. Helps organizations ensure data privacy, comply with regulations like GDPR/HIPAA, and reduce manual effort in redacting private data.
system for detecting and redacting sensitive information from resumes and professional documents, combining multiple detection approaches with configurable entity routing and validation.
Python-based CLI tool for extracting and analyzing file metadata with security focus. It handles images, documents, audio, video, and executables, identifying privacy risks and security concerns in metadata
A tool for processing and redacting PDFs based on target words using OCR
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