Skip to content

GDPR Pseudonymizer

AI-Assisted Pseudonymization for French Documents with Human Verification

Transform sensitive French documents for safe AI analysis with local processing, mandatory human review, and GDPR compliance.

What is GDPR Pseudonymizer?

GDPR Pseudonymizer is a privacy-first tool that combines AI efficiency with human accuracy to pseudonymize French text documents. Available as a CLI tool and desktop GUI application, with standalone executables for users who don't have Python installed. Unlike fully automatic tools or cloud services, it prioritizes zero false negatives and legal defensibility through mandatory validation workflows.

Perfect for:

  • Privacy-conscious organizations needing GDPR-compliant AI analysis
  • Academic researchers with ethics board requirements
  • Legal/HR teams requiring defensible pseudonymization
  • LLM users who want to analyze confidential documents safely

Key Features

Privacy-First Architecture

  • 100% local processing -- your data never leaves your machine
  • No cloud dependencies -- works completely offline after installation
  • Encrypted mapping tables -- AES-256-SIV encryption, passphrase-protected
  • Zero telemetry -- no analytics or external communication

AI + Human Verification

  • Hybrid detection -- AI pre-detects ~60% of entities (NLP + regex + geography dictionary, F1 59.97%)
  • Mandatory validation -- you review and confirm all entities (ensures 100% accuracy)
  • Fast validation UI -- keyboard shortcuts, batch operations, <2 min per document
  • Entity variant grouping -- related forms ("Marie Dubois", "Pr. Dubois", "Dubois") merged into one validation item

Batch Processing

  • Consistent pseudonyms -- same entity = same pseudonym across all documents
  • Compositional matching -- "Marie Dubois" and "Marie" resolve consistently
  • Selective entity processing -- --entity-types flag to filter by type (PERSON, LOCATION, ORG)
  • 50%+ time savings vs manual redaction

Themed Pseudonyms

Three built-in themes: Neutral (French names), Star Wars, and Lord of the Rings.

Quick Start

# Install from PyPI
pip install gdpr-pseudonymizer
python -m spacy download fr_core_news_lg

# Process a document
gdpr-pseudo process interview.txt

See the Installation Guide for detailed platform-specific instructions and the Tutorial for step-by-step workflows.

Documentation

Section Description
Installation Platform-specific setup (Windows, macOS, Linux, Docker)
Tutorial Step-by-step usage tutorials and workflows
CLI Reference Complete command documentation
GUI Guide Desktop application user guide
FAQ Common questions and answers
Troubleshooting Error reference and solutions
Methodology Technical approach, GDPR compliance, academic citation
API Reference Module documentation for developers

How It Works

  1. Detect -- Hybrid NLP + regex identifies candidate entities in French text
  2. Validate -- You review each entity with surrounding context
  3. Pseudonymize -- Confirmed entities are replaced with themed pseudonyms
  4. Store -- Mappings encrypted in local database for consistency and reversibility

GDPR Compliance

GDPR Pseudonymizer supports compliance with Articles 4(5), 25, 30, 32, and 89 of the General Data Protection Regulation. See the Methodology document for the full compliance mapping.

Important: Pseudonymized data is still personal data under GDPR. Consult your Data Protection Officer for specific compliance guidance.

Status

Current release: v2.0.0 (March 2026) — Desktop GUI, Standalone Executables & WCAG AA Accessibility

Supported: Python 3.10-3.12 | Windows, macOS, Linux | .txt, .md, .pdf, .docx, .xlsx, .csv formats | French language | Desktop GUI: pip install gdpr-pseudonymizer[gui]

See the FAQ for the product roadmap.