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Original Document with PII Pseudonymized Document
Original Document Pseudonymized

See the difference: Instantly transform sensitive data into safe placeholders. Watch how PII is automatically detected and replaced.

How it works

From raw document to redacted output in three steps.

1

Automatic detection

Load your document. The local NER model identifies names, addresses, phone numbers, emails, IBANs, and more.

2

Review & refine

Check each detected entity in the Privacy Inspector. Add manual redactions, adjust categories, toggle items on/off.

3

Export or analyze

Export the pseudonymized or fully anonymized version. Use the built-in AI chat, or share the clean document.

AI analysis without the privacy risk

The built-in chat sends only your redacted document to cloud LLMs. Ask questions, get summaries, analyze content — while your actual PII stays local.

"Show Sent Data" transparency mode
You control what the AI sees
Instant summaries & analysis
AI chat showing document summary

Features

Professional-grade redaction tools for sensitive documents.

Local NER detection

Powered by a multilingual BERT model running entirely on your device. Documents are scanned locally — nothing leaves your machine during detection.

Manual redaction

Select any text to add manual redactions. Perfect for domain-specific terms, project names, or context the automated detection might miss.

Privacy Inspector

See every detected entity and its pseudonymized mapping. Toggle individual items, filter by type, and maintain full visibility over what gets redacted.

Three view modes

Switch between Full Text, Pseudonymized (referential integrity), and fully Anonymized views to see exactly how your document will appear.

Configurable entity types

Fine-tune detection by toggling specific categories: Person, Location, Organization, Email, Phone, Credit Card, IBAN, Date, URL, and more.

Multilingual support

The BERT-based NER model supports multiple languages out of the box, handling documents in English, German, Spanish, French, and more.

Detected entity types

PrivacyBridge detects a wide range of PII types out of the box.

Person Location Organization Email Address Phone Number Date & Time Credit Card IBAN URL Generic ID

Use cases

Built for real workflows across industries.

Document sharing

Redact sensitive information before sharing contracts, reports, or correspondence externally.

GDPR compliance

Pseudonymize personal data to meet data protection requirements when processing documents.

AI & LLM processing

Use cloud AI services with confidence by ensuring sensitive data never leaves your device.

Legal & medical

Handle sensitive legal briefs, medical records, or HR documents while maintaining confidentiality.

Data analysis

Prepare datasets for analysis by removing PII while preserving structure and relationships.

Research & training

Create anonymized versions of real documents for training datasets or demonstrations.

Screenshots

See the redaction workflow in action.

Privacy first

All PII detection happens locally. Your documents are never uploaded during the redaction process.

Local NER model

Detection runs on your device

No telemetry

We don't collect usage data

Transparent AI

See exactly what gets sent

Get started with PrivacyBridge

Download the app and take control of how sensitive data is handled in your documents.