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Built for GDPR · 100% local processing

Anonymize your documents in seconds

Primask automatically detects and masks personal data in your PDF documents with artificial intelligence.

New version in progress

Primask is getting a fresh start

A new version, with a completely redesigned engine, is in preparation and will also be available on the Mac App Store. In the meantime, downloads and purchases are paused.

To be notified, or if you have any questions: [email protected].

< 10s

per document

6

detected data types

100%

local processing

Interface Primask pour anonymiser un PDF localement

A dedicated desktop app

Primask runs on the workstation: PDFs are analyzed and masked there, without going through an online service.

Local processing, no PDF upload
Dedicated interface, no command line
Secure license activation

Always review before sharing

Primask accelerates anonymization, but no automated tool is perfect. Human review remains mandatory before sharing, archiving or publishing.

“Before, we spent 30 to 45 minutes manually anonymizing each document. With Primask, it takes a few seconds, and we are more confident nothing is missed.”
Medico-social sector
French Guiana

Security documented for your IT and DPO teams

Primask is designed for sensitive environments: local processing, no document cloud storage and a dedicated page explaining the technical flows clearly.

PDFs processed on device
No telemetry
Isolated license flow

The current problem

Manual document anonymization is slow, expensive and risky.

30 to 45 minutes

Average time to manually anonymize one medical or social document

Human error risk

Forgotten names, visible social security numbers, unmasked addresses

GDPR penalties

Up to 4% of revenue or 20 million euros in case of personal data leakage

Smart detection

Our AI analyzes your documents and automatically detects all personal data.

Names & first names

French, Brazilian, compound names, accents and particles. Adapted to names used in French Guiana.

Phone numbers

Mainland France and overseas territories: 06, +33, +594, +596... All common formats recognized.

Social security number

NIR detection from 13 to 15 digits, including overseas numbers.

Postal addresses

Streets, postal codes, cities and PO boxes detected automatically.

As simple as 1, 2, 3

No technical skills required.

1

Drop your PDF

Drag and drop your document into the app. No page limit.

2

AI analyzes it

In seconds, Primask identifies all personal data.

3

Download the result

Get your anonymized document, ready to share compliantly.

De la relecture manuelle à un flux maîtrisé

Primask ne remplace pas la validation humaine : il retire le travail répétitif, rend les oublis visibles et accélère la relecture finale.

Avant

Manual process

30-45 min
par document
  • 30 to 45 min per document
  • Mandatory review
  • Risk of missed data
  • Non-standardized process
  • High labor cost
  • Liability in case of leakage

Après

With Primask

< 10 s
puis relecture
  • Less than 10 seconds
  • Automatic AI detection
  • Complete coverage
  • Detailed detection report
  • ROI from the first month
  • Designed for GDPR requirements

Exemple de gain mensuel

25 PDF/mois à 35 min économisés représentent environ 14 h de travail répétitif récupérées.

Traitement local, preuve claire, sortie contrôlée.

Your documents never leave your computer. No cloud upload. No external server. No remote storage. Anonymization runs entirely on your workstation.

PDF original

Le document reste sur le poste.

Analyse locale

Détection IA et règles métier dans l’app.

PDF anonymisé

Export contrôlé puis relecture humaine.

No data transmitted
Works offline
Nothing is stored
Developed in French Guiana
Guides Primask

Tout comprendre avant d’anonymiser un PDF

Des pages courtes et ciblées pour répondre aux recherches les plus fréquentes : RGPD, caviardage, logiciel local, données sensibles et cas médico-social.

Ready to secure your documents?

A question about Primask, or want to hear when the new version is out? Get in touch.

+594 694 22 47 17

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