CelatumSalvioni Digital Solutions
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Libelle DataMaskingLibelle
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Related Products
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About
Celatum is a desktop application for detecting and anonymizing personal identifiers in documents. It processes DOCX files locally on Windows and macOS; users can also paste text. Its on-device model detects more than 50 identifier types—including names, organizations, addresses, Swiss AVS numbers, IBANs, birth dates, email addresses and case references—in German, French, Italian and English. Users can review findings, disable matches, add terms, and permanently anonymize text or pseudonymize it consistently. Reversible pseudonymization uses a local key file. Celatum supports batch processing, reusable templates and restoration with the key. It is designed for lawyers, fiduciaries, healthcare professionals, and legal or compliance teams handling sensitive records. Human review is important because automatic detection may miss identifiers or flag false positives.
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About
Libelle DataMasking (LDM) is a robust, enterprise-grade data masking solution that automates the anonymization of sensitive or personal data—such as names, addresses, dates, emails, IBANs, credit cards—and transforms them into realistic, logically consistent substitutes that maintain referential integrity across SAP and non‑SAP systems, including Oracle, SQL Server, IBM DB2, MySQL, PostgreSQL, SAP HANA, flat files, and cloud databases. Capable of processing up to 200,000 entries per second and supporting parallelized masking for massive datasets, LDM uses a multithreaded architecture to efficiently read, anonymize, and write data back with high performance. It features over 40 built‑in anonymization algorithms—such as number, alphanumeric, date shifting, name, email, IBAN masking, credit card obfuscation, and mapping algorithms—as well as templates for SAP modules (CRM, ERP, FI/CO, HCM, SD, SRM).
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Law firms, fiduciaries and accountants, medical practices and clinics, and HR teams that handle confidential documents.
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Audience
IT teams in need of a solution to anonymize large-scale sensitive datasets for secure, realistic non‑production use
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
CHF 29/user/month
CHF 29 per user per month for monthly billing. A 7-day free trial is available. Annual billing and volume discounts are also offered; pricing for 50+ users or custom deployments is by arrangement.
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationSalvioni Digital Solutions
Founded: 2026
Switzerland
celatum.ch/
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Company InformationLibelle
Founded: 1994
Germany
www.libelle.com/products/datamasking/
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AlternativesNo Alternatives
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Not Supported
Google Sheets
Not Supported
IBM Db2
Not Supported
JSON
Not Supported
MariaDB
Not Supported
Microsoft Azure
Not Supported
Microsoft Excel
Not Supported
MySQL
Not Supported
Oracle Database
Not Supported
PostgreSQL
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Google Sheets
Supported
IBM Db2
Supported
JSON
Supported
MariaDB
Supported
Microsoft Azure
Supported
Microsoft Excel
Supported
MySQL
Supported
Oracle Database
Supported
PostgreSQL
Supported
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