Document anonymisation for secure and compliant communication
Trusted by enterprises and public sector organizations across Europe







How does it work?

Upload your document
Choose data categories you’d like to pseudonymise or conceal
Use the online editor to review and fine-tune the result
Download your anonymised document, preserving the original formatting
Everything you need for professional document anonymisation
Accurate multilingual anonymisation
Automatically detect and conceal sensitive information in documents written in any language while preserving context and meaning.
Customised data protection
Select which types of data to anonymise or pseudonymise based on your legal, organisational or project requirements. Supports GDPR-compliant and policy-driven anonymisation.
Preserve document structure
Secure and compliant processing
Secure processing for sensitive documents. Built for strict privacy and compliance requirements.
Why choose Tilde Document Anonymisation?
Privacy you can trust
Built to protect personal and confidential data in line with GDPR and institutional standards.
Multilingual expertise
Powered by Tilde’s language technologies to support complex, multilingual documents.
Reduced manual risk
Automate anonymisation to minimise human error and speed up document handling.
Built for professional workflows
Designed for public sector, legal, research and enterprise environments.
Designed for professional use

For public institutions and legal teams
Protect personal data in official documents, reports and case files.
For enterprises and compliance teams
Ensure secure data handling in internal documents, audits and data sharing.
For research and data analysis
Anonymise sensitive data while preserving document usability.
Frequently asked questions
What is document anonymisation?
Why is document anonymisation important?
What is de-anonymisation, and when would I need it?
De-anonymisation (available soon) is the process of restoring anonymised data to its original form. This feature is particularly useful when you need to reverse anonymisation after sensitive data has been processed or translated. The mapping of pseudonymised entities to original forms may be deleted instantly, or kept, to produce pseduonymised document which allows for de-anonymisation after sensitive data has been processed.
How does pseudonymisation differ from anonymisation?
Pseudonymisation replaces personal data with fake identifiers (like pseudonyms) instead of removing it completely. This allows the data to remain useful for analysis while protecting individual identities.
What is morphology-sensitive pseudonymisation?
Morphology-sensitive pseudonymisation goes beyond simply replacing personal data with random identifiers (like pseudonyms); it ensures that these pseudonyms fit the grammatical rules of the language being used. This is especially important for languages with complex grammatical structures, where word endings or forms change based on gender, number, or case (e.g., in languages like Russian, Latvian, or Arabic).
For example, in a sentence where a person’s name appears, simply replacing the name with a generic pseudonym may distort the grammar of the sentence. In morphology-sensitive pseudonymisation, the pseudonym will be adjusted to match the grammatical form, so the sentence still flows naturally. If a name is in a particular case (like possessive or plural), the pseudonym would be changed to reflect the same case.
This feature is particularly valuable in legal documents, healthcare records, or multilingual environments where maintaining the integrity of the text is essential for readability and accurate communication. By preserving grammatical accuracy, morphology-sensitive pseudonymisation ensures that the anonymised document remains coherent and useful, even after sensitive data has been replaced.
Professional document anonymisation
Talk to our team about secure anonymisation for your organisation.
