Document anonymisation for secure and compliant communication

Automatically remove or replace sensitive information in documents to ensure privacy, compliance and data protection — built for professional and institutional use.
Trusted by enterprises and public sector organizations across Europe
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How does it work?

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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

Anonymise documents without breaking formatting, layout, tables or structure. Ready for legal, administrative and professional documents.

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

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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

Document anonymisation is the process of removing or altering personal data from documents so that individuals or other entities cannot be identified. This ensures privacy and compliance with data protection regulations like GDPR.
Document anonymisation is crucial because it protects sensitive information by making it impossible to trace data back to individuals. This ensures that personal details, such as names, addresses, or medical records, are not exposed, even if the data is shared or accessed by unauthorised people. For example, in healthcare, anonymisation allows researchers to study patient data without violating their privacy. Similarly, businesses can use anonymised customer data for market analysis without risking a data breach.Anonymisation also helps organisations comply with privacy regulations like the General Data Protection Regulation (GDPR). GDPR requires companies to protect personal data and avoid exposing it. Failing to anonymise sensitive information could lead to hefty fines and damage to the company’s reputation. For instance, if a company leaks unprotected customer information, it could face serious legal and financial consequences.

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.

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.

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.

Tilde Anonymise is part of the project “Competence Centre for Information and Communication Technologies”, id.nr. 5.1.1.2.i.0/1/22/A/CFLA/008. “Multilingual Artificial Intelligence Solution for Document Anonymisation and Pseudonymisation”.