Comply with GDPR before publishing documentation or sending it to AI.
◇ Works with .docx · .pdf · .odt · Data sovereignty
IDs, IBAN, license plates, cadastre…
validated on administrative corpus
vs. traditional redaction
everything runs in your environment
Arrives via API from your DMS, or drag a PDF, Word or a batch of documents.
The AI locates names, IDs, addresses and 25+ personal data types.
Pick which categories to redact, adjust each entity manually and confirm before exporting.
Anonymous document ready, with anonymization report and full audit trail.
anonimIA understands how a file, tender or decree is structured. And that changes everything.
Models trained with Iberian administrative vocabulary: national IDs, IBAN, license plates and cadastral references.
See moreYou choose which categories to anonymize per document type: names, addresses, amounts, signatures, third parties…
See moreReview panel with confidence level per entity. Accept, edit or discard each redaction before publishing.
See moreEach document generates a report of what was redacted, why and who reviewed it. Full traceability.
See moreREST API and connectors ready for the main public-sector document management systems.
See moreSovereign EU cloud service by default. If needed, deploy on your own infrastructure.
See moreFrom governments to private firms: any organization handling personal data can reduce risk and stay compliant.
City councils, provincial governments, universities and agencies that publish minutes, resolutions and files with full legal certainty.
Law firms, consultancies and advisors preparing judicial, contractual or tax documentation before sharing it.
Hospitals, clinics and insurers anonymizing clinical records, reports and studies for research or exchange.
Companies training models or using AI assistants that need to strip personal data before processing.
Publish minutes, resolutions, agreements and contracts on the portal without exposing third parties' personal data.
Anonymize tabular and document datasets before publishing them on your open-data hub.
Deliver files to transparency requesters or interested parties with third-party data automatically redacted.
Before sending documents to a generative AI model, strip personal data so no external provider processes it.
Every action is logged with a hash of the original and anonymized document. Meets GDPR and ENS medium/high category.
Aligned with the Spanish National Security Framework for the public sector.
Data minimization, integrity and accountability by design.
Every redaction is signed with a hash and a verifiable timestamp.
End-to-end encryption at rest and in transit.
Compatible with electronic ID, national digital keys and corporate SSO.
Hosted in certified data centres within the European Union.
Upload one and see how personal data is redacted instantly. No sign-up, no card.
It is the process of irreversibly removing or redacting personal data (names, IDs, addresses, phone numbers, IBAN, license plates) from a document so that individuals cannot be identified. It is a GDPR requirement before publishing administrative files, resolutions or notifications.
Anonymization is irreversible: personal data disappears and can no longer be linked to an identifiable person, so the document is no longer subject to GDPR. Pseudonymization replaces data with identifiers (e.g. a code), but the link can be reversed with additional information, so it remains personal data processing.
anonimIA anonymizes PDF (.pdf), Microsoft Word (.docx) and OpenDocument Text (.odt). It returns the document with personal data redacted and a sanitized text layer, ready to publish on transparency portals or official gazettes.
Yes. anonimIA is designed for the public sector and complies with GDPR, LOPDGDD and ENS. Processing runs in your environment, guaranteeing data sovereignty: no document leaves your infrastructure.
Yes. anonimIA is the recommended pre-processing layer to remove personal data from files, contracts or emails before sending them to generative AI models. You benefit from generative AI while complying with GDPR and without exposing sensitive information to third parties.