Select the PII types to redact, then upload your document. No account required.
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*Security first: Your files are securely processed and deleted immediately. Create an account to manage your files, PII and retention settings. This demo only processes the first page. Create an account for full document processing.
Unlike structured fields, clinical notes contain PHI scattered throughout natural language: "Met with Mr. Müller on March 12 at Lausanne University Hospital." Identifying every instance manually across hundreds of pages is slow and error-prone.
Azure AI Language uses contextual understanding to find names, places, dates, and organizations in free text. Combined with "Always Redact" patterns for institution-specific identifiers (MRN, room numbers), coverage is typically 95%+ in a single pass.
Discharge summaries, progress notes, consult letters — single or batch.
Person, Date, Address, Organization, Phone, Email.
For research use, audit a sample before bulk processing.
De-identified notes ready for external use.
NLP training datasets often need real clinical narrative with all PHI removed. Bulk-redact thousands of notes in batches while keeping the clinical content for model training.
Yes — both are detected as "Person" entities. You can keep physician names visible by adding them to "Excluded Terms".
Abbreviations are not PII and are not masked.
No — implicit identifiers require human judgment. Use Studio manual masks for these cases.