Select the information to redact, then import your document. Get the first page free by email. No account required.
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Redact PDF AI de-identifies clinical notes automatically, detecting patient names, dates, and identifiers per HIPAA Safe Harbor while keeping the clinical narrative intact for research and sharing. It works on scanned and free-text notes. Review each detection, then export a flattened PDF with no recoverable PHI.
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.