Share useful content with less sensitive information.

Detect and redact supported sensitive content in text and records.

View preview status Read the guide

What you can build

Redact supported identifiers before sharing text for review.
Apply explicit policies to known fields in structured records.
Evaluate an OCR text profile for noisy extracted text.

Inputs: Text and selected fields in structured records
Outputs: Redacted content and optional findings
Runtime: Node.js and browser WebAssembly; deterministic baseline with no semantic model
Cloud: No hosted processing endpoint.

Package availability

Preview · npm release pending

@diakrio/anonymizer

This scoped package has no verified public npm release as of 2026-09-18. Installation and an interactive demo will follow package and asset qualification.

Free for personal and commercial application use. License and notices.

Know the boundaries

Detection depends on the selected profile and its documented coverage. Misses and false positives are possible.
Contextual person-name models are experimental; no production language or accuracy guarantee is available.
Redacted text does not sanitize source images or PDFs, and does not establish universal anonymity.
Detects validated email, IPv4/IPv6, and Luhn-valid card candidates. Phone numbers, contextual names, and credentials are not automatic detectors.

Processing and privacy

Continue building

Diakrio Converter SDK Diakrio OCR Diakrio Importer

Loading page…