deidentification

The open source PII and PHI redaction and de-identification engine

Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.

Deduce: de-identification method for Dutch medical text

Robust de-identification of medical notes using transformer architectures

Deidentify people's names and gender specific pronouns

Philter redacts sensitive information such as PII and PHI in text.

Application and python script to identify, remove, and/or recode personally identifiable information (PII) from field experiment datasets.

DICOM gateway for de-identification or tag morphing

Identify and tokenize sensitive data automatically using Cloud DLP and Dataflow

Go library that detects personally identifiable information in text and structured data and replaces it with deterministic, format-preserving substitutes.

👥 An R package for deidentifying datasets that may contain personally identifiable information (PII)

Terminal-native agent for clinical workflows — prior auth, coding audit, and documentation, with reviewable output

NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!

A local-LLM privacy layer for anything you paste into a cloud model — detect, tokenize, restore. Zero deps, reversible, strong on Chinese.

detection of burned in pixels using OCR (under development)

A python client used to interact with the Private AI's API

Privacy-preserving representations of training data for de-identification

SMITH FHIR Transfer Services

De-identifying CDISC SDTM data by Phuse rules using SAS

Protect personal data (PII) in your LLM prompts. piighost hides sensitive values from the model, then restores the real values in the response, so tools and the user still get the real data. Pluggable detectors (regex, NER, LLM), LangChain, Pydantic and LlamaIndex AI integrations, and a companion OpenAI/Anthropic proxy.