Stop Sending Raw Clinical Notes to Your AI Stack

Clinical Note De-identifier API: De-Identify Clinical Notes Before AI Processing A privacy-first API for healthcare developers building LLM, analytics, and search workflows If you’re building healthtech software with LLMs, clinical text processing, medical note summarization, analytics, or search pipelines, you’ve probably run into the same problem: clinical notes are incredibly useful — and incredibly sensitive. They contain names, dates, phone numbers, addresses, MRNs, IDs, and other patient-identifiable information that should not casually flow through every downstream service in your stack. That creates friction for developers. You want to: summarize notes with AI classify records extract insights build internal tooling faster But before any of that, you need a clean way to de-identify the text . That is exactly why I built Clinical Note De-identifier . It is now publicly listed on RapidAPI as Clinical Note De-identifier , which makes it easier for developers to discover the API, r