Local personal data redaction for any AI tools
I built the desktop app that detects and redacts personal data (or PII) locally without sending any text to server. It supports rule-based filtering and AI model-based redaction (eg openai privacy filter). It's open source and free. Please check out the repo and https://pii-gui.vercel.app/
Local personal data redaction for any AI tools launched on June 18, 2026 with 12 votes, #1,157 of 22,647 launches that month and more than 90% of that year's launches.
In plain words
This is an open-source desktop application that identifies and removes personally identifiable information from text without transmitting data to external servers. It uses both rule-based filtering and AI model-based redaction methods to protect sensitive data. The tool is designed for users who need to prepare text for AI tools while maintaining privacy, and it processes everything locally on the user's machine.
written from the facts on this page · September 2026
From the sources
Contribute to sophia486/pii-gui development by creating an account on GitHub.
Find and redact personal information in documents — entirely on your device. Load a PDF, markdown, or text file, detect PII with built-in rules or local ONNX models, review every match, and export a safely redacted copy. No document content ever leaves your machine. PII GUI is a Tauri 2 desktop app (React 19 + TypeScript frontend, Rust backend) for local-first PII detection and redaction. Detection runs on-device with regex rules or quantized ONNX models; the only network access is the optional one-time model download. OpenAI Privacy Filter ONNX inference was measured locally on an Apple M1 Max using ONNX Runtime CPUExecutionProvider . The benchmark uses 1024-token chunks, strips…from github.com
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