README.md

May 5, 2026 · View on GitHub

HideMyData

Local, AI-powered PII redaction for macOS

Built with OpenMed, MLX-Swift, and Apple Vision

Swift Xcode macOS

Install

Grab the latest .dmg from the Releases page, or build from source - see Build below.

https://github.com/user-attachments/assets/353899ca-3810-4fbc-9cbf-45bdf50ec30d

Features

  • Fully local — model runs on-device, nothing ever leaves your machine
  • PDF and image input — both formats share the same detection and redaction pipeline
  • OCR — Apple Vision handles scanned PDFs, images, and rescues PDFs whose embedded fonts hide text from selection
  • AI detection — OpenAI privacy-filter (MLX 8-bit) catches names, emails, phones, addresses, dates, IDs in context
  • Manually maintained regex — IBAN, SSN, Personal identifiers, MAC, IPv4/v6, JWT, API keys, crypto wallets and more to come
  • Two redaction styles — solid black or frosted glass blur
  • Manual editing — add or remove redaction rectangles by hand before saving
  • Permanent on save — pages are rasterized and rebuilt - the original text and glyphs are gone, not just hidden

Requirements

  • macOS 26 or later
  • Apple Silicon (the MLX backend does not run on Intel)

Build

open HideMyData.xcodeproj
# build & run via Xcode (⌘R)

On first launch, you will be prompted to download the model (~1.5 GB) from Hugging Face into ~/Library/Application Support/HideMyData/ModelCache/.

Tech Stack

Swift 6, SwiftUI, MLX-Swift, Apple Vision, PDFKit, OpenMedKit

License

GPL-3.0