Grab the latest .dmg from the Releases page, or build from source - see Build below.
hidemydata-demo.mp4
- 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
- macOS 26 or later
- Apple Silicon (the MLX backend does not run on Intel)
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/.
Swift 6, SwiftUI, MLX-Swift, Apple Vision, PDFKit, OpenMedKit
GPL-3.0
