{"repo":"mkbula/HideMyData","free":true,"listed":false,"github":"https://github.com/mkbula/HideMyData","clone":"git clone https://github.com/mkbula/HideMyData.git","description":"Native macOS PII removal software with on device Vision OCR and OpenAI privacy filter model","language":"Swift","stars":185,"topics":["ai","macos","mlx","pii","privacy","swift"],"license":"GPL-3.0","category":"media-processing","readme_excerpt":"Local, AI-powered PII redaction for macOS Built with OpenMed, MLX-Swift, and Apple Vision 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 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","default_branch":null,"files":null,"tree":[],"storefront":"/r/mkbula","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mkbula/HideMyData/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}