mkbula

mkbula / HideMyData

Public

Native macOS PII removal software with on device Vision OCR and OpenAI privacy filter model

18
1
100% credibility
Found Apr 29, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Swift
AI Summary

A macOS app for detecting and permanently redacting personally identifiable information from PDFs and images using fully local AI processing.

How It Works

1
📱 Discover HideMyData

You find this free Mac app that hides personal details like names and emails in your PDFs or photos, keeping everything private on your computer.

2
💾 Download and install

Grab the app file from the releases page, drag it to your Applications folder, and open it – it might ask to allow it once.

3
🧠 Download the spotter tool

On first use, the app grabs a one-time download of its smart finder tool that lives only on your Mac to scan for secrets.

4
📄 Open your document

Drag in a PDF or image, or pick one from recent files, and see it appear ready for cleaning.

5
🔍 Find sensitive info

Click the detect button to automatically highlight names, emails, phones, addresses, and more.

6
🖌️ Cover up the spots

Choose black blocks or blurry covers, add or remove boxes by drawing or clicking, until it looks right.

7
💾 Save the safe version

Pick save to create a new file where the hidden info is permanently gone, not just covered.

✅ Share without worry

Your cleaned document is ready to send or print, with all personal details safely removed forever.

Sign up to see the full architecture

6 more

Sign Up Free

Star Growth

See how this repo grew from 18 to 18 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is HideMyData?

HideMyData is a native macOS app built in Swift that redacts personally identifiable information (PII) from PDFs and images entirely on-device. Drop in a document, and it uses Apple Vision OCR for scans plus an OpenAI privacy filter model via MLX-Swift to spot names, emails, phones, addresses, and more—backed by regex for IDs like SSNs or API keys. You get manual editing tools to add/remove boxes, black or blur styles, and permanent saves that rasterize pages so data can't be recovered.

Why is it gaining traction?

In a world of cloud-dependent tools, this stands out as a fully local native macOS app—no servers, no uploads, just your Mac's hardware. Devs dig the seamless PDFKit and image handling with editable previews, plus recents and drag-drop for quick workflows. The on-device filter and Vision OCR make it snappy on Apple Silicon, hooking privacy-conscious users tired of leaky web apps.

Who should use this?

Mac-based devs sharing client docs, journalists prepping stories with contacts, or lawyers anonymizing contracts before distribution. Ideal for native macOS apps workflows where you handle sensitive files daily but want zero external dependencies—think indie game devs stripping player data from logs or researchers cleaning datasets.

Verdict

Early alpha with 18 stars and 1.0% credibility score means expect rough edges like unsigned binaries and basic docs, but it's a solid native macOS version for local PII tasks. Grab the DMG if you're on Apple Silicon and need a device filter now—worth watching as it matures.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.