RedactKit vs PlateDetect

RedactKit is a powerful, AI-powered PII detection and redaction tool that automatically identifies and removes sensitive personal information from any text — all on your device, with no internet connection required. Paste any text into RedactKit and watch as the on-device machine learning model instantly highlights and redacts Personally Identifiable Information (PII) before you share it with anyone. WHAT REDACTKIT DETECTS • Person names and identities • Email addresses • Phone numbers (all formats) • Physical addresses and locations • Social Security Numbers (SSNs) • Credit card numbers • Dates of birth and other sensitive dates PRIVATE BY DESIGN RedactKit runs entirely on your device using CoreML and NeuroBERT. Your text never leaves your iPhone. No accounts, no ads, no analytics, no tracking — just fast, accurate, local processing. KEY FEATURES • AI-Powered Detection: Uses CoreML and NeuroBERT for accurate, real-time PII identification • Animated Redaction: Smooth, satisfying animations show exactly what's being protected • History Management: Processed content is saved locally so you can revisit previous redactions • Clipboard Integration: Paste text in and copy clean output out in seconds • Beautiful SwiftUI Interface: Modern design with clean visual feedback HOW IT WORKS 1. Paste or type any text into the app 2. Tap "Redact" — the AI model scans for PII instantly 3. Review the animated redaction results 4. Copy the clean, redacted text and share it safely PERFECT FOR Sharing documents or messages that contain personal details, preparing content for screenshots or screen recordings, removing sensitive data before forwarding emails or notes, and protecting your own information before copying it to other apps. PRIVACY RedactKit is designed with privacy at its core. All processing happens on-device. No data is sent to any server. Redaction history is stored locally using SwiftData. RedactKit requires no account creation and collects zero data about you or your content.

PlateDetect is an on-device license plate reading app built for controlled field scans, photo imports, readability checks, local review, and watchlist alerts. Start by adding the plate formats used in your area, such as AA ## or AAA ####. PlateDetect strictly follows the formats you add. If no format is configured, detection stays off. Use Live Scan to read plates with the camera, or import a photo for the same on-device recognition workflow. The app combines plate localization, Apple Vision OCR, configurable confidence thresholds, and duplicate-save timing so History stays focused on useful reads instead of every frame. Field Check is a separate mode for measuring whether a plate is readable from a selected distance. It reports readiness using OCR confidence, plate size, framing, and plate shape without saving the check as a scan. History keeps each saved detection organized with normalized plate text, raw OCR text, detection confidence, OCR confidence, matched format, capture time, source, notes, optional GPS region, and saved media. You can choose how much surrounding image context is kept around the plate crop. Watchlist alerts help identify plates you choose to monitor locally. Standard detections use a quieter confirmation tone, while watchlist matches use a distinct higher alert repeated three times. Plate Rules let you allow or restrict plate endings by day and time window, with a Monday-Sunday overview for quick schedule review. PlateDetect is local-first. Detection runs on device, History is stored locally, Face ID app lock can protect saved records, and backend sync is optional through your own HTTPS endpoint. PlateDetect is a field aid, not a legal identity system. Confirm important reads against official records and follow the rules for your role and location. Standard EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/