Red Flag Scanner for iOS

Red Flag Scanner for iOS

Red Flag Scanner is a modern SwiftUI iOS app that helps users analyze conversation text and detect relationship red-flag language patterns in a private, explainable, and fully on-device workflow. Users can paste chat text or extract text from screenshots using OCR, then run a local analysis that highlights categories such as manipulation, gaslighting, controlling pressure, disrespect, love bombing, breadcrumbing, and inconsistent replies.

This app is designed for people who want a private conversation pattern scanner without accounts, backend services, subscriptions, or API keys. Everything runs locally on the device, including OCR, analysis, report generation, history storage, and trend tracking. The result is a clean, premium-feeling iOS product with strong real-world appeal, clear buyer value, and an excellent monetization angle for niches around relationship safety, self-awareness, digital wellbeing, journaling, personal boundaries, and communication insight.

Why this app stands out

• 100% on-device experience with no backend and no cloud dependency
• Paste text or analyze screenshots with Apple Vision OCR
• Explainable scoring with evidence snippets and category-based reasoning
• Strict mode for more sensitive detection of subtle manipulation patterns
• Private scan history stored locally on the device
• Pinned reports, personal notes, filtering, sorting, and search
• Trend tracking over time with weekly digest and momentum insights
• Share summaries and export reports as PDF
• Beautiful onboarding, dashboard, scan, history, report, and guide screens
• No third-party packages required

Main use cases

• Analyze suspicious or emotionally confusing chat conversations
• Help users recognize repeated pressure or manipulation language patterns
• Track communication risk trends across multiple scans
• Save important reports with notes for future reference
• Create a private, structured history of concerning interactions
• Support personal reflection and decision clarity with explainable outputs

Core features

• Paste conversation text directly into the scanner
• Screenshot OCR using Apple Vision to extract text from chat images
• On-device analysis engine with explainable pattern detection and scoring
• Red-flag categories including manipulation, gaslighting, controlling behavior, disrespect, love bombing, breadcrumbing, and inconsistency
• Strict mode for higher sensitivity and more subtle language detection
• Detailed report output with risk level, verdict, evidence snippets, and why-it-matters context
• Local history with search, filters, sorting, and swipe actions
• Pin reports for quick access to important scans
• Add personal notes to each saved report
• Weekly digest and trend visualization for ongoing pattern tracking
• Export PDF and share or copy report summaries
• Privacy-first guide and onboarding flow for first-time users

Privacy-focused architecture

One of the strongest selling points of this product is privacy. The app does not require login, does not depend on a server, and does not send user conversations to a backend for processing. OCR, analysis, storage, and reporting are handled locally. This makes the product attractive for privacy-conscious buyers and significantly simplifies deployment and maintenance.

UI and product flow

The app includes a polished multi-screen experience designed to feel like a complete commercial product from day one. It features onboarding screens, an overview dashboard, a dedicated scan screen, saved history with filters and search, and a guide section that explains category meanings and healthy boundary principles. The visual structure is clean, modern, and suitable for further branding or niche adaptation.

Built with native Apple technologies

• Swift 5
• SwiftUI
• Vision framework for OCR
• Charts for trend visualization
• UIKit integrations for haptics, share sheet, and PDF rendering
• UserDefaults local storage with JSON-encoded reports and draft persistence

What buyers can customize

• App name and display name
• Bundle identifier and signing
• App icon and branding assets
• Accent colors and theme styling
• Onboarding text and guide content
• Detection categories, regex rules, thresholds, and scoring behavior
• OCR languages

Perfect for these niches

• Relationship safety apps
• Communication analysis tools
• Digital wellbeing products
• Private journaling and reflection apps
• Self-help and boundary awareness tools
• Chat insight and text pattern analysis products

Included screens and modules

• Onboarding flow
• Overview dashboard
• Scan screen
• Detailed report view
• History screen with search, filtering, and sorting
• Guide and category education screens
• Weekly digest and trend visualization

Technical notes

• No backend required
• No API key required
• No external dependencies
• Runs locally on iPhone
• Uses Apple Vision for screenshot text recognition
• Uses local persistence for report history and app state

Important note

This app is a conversation pattern scanner for decision support and self-reflection. It is not a diagnosis tool and should be used with personal judgment and context.

Why this is a strong Codecanyon item

Red Flag Scanner is not just a UI template. It is a complete native iOS product concept with a clear audience, strong emotional utility, premium privacy positioning, practical features, and strong resale/customization potential. Buyers can launch it as-is, rebrand it for a niche audience, expand the rule engine, add monetization, or turn it into a broader communication wellness product.

Special Launch Offer

The first 3 customers will receive a FREE reskin service included with their purchase!

This includes:

• App name change
• Logo replacement
• Package ID / Bundle ID setup
• Color customization (UI theme adjustments)
• Basic branding alignment based on your requirements

Ready for App Store / Google Play

After my work is completed, your application will be 1000% ready for publishing on the App Store or Google Play.

• ✔ Proper configuration
• ✔ Clean build setup
• ✔ Production-ready structure
• ✔ Optimized for submission

You’ll receive a fully prepared app — just upload and publish.