Scenio

Scenio is a real-time AI camera scanner source template for iOS 17+, built in SwiftUI. Point the camera at anything (or pick a gallery photo) and get an instant AI description of the scene, on-device OCR text extraction, AI text translation, an AI location guess with Open in Maps, a spoken readout for vision-impaired users and multi-turn chat grounded in the scanned scene. It ships with a StoreKit 2 auto-renewable subscription paywall, a free-scan credit system, scan history and 19 localizations. It talks to any OpenAI-compatible endpoint, and no API key ships with the template.

Highlights

• Five scan modes: Scout (scene description), Lingo (translation), Here (location guess with Open in Maps), Voice (spoken readout) and Ask (multi-turn chat about the scan)
• On-device OCR with Vision framework plus text overlays, QR and barcode detection - no key needed
• Gallery photo picking alongside the live camera
• Text-to-speech readout and a dedicated Vision-Impaired mode
• Scan history with persisted results
• StoreKit 2 auto-renewable paywall with a free-scan credit system (starting balance configurable in one line)
• Works with any OpenAI-compatible endpoint: OpenAI, Google Gemini, Groq, OpenRouter or self-hosted
• Server-side proxy guide with a ready-to-deploy Cloudflare Worker example so no key lives in the app binary
• Glassmorphism UI, 19 localizations, privacy manifest included

Technology

• SwiftUI, iOS 17.0+, MVVM
• AVFoundation camera capture, Vision framework OCR and barcode detection
• AVSpeechSynthesizer text-to-speech
• StoreKit 2 auto-renewable subscriptions with a StoreKit test configuration
• OpenAI-compatible chat completions API (model IDs configurable in one file)

Requirements

• Mac with Xcode 15+, iOS 17.0+ device or simulator
• An AI provider account (OpenAI, Google Gemini, Groq, OpenRouter or any OpenAI-compatible endpoint) - the provider bills you for usage; on-device features work without any key
• Paid Apple Developer account for In-App Purchases and publishing

What You Get

• Complete Xcode project source: views, view models, services and models
• Docs/Backend_Spec.md: AI endpoint specification plus a ready-to-deploy Cloudflare Worker proxy example
• StoreKit test configuration for local paywall testing
• documentation.html: configuration, proxy setup, customization and App Store submission checklist
• README.md with a quick-start and project overview
• 11 app screenshots
• Full rights to rebrand, reskin, extend and publish on the App Store

Please note: this is a source code template, not a compiled app. A Mac with Xcode 15+ is required to build it, and your own AI provider account is required for the cloud features. If you have questions, use the contact form on the site, I usually reply within 24 hours.