Wine Scanner – AI-Powered Wine Label Scanner for iPhone

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Wine Scanner – AI-Powered Wine Label Scanner for iPhone

Wine Scanner – AI-Powered Wine Label Scanner for iPhone

Wine Scanner is a premium SwiftUI iPhone app template designed to identify wines from bottle labels using an on-device OCR and NLP pipeline. It delivers a polished dark premium interface, fast scanning flow, detailed wine result screens, and local scan history — making it a strong starting point for developers who want to launch a modern wine discovery or wine companion app.

Built for iOS with SwiftUI, the app combines Apple Vision text recognition and NaturalLanguage entity parsing to extract wine information directly on the device. It also includes camera and gallery-based scanning, offline matching against a bundled wine database, generated fallback results when no exact match is found, and a smooth user experience across onboarding, home, scanner, detail, and history screens.

Main Benefits

  • Premium-looking dark UI with a modern wine-tech visual style
  • On-device OCR workflow for wine label recognition
  • Fast scanning flow with camera, gallery import, and demo mode
  • Beautiful detail screen with wine insights, rating, price, region, grapes, and profile sections
  • Offline-ready logic with bundled wine matching
  • Local history with search and clear-all support
  • Ready-to-open Xcode project for fast setup and customization

Included Screens

  • Onboarding
  • Home dashboard
  • Wine scanner screen
  • Wine detail view
  • Scan history

Core Features

  • SwiftUI iPhone app template
  • On-device OCR using Apple Vision
  • Entity parsing with NaturalLanguage
  • Offline wine matching against a bundled database
  • Generated fallback results when no exact wine match is found
  • Camera-based label scanning
  • Gallery image scanning via PhotosPicker
  • Demo mode for simulator testing
  • Rich wine result detail layout
  • Local scan history stored on device
  • History search
  • Clear All history action
  • Forced dark appearance for a premium visual experience

Design & User Experience

The interface is crafted with a luxury-inspired dark theme and red-gold highlights to match the premium wine niche. The home screen highlights the last scanned wine and key stats, the history screen keeps previous results easy to access, and the detail page presents important wine information in a clean card-based layout. The scanner screen is minimal and focused, helping users move quickly from label capture to result.

How It Works

  1. User scans a wine label using the camera or selects an image from the gallery
  2. The app performs on-device text recognition
  3. Recognized text is parsed to detect wine-related entities
  4. The result is matched against the bundled wine database
  5. If no exact match is found, the app can generate a fallback result
  6. The scan is saved locally to history for later browsing

Perfect For

  • Wine scanner app startups
  • iOS developers building a wine companion app
  • Restaurant or sommelier utility app concepts
  • Wine catalog or collector app MVPs
  • Developers who want a polished SwiftUI scanner template

Tech Stack

  • SwiftUI
  • Apple Vision
  • NaturalLanguage
  • PhotosPicker
  • UserDefaults for local persistence

Package Contents

  • Xcode iOS app project
  • App source code
  • Documentation
  • README
  • Changelog

Setup

Open the included Xcode project, select your signing team, set a unique bundle identifier, and run the app. Demo mode and gallery scanning are useful for simulator testing, while camera capture requires a physical iPhone.

Why Buyers Will Like It

Wine Scanner is not just a basic demo screen pack. It is a focused iPhone app template with a strong niche identity, elegant UI, practical scanning flow, and useful local features that make it feel closer to a real product. It saves time for buyers who want a stylish wine recognition app foundation without starting from zero.

Notes

  • This is an iPhone app template built with SwiftUI
  • Uses on-device recognition workflow
  • Includes offline database matching and local history storage
  • Camera capture requires a physical iPhone

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Mikodes

Mikodes

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Last Update 2026-03-21
Created 2026-03-21
Sales 0
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Software Version iOS 15 Other
Compatible With Swift TypeScript
Files Included .h .m .pch .xib/.nib JavaScript JS HTML
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