High-performance, 100% offline image scanning and text extraction.
SwiftScan is a professional, cross-platform image scanning application built with Flutter. It provides blazing-fast OCR (Optical Character Recognition) and real-time translations directly from images without requiring an internet connection, ensuring your data remains private and secure on your device.
| Scanner Preview | Scanning Process | Scan Preview |
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| Scan Details | Translation | Scan History |
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| Gallery Import | App Settings |
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- 🛡️ 100% Offline Processing: All text recognition and translations happen locally on your hardware. No images or text data are ever uploaded to any server.
- Instant Image Scanning: High-speed text extraction from live camera feeds or static images using local processing.
- Multi-Language OCR: Supports Latin, Chinese, Devanagari, Japanese, and Korean scripts for versatile text capture.
- On-Device Translation: Translate extracted text from images into multiple languages instantly without an internet connection.
- Secure Local History: Save and manage your scanned results locally using a persistent, private NoSQL database.
- Biometric Security: Protect your scanned image data with integrated FaceID or Fingerprint authentication.
- Advanced Theme Engine: Seamlessly switches between a clean Light Mode and a deep navy Dark Mode.
- Gallery Integration: Import existing images from your gallery for instant offline text processing.
- Framework: Flutter (3.x) — High-performance cross-platform development.
- Language: Dart — Optimized for fast apps on any platform.
- State Management: GetX — Handles Dependency Injection, Routing, and Reactive State.
- Local Database: Hive — Blazing fast offline NoSQL database for image data persistence.
- Processing Engine: Google ML Kit — Powers local Text Recognition and On-Device Translation.
- Camera Implementation: Camerawesome — Advanced camera plugin for customized image capture.
- Storage: GetStorage — Fast key-value storage for local app preferences.
The project follows a modular structure to ensure privacy-focused image handling and clean code:
- Core: Theme resources, constants, and global utility classes.
- Data: Managed by Repositories and Models using Hive for local-only data persistence.
- Views: Feature-based screens with separated widget components for a "Zero UI" logic in utilities.
- Controllers: Logic layers using GetX to manage state and interact with local repositories.
- Clone the repository:
git clone [https://github.com/your-username/swiftscan.git](https://github.com/your-username/swiftscan.git)
- Install dependencies:
flutter pub get
- Run the application:
flutter run
Developed with ❤️ as a secure, private image scanning solution.