Extract Text from Physical Documents
A complete document scanning solution for iOS. Point your camera at any document and extract the text instantly.
The Problem
Building a document scanner with OCR requires understanding two complex processes: document segmentation (finding the document in an image) and optical character recognition (extracting text). Before WWDC 2019, this required training ML models and building complex processing pipelines. Even now, the frameworks must be properly integrated with SwiftUI.
The Solution
This complete iOS application demonstrates the full document to text pipeline:
- Document Camera - VNDocumentCameraViewController integration
- Automatic Detection - ML powered document segmentation
- Edge Correction - Manual corner adjustment when needed
- Text Extraction - VNRecognizeTextRequest for OCR
- SwiftUI Interface - Modern, clean result display
The Benefits
- Save 15 to 25 hours of framework research and integration
- Neural Engine optimized - Fast detection on modern devices
- Production quality - Same technology as Apple’s Notes app
- Perspective correction - Automatic straightening and lighting adjustment
- Clean architecture - DocumentCameraView and TextScanner separated
Camera Features Included
- Flash control (auto/on/off)
- Document mode (color/grayscale/black and white/photo)
- Shutter mode (automatic/manual)
- Manual corner point adjustment
What You Get
Complete Xcode workspace with working iOS document scanner app. Point at a document, capture, and extract text instantly.
Ready to add document scanning to your app?