Vision Framework
Implement computer vision features including text recognition (OCR), face detection...
Install
npx skills add dpearson2699/swift-ios-skills --skill vision-framework -g -a claude-code -y- Repository
- dpearson2699/swift-ios-skills1.3k
- Category
- Data and ML
- Updated
- 3mo ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 18+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and CoreMLRequest/VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.
Vision Framework
Detect text, faces, barcodes, objects, and body poses in images and video using on-device computer vision. Prefer the modern iOS 18+ request APIs and load the legacy reference only when the deployment target requires it.
See references/vision-requests.md for complete code patterns and references/visionkit-scanner.md for DataScannerViewController integration.
Contents
- Two API Generations
- Request Pattern (Modern API)
- Text Recognition (OCR)
- Face Detection
- Barcode Detection
- Document Scanning (iOS 26+)
- Image Segmentation
- Object Tracking
- Other Request Types
- Core ML Integration
- VisionKit: DataScannerViewController
- Common Mistakes
- Review Checklist
- References
Two API Generations
Vision has two distinct API layers. Prefer the modern API for new code:
Swift-native request types plus try await request.perform(on:). Keep VN*,
VNImageRequestHandler, VNSequenceRequestHandler, completion handlers, and
legacy CGRect helpers inside explicit legacy fallback sections or files.
