vision-framework

On-device OCR text recognition in iOS apps can be implemented using the Vision framework's text recognition capabilities, which process images directly on the user's device without requiring external services. It supports both modern Swift-native Vision API and legacy VNRequest patterns.

Yes, the iOS Vision framework supports both the latest Swift-native Vision API introduced in iOS 18+ and older legacy VNRequest patterns. This broad compatibility allows developers to implement image analysis features across different iOS versions.

You can run multiple computer vision features locally on an iPhone, including text recognition, face detection, barcode scanning, image segmentation, object tracking, and document scanning. These features process directly on the device using the Vision framework.

Live camera barcode scanning can be added to iOS applications using VisionKit's DataScannerViewController. This component enables real-time scanning directly through the camera, alongside other Vision framework features like text recognition and face detection.

Yes, custom Core ML models can be used for object tracking and image analysis in iOS through the VNCoreMLRequest interface. This allows developers to perform custom model inference directly on the device alongside native Vision framework features.

The best way to perform on-device image segmentation without external services on iOS is using the native Vision framework. It handles image segmentation, object tracking, and document scanning directly on the user's device, ensuring data privacy and offline capability.