Does it support custom AI models?

Yes, it provides patterns for VNCoreMLRequest to run custom Core ML model inference through the Vision framework.

Can I use this for real-time camera scanning?

Absolutely. It includes patterns for VisionKit's DataScannerViewController and the fast recognition levels required for live video processing.

How does it handle text recognition?

It supports both basic OCR through RecognizeTextRequest and advanced document analysis using the iOS 26+ RecognizeDocumentsRequest for layout understanding.

Does this skill support the latest iOS versions?

Yes, it specifically targets iOS 26+ and Swift 6.3 using the modern Vision API, while providing backward compatibility for legacy patterns.

Vision Framework & OCR

Name: Vision Framework & OCR
Author: dpearson2699

bydpearson2699

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512

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Mobile Development

Implements advanced computer vision features including OCR, face detection, and object tracking for modern iOS applications.

This skill provides comprehensive implementation patterns for Apple's Vision framework, specifically optimized for iOS 26+ and Swift 6.3. It bridges the gap between modern async/await APIs and legacy request patterns, allowing developers to integrate high-performance features like text recognition (OCR), document scanning, and person segmentation. Whether you are building real-time barcode scanners with VisionKit or running custom Core ML models for object detection, this skill provides the necessary boilerplate, best practices, and coordinate conversion logic to ensure production-grade visual intelligence in your mobile apps.

Key Features

01512 GitHub stars

02Integration patterns for VisionKit and custom Core ML models

03High-accuracy Text Recognition (OCR) and structured Document Scanning

04Real-time Face, Barcode, and Object detection with tracking

05Advanced Image Segmentation and Person Instance Masking

06Modern Swift-native Vision API patterns using async/await

Use Cases

01Building intelligent document scanning and management apps

02Implementing real-time retail checkout solutions with barcode and QR support

03Creating privacy-focused photo editors using person segmentation and face detection

Key Features

01512 GitHub stars

02Integration patterns for VisionKit and custom Core ML models

03High-accuracy Text Recognition (OCR) and structured Document Scanning

04Real-time Face, Barcode, and Object detection with tracking

05Advanced Image Segmentation and Person Instance Masking

06Modern Swift-native Vision API patterns using async/await

Use Cases

01Building intelligent document scanning and management apps

02Implementing real-time retail checkout solutions with barcode and QR support

03Creating privacy-focused photo editors using person segmentation and face detection