Can I use this for real-time video analysis?

Absolutely. The skill includes patterns for TrackObjectRequest and performance-optimized recognition levels suitable for high-frame-rate camera feeds.

Does this skill support the latest iOS versions?

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

Is there support for background removal or person masking?

Yes, the skill covers both GeneratePersonSegmentationRequest for general masks and GeneratePersonInstanceMaskRequest for individual person isolation.

How does it handle text recognition in different languages?

It provides implementation guides for RecognizeTextRequest using Locale.Language identifiers and language correction for accurate multi-lingual OCR.

Does it include UI components for document scanning?

Yes, it provides patterns for integrating VisionKit's VNDocumentCameraViewController for a native, high-quality document scanning interface.

Apple Vision Framework for iOS

Name: Apple Vision Framework for iOS
Author: dpearson2699

bydpearson2699

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409

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Mobile Development

Implements on-device computer vision features like OCR, face detection, and object tracking using the latest Apple Vision APIs.

This skill provides comprehensive patterns and best practices for integrating Apple's Vision framework into iOS applications, targeting iOS 26+ and Swift 6.3. It bridges the gap between modern Swift-native Vision APIs (iOS 18+) and legacy VNRequest patterns, enabling developers to implement high-performance features like text recognition (OCR), face and landmark detection, barcode scanning, and image segmentation. By leveraging on-device machine learning, it helps create privacy-focused, responsive applications that analyze visual content in real-time or from static images with typed results and native concurrency.

Key Features

01Stateful object tracking to maintain visual context across live video frames

02AI-powered person segmentation for background removal and individual instance masking

03Advanced Text Recognition (OCR) with language correction and custom vocabulary support

04Real-time barcode and QR code scanning across multiple symbologies

05409 GitHub stars

06Face detection and landmark mapping for eyes, nose, and mouth contours

Use Cases

01Building professional document scanning apps with structured data and layout understanding

02Developing high-speed inventory or retail tools using simultaneous multi-barcode scanning

03Creating interactive camera experiences using real-time face landmark detection and filters

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dpearson2699/swift-ios-skills vision-framework

For use in Claude.ai and ChatGPT

Key Features

01Stateful object tracking to maintain visual context across live video frames

02AI-powered person segmentation for background removal and individual instance masking

03Advanced Text Recognition (OCR) with language correction and custom vocabulary support

04Real-time barcode and QR code scanning across multiple symbologies

05409 GitHub stars

06Face detection and landmark mapping for eyes, nose, and mouth contours

Use Cases

01Building professional document scanning apps with structured data and layout understanding

02Developing high-speed inventory or retail tools using simultaneous multi-barcode scanning

03Creating interactive camera experiences using real-time face landmark detection and filters