What iOS versions are supported?

iOS 14.0 and later. The SDK uses CoreML for on-device inference, which gives the best performance on devices with Apple Silicon Neural Engine (A12 and newer).

Does this work alongside React Native or Flutter?

The native iOS SDK is a separate product from the React Native and Flutter SDKs. Use the native SDK when you need a fully native Swift app or when you're building a custom SDK on top of VerifyAI's primitives.

How large is the SDK?

The Swift SDK adds approximately 3 MB to your app binary. On-device models are downloaded on first use and cached locally — typical model size is 8-15 MB depending on policies.

Can I customize the camera UI?

Yes. VerifyAIScanner supports custom themes (colors, fonts, guidance copy) and you can also use the headless `client.verify(imageData:)` API to bring your own camera.

Does this support background uploads?

Yes. The SDK uses URLSession background tasks to upload verifications when the app is backgrounded or terminated. Offline verifications also queue and sync when the app returns.

VerifyAI iOS Native SDK

Add AI-powered photo verification to your iOS app with a Swift-first API. On-device CoreML inference, SwiftUI camera overlay, and full offline support.

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Quick Start

1. Install

swift

// Package.swift
dependencies: [
  .package(url: "https://github.com/switchlabs/verify-ai-ios", from: "1.0.0")
]

// Or via CocoaPods:
pod 'VerifyAI', '~> 1.0'

2. Use

swift

import VerifyAI

let client = VerifyAIClient(apiKey: "vi_live_...")

// Present the verification scanner
let result = try await client.presentScanner(
  policy: .scooterParking,
  metadata: ["trip_id": "TR-1234"]
)

switch result.outcome {
case .compliant:
  print("Verified: \(result.verificationId)")
case .nonCompliant(let violations):
  print("Issue: \(violations.first?.description ?? "")")
case .error(let error):
  print("Error: \(error)")
}

Features

Swift-First API

Async/await, Result types, Codable models — idiomatic Swift that feels at home in modern iOS apps. No bridging headers required.

CoreML On-Device

AI inference runs on Apple Silicon Neural Engine. Sub-200ms latency on modern devices, with no network round-trip.

SwiftUI + UIKit

Drop-in SwiftUI view (VerifyAIScanner) and UIKit view controller. Use whichever fits your codebase.

Camera Permissions Handled

Permission prompts, denied-state UX, and recovery paths handled out of the box. You don't have to rebuild this every project.

Offline Queue

Verifications queue locally when offline and sync automatically. Your users never lose work when the network drops.

Privacy First

Quality checks and on-device inference happen entirely locally. Only validated, user-approved images are uploaded.

Code Examples

Requirements

iOS 14.0 or later
Xcode 14 or later
Swift 5.7 or later
Camera permission (NSCameraUsageDescription in Info.plist)
VerifyAI API key (free sandbox available)

Frequently Asked Questions

Ship Photo Verification on iOS

Native Swift, CoreML-powered, production-ready. Start your free sandbox today.