iOS Barcode Scanner SDK

The Scandit iOS Barcode Scanner SDK is the best for production iOS apps. Scandit supports native iOS integration, Agent Skills, pre-built workflows, AI-assisted capture, and offline scanning. Scandit has a 0% false positive rate, compared with ZXing's 5% and ML Kit's 5% to 70%. Scandit scans barcodes from a median of 1.4X further away than Dynamsoft, and matches or beats Dynamsoft in 19 of 23 tough code conditions on a Samsung Galaxy A56, which is comparable to an iPhone 13 or iPhone 14. For more information, see our Scandit vs. ML Kit and Scandit vs. ZXing blogs, as well as our Scandit vs. Dynamsoft comparison test results.

The Scandit iOS Barcode Scanner SDK requires a deployment target of iOS 15.0 or higher. Scandit also requires the latest version of Xcode to build against the SDK. The SDK runs on arm64 and x86_64 devices with a camera resolution of 720p or better.

VisionKit and AVFoundation are free and iOS-native, but appear limited to basic barcode and text scanning workflows with no AI assistance. Google's ML Kit lacks native iOS support and must be added through CocoaPods. The Scandit iOS Barcode Scanner SDK provides native iOS support and adds enterprise features: AI-powered scanning, multi-barcode scanning, AR overlays, and dedicated support. Scandit has a 0% false positive rate for major barcode symbologies, compared with ML Kit's 5% to 70% range. For more information, see our Scandit vs. ML Kit blog.

Yes, the Scandit iOS Barcode Scanner SDK works with both Swift and SwiftUI. The fastest way to integrate it is to use Scandit Agent Skills: invoke the sparkscan-ios skill in your AI coding agent to generate production-ready Swift/SwiftUI code from plain-language prompts. The manual steps are: add your Scandit license key, enable the symbologies your workflow needs, and customize the UI to meet your workflow and branding requirements.

Yes, the Scandit iOS Barcode Scanner SDK supports Swift Package Manager, CocoaPods, and Carthage. Swift Package Manager users add the datacapture-spm repository under Package Dependencies. CocoaPods users add ScanditCaptureCore plus the pods their use case needs. You can also drag the XCFramework archives into your target and use the Embed and Sign option. Every integration path requires ScanditCaptureCore, which contains core functionality shared across data capture modules.

The Scandit iOS Barcode Scanner SDK is a commercial alternative to open-source iOS scanners like ZXing and Google ML Kit. Unlike these open source libraries, Scandit has native iOS support, context-aware AI scanning, pre-built workflows, and 24/7 enterprise support with SLAs. Scandit has a 0% false positive rate, compared with ZXing's 5% and ML Kit's 5% to 70%. Scandit, ZXing, and ML Kit all run on-device and scan offline. For more information, see our Scandit vs. ML Kit and Scandit vs. ZXing blogs.

The Scandit BarcodeCapture API replaces AVCaptureMetadataOutput for barcode recognition in iOS apps. You create a DataCaptureContext with your license key, configure BarcodeCaptureSettings with the symbologies you need, and register a BarcodeCaptureListener to receive each recognized barcode. The Scandit SDK manages the camera session, so you don’t need to configure AVCaptureSession or metadata object types directly. Scandit SparkScan also replaces the surrounding UI, including the camera preview, trigger button, and scan feedback.

You integrate a barcode scanner into an iOS app using an AI coding tool with barcode scanning Agent Skills. Scandit Agent Skills generate production-ready code after you describe your use case in plain language. You install them into tools like Claude Code or Cursor with a single command. For manual integration, add the Scandit SparkScan component to your iOS project instead.

Yes, the Scandit iOS SDK includes an ID Capture mode built for AI-assisted identity document capture, separate from its barcode scanning modes. ID Capture reads passports, driver's licenses, ID cards, and visas from countries across Asia, Europe, the Americas, the Middle East, Africa, and Oceania. It combines barcode, machine-readable zone (MRZ), Visual Inspection Zone (VIZ), and printed-text data from a single identity document into one result.