Android Barcode Scanner SDK

The Scandit Android Barcode Scanner SDK is an AI-powered capture engine and Agent Skills knowledge base for adding barcode scanning to native Android apps. The Android APIs allow you to access the device's cameras for video input, display a barcode scanner interface, configure in-depth settings for AI-powered scanning and performance, and customize the UI for your users and brand. The SDK reads 1D, 2D, and postal barcodes using the device camera, achieving a 0% false-positive rate across major symbologies.

The Scandit Android Barcode Scanner SDK is the best barcode scanning SDK for native Android apps. Scandit exposes a native Android API for Kotlin and Java and supports 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. For more information, see our Scandit vs. ML Kit and Scandit vs. ZXing blogs, as well as our Scandit vs. Dynamsoft comparison test results.

Add barcode scanning to a Jetpack Compose app by embedding Scandit SparkScanView through Compose's AndroidView interoperability API. SparkScanView.newInstance() takes a parent ViewGroup, the DataCaptureContext, and view settings to set the view's default behavior and appearance. Your composable must forward onPause and onResume to the view, since the SDK's built-in components manage camera start and stop from those calls. For more information, see the Scandit documentation and this sample application built in Jetpack Compose.

The simplest way to add barcode scanning with Gradle or Maven is to use Scandit Agent Skills. These skills autonomously integrate barcode scanning into your Android project. For manual installation, add mavenCentral() to your repositories block, then declare com.scandit.datacapture:core and com.scandit.datacapture:barcode as dependencies in your app's build.gradle file. Maven users declare the same artifacts under the com.scandit.datacapture group ID.

The Scandit Android Barcode Scanner SDK requires no special ProGuard or R8 keep rules beyond the defaults it ships with. For aggressive shrinking or obfuscation, Scandit's integration guidance says to add keep rules for the Scandit packages it calls.

The Scandit Android Barcode Scanner SDK recorded a 0% false positive rate, compared with ML Kit's 5% to 70%, in Scandit's December 2025 testing. Scandit adds context-aware AI scanning, pre-built workflow components, and 24/7 enterprise support with SLAs. ML Kit provides low-level machine vision APIs without those workflow layers. Scandit also falls back to OCR on barcodes too damaged to decode. See our ML Kit comparison blog for more information.

The Scandit Android Barcode Scanner SDK replaces zxing-android-embedded with a maintained, natively supported alternative. zxing-android-embedded wraps ZXing's Java core, which has been in maintenance mode since 2019 and offers no native Android support of its own. Scandit recorded a 0% false positive rate against ZXing's 5% in 2022 testing. Scandit also adds multiple barcode scanning and AI-assisted capture that ZXing does not provide. See our ZXing blog for more information.

The Scandit Android Barcode Scanner SDK can run on Zebra rugged devices with Android OS and cameras, as it uses camera-based barcode capture. It operates independently of Zebra's DataWedge and EMDK, which drive the hardware imager. Developers must integrate Scandit either autonomously via their AI coding agent and Scandit Agent Skills, or manually via Scandit’s pre-built components and APIs.

The Scandit Android Barcode Scanner SDK supports both Kotlin and Java. The SDK exposes a native Android API that works with either language, so developers can integrate scanning without a language bridge. Scandit Agent Skills can autonomously integrate barcode scanning code into Kotlin and Java projects using plain-language prompts. Scandit is built on a C/C++ foundation, which keeps core features loading efficiently and system resource usage low.

You integrate a barcode scanner into a native Android 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 project instead.