How to Add an Android Barcode Scanner Library

In 2026, the optimal way to add an Android barcode scanner is to use an AI coding assistant with barcode scanning Agent Skills published by a recognized vendor of barcode scanner SDKs. With a few prompts, you get the ideal solution for your use case and physical scanning environment without lengthy evaluation or customization.

This tutorial explains how to add barcode scanning to an Android app using your AI coding assistant and Scandit Agent Skills. We’ve also included instructions for manually integrating barcode scanning and a comparison between Scandit and popular Android barcode scanning libraries.

How do I use AI to add a barcode scanner for Android?

To add an Android barcode scanner using AI, invoke barcode scanning Agent Skills through your AI coding assistant. Once the Agent Skills create the optimal code, test your new features and performance under real-world conditions.

The key to avoiding barcode scanning issues is understanding what users need to be productive and adapting your app to make it happen in the user's environment. Domain-specific Agent Skills eliminate the guesswork, creating code that works regardless of the physical environment or users’ abilities. Rather than forcing users to compensate for damaged labels, awkward label positions, or multiple barcodes, Agent Skills chooses the right features and customizations for you.

Scandit Agent Skills bring 15 years of barcode, label, and ID scanning expertise directly into any AI coding agent, grounded by thousands of Scandit SDK deployments in various industries, facilities, and user types. Based on the Agent Skills Open Standard, they autonomously pick the optimal product and framework, customize workflows and UI, and generate production-ready integration code.

Here’s how you can use your AI coding assistant and Scandit’s Agent Skills to add production-ready barcode scanning code to your Android app.

1. Add production-ready barcode scanning code to your Android project

1. Install Scandit Agent Skills into your AI coding tool.

Claude Code

Run these commands:

/plugin marketplace add scandit/skills

/plugin install scandit-sdk@scandit-plugins

Codex/ChatGPT app

Click here to install Scandit Agent Skills.

Codex CLI

Run these commands:

codex plugin marketplace add scandit/skills

codex plugin add scandit-sdk@scandit-plugins

Cursor

Click here to install Scandit Agent Skills.

GitHub Copilot

Run these commands:

copilot plugin marketplace add scandit/skills

copilot plugin install scandit-sdk@scandit-plugins

Any other AI coding agent

Run this command:

npx plugins add scandit/skills

2. Using your AI coding tool, describe your use case in plain language. Provide as much detail as possible, including photos, such as the barcode labels you want to scan. The Agent Skill will ask for more information and a Scandit license key, if necessary.

Here is an example prompt to add barcode scanning to an existing Android inventory app:

In this Android app, users currently add items to the inventory by typing in barcodes manually. Add camera-based barcode scanning to this flow.

- Use /sparkscan-android, with the floating scan button.

- A scan looks up the item in existing inventory and adds it to the list, exactly like manual entry does. If the barcode isn't found, prompt to add it.

- Keep manual entry as is. Scanning is an additional input.

- Enable EAN-13, UPC-A, Code 128, and QR.

- Match the scanning UI to the app's design system.

This example uses the sparkscan-android skill, as it’s the fastest way to get a reliable barcode scanning experience, including all of Scandit’s AI barcode scanning features.

3. If you didn’t invoke a specific skill, the data-capture-sdk product-picker skill recommends the appropriate Scandit product and framework combination (e.g., SparkScan, BarcodeCapture, MatrixScan AR, MatrixScan Count, Smart Label Capture, etc.).

4. The matching product-and-framework skill (e.g., sparkscan-android) autonomously integrates barcode scanner code into your Android project.

5. If needed, use additional prompts to customize workflows, the user interface, data manipulation, and error handling, and to integrate with your backend system.

6. Review the generated code and test against production workflows. If changes are required, use your AI coding tool and Scandit Agent Skills to autonomously update the code.

2. Test barcode scanning performance in Android

To make sure your new barcode scanner features meet users’ needs, test it under real-world scenarios and conditions.

Here are several questions to guide real-world testing for Android barcode scanning:

• Is there clear guidance, feedback, and helpful hints to foster a smooth workflow rather than a confused, error-prone activity?
• Can you scan barcodes in different orientations, such as upside down and sideways? Flip the phone upside down to see how the scanner performs.
• Can you scan barcodes with reflections and glare?
• Can you scan barcodes at a distance? Can you zoom in if needed?
• Do you receive scanning feedback in loud environments and while wearing headphones?

You can use our barcodes sample sheet for quick evaluation. Our developer guide on how to measure barcode scanning performance provides a systematic, use-case-based approach to validate your Android app against requirements.

Start barcode scanning on native Android

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How do I build an Android barcode scanner manually?

To build an Android barcode scanner manually:

1. Choose the appropriate barcode scanner SDK.
2. Configure barcode symbology support for your use cases.
3. Customize the UI to suit your workflows and branding.
4. Test barcode scanning under real-world conditions.

Using a pre-built barcode scanning component, such as Scandit SparkScan, solves many feature and integration challenges, reducing timelines and frustration. With SparkScan, you get:

• AI-powered scanning to reduce unwanted scans by up to 100% and get a 0% false positive rate for all major barcodes.
• High-speed scanning for any environment, including data-dense codes and tiny, torn, damaged, curved, and shiny barcodes.
• Rapid decoding of barcodes even at long range, in low light, or at extreme angles.
• UI elements to streamline scanning tasks, including a shutter button and camera preview that floats on top of any Android app.
• Customizable colors, sizes, and positions of UI elements to fit your app’s existing UI and branding.

SparkScan’s trigger button comes with a semi-transparent background and lets users drag it to their preferred position. When not in use, the trigger button collapses, and the camera preview disappears to free up screen real estate.

When run, the sample application looks similar to this:

The prerequisites are:

• Complete the Scandit SDK setup instructions for Android, using Gradle or Maven.
• Clone the datacapture-android-samples repo.
• Get a valid Scandit Data Capture SDK license key. You can sign up for a free test account at ssl.scandit.com.
• Set up a development device or Android Studio’s emulator for testing.

Testing the Scandit Android SDK is easy

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1. Add the Scandit Data Capture SDK license key to your project

To run the List Building Sample application, you must add the Scandit Data Capture SDK license key to the project.

Open /secrets.properties and set the value of the Scandit license key to yours where you see SCANDIT_LICENSE_KEY=YOUR_SCANDIT_LICENSE_KEY.

2. Run the sample app

To test that your license key works and the app runs, build and deploy the List Building Sample application on your Android device or Android Studio emulator.

Once running, follow these steps to capture barcodes using your device’s camera:

3. Change supported symbologies

The symbologies your app supports are configured through SparkScanSettings. The sample app is already configured to support multiple 1D symbologies, such as EAN-8, UPC-E, Code 128, and Interleaved 2 of 5 (ITF).

To change this to the symbologies for your use case:

1. Open MainActivity.java and navigate to the initialize() method.
2. Modify the settings to add a 2D symbology as follows:

HashSet<Symbology> symbologies = new HashSet<>();
symbologies.add(Symbology.EAN13_UPCA);
symbologies.add(Symbology.EAN8);
symbologies.add(Symbology.UPCE);
symbologies.add(Symbology.CODE39);
symbologies.add(Symbology.CODE128);
symbologies.add(Symbology.INTERLEAVED_TWO_OF_FIVE);
symbologies.add(Symbology.QR);
sparkScanSettings.enableSymbologies(symbologies);

Here, we’ve added support for QR codes.

4. Customize the user interface

You can customize the SparkScan UI and UX using advanced configurations. This includes changing UI element colors (i.e., icons, buttons, toolbar), the trigger button icon, the size of the preview window, and more.

The graphic below shows three different examples of how colors, positions, and sizes can be customized to fit different Android apps.

If you’re using Scandit Agent Skills, customization is performed using prompts (e.g., for the first example below, something like, “use a fixed trigger button, round and placed bottom right of the screen, in the Scandit teal”).

How Scandit supports Android barcode scanning

Scandit’s Android Barcode Scanner SDK is an AI-powered capture engine and Agent Skills knowledge base that adapts to any workflow and edge case. Proven across hundreds of billions of scans on many device types and frameworks, our software scans the right code every time, regardless of label or environmental condition.

Scandit’s performance

Here’s what you get with the Scandit Android Barcode Scanner SDK:

1. Greater than 99% accuracy for common barcode symbologies.
2. Decode speeds of 480 scans per minute, faster than human perception.
3. Zero false positives for all major barcode symbologies.
4. Reliable barcode scanning under less-than-ideal conditions: tiny, torn, damaged, curved, or shiny barcodes, long scan ranges, low light, and extreme angles.
5. Successful captures with camera resolutions as low as 240x320 pixels and barcode resolutions as low as 0.5 pixels per thin barcode element.

The Scandit Vision AI Engine is the intelligence behind the Scandit Smart Data Capture Platform, which powers our barcode, ID, and label scanning, as well as ShelfView products. Additionally, the Scandit Android Barcode Scanner SDK is built on a C/C++ foundation, ensuring core features load efficiently in the background and consume minimal system resources.

Framework support

The Scandit Android Barcode Scanner SDK supports Kotlin and Java, and UI frameworks like Jetpack Compose. Other Scandit barcode scanning SDKs are available for Native iOS, JavaScript, Xamarin, React Native, Flutter, .NET (iOS/Android and MAUI), Cordova, Capacitor, and Titanium.

Security and privacy

Scandit takes a security by design approach to all software, giving you complete control over data collection and processing. This means:

• All image processing happens on the device to ensure scanning confidentiality and high availability.
• Any data you choose to share with Scandit is encrypted during transit and at rest.
• Scandit is ISO 27001:2022 Certified and compliant with applicable privacy regulations, including GDPR and CCPA.

For a complete barcode scanner SDK evaluation kit, read our guide to choosing the best barcode scanner SDK for your app.

How does Scandit compare with ML Kit and ZXing for Android barcode scanning?

Here’s a table showing how we believe Scandit compares with the free ML Kit and ZXing barcode scanning libraries on Android. The versions compared are current as of July 2026, with ZXing in maintenance mode since 2019.

In summary, choose Scandit for production apps that require native Android support, zero false positives, pre-built workflows, AI scanning features, and enterprise-grade support SLAs. Use ML Kit when you need the additional capabilities of Google’s machine vision APIs. Use ZXing only when its maintenance status and features fit your risk profile.

Product features

*According to the ZXing documentation, it detects multiple barcodes by repeatedly decoding portions of the image. After one barcode is found, the areas left, above, right, and below it are scanned recursively.

**The Scandit SDK detects multiple barcodes in full-frame images in real-time, and tracks their positions as they move in and out of frame.

Security and compliance

These results are based on side-by-side feature comparisons in April 2025 (ML Kit) and December 2025 (ZXing). For a deeper comparison between Scandit and these libraries, including performance testing results, read our ML Kit Barcode Scanner vs. Scandit and ZXing Barcode Scanner vs. Scandit blogs.

Get an Android barcode scanner that works for you

Prioritizing UX and support for AI coding tools when selecting an Android barcode scanner library makes your life easier. Simplified development, fewer frustrations, and rapid adaptability to growing business demands pave the way toward increased adoption and productivity.

Don't underestimate how much the quality of your scanning technology shapes everything downstream. Posting volume, data accuracy, partner adoption, shopper experience, partner ROI, it all connects back to how fast and reliably items get listed.

Yixin Zhu, VP of Engineering, Flashfood

Next: Dive deeper into how to make a barcode scanning app performant →

Frequently asked questions