Employee onboarding is the process of getting a new hire set up within your company's system and ready to go. This usually comes with loads of paperwork for the HR department to fill out, or even type in. I can almost guarantee you that there isn't an HR rep that enjoys inputting all of this data. What could be tedious, error-prone data entry can be done in a matter of seconds with perfect accuracy when using the LEADTOOLS Barcode SDK and the AAMVAID class.

The LEADTOOLS HTML5 / JavaScript interface was built with more than just web-based, cross-platform application development in mind. Did you know you can also create native and hybrid apps that can be published to mobile application stores for iOS, Android and Windows Phone? That is actually the case for almost any HTML5 application, but there are libraries and tools that help make that process easier.

One such tool is Intel XDK. In the same way that LEADTOOLS expedites and simplifies all of your imaging requirements such as display, annotations, OCR, barcode, DICOM, PACS and more, Intel XDK helps with the deployment and device integration aspect. Need access to the camera, local files and more? Want to write only one application and deploy it to multiple app stores? This is all possible with Intel XDK, and LEADTOOLS plugs into this innovative development environment without a hitch.

As you may have heard, we recently released an update to LEADTOOLS mobile technologies. Part of the update included new demos, which we wanted to highlight with some new marketing videos. After some research, I determined that ADB (Android Debug Bridge) and a batch file was going to be the best way to capture videos and screens of the demos on the device. In this setup, I was able to run a command in the console to start the capture and pull the file from the device to my local file system with one command. After almost breaking the USB connector in my phone, I figured out how to do it over Wi-Fi.

The LEADTOOLS Imaging SDK for iOS, macOS, and Android had a significant update recently! Across the board, the OCR engine has been made 3-6x faster and the demo UI was given a significant redesign. In addition, each platform has its own set of platform-specific updates.

Android

• Barcode demo code was rewritten, resulting in a much faster implementation
• Added support for android.hardware.camera2, which means live capture support for all modern devices

Apple

• ALL libraries are now dynamic
• Updated interface for better Swift compatibility

If you want to try the latest version, you can download from here. Additionally, we have various sample applications on the App Store and Google Play available as well.

We are excited to announce a new resource for our Android developers: Maven artifacts! In addition to our usual .zip package, we now have a Maven repository to make it even easier to develop Java apps for Android. For example, all you need to do is add the following line to our build file: