When searching for barcode SDK online, you can find lots of free and commercial SDKs. However, there are only a few of SDKs cross-platform, which is why Dynamsoft Barcode Reader is outstanding. Dynamsoft Barcode Reader SDK supports Windows, Linux, macOS, Android, iOS, and Raspberry Pi. Currently, the latest DBR 6.0 is better and faster than the previous version. The imperfection is it only supports Windows so far. If you need an SDK available for all platforms, please choose DBR 5.2. The post will help developers create a Node.js barcode reader with DBR 6.0 on Windows.
If you have tried out Dynamsoft Barcode Reader 6.0, you may have noticed the new template feature. The new SDK version supports importing parameters from JSON-format template files. How to create the template files? One way is to visit the barcode online demo, select some arguments and then download the template file. The other way is to write a JSON file by yourself. When writing a JSON file line by line, there is a problem that how to write valid data. The workaround is JSON Schema. JSON Schema is a vocabulary that allows you to annotate and validate JSON documents. To facilitate developers, I created a basic JSON Schema for Dynamsoft Barcode Reader template files.
Two years ago, I created a sample for demonstrating how to wrap Dynamsoft Barcode Reader 4.2, a C++ barcode library, as an extension for PHP5. How time flies, the latest barcode library is up to version 5.2. Meanwhile, many developers start to write web program in PHP7. This post will help PHP developers figure out how to build a PHP barcode reader on Ubuntu 16.04 with DBR 5.2 and PHP7.
Dynamsoft Barcode Reader 6.0 SDK is the best version ever. It dramatically improved barcode detecting speed and accuracy, especially for multiple barcodes per frame. Since there are some new APIs and parameters, I have to update both C++ and Python code for the Python barcode extension that was built with DBR 5.2 correspondingly.
Dynamsoft Barcode Reader 6.0 is on the way. The major upgrade version improves the performance of barcode detection and recognition dramatically. It is over two times faster than version 5.2. In this post, I will disclose some new features and demonstrate the corresponding APIs.
OpenCV is written in C++. If you install OpenCV library on Windows, you will see OpenCV officially provides wrappers for Python and Java but not for C#. Fortunately, there are many .NET open source projects for wrapping OpenCV C++ APIs, and thus we don’t need to write a wrapper from scratch. In this post, I will share how to use OpenCV library and Dynamsoft Barcode Reader SDK to create a .NET barcode reader app on Windows.
Dynamsoft finally released Barcode Reader SDK v5.2 for Raspberry Pi. It is time to make an update. In this post, I will show you how to install the SDK, as well as how to write a simple Raspberry Pi barcode app using C/C++ and Python.
When porting code from Python 2 to Python 3, it is not as easy as you imagined no matter whether the primary programming language is Python or C/C++. Re-compiling the Dynamsoft Barcode extension for Python 3 is a challenge because I only found a few of documentation and resources online. Luckily, I succeeded in using Python 3 compatible APIs after reading the source code of Numpy.
A few weeks ago, Apple released Swift 4.0 which is available for macOS and Ubuntu 14/16. In this post, I will share how to implement a simple Swift barcode reader (command line tool) with Dynamsoft Barcode Reader SDK for Linux.