Video Effects SDK updates — March 2023

Web#

Introduced Electron Integration with Native Segmentation backend.

Electron is a popular open-source framework for building cross-platform desktop applications using web technologies such as HTML, CSS, and JavaScript. One of the most widely adopted use cases for Electron is in the development of video conferencing applications.

Video conferencing has become an essential part of modern communication, and with the growing demand for remote work, the need for reliable and user-friendly video conferencing tools has increased significantly. Electron-based applications have emerged as a popular solution to this challenge due to their ability to offer native-like performance and functionality across multiple platforms.

One of the most popular Electron-based video conferencing applications is Microsoft Teams. With over 250 million monthly active users, Microsoft Teams has become one of the leading collaboration tools in the market. Teams uses Electron to build a high-performance desktop application that seamlessly integrates with Microsoft's suite of productivity tools, such as Word, Excel, and PowerPoint.

Another popular video conferencing application provided Electron wrapper is Zoom. Zoom's success in the market has been attributed to its ease of use, feature-richness, and reliable performance across different devices and operating systems.

The popularity of Electron in video conferencing can be attributed to several key factors. First, Electron application is cross-platform and based on one codebase, this allow to developers ship application faster and save the development costs. Second, Electron-based applications offer a high level of customization, which allows developers to create a unique user experience that meets the specific needs of their users. Third, Electron applications can be easily integrated with other technologies, such as web APIs and databases, which makes it easy to add new features and functionality.

Integrating a segmentation backend natively can take the quality and speed of segmentation to the next level while also reducing resource consumption such as CPU and GPU. This performance optimization is crucial for video call applications, as it ensures a smoother customer experience with high responsiveness and minimal battery drain on laptops.