Adobe RoboHelp 2022

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Adobe RoboHelp 2022 is the latest version of the popular Help Authoring Tool (HAT) from Adobe, designed to make it easier for organizations to create and manage online content for their end-users. With Adobe RoboHelp 2022, organizations can quickly and easily create online help systems for their customers and employees, as well as providing them with a variety of resources to troubleshoot and use their systems more effectively. It gives organizations the ability to easily migrate existing Honeywell System Offline applications and content to a more effective online system, while keeping their existing HelpSystems logo and style.

RoboHelp 2022 helps organizations swiftly build comprehensive help topics and content to support product launches, customer onboarding, customer training and more. The increased scalability and improved performance of RoboHelp ensure that teams can quickly create and manage dozens to thousands of help topics in various languages. Organizations have the ability to customize RoboHelp output and develop modern deliverables including Web, Mobile, PDF, and Kindle, ensuring consistent user efficiency and maximum reach.

RoboHelp 2022 features such as localization, xml import, and support for business models like AEM and DITA, give organizations the ability to quickly create and manage content for their customers. The advanced HTML 5 filtering feature in RoboHelp gives organizations increased content control and allows users to filter, view and sort content based on their preferences. In addition, the multi-device preview window lets users preview topics and designs across devices, making it easier to publish help topics that look great on any device.

Adobe RoboHelp 2022 is the perfect helping tool for organizations looking to create an online help system that reflects their corporate identity and brand. With improved performance and scalability, organizations can quickly create and manage helpful content for their customers and employees that will ensure the highest degree of user efficiency.

Last updated: 2023-04-27

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