Have you ever updated a technical manual only to realize your supporting video tutorials are now obsolete?
For most teams, video is a static asset in a dynamic world. When written content is updated, videos often remain unchanged, leading to confusion or compliance gaps when visual instructions no longer align with regulated documentation.
In this guide, we'll explore how to move away from manual video production huddles and transform technical documentation into compliant, multilingual videos at scale.
Traditional video production is often a "frozen" process that cannot keep pace with the rapid lifecycle of software releases or regulatory updates. This creates a high-stakes friction point: while your written manuals are updated in hours, your supporting videos can take weeks to re-shoot and re-edit, leading to a dangerous disconnect for the end-user and even compliance risks in regulated industries.
This imbalance results in a high "total cost of video" characterized by four recurring roadblocks:
These bottlenecks exist because traditional video workflows are built for "one-and-done" creative marketing. However, instructional content requires a different engine—one that treats video not as a standalone project, but as a dynamic, updatable extension of your documentation.
The XTM Video Creation Cloud (VCC) is a text-to-video automation platform that automatically creates, localizes, and maintains multilingual videos directly from your source data. Unlike marketing-focused creative tools, VCC emphasizes compliance-driven automation for instructional, training, and support content.
By converting structured technical docs directly into localized videos, VCC provides an end-to-end solution for global content management, ensuring that your global audiences receive up-to-date, brand-aligned, and compliant information.
VCC takes away the friction of manual production by treating your documentation as the foundation for all multimedia. Here is how the automated workflow functions in three simple steps:
Instead of manual storyboarding, you begin by importing your existing structured content—such as DITA or XML—directly from your CCMS or CMS. VCC uses Script Automation to ingest this data and organize your technical text and visual assets into a narrated video script.
Once the script is organized, the platform uses AI-generated narration to create realistic voiceovers and subtitles in over 80 languages. By using structured templates, VCC ensures that every video remains brand-aligned and compliant without the need for manual editing.
Once produced, videos are sent directly to your hosting platforms. Because the process is automated, when the source documentation changes, the video can be regenerated and republished almost instantly, ensuring your video content is always up-to-date.
Yet, instructional videos are only effective if users can find them.
VCC also applies metadata and structured information during video generation, including titles, descriptions, and language attributes. This makes videos easier to index, search, and surface across documentation portals, support centers, and public platforms.
VCC works alongside XTM Cloud, Transifex, and Rigi to support end-to-end content and localization workflows. It reuses existing terminology, language assets, and governance rules so teams can keep text and video aligned across systems.
Teams that moving from manual video production to an automated, documentation-led workflow delivers measurable operational results:
Is your video content struggling to keep up with your technical updates? By automating video creation directly from documentation, you can deliver the visual guidance users expect without adding unsustainable cost or risk.
Want to see how VCC works in action? Book a live demo