Vozo AI, an AI-powered video localization platform, has officially announced the beta launch of Visual Translate, a new generative AI capability designed to automatically translate on-screen text in videos while preserving the original design, layout, and animations. With this release, the company aims to solve a long-standing limitation in AI-powered video translation.
Traditionally, most video translation tools have focused primarily on subtitles and dubbing. While these features successfully translate spoken dialogue, they often overlook another crucial element text embedded within the visuals themselves. As a result, viewers may understand the narration but still struggle to fully grasp the context when labels, charts, slides, or diagrams remain in the original language.
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To address this challenge, Vozo AI developed Visual Translate, a feature that works directly with the video file and localizes on-screen text without requiring the original editing project. Consequently, organizations can now translate both spoken and visual information seamlessly, ensuring that international audiences receive the same clarity as native viewers.
In many types of content such as corporate training materials, product demonstrations, and educational explainers important information frequently appears within visuals. For example, presenters often use slide text, annotations, charts, or step-by-step labels to guide viewers through complex processes. However, when these elements remain untranslated, global audiences may miss key insights despite understanding the audio narration.
Therefore, Visual Translate focuses on bridging this gap by introducing several automated capabilities. First, the tool works directly from the video itself, meaning users do not need access to the original project files or editing software. Additionally, the platform can automatically detect and translate on-screen text embedded within the video frames. At the same time, it carefully preserves the original layout, styling, and animations, ensuring that the translated content appears natural and visually consistent.
Moreover, the system offers further flexibility by allowing users to edit and customize translated elements, including fonts, colors, and text positioning. This level of control helps teams maintain brand consistency while adapting content for different languages and markets.
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During the alpha testing phase, the technology already demonstrated significant efficiency improvements. A multinational manufacturing company used Visual Translate to localize slide-based training videos for its global workforce and distributor network. Instead of manually editing visual elements in multiple languages, the organization translated the entire video content including visuals into nine languages directly within the platform.
As a result, the company reduced its localization time by more than 96 percent, transforming what previously required two full days of manual editing into a process that took only 30 minutes. This dramatic improvement highlights the potential for AI-driven automation to streamline complex content localization workflows.
Furthermore, by automating a process that traditionally required extensive manual effort, Visual Translate represents a broader shift in the evolution of AI video translation. Rather than focusing solely on subtitles and dubbing, the technology moves toward complete video localization, where both spoken and visual elements communicate meaning effectively across languages.
This capability is particularly valuable for industries such as education, corporate training, and marketing, where visual instructions, charts, and on-screen labels often carry critical information. By translating these elements accurately, organizations can ensure that their global audiences receive consistent and clear messaging.
“Most video translation tools focus on speech,” said Dr. CY Zhou, Founder and CEO of Vozo AI. “But in many videos, meaning is conveyed visually through slides, diagrams, and on-screen text. Visual Translate fills that missing layer, enabling truly complete video localization and allowing ideas and knowledge to move across languages with far greater clarity and impact.”
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