Visual Translate by Vozo - Translate text in your videos without recreating visuals

@gm_c Yes, we do support voice translation.

You can use our Translate & Dub feature to translate the spoken audio and generate a new voice in the target language:
https://www.vozo.ai/video-translate

@gm_c  Thanks for your question! Yes, we do! Give it a try, and let us know what you think :)

@frey_loong Thanks! Product demos are definitely a great use case.

Right now we don’t translate UI elements by default, since in many cases the interface needs to stay consistent with the actual product.

But we can translate the explanatory text around the UI—things like labels, callouts, or annotations. And if you do want to translate something inside the UI, you can always select it in the editor and regenerate the translation.

@stella_yu5 Good question.

In the current beta version, we mainly support entry and exit animations for on-screen text. For kinetic typography or text that keeps moving within the frame, the results may not be perfect yet.

Visual Translate currently works best with videos like slides and explainers, where text animations are relatively simple. Supporting more complex motion is something we’re actively working on next.

@stella_yu5 Hi Stella, thanks for your question! Here’s a demo of a Gemini intro video we translated. It’s very close to the use case you mentioned, so feel free to check out the result.

@stella_yu5 Thanks for the great question! In the current beta, complex motion like kinetic typography may not always translate perfectly. We’re actively working on updates to improve support for more advanced animations.

@dharmikp1908  Thanks for the thoughtful comment — you’re absolutely right that translating on-screen text is a much harder layer.

For complex scenes where text moves or changes, the current beta version mainly supports entry and exit animations. Continuous motion (text that keeps moving within the frame) is still challenging and not something we handle perfectly yet.

Right now Visual Translate works best with videos like slide videos and explainers, where text appears with relatively simple animations. Supporting more complex motion and dynamic scenes is definitely something we’re working on next.

Really appreciate the encouragement and the great use cases you mentioned!

@dharmikp1908 Thanks for your question, Dharmik. Regarding your last question, here is a demo of where we translated a Gemini intro video with lots of animations and changes, hope it helps :)

@handuo Thank you so much, Handuo! You captured it perfectly — we wanted to eliminate the need for separate production workflows for every language: no long turnaround, no messy source files, just a clean, simple, and efficient workflow.

@handuo Thanks so much for the thoughtful comment! Really appreciate the support.

@aitubespark I can see that you’re an experienced multilingual video creator, and you’re absolutely right — the challenging part is how to translate the video without disrupting the visuals.

We generally think about this problem in two parts. The first is fully understanding the video content, and the second is correctly generating the translated output.

We’re confident that our system performs well in the first part, especially when it comes to detecting and understanding the text layer in the video. For the second part, you may still see some artifacts in cases with complex or moving backgrounds. However, once the translated text is placed, the overall result usually becomes much cleaner.

Our goal is to make translation blend naturally with the visuals without disrupting them, and it’s something we’re continuously improving.

Feel free to give it a try and see how it works for your videos. We’d love to hear your feedback.

@jscanzi You’re absolutely right — that’s exactly the gap we’re trying to solve. In most localization workflows, audio dubbing and subtitles are handled, but the on-screen text (slides, UI, lower thirds, etc.) remains in the original language, which breaks the experience.

For complex backgrounds or motion graphics, we handle it in two stages:

1. Text detection and understanding

Our AI analyzes the video frame-by-frame and uses surrounding frames to infer the text layer. This helps it detect text even when it’s partially occluded or blended into the background.

2. Visual reconstruction

Once the text layer is identified, the system regenerates the translated text while trying to preserve the original layout, position, and styling so the result looks natural in the video.

That said, the hardest cases are still heavily animated backgrounds or fast-moving text, where artifacts can occasionally appear. We’re actively improving the rendering side of the system to handle those scenarios better.

But for a lot of real-world cases — slides, product demos, UI recordings, training videos, and lower thirds — the results are already quite solid and remove a big manual step from localization workflows.

@jscanzi You're exactly right — that's the gap we wanted to close.

Our approach is to reconstruct the background behind the original text and render the translated text back into the video, so the visual layer stays consistent.

@hassan50306 Thanks so much! Really appreciate the support

@zongze_x Exactly. That’s one of the main use cases we see. Creators can quickly localize a video and test how it performs in different markets without recreating the visuals.

@zongze_x Yes! That’s one of the things we’re excited about.

@tereza_hurtova Thanks! Our system tries to preserve the original styles and positions of the text as much as possible so that the translated result looks similar to the original video.

For complex slides, the results can vary. In most cases the system works well, but there may still be some artifacts when text appears on heavily moving or complex backgrounds.

Mixed languages are a great point as well. Currently, users need to select the primary source language, and text in other languages may not be automatically translated. However, we provide a “re-recognize” feature, which allows you to select a specific region for additional detection. This will add the newly detected text into the text layer so it can also be translated.