How to Translate a Video into Multiple Languages with AI

Creating multilingual videos used to require multiple recording sessions. With AI translation, the same result can now be achieved in a single workflow.

This guide explains how creators translate videos into multiple languages using AI and where this approach is commonly applied.

English Version

Chinese Version (Mandarin)

What You Need Before Translating a Video

To translate a video with AI, you typically need:

• A video with clear spoken audio
• A target language selection
• Optional subtitle preference

No re-recording or editing software is required.

Step-by-Step: Translating a Video with AI

Step 1: Upload Your Video

Start by uploading a video that contains clear speech. AI performs best when dialogue is not heavily obscured by background noise.

Step 2: Select Target Languages

Choose the languages you want to translate into.

At present, common AI workflows support:

• Chinese
• English
• Spanish
• Japanese
• Korean
• Portuguese
• French

Additional languages are typically added as translation models expand.

Step 3: Generate Translated Audio & Apply Lip Sync

AI converts the original speech into translated audio while maintaining natural pacing and pronunciation. The system aligns the new audio with facial movement, ensuring the video looks natural rather than dubbed.

Step 4: Export The Video

Export the translated video. （One free try per day)

Common Use Cases for AI Video Translation

AI translation is widely used in:

• Educational videos
• Marketing and product demos
• Social media content
• Creator videos
• Internal training materials

It allows the same content to reach multiple regions without duplicating effort.

Why Creators Choose AI Translation

Creators value AI translation because it:

• Reduces production time
• Keeps visual consistency
• Eliminates repetitive work
• Enables fast experimentation with new markets

Final Thoughts

Translating videos with AI makes multilingual content creation accessible at any scale. As language coverage grows, this workflow will continue to replace traditional localization methods.