How many languages can I generate an AI avatar video in, and how does dubbing work?

An AI avatar video can be generated in over 100 languages, with the same presenter. Dubbing is not an audio track glued over the picture: lip sync is recomputed for the new language.

Short answer

You can generate videos in over 100 languages and regional variants, with natural voices.
The same avatar speaks in any of them — the presenter stays consistent across every market.
Dubbing translates the script, generates audio in the new language and rebuilds lip sync on that audio.
Each language stays a separate version, with its own link, its own subtitles and its own analytics.
Machine translation is a good starting point, but specialist terms deserve a native speaker's review.

How dubbing works, step by step

Start from the already approved video in the source language and from its script.
The script is translated into the target language, and you can correct the translation before generating.
New audio is generated with a voice suited to the language, keeping the original version's tone.
Lip sync is recomputed on the new audio, so the avatar genuinely speaks that language.
Subtitles are regenerated and the version is published, with its own link for that market.

What to check before publishing a new language

Specialist terms and internal names — exactly what machine translation tends to get wrong.
Proper names, product names and abbreviations: are they pronounced correctly, or must they be written phonetically?
Figures, dates and units, which are read differently from one language to another.
Sentence length: a longer translation changes the pace, so it sometimes needs shortening.
A final read-through by a native speaker, especially for compliance or safety messages.

A practical example

A manufacturer with plants in Romania, Poland and Hungary has to communicate a safety procedure change. The team writes the script once, generates the video with the brand avatar in Romanian, then dubs it into Polish and Hungarian. A native-speaking colleague at each plant checks the technical terms before publishing, and all three versions go live the same day.

Common dubbing mistakes

Publishing machine translation with no human review, especially for compliance content.
Translating the script but leaving the examples, screenshots and proper names in the original language.
Choosing a voice with a strong regional accent for a market with a diverse audience.
Using a single link for every language, so you can no longer see what worked in each market.

How 4avatars helps

In 4avatars translation and dubbing happen in one click, from the same project: the same avatar, the same brand kit, the same scene, with audio and lip sync rebuilt for each language. You can correct the translated script before generating, and each version has its own link and its own analytics, so you see what works in each market.