How AI Video Localisation Works

AI video localisation, also spelled video localization, adapts a video for new languages and regions. It typically combines transcription, translation, localisation, subtitles or dubbing, optional lip sync, and human review.

It goes beyond simple translation by adjusting subtitles, dubbing, lip sync timing, and phrasing so the result feels natural to the target audience. Human review is often used to catch accuracy, pronunciation, and brand tone issues.

AI video localisation is commonly used for training, marketing, product updates, internal communications, and global content distribution.

Why teams use AI video localisation

Organisations often create strong video content that cannot be reused globally without significant effort. This usually sits inside a broader AI assisted content workflow.

AI video localisation helps solve problems such as:

• High cost of producing separate videos for each language
  
  

• Slow turnaround for translated or dubbed content
  
  

• Inconsistent tone across regions
  
  

• Limited reach due to language barriers
  
  

• Manual workflows that do not scale
  
  

How to create a localised video, step by step

An AI video localisation workflow follows a structured sequence to produce a localised video that feels natural in the target language.

1) Extract the speech and create a transcript

Speech recognition converts the original audio into text. This transcript becomes the base layer for translation and adaptation.

2) Translate the transcript

The transcript is translated into the target language, focusing on meaning rather than word for word conversion.

3) Localise the language and delivery

Localisation refines phrasing, tone, and terminology so the message lands naturally for the audience. Cultural references, pacing, and formality are adjusted where needed.

4) Create subtitles or new audio

Subtitles, voiceover, or dubbing are generated and aligned to the video. This can include subtitles synced to timing, AI generated voiceovers, and AI video dubbing and lip sync that replaces the original speech.

5) Apply lip sync if required

If the video is presenter led or close up, lip sync can adjust mouth movements to better match the new audio and improve realism.

6) Produce and export the final localised video

The new audio or subtitles are combined with the original video, then exported ready for publishing.

Subtitles vs Dubbing vs Lip Sync

Subtitles work best when you need speed, accessibility, and low cost, and when the audience can read comfortably while watching.

Dubbing works best when you want a more natural viewing experience, especially for training, product demos, and presenter led content.

Lip sync dubbing adds realism by aligning mouth movements with the new audio, which matters most in close up, talking head, or high trust videos.

A simple rule of thumb is subtitles for fastest rollout, dubbing for the best experience, and lip sync when on camera delivery needs to feel native.

What is a localised video

A localised video is a version of an original video that has been adapted so it feels natural in another language or region, not just translated.

It may include translated subtitles, dubbed audio or voiceover, on screen text changes, timing and pacing adjustments, optional lip sync, and human review for accuracy, pronunciation, and brand tone.

The goal is for the localised video to match the viewing experience of the original, while sounding native to the target audience.