
Translate, dub and localise video from one workspace.
Source media, language selection, voice settings, subtitles, lip synchronisation and export controls are brought together in a single workflow.
Hatek Lingua AI is already functional through private access. It takes a source video, translates the spoken content into another language, generates target-language speech and adjusts visible mouth movement to match the translated audio.
Current private access covers the core end-to-end workflow with selected test languages and controlled use cases. The broader programme targets more than 100 languages, including 50 African languages; those figures describe planned coverage rather than current language availability.

Hatek Lingua AI brings translation, voice, video localisation, subtitles and project management into one connected workspace.
Access is currently private while the team continues testing quality, reliability and selected language workflows ahead of broader customer availability.

Source media, language selection, voice settings, subtitles, lip synchronisation and export controls are brought together in a single workflow.

Language selection, tone, terminology and formatting controls support fast translation across different content types.

Audio, transcripts, speaker handling, voice settings and export options are managed in one place.

Subtitle timing, language, styling and export controls are designed around video localisation workflows.

Projects, processing status, language combinations and recent activity can be tracked from a shared workspace.
A company that wants one video in several languages may need translation, voice recording, audio editing, video editing and quality review for every language.
Hatek Lingua AI brings those stages into one software workflow. A user can provide a source video and choose a supported test language; the system processes the speech, produces translated audio and creates a version in which the visible speaker is synchronised to the translated speech.
Each stage solves a different part of the localisation problem. The quality of the final result depends on the stages working together.
Detect what is being said, who is speaking and when each segment occurs.
Translate the meaning of the spoken content into the selected target language.
Generate intelligible target-language speech with appropriate pronunciation and timing.
Adjust the speaker's visible mouth movement so it follows the translated audio.
Check translation accuracy, pronunciation, timing, visual consistency and known failure cases.
The target is more than 100 languages overall, including 50 African languages.
Supporting a language well requires more than adding its name to a list. The development work includes speech data, translation quality, pronunciation, dialect and accent handling, native-speaker evaluation and testing on real video conditions.
See the language programmeThe product is intended for both high-volume professional localisation and smaller teams that cannot manage separate dubbing workflows for every language.
Translate interviews, documentaries, programmes and digital video for additional audiences.
Make lectures, courses and training videos understandable to learners in different languages.
Publish localised versions of creator videos without rebuilding the production from the beginning.
Localise employee training, product education and internal communication.
Create additional language versions of news, interviews and regional programming.
Translate health, civic, safety and community information for multilingual audiences.
Current work is organised around language quality, model improvement, end-to-end reliability, evaluation and the preparation of measurable customer pilot use cases.

The system has to work with real speakers, camera angles, audio quality, pacing and background conditions rather than only clean laboratory samples.

Automated metrics are useful, but native-speaker review is important for meaning, pronunciation and naturalness.
The core workflow is already working privately. Current development is focused on improving quality, validating selected languages and preparing controlled customer pilots before public release.
We are interested in working with language experts, researchers, media organisations, educators, infrastructure partners and investors who can contribute to the development or validation of Hatek Lingua AI.