Translating a course used to mean re-recording it, scene by scene, by a native voice actor in a studio. That cost $5,000–$15,000 per finished hour and took 6–10 weeks per language. AI translation with neural re-narration has changed that fundamentally — and 2026 is the year it became indistinguishable from human delivery for most subjects.
How it works
A modern course translation pipeline: extract the source transcript, machine-translate to target language with subject-aware glossaries, run a domain-trained QA pass, regenerate the audio with a neural voice tuned to the original speaker's timbre and pace, re-time captions, and re-render the video. The whole loop runs in hours, not weeks.
Languages that matter for global learners
For Indian institutions: Hindi, Telugu, Tamil, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, Odia. For MENA: Modern Standard Arabic. For ASEAN: Bahasa Indonesia, Bahasa Malaysia, Tagalog, Vietnamese, Thai. For Africa: French, Portuguese, Swahili. DeepTech Course Translation covers 60+ languages.
Pick the right pilot
Start with one popular course and translate it into your single largest non-English learner segment. Measure completion rate and NPS before and after. The lift is usually 2–4x. Then scale.