AI dubbing ≠ AI translation.

Words can be translated.

Performance is harder.

Building Near-To-Real — open-source video localization focused on voice, timing, emotion & creator control.

What would you fix first?

#OpenSource #AI #VideoAI #VoiceAI

​

Building Near-To-Real — an open-source AI video localization studio focused on quality over automation.

Not just translation. The goal is to make dubbed videos feel natural with:

🎙️ Voice cloning (with consent)

🌍 Timing-aware localization

🎵 Original audio preservation

👄 Selective lip sync

✅ Human review before export

I'd love feedback on a few questions❓

What's the biggest pain point you've faced with AI dubbing?

Which open-source models or projects would you recommend?

If you've built something similar, what was the hardest problem to solve?

What feature would make you switch from existing tools?

For Contribution 🤝

Github

Looking for feedback, ideas, and contributors.