Video localization is still painfully manual. Translate here, generate voices there, edit somewhere else. STRA turns the entire dubbing workflow into one tool. Upload a video and instantly generate translated subtitles, natural AI voices, and time-synced dubbing. Then refine everything in a single professional editor. Built for media teams, YouTubers, and localization pros who need fast global publishing. Stop juggling tools. Turn any video into a global version in minutes.
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Maker
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Hi Product Hunt 👋
I’m Yongho, Kim, the founder of STRA AI, and we built this because video localization is still surprisingly painful.
When teams want to release content globally, the workflow usually looks like this:
translate the script in one tool, generate voice in another, edit timing in a video editor, then repeat the process again when something breaks.
It’s slow, fragmented, and expensive.
So we built STRA AI to simplify the entire process.
With STRA, you can:
• Upload a video
• Automatically generate translated subtitles
• Create natural AI dubbing
• Edit timing and voice directly in one editor
All in a single workflow.
Our goal is simple: make global video publishing as easy as uploading a file.
We’re especially building this for:
– media companies
– YouTubers
– localization teams
– anyone distributing video internationally
We’re still early and would genuinely love feedback from the Product Hunt community.
If you work with video, dubbing, or localization, I’d love to know:
What is the most painful part of making videos global today?
Thanks for checking out STRA 🙏
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Really interesting timing on this. AI voice and audio processing is getting so much better so fast. How does STRA handle preserving the original speaker's tone and emotion during dubbing? That's always been the hardest part with localization — the translation can be perfect but if the voice feels flat it kills the content. Also curious if you handle music/background audio separation or if the source video needs clean dialogue tracks.
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@mattias_s Appreciate you picking up on the things that actually matter in dubbing.
On emotion: we use voice cloning to capture the original speaker's characteristics. For cases where cloning isn't the right fit, our directing tools let you shape performance directly.
On audio: BGM separation is on by default. If you already have clean tracks, you can turn it off and bring those in directly.
Most of the workflow is automated, but the editing layer is detailed enough for professional use — we've delivered dubbed content to broadcast networks, so that's the bar we hold ourselves to.
Really interesting timing on this. AI voice and audio processing is getting so much better so fast. How does STRA handle preserving the original speaker's tone and emotion during dubbing? That's always been the hardest part with localization — the translation can be perfect but if the voice feels flat it kills the content. Also curious if you handle music/background audio separation or if the source video needs clean dialogue tracks.
@mattias_s Appreciate you picking up on the things that actually matter in dubbing.
On emotion: we use voice cloning to capture the original speaker's characteristics. For cases where cloning isn't the right fit, our directing tools let you shape performance directly.
On audio: BGM separation is on by default. If you already have clean tracks, you can turn it off and bring those in directly.
Most of the workflow is automated, but the editing layer is detailed enough for professional use — we've delivered dubbed content to broadcast networks, so that's the bar we hold ourselves to.