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MJET Labs
Real-time AI voice translation for livestreams
MJET Labs turns one livestream into multiple translated voice broadcasts for platforms like YouTube, Twitch, and Facebook. It combines live transcription, translation, AI voice generation, and restreaming without requiring a custom video player or separate event platform.
We built MJET Labs after seeing how hard it can be for people to fully understand live sermons, teachings, and events when they are not in their native language.
Captions help, but when the message becomes deeper, emotional, or more theological, reading subtitles is not always enough. Many churches also rely on phone interpreters, but the quality can vary a lot, and the cost can be hard to sustain.
One early moment that stuck with us was when a Ukrainian woman tried the product and was genuinely excited because the translation quality felt much better than what she was used to from phone interpretation.
That helped confirm the problem for us: people do not just need translation. They need a way to hear the message clearly, naturally, affordably, and reliably in their own language.
MJET turns one livestream into multiple translated voice broadcasts using live transcription, translation, AI voice generation, and restreaming.
The product is live now, and we’re continuing to improve it with feedback from churches, creators, schools, conferences, and live event teams.
If you have ever tried to make live content accessible across languages, I’d love to hear what was hardest about it.
About MJET Labs on Product Hunt
“Real-time AI voice translation for livestreams”
MJET Labs was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #42 on the daily leaderboard. MJET Labs turns one livestream into multiple translated voice broadcasts for platforms like YouTube, Twitch, and Facebook. It combines live transcription, translation, AI voice generation, and restreaming without requiring a custom video player or separate event platform.
On the analytics side, MJET Labs competes within Video Streaming and Artificial Intelligence — topics that collectively have 481k followers on Product Hunt. The dashboard above tracks how MJET Labs performed against the three products that launched closest to it on the same day.
Who hunted MJET Labs?
MJET Labs was hunted by Raymond Fam. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MJET Labs including community comment highlights and product details, visit the product overview.
Raymond Fam
Hey Product Hunt! 👋
We built MJET Labs after seeing how hard it can be for people to fully understand live sermons, teachings, and events when they are not in their native language.
Captions help, but when the message becomes deeper, emotional, or more theological, reading subtitles is not always enough. Many churches also rely on phone interpreters, but the quality can vary a lot, and the cost can be hard to sustain.
One early moment that stuck with us was when a Ukrainian woman tried the product and was genuinely excited because the translation quality felt much better than what she was used to from phone interpretation.
That helped confirm the problem for us: people do not just need translation. They need a way to hear the message clearly, naturally, affordably, and reliably in their own language.
MJET turns one livestream into multiple translated voice broadcasts using live transcription, translation, AI voice generation, and restreaming.
The product is live now, and we’re continuing to improve it with feedback from churches, creators, schools, conferences, and live event teams.
If you have ever tried to make live content accessible across languages, I’d love to hear what was hardest about it.