About us

We work so that no one misses a talk because of the language it's in.

Voiser Live is a live translation platform that carries the speaker's words to everyone in the room, in their own language. Attendees scan a QR code, pick their language and listen on their own phone. No interpreter booths, no app.

Group photo of our team: sixteen people around a sofa in the office, wearing polo shirts in the brand colours.
The team behind Voiser Live.
2020the year we started building voice AI
2 million+users in more than 200 countries
2,000+brands use our products
10+AI products

Figures cover every product in the Voiser family.

Our story

We started with voice. Now we're in the room.

We started in Istanbul in 2020 with a platform that turns written text into a natural human voice. Transcription, dubbing, voice cloning and video followed. Today more than two million people in over 200 countries use these products.

We had worked on the same question in museums. In the digital guide for Hagia Sophia and the 77-language audio guide for the Ankara State Art and Sculpture Museum, the goal was for every visitor to hear the story in their own language.

Voiser Live is the live version of that question. At a congress, a conference or a company meeting, the speaker talks in their own language and everyone in the room hears them in theirs, a few seconds behind. Instead of building booths, hiring an interpreter team and handing out headsets, a QR code is enough.

Principles

What we care about

  • We don't claim what we haven't measured

    The latency and audience figures on this site were measured on the running system, not estimated. We only say something works after we've tried it.

  • Nothing to ask of the audience

    No app to download, no account, no queue for headsets. A phone and a QR code are enough, and organisers run the broadcast from a browser.

  • We don't hide the AI

    The listener screen and every downloaded text say clearly that the translation is done with AI.

  • Your data stays yours

    The raw audio of the talk isn't stored. Transcripts are deleted after 12 months by default.