Transync AI: how it works and what the other side of the call gets

Transync AI is a botless translation app: you run it on your own computer next to Zoom, Google Meet or Microsoft Teams, and it translates the call for you. It does not appear in the participant list. That is its main strength, and also the limit of what the other side gets. This page sets out what Transync itself says it does, what that means for the person on the other end of the call, and when a different design fits better.

Everything about Transync below comes from its official pages, listed under sources and read in October 2026. Features and plans change, so confirm anything critical there.

What Transync AI says it is

Transync describes itself as a meeting-first real-time translation platform for multilingual meetings, calls and in-person conversations. From its pages:

• Languages: 60+ languages and 1,770+ language pairs.
• Apps: web, Windows, macOS, iOS and Android.
• Platforms named: Zoom, Microsoft Teams and Google Meet.
• Output: bilingual subtitles, floating captions, AI voice playback, speaker separation, transcripts and AI meeting notes.
• Data: customer data is not used for AI training, and audio is deleted after processing, according to its facts page.
• Not for: its own facts page says high-stakes legal, medical or formal events may call for human interpreters.

How it captures audio

You download the app, open it before the call, choose a language pair, tick the computer-audio option and start. It listens to what your computer plays, distinguishes speakers, and returns subtitles and optionally a translated voice. Other attendees do not need an account.

The same design has a practical consequence. It is useful when you join a client's call, cannot ask for a third-party participant to be admitted, or work under a policy that restricts meeting bots. The translation lives on your device, so the quality of what you get depends on that one machine and its audio setup.

What the other side of the call experiences

This is the part most comparison pages skip. With a botless app, the other side of the call gets only what the host chooses to push out:

1. Nothing, if you only read subtitles privately.
2. Subtitles, if the host shares the screen.
3. A translated voice, if the host enables voice broadcast or routes a virtual microphone, so the guests hear synthetic speech through the host's microphone instead of the host's own voice.

So a guest cannot pick their own language, cannot follow in a second window, and cannot continue if the host's computer drops out or changes audio devices. For a one-to-one call where you are the only person who needs help, that is fine. For a call where several people speak different languages, each person needs their own channel.

An in-call translator takes the opposite approach. Akume joins as a participant, so captions appear on its tile inside the call. Every guest can also open a listener link (up to 500 connections per session) and hear the translation spoken in their own language, in a browser with no install and no account. One meeting can run 2 to 10 languages at once.

Transync AI vs JotMe, an in-call bot and native features

Native features exist, but they are gated. As of October 2026: Google Meet speech translation needs a paid Workspace edition and covers English with Spanish, French, German, Portuguese and Italian; the Teams Interpreter agent needs a Microsoft 365 Copilot license and supports nine languages; Zoom translated captions come with certain paid plans or an add-on. Russian, for example, is missing from the Meet and Teams voice lists above. See the sources for current details.

When Transync AI fits, and when an in-call bot does

Transync AI fits when:

• you are the only person who needs translation;
• you cannot add a bot to the meeting, or the other side prefers not to see one;
• you want notes and transcripts alongside live subtitles on your own device.

An in-call translator fits when:

• several guests speak different languages and each needs their own;
• the other side should read or hear the translation without setting anything up;
• the host does not want to depend on one machine's audio routing during a client call.

Neither is better in general. If you are still weighing the wider field, the guide to the best translator for calls sorts tools by job, Google Translate voice covers the free general-purpose option, and ChatGPT as a translator explains why a text assistant is a different tool from live call translation.

How to compare any translator in three questions

1. What does the other side have to do? Nothing, install an app, or open a link?
2. Who controls the translated voice? One host's machine, or each listener?
3. What happens to the audio? Read the vendor's own data statement, not a third-party summary.