What is multilingual transcription?
Multilingual transcription converts speech in multiple languages into written text. A multilingual system can identify or handle more than one spoken language instead of requiring an entire conversation to remain in a single preset language.
Can AI transcribe a meeting where people switch languages?
Yes. Flownote's current desktop transcription uses automatic spoken-language identification and can follow language changes within a stream. Accuracy still varies with audio quality, overlapping speech, accents, names, and specialized vocabulary.
Can Flownote translate a Zoom, Google Meet, or Microsoft Teams meeting in real time?
On desktop, Flownote captures computer audio and can show one-way translated text alongside the original transcript while a call is happening. It works at the device-audio layer rather than as a native Zoom, Google Meet, or Teams integration.
Does Flownote identify speakers and languages automatically?
Yes. Speaker diarization and spoken-language identification are enabled in the current desktop real-time transcription workflow.
Can I see the original transcript and translation together?
Yes. During a desktop recording, Flownote can keep the original text visible and add a translated text line beneath each speaker in the target language you selected.
How many languages does Flownote support?
The current desktop translation picker offers 60 target languages, and the underlying Soniox real-time transcription and translation documentation describes support across 60+ languages. Language availability can change as the implementation evolves.
Is the translated transcript saved after the meeting?
Do not assume so. Live translation currently helps you read the conversation as it happens, while the finalized transcript and post-meeting notes are based on the original-language transcription.
Is live translation the same as a human interpreter?
No. Flownote provides automated translated text, not human interpretation or speech-to-speech audio. Use a qualified interpreter for high-stakes conversations where nuance and verified accuracy are essential.