Transcription and speaker diarization
Once a recording or imported file is uploaded, Meetingize transcribes the audio to text and splits it by speaker (speaker diarization) automatically, without you having to specify how many people are speaking.
How does transcription work?
Section titled “How does transcription work?”Transcription uses speech recognition based on Whisper, run either on Meetingize’s own infrastructure or, for scale and quality, via a cloud provider. Speaker diarization (figuring out who speaks when) runs as a separate step on top of the transcript.
Which languages are supported?
Section titled “Which languages are supported?”Meetingize supports the same set of languages offered in the language selector in the app (dozens of languages), consistent with Whisper’s multilingual support. You can set your default language in your account settings and override it per meeting.
How do I identify or rename speakers?
Section titled “How do I identify or rename speakers?”The transcript is initially split into generic speaker labels (for example “Speaker 1”). The AI suggests a confidence level (low, medium, high) for who each speaker might be when it can tell from context. You can rename each speaker label to the actual person’s name directly in the app.
Can I edit the transcript?
Section titled “Can I edit the transcript?”Yes. You can edit the transcript text directly. Once you’ve manually edited it, your edit is kept and is not overwritten by later automatic re-processing.
Good to know
Section titled “Good to know”- There is no fixed maximum number of speakers; diarization adapts automatically to the recording.
- Processing time depends on the length of the recording and current load; there is no fixed guaranteed delay shown in the app.