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DocumentationCorrecting Speaker Names in Transcripts

Correcting Speaker Names in Transcripts

Groupthink separates a meeting's audio into individual speakers as it transcribes. Until you tell it who's who, those speakers show up as generic labels like Mic Speaker 1 or Conference Speaker 1. Assign a label to a participant once and every line that speaker said — earlier in the meeting and for the rest of it — switches to that person's name and avatar.

This matters beyond a tidier transcript. The name you assign is the attribution Groupthink uses to build each person's profile and surface what they said in your briefs. Getting it right means the right intel lands on the right person.

Assign a speaker

You can do this during a live meeting or afterward on the recap.

  1. Open the transcript — in a live meeting it's in the center column; on a finished meeting, go to the Recap tab and scroll to the Transcript section.
  2. Click a speaker label (for example, Mic Speaker 1).
  3. Pick the person from the list of meeting participants.

Every line from that speaker updates to the participant's name and avatar right away. There's no separate save step.

Good to know

  • It applies to the whole meeting. Mapping a label reassigns all of that speaker's lines at once, not just the one you clicked.
  • It keeps working for the rest of the meeting. New lines from a mapped speaker come in already attributed.
  • You can change it. Reassign a label to a different participant and the lines move over.
  • It syncs. If a teammate has the same meeting open, your change shows up on their screen too.
  • Only meeting participants appear in the list. If the person you want isn't there, they weren't on the meeting Groupthink captured.

Why a speaker stays unlabeled

A label like "Mic Speaker 1" just means Groupthink heard a distinct voice it couldn't match to a name on its own — usually someone dialing in on a shared line or a device whose audio doesn't carry a participant name. Assign it yourself and it's fixed for good.

Overlapping speech, heavy background noise, or a room mic picking up several people can also blur who's speaking. A headset or dedicated microphone gives the cleanest separation. See Known Issues for more on transcription accuracy.