How to Transcribe a Google Meet Recording

Google Meet can record your call, but the result is a video file in Google Drive — easy to rewatch, hard to search, quote or turn into minutes. Here is the fastest way to convert that recording into clean, speaker-labeled text you can edit, share and export.

Step 1 — Find the recording in Google Drive

Meet saves recordings to the organizer's Google Drive, in a folder called "Meet Recordings" (a link also lands in the calendar event and the organizer's email). Download the file — it's a standard MP4, and only its audio track is needed for transcription.

Step 2 — Upload the file to BriefVox

Upload the MP4 as-is; there is nothing to install and no bot ever joins your call. The recording processes in the background and you get a timestamped transcript with speakers separated where the audio allows.

Step 3 — Rename speakers and fix wording

Rename SPEAKER_1 and SPEAKER_2 to the real participants once and the labels update across the whole transcript. Click any sentence to hear that exact moment of the call — the fastest way to verify names, numbers and decisions.

Step 4 — Export the transcript or generate meeting notes

Export a DOCX with speakers and timestamps for a clean meeting record, or plain TXT for pasting anywhere. If you need a recap rather than a full transcript, AI Notes can condense the call into a summary, action items with owners, and key decisions — ready to send to the team.

What about Meet's built-in captions?

Live captions in Meet disappear when the call ends, and the built-in transcript feature is limited to certain Workspace plans and languages. Transcribing the recording afterwards works on any plan, in any of the supported languages, and gives you an editable document instead of a locked file.

Tips for better accuracy

• Ask participants to use headsets — echo hurts speaker separation more than anything else.
• Record in a quiet room; background noise lowers accuracy for everyone on the call.
• If the meeting is bilingual, transcribe with automatic language detection and review the mixed sections in the editor.