Private browser tool

Create a Reviewable Meeting Transcript

A meeting transcript is most valuable when it helps someone find a decision, action item, or exact quote later. This workflow turns a meeting recording into timestamped draft text that can be checked against the source before it becomes a set of notes.

Meeting review

Turn a meeting recording into reviewable notes

Prepare a private meeting draft with participant labels, timestamps, and terminology checks.

Ready when you are
Add the meeting recordingDrop an audio or video file hereMP3, WAV, M4A, MP4 · Up to 200 MB or 20 minutes
Why this workflow helps

Meeting Transcription with a transcript you can verify

Before processing, add participant names, project names, product terms, and acronyms to the names and terms field. This gives the local model useful context and creates a review signal for terms that need attention. It does not automatically identify who is speaking.

After transcription, assign Speaker 1 through Speaker 4 to segments during review. This is a manual labeling workflow, designed to make a conversation easier to read without promising automatic diarization in a noisy room or a recording with overlapping speech.

How it works

Three steps from recording to editable text

01

Prepare the meeting file

Use an MP3, WAV, M4A, or MP4 recording up to 200 MB or 20 minutes. A close microphone and limited room noise make review easier.

02

Add the meeting vocabulary

List participant names, teams, products, acronyms, and decisions that should be checked after transcription.

03

Review decisions and owners

Use timestamps to replay a decision, assign manual speaker labels, edit action items, and export a text or structured version of the meeting.

What to expect

Designed around practical review

Find the moment behind a note

Timestamped segments let a reviewer return to the original audio when an action item, number, or decision is unclear.

Manual labels with clear limits

Speaker labels improve readability after review. They are not automatic identification, and overlapping speakers still need human judgment.

Terms are a review checklist

Names and project vocabulary can be supplied before processing and checked afterward, reducing the chance that a critical term is overlooked.

Review before export

A timestamp keeps important words close to the source

Example output only. The actual transcript depends on the recording, language, microphone, and background noise.

[00:12:44.880] Speaker 2: Alex will share the revised launch checklist by Thursday.
Questions about this workflow

Meeting Transcription FAQ

Does it automatically identify meeting participants?

No. The current local build lets you assign Speaker 1 through Speaker 4 manually to transcript segments.

Can I add participant names before transcription?

Yes. Add names, teams, products, and acronyms to the names and terms field so they can guide the model and appear in review suggestions.

Can it transcribe a long meeting?

The initial browser limit is 20 minutes or 200 MB per file. Longer recordings need to be split or handled by a future cloud workflow.

Should the transcript replace meeting notes?

Treat it as a searchable draft. Decisions, dates, owners, and commitments should be verified against the recording before distribution.

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