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Step 3: Upload a meeting recording - Minute AI Walkthrough

Upload an audio file and choose a minute template

Walkthrough progress

Step 3 of 6 • 3 minutes

Step 3 3 minutes

Upload a meeting recording

Upload an audio file of a meeting and select a template for the minutes you want to generate.

Expected outcome

  • You have uploaded a meeting recording
  • You have selected a meeting template
  • The transcription job has started processing

Creating a new meeting

  1. Click "New meeting"

    From the Minute AI homepage, click the "New meeting" button.

  2. Click "Upload a file"

    Select the option to upload a recording file from your computer.

  3. Choose your audio file

    Select or drag and drop a meeting recording. Supported formats:

    • MP3 -- most common recording format
    • WAV -- uncompressed audio
    • WebM -- common for browser-based recordings

    Files can be up to 5GB in size. For this walkthrough, a short recording (5 to 15 minutes) works best.

  4. Select a template

    Choose a meeting template that matches your recording. Available templates include:

    General

    Default template suitable for most meetings. Produces an overview, discussion points, decisions, and action items.

    Cabinet

    Formal cabinet meeting format with motions, votes, and ministerial responsibilities.

    Planning Committee

    Planning committee format with application references, officer recommendations, and committee decisions.

    If you are unsure, select "General" -- it works well for any type of meeting.

  5. Click "Upload"

    The file will be uploaded to S3 and a transcription job will start automatically. You will see the status change to "Transcription being processed".

Minute AI upload page showing the file upload area, template selector with General selected, and Upload button
Upload your audio file and select a meeting template

What happens next

After uploading, Minute AI sends the audio file to AWS Transcribe (opens in new tab) for speech-to-text conversion. The processing pipeline works like this:

1
Audio upload to S3

The recording is stored securely in an S3 bucket

2
Transcription via AWS Transcribe

Speech is converted to text with automatic speaker identification

3
SQS job queue

A background worker picks up the completed transcript for processing

Timing: Transcription typically takes 5 to 10 minutes for a 30-minute recording. Shorter recordings process faster. You can leave the page and come back -- the transcription continues in the background.

Troubleshooting: Upload fails

If the upload fails:

  • Check that your file is in MP3, WAV, or WebM format
  • Ensure the file is under 5GB
  • Try a shorter recording if a long one is failing
  • Check your network connection -- large files may take time to upload