Create meeting summaries using audio

Creating meeting summaries from audio involves converting spoken content into written text and then summarizing it into key points. Here’s a streamlined process for doing this effectively:

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1. Transcribe the Audio

Use a reliable transcription tool to convert the meeting audio into text. Here are a few options:

• Otter.ai – Offers automatic transcription and speaker identification.

• Whisper by OpenAI – An open-source model that provides accurate transcription.

• Descript – Combines transcription with editing tools.

• Microsoft Teams / Zoom – Built-in transcription features (if used during the meeting).

Make sure the audio is clear, and speakers are distinguishable for the best results.

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2. Clean the Transcript

Edit the transcription to:

• Remove filler words (“uh,” “um,” etc.).

• Correct speaker labels if necessary.

• Fix transcription errors or misheard words.

• Organize into readable paragraphs.

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3. Identify Key Points

Skim the transcript and extract:

• Meeting purpose

• Decisions made

• Action items (with responsible persons and deadlines)

• Important discussions

• Follow-up requirements

Highlight these sections in bold or separate them under headers.

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4. Write the Summary

Structure the meeting summary as follows:

Meeting Summary Template:

Meeting Title: [e.g., Weekly Project Sync – May 18, 2025]
Date: [Insert date]
Attendees: [List of participants]
Facilitator: [Who led the meeting]

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Key Highlights:

• [Brief statement about the main purpose and outcomes of the meeting.]

Discussion Points:

• Topic 1: [Summarized discussion and outcome]

• Topic 2: [Summarized discussion and outcome]

Decisions Made:

• [Decision 1]

• [Decision 2]

Action Items:

Next Steps:

• [What’s expected before the next meeting.]

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5. Distribute or Store

• Share the summary with attendees via email or project management tools.

• Store it in a shared workspace (e.g., Notion, Google Docs, SharePoint).

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If you want, I can also help you build a semi-automated system for this using Whisper + Python to transcribe and summarize audio. Let me know if you’d like that.