AI Powered Real Time Meeting Transcription and Summary Workflow

Real-time Meeting Transcription and Summary Generation

1. Meeting Preparation

1.1 Schedule Meeting

Utilize calendar tools such as Google Calendar or Microsoft Outlook to schedule the meeting, ensuring all participants are notified.

1.2 Select AI Audio Tool

Choose an AI-driven tool for transcription, such as Otter.ai, Rev.ai, or Microsoft Teams’ built-in transcription feature.

2. Meeting Execution

2.1 Record Meeting

Initiate the recording feature of the selected AI tool at the start of the meeting to capture audio in real-time.

2.2 Transcription in Real-time

Leverage the AI tool’s speech recognition capabilities to transcribe spoken words into text as the meeting progresses. Tools like Descript or Trint can be integrated for enhanced accuracy.

3. Post-Meeting Processing

3.1 Review Transcription

After the meeting, review the generated transcription for accuracy and make necessary edits. AI tools often provide editing features to streamline this process.

3.2 Generate Summary

Utilize AI algorithms to analyze the transcription and generate a concise summary. Tools such as SummarizeBot or the summarization features in Notion can assist in this step.

4. Distribution of Meeting Outcomes

4.1 Share Transcription and Summary

Distribute the final transcription and summary to all meeting participants via email or collaboration platforms like Slack or Microsoft Teams.

4.2 Collect Feedback

Encourage participants to provide feedback on the transcription and summary for continuous improvement of the process.

5. Continuous Improvement

5.1 Analyze Feedback

Regularly review feedback to identify areas for enhancement in transcription accuracy and summary relevance.

5.2 Update AI Tool Settings

Adjust settings and configurations of the AI tools based on feedback to optimize future meeting transcriptions and summaries.