Meeting Transcript Summarizer

Overview

Automatically transcribe a meeting recording and generate concise notes.

📄 Meeting Transcript Summarizer

This workflow converts a meeting recording into concise notes.

  1. **Audio Input: **Load a meeting recording.

  2. **Transcription: **Speech is transcribed with OpenAI Whisper.

  3. **Summarization: **The transcript is condensed into key points.

  4. **Output: **A text node displays the final summary.

Tags

audio, llm

Workflow Diagram

graph TD audio_1["Audio"] summarizer_3["Summarizer"] summary_4["summary"] automaticspeechrecognition_a2e093["AutomaticSpeechRecognition"] automaticspeechrecognition_a2e093 --> summarizer_3 audio_1 --> automaticspeechrecognition_a2e093 summarizer_3 --> summary_4

How to Use

  1. Open NodeTool and create a new workflow
  2. Import this workflow from the examples gallery or build it manually following the diagram above
  3. Configure the input nodes with your data
  4. Run the workflow to see results

Browse other workflow examples to discover more capabilities.