Automated Audio Transcription and Summarization Workflow

This workflow is ideal for:

• Content Creators: Individuals who regularly produce audio content and need efficient transcription and summarization.
• Project Managers: Professionals who require meeting notes and summaries from recorded discussions.
• Researchers: Those who need to transcribe interviews or discussions for analysis.
• Students: Learners who want to convert lectures or discussions into written summaries for easier study.
• Businesses: Organizations looking to streamline the process of documenting audio meetings and discussions.

This workflow addresses the challenge of manually transcribing audio files and extracting key information from them. It automates the process of:

• Triggering on new audio file uploads in Google Drive.
• Downloading the audio files for processing.
• Transcribing the audio content using OpenAI's capabilities.
• Summarizing the transcribed content into structured JSON format for easy reference.
• Storing the summary in Notion for organized access and collaboration.

1. Trigger: The workflow starts when a new audio file is uploaded to a specific folder in Google Drive.
2. Download: The uploaded audio file is automatically downloaded from Google Drive.
3. Transcription: The downloaded audio file is sent to OpenAI for transcription, converting speech to text.
4. Summarization: The transcribed text is processed by OpenAI again to generate a structured summary, including key elements such as title, main points, and action items.
5. Storage: Finally, the summary is sent to Notion, creating a new page for easy access and organization of the information.