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🦜✨ Use OpenAI to Transcribe Audio + Summarize with AI + Save to Google Drive

This workflow automates the processing of audio files, with key functions including searching for and downloading the latest .m4a format audio files from Google Drive, utilizing AI for audio transcription, and generating structured summaries and Markdown reports. Ultimately, the transcribed text and reports are saved back to Google Drive, and users are notified instantly via Telegram and email, significantly enhancing the efficiency of audio processing and addressing the pain points of traditional transcription and report generation. It is suitable for scenarios such as meetings, interviews, and lectures.

Workflow Diagram
🦜✨ Use OpenAI to Transcribe Audio + Summarize with AI + Save to Google Drive Workflow diagram

Workflow Name

🦜✨ Use OpenAI to Transcribe Audio + Summarize with AI + Save to Google Drive

Key Features and Highlights

This workflow automates the process of searching for the latest .m4a audio files in a specified Google Drive folder, downloading them, and then using OpenAI’s models to transcribe the audio. It further employs AI to generate structured summaries and Markdown documents from the transcription. The original transcript, structured JSON report, and Markdown report are automatically saved back to Google Drive. Finally, access links to the transcription reports are sent to users via Telegram messages and email, enabling a fully automated and intelligent audio content processing pipeline.

Core Problems Addressed

  • Manual audio transcription is time-consuming and prone to errors.
  • Difficulty in quickly extracting key points and generating readable reports from transcriptions.
  • Dispersed file management complicates report storage and sharing.
  • Lack of automated notification mechanisms delays awareness of transcription results.

By leveraging AI for automatic transcription and intelligent summarization, this workflow significantly improves audio processing efficiency and information utilization. Its integrated storage and notification features resolve multiple pain points in traditional audio transcription and report generation.

Use Cases

  • Transcribing and summarizing meeting recordings.
  • Rapid organization of interviews, lectures, and training audio.
  • Automated script summarization for content creators.
  • Documentation and archiving of audio materials in legal, medical, and other industries.
  • Centralized management and sharing of audio resources for remote teams.

Main Workflow Steps

  1. Trigger Activation: Manually trigger the workflow or monitor a specified Google Drive folder for new audio files (.m4a format).
  2. Search and Download: Locate and download the latest .m4a audio files from the designated Google Drive folder.
  3. Audio Transcription: Use OpenAI’s speech-to-text API to transcribe the audio content.
  4. Text Preparation: Set the transcription text and current timestamp to prepare data for subsequent processing.
  5. Summary Generation: Utilize OpenAI models to create both a structured JSON summary and a detailed Markdown report from the transcription.
  6. File Saving: Save the original transcript, JSON summary, and Markdown report to the corresponding Google Drive folders.
  7. Metadata Retrieval: Obtain metadata (e.g., webViewLink) of the saved files for access purposes.
  8. Message Consolidation and Delivery: Compile all report links and send them to users via Telegram messages and Gmail emails for instant notification.

Involved Systems and Services

  • Google Drive: Audio file search, download, and report file storage.
  • OpenAI API: Audio transcription and text summarization.
  • Gmail: Email notifications to users with transcription results and report links.
  • Telegram: Real-time push of transcription report access links via chat messages.
  • n8n Automation Platform: Orchestration and execution of the entire workflow.

Target Users and Value Proposition

  • Professionals and teams who need to efficiently process large volumes of audio content, such as project managers, content creators, and market researchers.
  • Enterprises aiming to improve transcription accuracy and information extraction efficiency through AI technology.
  • Technical operations personnel seeking to reduce manual intervention and achieve intelligent audio data management via automation.
  • User groups requiring archiving, quick sharing, and multi-format reporting of audio content.

This workflow greatly simplifies the audio transcription and report generation process, enhances work efficiency, reduces labor costs, and helps users quickly obtain high-quality audio transcripts and structured analytical results for easy storage, review, and distribution.