n8n templatesn8n templates

Google Drive Audio Auto-Transcription and Archiving Workflow

This workflow achieves quick uploads of audio files from Google Drive to AWS S3 through automatic monitoring, and utilizes AWS Transcribe for accurate transcription. The transcribed text and related information are automatically organized and saved to Google Sheets, streamlining the processing of meeting recordings, interviews, and customer service recordings. The entire process is highly automated, reducing the need for manual operations, enhancing work efficiency, and facilitating subsequent data statistics and analysis.

Workflow Diagram
Google Drive Audio Auto-Transcription and Archiving Workflow Workflow diagram

Workflow Name

Google Drive Audio Auto-Transcription and Archiving Workflow

Key Features and Highlights

This workflow automates the monitoring of newly added audio files in a specified Google Drive folder, uploads them to AWS S3 storage, invokes AWS Transcribe for audio transcription, waits for the transcription results, and automatically appends the transcribed text along with related information into a Google Sheets spreadsheet. The entire process is highly automated and efficient, significantly reducing manual transcription and data organization efforts.

Core Problems Addressed

  • Automated detection of audio file uploads without manual triggering
  • Accurate and fast speech-to-text conversion using AWS Transcribe
  • Automatic organization of transcription results for easy subsequent data analysis
  • Seamless integration across multiple systems to improve workflow efficiency and avoid data silos

Application Scenarios

  • Automatic transcription and archiving of meeting and interview recordings
  • Rapid text conversion of customer service call recordings
  • Transcription and management of audio materials for content creators
  • Automated organization and storage of internal corporate voice data

Main Process Steps

  1. Google Drive Trigger detects newly uploaded audio files in the specified folder
  2. AWS S3 Node 1 uploads the audio files to the designated AWS S3 bucket
  3. AWS S3 Node 2 retrieves the list of all files in the storage bucket
  4. AWS Transcribe Node 1 initiates transcription tasks based on audio file paths
  5. Wait Node waits for AWS transcription tasks to complete and return results
  6. AWS Transcribe Node 2 obtains the transcribed text and metadata
  7. Set Node organizes transcription text, recording name, link, timestamps, and other information
  8. Google Sheets Node appends the organized data into a Google Sheets spreadsheet for easy viewing and analysis

Involved Systems or Services

  • Google Drive (file upload trigger and source of audio files)
  • AWS S3 (audio file storage)
  • AWS Transcribe (speech-to-text service)
  • Google Sheets (storage and display of transcription results)

Target Users and Value

  • Office personnel in enterprises and teams requiring automated management of large volumes of audio transcriptions
  • Content creators, journalists, and researchers needing quick access to audio text content
  • Managers in customer service centers or sales teams who archive and analyze conversation recordings
  • Technical professionals aiming to leverage cloud services for automated audio transcription and data integration

By providing an end-to-end automated workflow, this solution greatly enhances the efficiency and accuracy of audio transcription while enabling structured data archiving for easy retrieval and analysis, significantly reducing manual labor costs and improving business response speed.