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Audio Report V-test

A minimal workflow for transcribing audio recordings using OpenAI's transcription service. This workflow appears to be in development or testing phase, containing only the core transcription functionality.

Purpose

No business context provided yet — add a context.md to enrich this documentation.

Based on the workflow tags (VoiceNote Reports, Content, AI agent), this appears to be part of a larger system for processing voice notes and generating content reports, possibly for educational or coaching purposes.

How It Works

This workflow consists of a single operation:

  1. Audio Transcription: Takes an audio file and converts it to text using OpenAI's Whisper transcription service

The workflow is currently archived and inactive, suggesting it's either a test version or has been superseded by a more complete implementation.

Mermaid Diagram

graph TD
    A[Audio Input] --> B[Transcribe a recording]
    B --> C[Transcribed Text Output]

Trigger

This workflow has no configured trigger (triggerCount: 0). It would need to be: - Manually executed - Called by another workflow - Triggered via webhook (if configured)

Nodes Used

Node Type Node Name Purpose
OpenAI (LangChain) Transcribe a recording Converts audio files to text using OpenAI's transcription API

External Services & Credentials Required

OpenAI

  • Service: OpenAI API for audio transcription
  • Credentials Needed: OpenAI API key
  • Purpose: Audio-to-text transcription using Whisper model

Environment Variables

No specific environment variables are configured in this workflow. The OpenAI node would use credentials stored in n8n's credential management system.

Data Flow

Input

  • Audio file (supported formats: mp3, mp4, mpeg, mpga, m4a, wav, webm)

Output

  • Transcribed text from the audio content

Data Structure

The workflow expects audio data as input and produces text output. The exact data structure would depend on how the workflow is triggered and how the audio is provided.

Error Handling

No explicit error handling is configured in this workflow. Any errors would use n8n's default error handling: - API failures from OpenAI would stop execution - Invalid audio formats would cause the transcription to fail - Network issues would result in workflow failure

Known Limitations

  • Workflow is currently archived and inactive
  • No trigger configured - requires manual execution or external activation
  • Single-node workflow with no additional processing or output formatting
  • No error handling or retry logic
  • Limited to OpenAI's transcription service capabilities and file size limits

Based on the tags, this workflow may be related to: - Other VoiceNote Reports workflows - YouTube content processing workflows - AI agent implementations for content generation

Setup Instructions

  1. Import the Workflow 

    1
    # Import the workflow JSON into your n8n instance

  2. Configure OpenAI Credentials

    • Go to Settings > Credentials in n8n
    • Create new OpenAI credentials
    • Add your OpenAI API key

  3. Assign Credentials

    • Open the "Transcribe a recording" node
    • Select your OpenAI credentials from the dropdown

  4. Configure Trigger (Required)

    • Add a trigger node (Webhook, Manual, etc.)
    • Connect it to the transcription node

  5. Test the Workflow

    • Activate the workflow
    • Provide an audio file through your chosen trigger method
    • Verify the transcription output

  6. Production Setup

    • Add error handling nodes
    • Configure appropriate triggers for your use case
    • Add output formatting or storage nodes as needed

Note: This workflow is currently archived. You may want to unarchive it and add additional functionality before using it in production.