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Podfeed

Last updated Nov 18, 2025

n8n node to generate podcast-style audio content using Podfeed AI

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Included Nodes

Podfeed

Description

Podfeed n8n Node

A custom n8n community node for integrating with the Podfeed API to generate podcast-style audio content using AI.

Installation

To install this node in your n8n instance:

  1. Install the package:

    npm install n8n-nodes-podfeed
    
  2. Restart your n8n instance.

Configuration

Credentials

To use this node, you need to configure your Podfeed API credentials:

  1. In n8n, go to SettingsCredentials
  2. Create new credentials of type Podfeed API
  3. Enter your API key (get it from podfeed.ai): Click on Get started, sign in, and navigate to the API menu.

Features

This node supports all major Podfeed API operations:

Operations

  • Generate Audio: Create podcast-style audio from various input types
  • Get Task Status: Check the status of an audio generation task
  • Get Audio: Get details for a specific audio
  • List Available Voices: Get all available voices organized by language

Input Types

The Generate Audio operation supports 5 different input types:

  1. Text: Direct text input for immediate audio generation
  2. URL: Website URL to scrape and convert to audio
  3. Topic: Research-based generation from a topic description
  4. Script: Bring-your-own-script for direct text-to-speech
  5. File: File upload (supports PDFs, documents, audio files, etc.)

Audio Modes

  • Monologue: Single voice narration
  • Dialogue: Two-voice conversation with host and co-host

Voice Configuration

  • Support for multiple voice providers (Google, ElevenLabs, Gemini)
  • Custom voice instructions for personalized speech styles
  • Separate voice configuration for dialogue mode (host + co-host)

Content Configuration

  • Complexity levels: Beginner, Intermediate, Expert
  • Length options: Short, Medium, Long
  • Language support: Multiple languages (default: en-US)
  • Additional options: Emphasis, Q&A segments, custom instructions
  • Read mode: Direct text reading for script input type

Check out the audio samples at podfeed.ai to see results for different settings.

Usage Examples

Simple Text-to-Audio

  1. Select Generate Audio operation
  2. Choose Text input type
  3. Enter your text content
  4. Select Monologue mode
  5. Choose a voice (e.g., "gemini-puck")
  6. Configure content settings
  7. Execute the node

Website-to-Podcast

  1. Select Generate Audio operation
  2. Choose URL input type
  3. Enter the website URL
  4. Select Dialogue mode for conversation-style output
  5. Choose host and co-host voices
  6. Add custom instructions in Additional Fields
  7. Execute the node

Polling for Task Completion

Audio generation is asynchronous. Build a polling workflow using n8n's standard loop pattern to monitor task completion.

Workflow Pattern:

This pattern uses n8n's "loop until a condition is met" approach:

  1. Podfeed: Generate Audio

    • Returns taskId and initial status
  2. Wait Node (n8n core node)

    • Set wait time (e.g., 30-60 seconds)
    • This prevents overloading the API with requests
  3. Podfeed: Get Task Status

    • Use expression: {{ $('Podfeed').item.json.task_id }}
    • Returns status object with status field: 'in_progress', 'completed', or 'failed'
  4. IF Node (n8n core node)

    • Condition: {{ $json.status === 'completed' || $json.status === 'failed' }}
    • TRUE branch: Task is done (either success or failure) → Exit loop
    • FALSE branch: Task still in progress → Wire this output back to the Wait node (step 2)

    💡 The loop is created by connecting the IF node's FALSE output wire back to the Wait node's input.

  5. Handle Result (after exiting the loop)

    • Add another IF node or Switch node to handle completed vs failed
    • On success: Use audio_id from response to get audio details or URL
    • On failure: Handle error appropriately

Example n8n Workflow:
For a visual example of this loop pattern, see the official n8n loop workflow example.

API Compatibility

This node implements the full Podfeed API functionality, equivalent to the Python SDK.

Support

For issues with this n8n node, please report them on the GitHub repository.

For Podfeed API support, contact: support@podfeed.ai

License

MIT