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  • License MIT

n8n community node for Volcano Engine TTS (豆包语音合成)

Package Exports

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    Readme

    n8n-nodes-volcano-tts

    This is an n8n community node that lets you use Volcano Engine TTS (Text-to-Speech) service in your n8n workflows.

    Volcano Engine TTS is a powerful text-to-speech service that provides natural-sounding voices in Chinese and English, powered by ByteDance's AI technology.

    n8n is a fair-code licensed workflow automation platform.

    Installation

    1. Go to Settings > Community Nodes
    2. Select Install
    3. Enter n8n-nodes-volcano-tts in the input field
    4. Select Install

    Manual Installation

    To install the node manually in a local n8n instance:

    npm install n8n-nodes-volcano-tts

    Prerequisites

    You need to have a Volcano Engine account and obtain the following credentials:

    • APP ID: Your application ID from Volcano Engine console
    • Access Token: Your access token for authentication
    • Cluster ID: The cluster ID for your TTS service (default: volcano_tts)

    Operations

    Text to Speech

    Convert text to natural-sounding speech with various voice options.

    Parameters:

    • Text: The text to convert to speech (max 2000 characters)
    • Voice: Choose from various Chinese and English voices
    • Format: Audio output format (MP3, WAV, PCM, OGG)
    • Sample Rate: Audio sample rate (8000-48000 Hz)
    • Speed: Speech speed (0.5-2.0)
    • Volume: Volume level (0-100)
    • Pitch: Pitch adjustment (-12 to +12)

    Supported Voices

    Chinese Voices

    • BV700_V2_streaming: 通用女声 (General Female)
    • BV701_V2_streaming: 通用男声 (General Male)
    • BV123_V2_streaming: 甜美女声 (Sweet Female)
    • BV120_V2_streaming: 动感男声 (Dynamic Male)
    • BV119_V2_streaming: 自然女声 (Natural Female)
    • BV115_V2_streaming: 沉稳男声 (Steady Male)

    English Voices

    • BV001_V2_streaming: English Female
    • BV002_V2_streaming: English Male

    Usage Example

    Basic Text-to-Speech Workflow

    1. Add a Volcano TTS node to your workflow
    2. Configure your credentials:
      • APP ID: Your Volcano Engine APP ID
      • Access Token: Your access token
      • Cluster ID: volcano_tts (or your custom cluster)
    3. Set the text you want to convert
    4. Choose a voice
    5. Execute the workflow

    Example with Dynamic Text

    {
      "nodes": [
        {
          "parameters": {
            "text": "={{ $json.message }}",
            "voice": "BV700_V2_streaming",
            "additionalOptions": {
              "format": "mp3",
              "speed": 1.0,
              "volume": 50
            }
          },
          "name": "Volcano TTS",
          "type": "n8n-nodes-volcano-tts.volcanoTts",
          "position": [450, 300]
        }
      ]
    }

    Connection Modes

    The node supports two connection modes:

    1. WebSocket (Streaming): Real-time streaming synthesis with lower latency
    2. HTTP (Standard): Traditional request-response pattern with higher stability

    Output Options

    The node can output audio in two ways:

    1. Binary Data: Audio file as binary data (default)

      • Can be saved to disk or passed to other nodes
      • Preserves original audio quality
    2. Base64 String: Audio encoded as base64 string

      • Useful for embedding in JSON responses
      • Can be decoded by other applications

    Error Handling

    The node includes comprehensive error handling for:

    • Authentication failures
    • Text length exceeding limits
    • Network timeouts
    • Invalid parameters
    • API rate limits

    Development

    To build the node for development:

    # Install dependencies
    npm install
    
    # Build the node
    npm run build
    
    # For development with watch mode
    npm run dev

    Testing

    # Run linter
    npm run lint
    
    # Format code
    npm run format

    Publishing

    To publish a new version to npm:

    # Update version
    npm version patch/minor/major
    
    # Build and publish
    npm publish

    Resources

    License

    MIT

    Support

    If you have any issues or questions, please:

    1. Check the documentation
    2. Open an issue on GitHub
    3. Join the n8n community forum