This is an n8n community node. It lets you use VLM Run in your n8n workflows.
VLM Run is a unified gateway for Visual AI that enables you to extract structured data from unstructured visual content like images, videos, audio, and documents using Vision Language Models (VLMs).
💾 Installation
Follow the installation guide in the n8n community nodes documentation.
npm i @vlm-run/n8n-nodes-vlmrun⚙️ Operations
- Analyze Audio: Analyze audio files for transcription, speaker identification, sentiment analysis, and more.
- Analyze Document: Extract structured data from documents such as resumes, invoices, presentations, and more.
- Analyze Image: Extract information or generate captions from images.
- Analyze Video: Extract insights or transcribe content from video files.
- Manage Files: List uploaded files or upload new files to VLM Run.
🔑 Credentials
- Sign up for a VLM Run account at vlm.run
- Get your API key from the dashboard
- Use the API key in the n8n VLM Run node credentials
📖 Usage
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Configure Credentials:
- Add your VLM Run API credentials in n8n
- Set the API base URL (default: https://api.vlm.run/v1)
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Add VLM Run Node:
- Search for "VLM Run" in the n8n nodes panel
- Add it to your workflow
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Configure Node:
- Select the operation (Analyze Audio, Analyze Document, Analyze Image, Analyze Video, or Manage Files)
- Provide the required input fields (such as file data, model, or domain)
- Configure any additional parameters as needed
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Run the workflow to process your visual or audio data with VLM Run's AI models.
📸 Screenshots
Here are some screenshots of the n8n-nodes-vlmrun in action:
Overview of the VLM Run node in n8n
Example workflow using the VLM Run node
🔗 Resources
🛠️ Example Use Cases
- Extracting structured data from resumes, invoices, or utility bills
- Cataloging and captioning product images
- Transcribing and analyzing audio interviews or calls
- Extracting insights from video content
- Managing files in your VLM Run account from n8n workflows