VidContext + n8n

Add video intelligence to your n8n workflows. Use the HTTP Request node to send videos to VidContext and get structured analysis back — transcripts, visual breakdowns, brand detection, and more. No code required.

How it works

1. 1

   Add an HTTP Request node

   Drag an HTTP Request node into your n8n workflow. Set the method to POST and the URL to the VidContext analyze endpoint.

2. 2

   Configure authentication

   Add a Header Auth credential with the name X-API-Key and your VidContext API key as the value.

3. 3

   Attach the video

   Set the body to Form-Data. Add a file field pointing to your video file or a source field with a video URL, plus an output_format field for the analysis mode.

4. 4

   Route the results

   The response arrives as structured JSON. Connect downstream nodes to store results, send notifications, or trigger further automation.

HTTP Request node configuration

Paste this JSON into an n8n HTTP Request node to get a working VidContext analysis step. Replace the API key with your own.

{
  "method": "POST",
  "url": "https://api.vidcontext.com/v1/analyze",
  "authentication": "genericCredentialType",
  "genericAuthType": "httpHeaderAuth",
  "sendHeaders": true,
  "headerParameters": {
    "parameters": [
      { "name": "X-API-Key", "value": "vc_your_key_here" }
    ]
  },
  "sendBody": true,
  "contentType": "multipart-form-data",
  "bodyParameters": {
    "parameters": [
      { "name": "file", "parameterType": "formBinaryData", "inputDataFieldName": "data" },
      { "name": "output_format", "value": "context" }
    ]
  }
}

Workflow ideas

What VidContext returns

Every analysis returns structured JSON that n8n can parse directly. No custom code needed to extract fields.

• Metadata — duration, resolution, format
• Transcript — timestamped speech with speaker context
• Visual scenes — frame-by-frame descriptions of what appears on screen
• On-screen text — every title, caption, URL, and overlay extracted
• Brands detected — logos and product mentions identified
• Audio analysis — music, sound effects, and ambient audio classified

Frequently asked questions