LeeWei This workflow corresponds to n8n.io template #8017 — we link there as the canonical source.
This workflow follows the Form Trigger → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"nodes": [
{
"id": "608b8d6d-3abc-4a53-aa81-5b6b13d9a874",
"name": "Get Analysis",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueErrorOutput",
"position": [
736,
304
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"fileData\": {\n \"fileUri\": \"{{ $json.file.uri }}\",\n \"mimeType\": \"{{ $json.file.mimeType }}\"\n }\n },\n {\n \"text\": \"Describe what's going on in the video in great detail. Describe the entire video.\"\n }\n ]\n }\n ]\n}\n",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "cfeadae7-65d6-4b79-823e-8db5024fac25",
"name": "Upload File ",
"type": "n8n-nodes-base.httpRequest",
"position": [
960,
64
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/upload/v1beta/files",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "binaryData",
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"headerParameters": {
"parameters": [
{
"name": "X-Goog-Upload-Command",
"value": "start, upload, finalize"
},
{
"name": "X-Goog-Upload-Header-Content-Length",
"value": "={{ $binary.Video.fileSize }}"
},
{
"name": "X-Goog-Upload-Header-Content-Type",
"value": "={{ $binary.Video.fileType }}/{{ $binary.Video.fileExtension }}"
},
{
"name": "Content-Type",
"value": "={{ $binary.Video.fileType }}/{{ $binary.Video.fileExtension }}"
}
]
},
"inputDataFieldName": "Video"
},
"typeVersion": 4.2
},
{
"id": "89df5f59-2806-42dd-aa6e-7d5e1d6a0f07",
"name": "5 seconds",
"type": "n8n-nodes-base.wait",
"position": [
976,
304
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "5150add7-edf5-49ca-92f9-385efcf8184b",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
720,
64
],
"parameters": {
"options": {},
"formTitle": "Insert Video",
"formFields": {
"values": [
{
"fieldType": "file",
"fieldLabel": "Video",
"multipleFiles": false,
"requiredField": true
}
]
},
"formDescription": "Drop in a video for analysis."
},
"typeVersion": 2.2
},
{
"id": "2e6a1e17-a406-485f-b5d6-2f1bbee090af",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
672,
0
],
"parameters": {
"color": 7,
"width": 220,
"height": 220,
"content": "## Form Trigger\n"
},
"typeVersion": 1
},
{
"id": "b8fc011e-f9da-4729-a88e-b1dcd4745a0b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
912,
0
],
"parameters": {
"color": 4,
"width": 220,
"height": 220,
"content": "## Upload File\n\n"
},
"typeVersion": 1
},
{
"id": "ccba1069-f0fd-48e5-ab15-467142b72d02",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
688,
240
],
"parameters": {
"color": 5,
"width": 220,
"height": 220,
"content": "## Get Analysis\n\n"
},
"typeVersion": 1
},
{
"id": "526c98ac-9783-4abd-aa31-ee9a14fe32a4",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
1200,
64
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "4996040a-b998-4eef-8a5a-3c4c316ed546",
"name": "Video Analysis",
"type": "n8n-nodes-base.set",
"position": [
1200,
304
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "268682ab-62a0-4e6f-aea0-652b30325f70",
"name": "Video Analysis",
"type": "string",
"value": "={{ $json.candidates[0].content.parts[0].text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8d6f60d5-6063-41e3-b0b8-b5cc0076b313",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1136,
240
],
"parameters": {
"color": 5,
"width": 220,
"height": 220,
"content": "## Result\n\n\n"
},
"typeVersion": 1
},
{
"id": "15f412e3-5958-4d8d-abab-7c7da62382fd",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"disabled": true,
"position": [
736,
608
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0cb0b756-1657-4c32-b9e0-63580319fe0a",
"name": "YouTube Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
960,
608
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
"method": "POST",
"options": {},
"jsonBody": "{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"Please summarize the video in 3 sentences.\"\n },\n {\n \"file_data\": {\n \"file_uri\": \"https://youtu.be/gwCQF--cARA?si=uCbaUnoRlEjHO50a\"\n }\n }\n ]\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"typeVersion": 4.2
},
{
"id": "ffa376e6-4c1b-400e-8ead-98e7e5a6f8d2",
"name": "Get Results",
"type": "n8n-nodes-base.set",
"position": [
1168,
608
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2103b25e-fbee-4d71-9224-280f1c2383da",
"name": "text",
"type": "string",
"value": "={{ $json.candidates[0].content.parts[0].text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b838e099-4651-4561-92e1-36b856a50f06",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
672,
528
],
"parameters": {
"color": 2,
"width": 688,
"height": 260,
"content": "# YouTube Vision\n"
},
"typeVersion": 1
},
{
"id": "7ae7e8a0-69ee-48a1-81a4-ef53af8805cb",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"width": 640,
"height": 800,
"content": "# \ud83d\udee0\ufe0f Setup Guide \n*Author: [Lee Wei]*\n\n### \u2705 Step 1: Get Your Free API Key \nGo to [**Google**](https://ai.google.dev/) and sign up to get your **free API key**.\n\nCreate your query authorization credential using that API key in the **HTTP Request** nodes that require a Google credential.\n\n\n### \ud83c\udfac Step 2: Drop in a Video \nYou\u2019re basically all set! Now you can:\n- Upload a video using the **Form Trigger**, **OR**\n- Drop in a **YouTube URL** to have it analyzed.\n---\n\nThat\u2019s it \u2014 your video analysis agent is ready to go.\n"
},
"typeVersion": 1
}
],
"connections": {
"Wait": {
"main": [
[
{
"node": "Get Analysis",
"type": "main",
"index": 0
}
]
]
},
"5 seconds": {
"main": [
[
{
"node": "Get Analysis",
"type": "main",
"index": 0
}
]
]
},
"Get Analysis": {
"main": [
[
{
"node": "Video Analysis",
"type": "main",
"index": 0
}
],
[
{
"node": "5 seconds",
"type": "main",
"index": 0
}
]
]
},
"Upload File ": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"YouTube Video": {
"main": [
[
{
"node": "Get Results",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Upload File ",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "YouTube Video",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
Google Gemini API Key Go to Google AI and sign up to get your free API key. Create your query authorization credential using that API key in the HTTP Request nodes (e.g., "Upload File", "Get Analysis") that require a Google Gemini credential. Form Trigger Setup Ensure the On…
Source: https://n8n.io/workflows/8017/ — original creator credit. Request a take-down →
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