This workflow follows the Chainllm → Google Drive recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"nodes": [
{
"id": "6d16b5be-8f7b-49f2-8523-9b84c62f2759",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1960,
660
],
"parameters": {
"model": "gpt-4o-2024-08-06",
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "a6084f09-9a4f-478a-ac1a-ab1413628c1f",
"name": "Capture Frames",
"type": "n8n-nodes-base.code",
"position": [
720,
460
],
"parameters": {
"mode": "runOnceForEachItem",
"language": "python",
"pythonCode": "import cv2\nimport numpy as np\nimport base64\n\ndef extract_evenly_distributed_frames_from_base64(base64_string, max_frames=90):\n # Decode the Base64 string into bytes\n video_bytes = base64.b64decode(base64_string)\n \n # Write the bytes to a temporary file\n video_path = '/tmp/temp_video.mp4'\n with open(video_path, 'wb') as video_file:\n video_file.write(video_bytes)\n \n # Open the video file using OpenCV\n video_capture = cv2.VideoCapture(video_path)\n \n # Get the total number of frames in the video\n total_frames = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))\n \n # Calculate the step size to take 'max_frames' evenly distributed frames\n step_size = max(1, total_frames // (max_frames - 1))\n \n # List to store selected frames as base64\n selected_frames_base64 = []\n \n for i in range(0, total_frames, step_size):\n # Set the current frame position\n video_capture.set(cv2.CAP_PROP_POS_FRAMES, i)\n \n # Read the frame\n ret, frame = video_capture.read()\n if ret:\n # Convert frame (NumPy array) to a Base64 string\n frame_base64 = convert_frame_to_base64(frame)\n selected_frames_base64.append(frame_base64)\n if len(selected_frames_base64) >= max_frames:\n break\n \n # Release the video capture object\n video_capture.release()\n\n return selected_frames_base64\n\ndef convert_frame_to_base64(frame):\n # Convert the frame (NumPy array) to JPEG format\n ret, buffer = cv2.imencode('.jpg', frame)\n if not ret:\n return None\n\n # Encode JPEG image to Base64\n frame_base64 = base64.b64encode(buffer).decode('utf-8')\n return frame_base64\n\nbase64_video = _input.item.binary.data.data\nframes_base64 = extract_evenly_distributed_frames_from_base64(base64_video, max_frames=90)\n\nreturn { \"output\": frames_base64 }"
},
"typeVersion": 2
},
{
"id": "b45e82a4-f304-4733-a9cf-07cae6df13ea",
"name": "Split Out Frames",
"type": "n8n-nodes-base.splitOut",
"position": [
920,
460
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
},
{
"id": "83d29c51-a415-476d-b380-1ca5f0d4f521",
"name": "Download Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
329,
346
],
"parameters": {
"url": "=https://cdn.pixabay.com/video/2016/05/12/3175-166339863_small.mp4",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "0304ebb5-945d-4b0b-9597-f83ae8c1fe31",
"name": "Convert to Binary",
"type": "n8n-nodes-base.convertToFile",
"position": [
1480,
500
],
"parameters": {
"options": {},
"operation": "toBinary",
"sourceProperty": "output"
},
"typeVersion": 1.1
},
{
"id": "32a21e1d-1d8b-411e-8281-8d0e68a06889",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
149,
346
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0ad2ea6a-e1f4-4b26-a4de-9103ecbb3831",
"name": "Combine Script",
"type": "n8n-nodes-base.aggregate",
"position": [
2640,
360
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "2d9bb91a-3369-4268-882f-f97e73897bb8",
"name": "Upload to GDrive",
"type": "n8n-nodes-base.googleDrive",
"position": [
3040,
360
],
"parameters": {
"name": "=narrating-video-using-vision-ai-{{ $now.format('yyyyMMddHHmmss') }}.mp3",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
"cachedResultName": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "id",
"value": "1dBJZL_SCh6F2U7N7kIMsnSiI4QFxn2xD"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "137185f6-ba32-4c68-844f-f50c7a5a261d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-440,
0
],
"parameters": {
"width": 476.34074202271484,
"height": 586.0597334122469,
"content": "## \uc9c1\uc811 \uc2dc\ub3c4\ud574\ubcf4\uc138\uc694!\n\n### \uc774 n8n \ud15c\ud50c\ub9bf\uc740 \ube44\ub514\uc624\ub97c \uac00\uc838\uc640 \ud504\ub808\uc784\uc744 \ucd94\ucd9c\ud55c \ud6c4, \uc774\ub97c \ub2e4\uc911 \ubaa8\ub2ec LLM\uacfc \ud568\uaed8 \uc0ac\uc6a9\ud558\uc5ec \uc2a4\ud06c\ub9bd\ud2b8\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c \uc774 \uc2a4\ud06c\ub9bd\ud2b8\ub97c \ub3d9\uc77c\ud55c \ub2e4\uc911 \ubaa8\ub2ec LLM\uc5d0 \uc804\ub2ec\ud558\uc5ec \ubcf4\uc774\uc2a4\uc624\ubc84 \ud074\ub9bd\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.\n\n\uc774 \ud15c\ud50c\ub9bf\uc740 [GPT\uc758 \uc2dc\uac01 \uae30\ub2a5\uacfc TTS API\ub97c \uc0ac\uc6a9\ud55c \ube44\ub514\uc624 \ucc98\ub9ac \ubc0f \ub0b4\ub808\uc774\uc158](https://cookbook.openai.com/examples/gpt_with_vision_for_video_understanding)\uc5d0\uc11c \uc601\uac10\uc744 \uc5bb\uc5c8\uc2b5\ub2c8\ub2e4.\n\n* \ube44\ub514\uc624\ub294 HTTP \ub178\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc6b4\ub85c\ub4dc\ub429\ub2c8\ub2e4.\n* Python \ucf54\ub4dc \ub178\ub4dc\uac00 OpenCV\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud504\ub808\uc784\uc744 \ucd94\ucd9c\ud569\ub2c8\ub2e4.\n* Loop \ub178\ub4dc\uac00 LLM\uc774 \ubd80\ubd84 \uc2a4\ud06c\ub9bd\ud2b8\ub97c \uc0dd\uc131\ud558\ub3c4\ub85d \ud504\ub808\uc784\uc744 \ubc30\uce58\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.\n* \ubaa8\ub4e0 \ubd80\ubd84 \uc2a4\ud06c\ub9bd\ud2b8\uac00 \uacb0\ud569\ub418\uc5b4 \uc804\uccb4 \uc2a4\ud06c\ub9bd\ud2b8\ub97c \ud615\uc131\ud55c \ud6c4, \uc774\ub97c OpenAI\uc5d0 \ubcf4\ub0b4\uc11c \uc624\ub514\uc624\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.\n* \uc644\uc131\ub41c \ubcf4\uc774\uc2a4\uc624\ubc84 \ud074\ub9bd\uc774 Google Drive\uc5d0 \uc5c5\ub85c\ub4dc\ub429\ub2c8\ub2e4.\n\n\uc644\uc131\ub41c \uc81c\ud488\uc744 \uc5ec\uae30\uc11c \uc0d8\ud50c\ub9c1\ud558\uc138\uc694: https://drive.google.com/file/d/1-XCoii0leGB2MffBMPpCZoxboVyeyeIX/view?usp=sharing\n\n### \ub3c4\uc6c0\uc774 \ud544\uc694\ud558\uc138\uc694?\n[Discord](https://discord.com/invite/XPKeKXeB7d)\uc5d0 \uac00\uc785\ud558\uac70\ub098 [Forum](https://community.n8n.io/)\uc5d0\uc11c \ubb3c\uc5b4\ubcf4\uc138\uc694!"
},
"typeVersion": 1
},
{
"id": "23700b04-2549-4121-b442-4b92adf7f6d6",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
120
],
"parameters": {
"color": 7,
"width": 459.41860465116287,
"height": 463.313953488372,
"content": "## 1. \ube44\ub514\uc624 \ub2e4\uc6b4\ub85c\ub4dc\n\n[HTTP Request \ub178\ub4dc\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uae30](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/)\n\n\uc774 \ub370\ubaa8\uc5d0\uc11c, HTTP Request \ub178\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec Pixabay\uc5d0\uc11c \uc2a4\ud1a1 \ube44\ub514\uc624\ub97c \ub2e4\uc6b4\ub85c\ub4dc\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\ub978 \uc18c\uc2a4\ub97c \uc0ac\uc6a9\ud574\ub3c4 \uc88b\uc9c0\ub9cc, OpenCV\uc5d0\uc11c \uc9c0\uc6d0\ub418\ub294 \ud615\uc2dd\uc778\uc9c0 \ud655\uc778\ud558\uc138\uc694 ([\ubb38\uc11c \ubcf4\uae30](https://docs.opencv.org/3.4/dd/d43/tutorial_py_video_display.html))"
},
"typeVersion": 1
},
{
"id": "0a42aeb0-96cd-401c-abeb-c50e0f04f7ad",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
120
],
"parameters": {
"color": 7,
"width": 605.2674418604653,
"height": 522.6860465116279,
"content": "## 2. \ube44\ub514\uc624\ub97c \ud504\ub808\uc784\uc73c\ub85c \ubd84\ud560 \n[\ucf54\ub4dc \ub178\ub4dc\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uae30](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/) \n\n\ube44\ub514\uc624\ub97c \uc2dc\uac01 \ud2b8\ub799\uacfc \uc624\ub514\uc624 \ud2b8\ub799\uc758 \ud569\uc73c\ub85c \uc0dd\uac01\ud574\uc57c \ud569\ub2c8\ub2e4. \uc2dc\uac01 \ud2b8\ub799\uc740 \uae30\uc220\uc801\uc73c\ub85c \uc5f0\uc18d\ud574\uc11c \ud45c\uc2dc\ub418\ub294 \uc774\ubbf8\uc9c0 \ubaa8\uc74c\uc77c \ubfd0\uc774\uba70, \uc77c\ubc18\uc801\uc73c\ub85c \ud504\ub808\uc784\uc774\ub77c\uace0 \ubd88\ub9bd\ub2c8\ub2e4. LLM\uc774 \ube44\ub514\uc624\ub97c \uc774\ud574\ud558\uac8c \ud558\ub824\uba74, \ubcf4\ud1b5 \uc2dc\ub9ac\uc988\uc758 \ud504\ub808\uc784\uc744 \uc774\ubbf8\uc9c0\ub85c \uc81c\uacf5\ud558\uc5ec \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \n\n\uc5ec\uae30\uc11c, \uc6b0\ub9ac\ub294 OpenCV\ub77c\ub294 \ucef4\ud4e8\ud130 \ube44\uc804 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ube44\ub514\uc624\uc5d0\uc11c \ud504\ub808\uc784\uc744 \ucd94\ucd9c\ud558\uae30 \uc704\ud574 Python Code \ub178\ub4dc\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc131\ub2a5\uc0c1\uc758 \uc774\uc720\ub85c, \ube44\ub514\uc624\uc5d0\uc11c \ucd5c\ub300 90\uac1c\uc758 \ud504\ub808\uc784\ub9cc \ucea1\ucc98\ud558\ub418, \ube44\ub514\uc624 \uc804\uccb4\uc5d0 \uace0\ub974\uac8c \ubd84\ud3ec\ub418\ub3c4\ub85d \ud569\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\ub294 3MB \ube44\ub514\uc624\uc5d0\uc11c \uc644\ub8cc\ud558\ub294 \ub370 \uc57d 1-2\ubd84\uc774 \uac78\ub9bd\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "b518461c-13f1-45ae-a156-20ae6051fc19",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
660
],
"parameters": {
"color": 3,
"width": 418.11627906976724,
"height": 132.89534883720933,
"content": "### \ud83d\udea8 \uc131\ub2a5 \uacbd\uace0!\n\ud070 \ube44\ub514\uc624\ub97c \uc0ac\uc6a9\ud558\uac70\ub098 \ub9ce\uc740 \uc218\uc758 \ud504\ub808\uc784\uc744 \ucea1\ucc98\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \uba54\ubaa8\ub9ac\ub97c \ub9ce\uc774 \uc18c\ube44\ud558\uba70, n8n \uc778\uc2a4\ud134\uc2a4\ub97c \ucda9\ub3cc\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ucda9\ubd84\ud55c \uba54\ubaa8\ub9ac\ub97c \ud655\ubcf4\ud558\uace0 \ube44\ub514\uc624\ub97c \ubbf8\ub9ac \ucd5c\uc801\ud654\ud558\uc138\uc694!"
},
"typeVersion": 1
},
{
"id": "585f7a7f-1676-4bc3-a6fb-eace443aa5da",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1200,
118.69767441860472
],
"parameters": {
"color": 7,
"width": 1264.8139534883715,
"height": 774.3720930232558,
"content": "## 3. Vision AI\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud504\ub808\uc784 \ubc30\uce58\uc5d0 \ub300\ud574 \uc124\uba85\ud558\uae30\n\n[Basic LLM \ub178\ub4dc\uc5d0 \ub300\ud574 \ub354 \uc77d\uae30](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/)\n\n\uc6b0\ub9ac\uc758 LLM \ud1a0\ud070 \ud55c\uacc4\ub97c \uc720\uc9c0\ud558\uae30 \uc704\ud574, \uc6d0\ubcf8 \ube44\ub514\uc624\uc758 \uccad\ud06c\ub97c \ub098\ud0c0\ub0b4\uae30 \uc704\ud574 \ud504\ub808\uc784\uc744 \uc21c\ucc28\uc801\uc778 \ubc30\uce58\ub85c \ubcf4\ub0b4\uc57c \ud569\ub2c8\ub2e4. \ub8e8\ud504 \ub178\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec 15\uac1c\uc758 \ud504\ub808\uc784 \ubc30\uce58\ub97c \uc0dd\uc131\ud560 \uac83\uc785\ub2c8\ub2e4 - \uc774\ub294 \ucd5c\ub300 90\uac1c\uc758 \ud504\ub808\uc784 \ub54c\ubb38\uc5d0, \ucd1d 6\uac1c\uc758 \ub8e8\ud504\uc5d0 \uc644\ubcbd\ud558\uac8c \ub9de\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc73c\ub85c, \uac01 \ud504\ub808\uc784\uc744 \uc774\uc9c4 \uc774\ubbf8\uc9c0\ub85c \ubcc0\ud658\ud558\uc5ec Basic LLM \ub178\ub4dc\uc5d0 \ud06c\uae30\ub97c \uc870\uc815\ud558\uace0 \ucca8\ubd80\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc9c0\uc801\ud560 \ud55c \uac00\uc9c0 \ud301\uc740 Basic LLM \ub178\ub4dc \ub0b4\uc5d0\uc11c \uc774\uc804 \uc0dd\uc131 \ubc18\ubcf5\uc774 cohesive script\ub97c \ud615\uc131\ud558\uae30 \uc704\ud574 \ub9e8 \uc55e\uc5d0 \ucd94\uac00\ub41c\ub2e4\ub294 \uac83\uc785\ub2c8\ub2e4. \uadf8\ub807\uc9c0 \uc54a\uc73c\uba74, LLM\uc740 \uac01 \ud504\ub808\uc784 \ubc30\uce58\uc5d0 \ub300\ud574 \uc0c8\ub85c \uc2dc\uc791\ud574\uc57c \ud55c\ub2e4\uace0 \uac00\uc815\ud560 \uac83\uc785\ub2c8\ub2e4.\n\n\uc6e8\uc774\ud2b8 \ub178\ub4dc\uac00 \uc11c\ube44\uc2a4 \uc18d\ub3c4 \uc81c\ud55c \ub0b4\uc5d0 \uba38\ubb3c\uae30 \uc704\ud574 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774\ub294 \uc5ec\uc804\ud788 \ub0ae\uc740 \ud2f0\uc5b4\uc5d0 \uc788\ub294 \uc0c8\ub85c\uc6b4 \uc0ac\uc6a9\uc790\uc5d0\uac8c \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc81c\ud55c\uc774 \uc5c6\ub2e4\uba74, \uc774 \uc6e8\uc774\ud2b8 \ub178\ub4dc\ub97c \uc81c\uac70\ud558\uc138\uc694!"
},
"typeVersion": 1
},
{
"id": "42c002a3-37f6-4dd7-af14-20391b19cb5a",
"name": "Stay Within Service Limits",
"type": "n8n-nodes-base.wait",
"position": [
2280,
640
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "5beb17fa-8a57-4c72-9c3b-b7fdf41b545a",
"name": "For Every 15 Frames",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1320,
380
],
"parameters": {
"options": {},
"batchSize": 15
},
"typeVersion": 3
},
{
"id": "9a57256a-076a-4823-8cad-3b64a17ff705",
"name": "Resize Frame",
"type": "n8n-nodes-base.editImage",
"position": [
1640,
500
],
"parameters": {
"width": 768,
"height": 768,
"options": {
"format": "jpeg"
},
"operation": "resize"
},
"typeVersion": 1
},
{
"id": "3e776939-1a25-4ea0-8106-c3072d108106",
"name": "Aggregate Frames",
"type": "n8n-nodes-base.aggregate",
"position": [
1800,
500
],
"parameters": {
"options": {
"includeBinaries": true
},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "3a973a9c-2c7a-43c5-9c45-a14d49b56622",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
2500,
120.6860465116277
],
"parameters": {
"color": 7,
"width": 769.1860465116274,
"height": 487.83720930232533,
"content": "## 4. TTS\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc74c\uc131 \uc624\ubc84 \ud074\ub9bd \uc0dd\uc131\n\n[OpenAI \ub178\ub4dc\uc5d0 \ub300\ud574 \ub354 \uc77d\uae30](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai)\n\n\ub9c8\uce68\ub0b4 \uc6b0\ub9ac \uc0dd\uc131\ub41c \uc2a4\ud06c\ub9bd\ud2b8 \ubd80\ubd84\ub4e4\uc744 \ud558\ub098\ub85c \uacb0\ud569\ud558\uc5ec OpenAI\uc758 \uc624\ub514\uc624 \uc0dd\uc131 \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc804\uccb4 \uc2a4\ud06c\ub9bd\ud2b8\uc5d0\uc11c \uc74c\uc131 \uc624\ubc84\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ucd9c\ub825 mp3\ub97c \uc5bb\uc740 \ud6c4, Google Drive\uc640 \uac19\uc740 \uacf3\uc5d0 \uc5c5\ub85c\ub4dc\ud558\uc5ec \ub098\uc911\uc5d0 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\uc5ec\uae30 \uc644\uc131\ub41c \uc81c\ud488\uc744 \ub4e4\uc5b4\ubcf4\uc138\uc694: https://drive.google.com/file/d/1-XCoii0leGB2MffBMPpCZoxboVyeyeIX/view?usp=sharing"
},
"typeVersion": 1
},
{
"id": "92e07c18-4058-4098-a448-13451bd8a17a",
"name": "Use Text-to-Speech",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2840,
360
],
"parameters": {
"input": "={{ $json.data.map(item => item.text).join('\\n') }}",
"options": {
"response_format": "mp3"
},
"resource": "audio"
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.5
},
{
"id": "0696c336-1814-4ad4-aa5e-b86489a4231e",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
61,
598
],
"parameters": {
"color": 7,
"width": 458.1279069767452,
"height": 296.8139534883723,
"content": "\uc774 \ub370\ubaa8\uc5d0\uc11c \uc0ac\uc6a9\ub41c \ube44\ub514\uc624\ub294 \n© [Coverr-Free-Footage](https://pixabay.com/users/coverr-free-footage-1281706/) \ud1b5\ud574 [Pixabay](https://pixabay.com/videos/india-street-busy-rickshaw-people-3175/) \n"
},
"typeVersion": 1
},
{
"id": "81185ac4-c7fd-4921-937f-109662d5dfa5",
"name": "Generate Narration Script",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1960,
500
],
"parameters": {
"text": "=These are frames of a video. Create a short voiceover script in the style of David Attenborough. Only include the narration.\n{{\n$('Generate Narration Script').isExecuted\n ? `Continue from this script:\\n${$('Generate Narration Script').all().map(item => item.json.text.replace(/\\n/g,'')).join('\\n')}`\n : ''\n}}",
"messages": {
"messageValues": [
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_1"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_2"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_3"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_4"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_5"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_6"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_7"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_8"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_9"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_10"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_11"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_12"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_13"
},
{
"type": "HumanMessagePromptTemplate",
"messageType": "imageBinary",
"binaryImageDataKey": "data_14"
}
]
},
"promptType": "define"
},
"typeVersion": 1.4
}
],
"connections": {
"Resize Frame": {
"main": [
[
{
"node": "Aggregate Frames",
"type": "main",
"index": 0
}
]
]
},
"Capture Frames": {
"main": [
[
{
"node": "Split Out Frames",
"type": "main",
"index": 0
}
]
]
},
"Combine Script": {
"main": [
[
{
"node": "Use Text-to-Speech",
"type": "main",
"index": 0
}
]
]
},
"Download Video": {
"main": [
[
{
"node": "Capture Frames",
"type": "main",
"index": 0
}
]
]
},
"Aggregate Frames": {
"main": [
[
{
"node": "Generate Narration Script",
"type": "main",
"index": 0
}
]
]
},
"Split Out Frames": {
"main": [
[
{
"node": "For Every 15 Frames",
"type": "main",
"index": 0
}
]
]
},
"Convert to Binary": {
"main": [
[
{
"node": "Resize Frame",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Generate Narration Script",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Use Text-to-Speech": {
"main": [
[
{
"node": "Upload to GDrive",
"type": "main",
"index": 0
}
]
]
},
"For Every 15 Frames": {
"main": [
[
{
"node": "Combine Script",
"type": "main",
"index": 0
}
],
[
{
"node": "Convert to Binary",
"type": "main",
"index": 0
}
]
]
},
"Generate Narration Script": {
"main": [
[
{
"node": "Stay Within Service Limits",
"type": "main",
"index": 0
}
]
]
},
"Stay Within Service Limits": {
"main": [
[
{
"node": "For Every 15 Frames",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Download Video",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2ApiopenAiApi
Pro
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About this workflow
Workflow 2467. Uses lmChatOpenAi, httpRequest, googleDrive, editImage. Event-driven trigger; 21 nodes.
Source: https://github.com/n8nKOR/n8n-shared-workflow/blob/62a671327e906c22a40d290b339ff6d2373f8d75/workflows/n8n-workflows-by-Zie619/ai/2467_workflow_2467.json — original creator credit. Request a take-down →
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