This workflow follows the Chat Trigger → Google Sheets 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 →
{
"createdAt": "2025-06-06T20:25:30.273Z",
"updatedAt": "2025-06-12T00:26:49.000Z",
"id": "YPjY5Fm5h3SpijZI",
"name": "Tiktok",
"active": false,
"isArchived": false,
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "tiktok-transform",
"options": {}
},
"id": "db72418c-59b4-437b-9dd5-1aa9f4ee27ed",
"name": "Webhook TikTok",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
-1160,
-180
]
},
{
"parameters": {
"functionCode": "// Validation et extraction de l'URL TikTok\nconst input = $input.first().json;\nconst tiktokUrl = input.url || input.tiktok_url || input.chatInput;\n\nif (!tiktokUrl) {\n throw new Error('URL TikTok manquante');\n}\n\n// V\u00e9rification format URL TikTok\nif (!tiktokUrl.includes('tiktok.com')) {\n throw new Error('URL TikTok invalide');\n}\n\nreturn {\n json: {\n tiktok_url: tiktokUrl,\n timestamp: new Date().toISOString(),\n workflow_id: `workflow_${Date.now()}`\n }\n};"
},
"id": "853bb7f2-025a-424c-af3f-1d2dcadf843f",
"name": "Valider URL",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-900,
-100
]
},
{
"parameters": {
"url": "https://tikwm.com/api/",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "url",
"value": "={{ $json.tiktok_url }}"
},
{
"name": "hd",
"value": "1"
}
]
},
"options": {}
},
"id": "95353939-a2b1-45f2-97aa-244abf5d08af",
"name": "T\u00e9l\u00e9charger TikTok",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.1,
"position": [
-660,
-100
]
},
{
"parameters": {
"command": "=wget -O /tmp/video_{{ $json.workflow_id }}.mp4 \"{{ $json.video_url }}\""
},
"id": "ef3939a1-6244-42fa-a701-cf5220081a64",
"name": "Sauvegarder Vid\u00e9o",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
-220,
-100
],
"alwaysOutputData": true,
"notesInFlow": false
},
{
"parameters": {
"command": "=ffmpeg -i /tmp/video_{{ $(\"Edit Download\").first().json.workflow_id }}.mp4 -vn -acodec pcm_s16le /tmp/audio_{{ $(\"Edit Download\").first().json.workflow_id }}.wav"
},
"id": "6f98d8a7-6fa7-4024-a121-e3b208b2a0c7",
"name": "Extraire Audio",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
0,
-180
]
},
{
"parameters": {
"command": "=mkdir -p /tmp/frames_{{ $(\"Edit Download\").first().json.workflow_id }};\nffmpeg -i /tmp/video_{{ $(\"Edit Download\").first().json.workflow_id }}.mp4 -vf fps=2 /tmp/frames_{{ $(\"Edit Download\").first().json.workflow_id }}/frame_%04d.png"
},
"id": "c42f61a5-2ebb-4b07-80a2-01174f1e3837",
"name": "Extraire Frames",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
0,
-20
]
},
{
"parameters": {
"functionCode": "// Script Python pour d\u00e9tecter les visages avec MediaPipe\nconst pythonScript = `\nimport cv2\nimport mediapipe as mp\nimport json\nimport glob\nimport os\n\nmp_face_detection = mp.solutions.face_detection\nmp_drawing = mp.solutions.drawing_utils\n\nworkflow_id = \"${$json.workflow_id}\"\nframes_path = f\"/tmp/frames_{workflow_id}/*.png\"\nresults = []\n\nwith mp_face_detection.FaceDetection(model_selection=0, min_detection_confidence=0.5) as face_detection:\n frame_files = sorted(glob.glob(frames_path))\n \n for i, frame_path in enumerate(frame_files):\n image = cv2.imread(frame_path)\n image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n \n detection_results = face_detection.process(image_rgb)\n \n if detection_results.detections:\n for j, detection in enumerate(detection_results.detections):\n bbox = detection.location_data.relative_bounding_box\n results.append({\n \"frame_number\": i,\n \"face_id\": j,\n \"timestamp\": i * 0.5, # 2 FPS\n \"bbox\": {\n \"x\": bbox.xmin,\n \"y\": bbox.ymin,\n \"width\": bbox.width,\n \"height\": bbox.height\n },\n \"confidence\": detection.score[0],\n \"frame_path\": frame_path\n })\n\nwith open(f\"/tmp/faces_{workflow_id}.json\", \"w\") as f:\n json.dump(results, f)\n\nprint(json.dumps({\"faces_detected\": len(results), \"output_file\": f\"/tmp/faces_{workflow_id}.json\"}))\n`;\n\nreturn {\n json: {\n python_script: pythonScript,\n workflow_id: $json.workflow_id\n }\n};"
},
"id": "78c80c32-0826-4a48-988f-6b645ec9f08a",
"name": "Pr\u00e9parer D\u00e9tection Visages",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-1100,
400
]
},
{
"parameters": {
"command": "python3 -c \"{{ $json.python_script }}\""
},
"id": "25c8e10a-e314-4ccd-94ab-d5eab43379be",
"name": "D\u00e9tecter Visages",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
-880,
400
]
},
{
"parameters": {
"functionCode": "// Lire et traiter les r\u00e9sultats de d\u00e9tection\nconst fs = require('fs');\nconst workflowId = $('Pr\u00e9parer D\u00e9tection Visages').first().json.workflow_id;\nconst facesFile = `/tmp/faces_${workflowId}.json`;\n\ntry {\n const facesData = JSON.parse(fs.readFileSync(facesFile, 'utf8'));\n \n // Grouper les visages par position pour identifier les diff\u00e9rentes personnes\n const speakers = [];\n const threshold = 0.3; // Seuil de similarit\u00e9 de position\n \n facesData.forEach(face => {\n let assigned = false;\n \n for (let speaker of speakers) {\n const avgX = speaker.faces.reduce((sum, f) => sum + f.bbox.x, 0) / speaker.faces.length;\n const avgY = speaker.faces.reduce((sum, f) => sum + f.bbox.y, 0) / speaker.faces.length;\n \n if (Math.abs(face.bbox.x - avgX) < threshold && Math.abs(face.bbox.y - avgY) < threshold) {\n speaker.faces.push(face);\n assigned = true;\n break;\n }\n }\n \n if (!assigned) {\n speakers.push({\n speaker_id: speakers.length,\n faces: [face],\n avg_position: { x: face.bbox.x, y: face.bbox.y }\n });\n }\n });\n \n return speakers.map(speaker => ({\n json: {\n speaker_id: speaker.speaker_id,\n face_count: speaker.faces.length,\n first_appearance: speaker.faces[0].timestamp,\n last_appearance: speaker.faces[speaker.faces.length - 1].timestamp,\n avg_position: speaker.avg_position,\n sample_frame: speaker.faces[0].frame_path,\n workflow_id: workflowId\n }\n }));\n \n} catch (error) {\n throw new Error(`Erreur lecture d\u00e9tection: ${error.message}`);\n}"
},
"id": "1baad5aa-f5b5-4dd2-a00e-5cc239437b99",
"name": "Traiter Visages D\u00e9tect\u00e9s",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-660,
400
]
},
{
"parameters": {
"functionCode": "// Pr\u00e9parer la transformation en avatar enfant\nconst speakerData = $input.first().json;\n\n// Extraire le visage de l'image de r\u00e9f\u00e9rence\nconst extractCommand = `ffmpeg -i \"${speakerData.sample_frame}\" -vf \"crop=w*${speakerData.avg_position.x + 0.2}:h*${speakerData.avg_position.y + 0.2}:w*${speakerData.avg_position.x}:h*${speakerData.avg_position.y}\" /tmp/face_${speakerData.workflow_id}_${speakerData.speaker_id}.png`;\n\nreturn {\n json: {\n extract_command: extractCommand,\n face_file: `/tmp/face_${speakerData.workflow_id}_${speakerData.speaker_id}.png`,\n speaker_id: speakerData.speaker_id,\n workflow_id: speakerData.workflow_id\n }\n};"
},
"id": "20b3a7cf-b6a2-4728-ae77-89821a00ed7b",
"name": "Pr\u00e9parer Extraction Visage",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-440,
400
]
},
{
"parameters": {
"command": "{{ $json.extract_command }}"
},
"id": "b19584ab-4c5d-4909-8794-a3d6fe56ddb0",
"name": "Extraire Visage",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
-220,
400
]
},
{
"parameters": {
"url": "https://api.replicate.com/v1/predictions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Token YOUR_REPLICATE_TOKEN"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "version",
"value": "ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4"
},
{
"name": "input",
"value": "={\"image\": \"data:image/png;base64,{{ $binary.data.toString('base64') }}\", \"prompt\": \"cute child cartoon character, pixar disney style, bright colors, animated, friendly face\", \"num_outputs\": 1}"
}
]
},
"options": {}
},
"id": "73516958-94e2-4646-9a1e-654c399d4546",
"name": "Transformer en Enfant",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.1,
"position": [
0,
400
]
},
{
"parameters": {
"functionCode": "// Pr\u00e9parer l'animation avec Wav2Lip\nconst transformResult = $input.first().json;\nconst speakerData = $('Pr\u00e9parer Extraction Visage').first().json;\n\n// Commande Wav2Lip pour animer le visage\nconst wav2lipCommand = `python wav2lip/inference.py --checkpoint_path checkpoints/wav2lip.pth --face \"${transformResult.output[0]}\" --audio \"/tmp/audio_${speakerData.workflow_id}.wav\" --outfile \"/tmp/animated_${speakerData.workflow_id}_${speakerData.speaker_id}.mp4\"`;\n\nreturn {\n json: {\n wav2lip_command: wav2lipCommand,\n animated_file: `/tmp/animated_${speakerData.workflow_id}_${speakerData.speaker_id}.mp4`,\n child_avatar: transformResult.output[0],\n speaker_id: speakerData.speaker_id,\n workflow_id: speakerData.workflow_id\n }\n};"
},
"id": "bee72df1-22bd-4ae1-8e80-1bf876a7e2e2",
"name": "Pr\u00e9parer Animation",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-1100,
840
]
},
{
"parameters": {
"command": "{{ $json.wav2lip_command }}"
},
"id": "ae4cf970-cbf9-4ffd-8cb2-3c59e1b15928",
"name": "Animer Visage",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
-880,
840
]
},
{
"parameters": {
"functionCode": "// Assembler la vid\u00e9o finale\nconst animationData = $input.all();\nconst workflowId = animationData[0].json.workflow_id;\n\n// Cr\u00e9er la commande FFmpeg pour assembler toutes les animations\nlet overlayFilter = '[0:v]';\nlet inputs = `-i /tmp/video_${workflowId}.mp4`;\n\nanimationData.forEach((data, index) => {\n inputs += ` -i \"${data.json.animated_file}\"`;\n const nextIndex = index + 1;\n const outputLabel = index === animationData.length - 1 ? '[out]' : `[v${nextIndex}]`;\n overlayFilter += `overlay=0:0:enable='between(t,${data.json.start_time || 0},${data.json.end_time || 999})'${outputLabel}`;\n if (index < animationData.length - 1) {\n overlayFilter = `${outputLabel}`;\n }\n});\n\nconst finalCommand = `ffmpeg ${inputs} -filter_complex \"${overlayFilter}\" -map \"[out]\" -map 0:a -c:a copy /tmp/final_${workflowId}.mp4`;\n\nreturn {\n json: {\n final_command: finalCommand,\n final_video: `/tmp/final_${workflowId}.mp4`,\n workflow_id: workflowId,\n speakers_count: animationData.length\n }\n};"
},
"id": "60766743-d785-48f8-8a51-e3a3c00e82a3",
"name": "Pr\u00e9parer Assemblage Final",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-660,
840
]
},
{
"parameters": {
"command": "{{ $json.final_command }}"
},
"id": "b0f33305-a1c6-42d0-abe9-91c0f6aa814f",
"name": "Assembler Vid\u00e9o Finale",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
-440,
840
]
},
{
"parameters": {
"functionCode": "// R\u00e9ponse finale avec les r\u00e9sultats\nconst finalData = $input.first().json;\n\nreturn {\n json: {\n success: true,\n message: \"Transformation termin\u00e9e avec succ\u00e8s\",\n final_video_path: finalData.final_video,\n workflow_id: finalData.workflow_id,\n speakers_processed: finalData.speakers_count,\n download_url: `http://your-server.com/download/${finalData.workflow_id}`,\n processing_time: new Date().toISOString()\n }\n};"
},
"id": "542a89e4-19ab-4b1b-8b9f-9922a056366a",
"name": "R\u00e9ponse Finale",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-220,
840
]
},
{
"parameters": {
"content": "## Requirements:\n\n\nInstall dependencies\n\n```bash\nsudo apt update\nsudo apt install -y python3 python3-pip ffmpeg wget\n```\n\nInstall MediaPipe\n```bash\npip install mediapipe opencv-python\n```\n\nInstall Wav2Lip (optional - can be replaced by Replicate)\n```bash\ngit clone https://github.com/Rudrabha/Wav2Lip.git\ncd Wav2Lip\npip install -r requirements.txt\n```",
"height": 560,
"width": 520
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-2260,
120
],
"id": "3c06e575-1c85-4952-9084-c902934431f6",
"name": "Sticky Note"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
-1160,
0
],
"id": "eb4efad9-4ad3-499a-9b5e-73a2d7d1173e",
"name": "When chat message received"
},
{
"parameters": {
"type": "SHA256",
"value": "={{ $json.data.id }}{{ $json.data.title }}",
"dataPropertyName": "hash"
},
"type": "n8n-nodes-base.crypto",
"typeVersion": 1,
"position": [
-440,
-300
],
"id": "47f9c2cc-1f78-42ff-bcd3-65b151e66d05",
"name": "Crypto"
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.6,
"position": [
-220,
-380
],
"id": "aba50d9c-12fa-4bef-a914-961143144460",
"name": "Google Sheets",
"disabled": true
},
{
"parameters": {
"functionCode": "// Traitement de la r\u00e9ponse de t\u00e9l\u00e9chargement\nconst response = $input.first().json;\n\nif (response.code !== 0) {\n throw new Error('\u00c9chec du t\u00e9l\u00e9chargement TikTok');\n}\n\nconst data = response.data;\n \nreturn {\n json: {\n video_url: data.hdplay || data.play,\n video_title: data.title,\n duration: data.duration,\n author: data.author.nickname,\n workflow_id: $('Valider URL').first().json.workflow_id,\n download_success: true\n }\n};"
},
"id": "1938db66-6bb7-44d5-bf62-dc94e8e8ab22",
"name": "Edit Download",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-440,
-100
]
},
{
"parameters": {
"height": 380,
"width": 1280
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-1120,
240
],
"id": "b25c02c7-5abd-4cbf-b555-c5501cc13454",
"name": "Sticky Note1"
},
{
"parameters": {
"height": 380,
"width": 1280
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-1120,
680
],
"id": "072c399c-5e8e-44fa-b9ae-b8c241038757",
"name": "Sticky Note2"
}
],
"connections": {
"Webhook TikTok": {
"main": [
[
{
"node": "Valider URL",
"type": "main",
"index": 0
}
]
]
},
"Valider URL": {
"main": [
[
{
"node": "T\u00e9l\u00e9charger TikTok",
"type": "main",
"index": 0
}
]
]
},
"T\u00e9l\u00e9charger TikTok": {
"main": [
[
{
"node": "Edit Download",
"type": "main",
"index": 0
},
{
"node": "Crypto",
"type": "main",
"index": 0
}
]
]
},
"Sauvegarder Vid\u00e9o": {
"main": [
[
{
"node": "Extraire Audio",
"type": "main",
"index": 0
},
{
"node": "Extraire Frames",
"type": "main",
"index": 0
}
]
]
},
"Extraire Frames": {
"main": [
[
{
"node": "Pr\u00e9parer D\u00e9tection Visages",
"type": "main",
"index": 0
}
]
]
},
"Pr\u00e9parer D\u00e9tection Visages": {
"main": [
[
{
"node": "D\u00e9tecter Visages",
"type": "main",
"index": 0
}
]
]
},
"D\u00e9tecter Visages": {
"main": [
[
{
"node": "Traiter Visages D\u00e9tect\u00e9s",
"type": "main",
"index": 0
}
]
]
},
"Traiter Visages D\u00e9tect\u00e9s": {
"main": [
[
{
"node": "Pr\u00e9parer Extraction Visage",
"type": "main",
"index": 0
}
]
]
},
"Pr\u00e9parer Extraction Visage": {
"main": [
[
{
"node": "Extraire Visage",
"type": "main",
"index": 0
}
]
]
},
"Extraire Visage": {
"main": [
[
{
"node": "Transformer en Enfant",
"type": "main",
"index": 0
}
]
]
},
"Transformer en Enfant": {
"main": [
[
{
"node": "Pr\u00e9parer Animation",
"type": "main",
"index": 0
}
]
]
},
"Pr\u00e9parer Animation": {
"main": [
[
{
"node": "Animer Visage",
"type": "main",
"index": 0
}
]
]
},
"Animer Visage": {
"main": [
[
{
"node": "Pr\u00e9parer Assemblage Final",
"type": "main",
"index": 0
}
]
]
},
"Pr\u00e9parer Assemblage Final": {
"main": [
[
{
"node": "Assembler Vid\u00e9o Finale",
"type": "main",
"index": 0
}
]
]
},
"Assembler Vid\u00e9o Finale": {
"main": [
[
{
"node": "R\u00e9ponse Finale",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Valider URL",
"type": "main",
"index": 0
}
]
]
},
"Crypto": {
"main": [
[
{
"node": "Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Edit Download": {
"main": [
[
{
"node": "Sauvegarder Vid\u00e9o",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"meta": null,
"versionId": "d847dfbd-6946-44e6-8f93-67ec968b5b24",
"triggerCount": 0,
"tags": []
}
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About this workflow
Tiktok. Uses httpRequest, executeCommand, chatTrigger, crypto. Webhook trigger; 24 nodes.
Source: https://github.com/tsnaketech/n8n-backups/blob/031172207e7f8bb6867cae683234c82545346626/workflows/Tiktok.json — original creator credit. Request a take-down →
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