RenderIO This workflow corresponds to n8n.io template #15883 — we link there as the canonical source.
This workflow follows the Form → Form Trigger 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 →
{
"id": "hvMPKiLrtGneutkK",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "TikTok Visual Hook Splitter",
"tags": [],
"nodes": [
{
"id": "7197cd90-2517-4b06-a69d-9f451e04738e",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-416,
-240
],
"parameters": {
"width": 480,
"height": 848,
"content": "## TikTok Visual Hook Splitter\n\n### How it works\n\n1. Listens for a TikTok URL submission and triggers the workflow.\n2. Downloads the video and initiates scene detection via Renderio.\n3. Waits for the detection process, checks the status, and handles retries if needed.\n4. Parses the detected scenes and splits the video using an HTTP request.\n5. Monitors the split process, handles retries, and displays the download link when completed.\n\n### Setup steps\n\n- [ ] Configure formTrigger for TikTok URL submission.\n- [ ] Ensure Renderio API is accessible and configured.\n- [ ] Set HTTP request parameters for video splitting.\n\n### Customization\n\nThe wait times and retry logic can be customized for preferred duration and conditions."
},
"typeVersion": 1
},
{
"id": "f50f3d1d-5d7b-42e5-aee5-ac747b429f8d",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
144,
-48
],
"parameters": {
"color": 7,
"width": 480,
"height": 320,
"content": "## Trigger and initiate detection\n\nStarts when a TikTok URL is submitted, downloading the video and beginning scene detection."
},
"typeVersion": 1
},
{
"id": "5ddbd396-0c59-485b-b245-9e95e8aad347",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
688,
-32
],
"parameters": {
"color": 7,
"width": 640,
"height": 640,
"content": "## Scene detection status check\n\nWaits and checks if scene detection is complete, managing retries if detection isn't done."
},
"typeVersion": 1
},
{
"id": "27b9b7e6-9e20-4629-98e3-d00f7b87cf1d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1376,
-112
],
"parameters": {
"color": 7,
"width": 400,
"height": 304,
"content": "## Parse and split scene\n\nHandles parsing of detected scene cuts and splitting the video via HTTP request."
},
"typeVersion": 1
},
{
"id": "12fdf9b1-9500-489d-b168-dda7384a180e",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1808,
-96
],
"parameters": {
"color": 7,
"width": 672,
"height": 560,
"content": "## Monitor and retry split\n\nMonitors the status of the video split, with retry logic if necessary."
},
"typeVersion": 1
},
{
"id": "c04b5d79-2e97-4148-8669-d06b3cd4cb7d",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
2528,
-240
],
"parameters": {
"color": 7,
"height": 336,
"content": "## Display download link\n\nShows the link for downloading the split visual hook once processing is complete."
},
"typeVersion": 1
},
{
"id": "af2da41a-2a6b-439f-8fc1-b9885e75d1b1",
"name": "On TikTok URL Submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
192,
96
],
"parameters": {
"options": {
"buttonLabel": "Extract Visual Hook"
},
"formTitle": "TikTok Visual Hook Splitter",
"formFields": {
"values": [
{
"fieldLabel": "TikTok URL",
"placeholder": "https://www.tiktok.com/@user/video/...",
"requiredField": true
}
]
},
"responseMode": "lastNode",
"formDescription": "Paste a TikTok URL where the first 1-6 seconds are a reaction shot (smile, cry, gasp) and the rest is an app/product demo. The workflow auto-detects the reaction-to-demo cut with FFmpeg, then trims the source at that exact time. Ready to feed into Kling motion control with your AI avatar to mass-produce on-brand UGC reactions."
},
"executeOnce": true,
"typeVersion": 2.3
},
{
"id": "6cab0477-cbdd-4b34-9261-025bfd082e97",
"name": "Download & Detect Scenes",
"type": "n8n-nodes-renderio.renderio",
"position": [
480,
80
],
"parameters": {
"mediaUrls": {
"urlValues": [
{
"key": "in_video",
"value": "={{ $json[\"TikTok URL\"] }}"
}
]
},
"operation": "downloadAndProcessMedia",
"outputFiles": {
"fileValues": [
{
"value": "source.mp4"
},
{
"key": "out_scenes",
"value": "scenes.txt"
}
]
},
"ffmpegCommand": "-i <<in_video>> -c copy -map 0 <<out_video>> -vf \"select='gt(scene,0.3)',metadata=print:file=<<out_scenes>>\" -an -f null -"
},
"credentials": {
"renderioApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "bc03e16c-5fc3-4111-a706-c4b78d858c96",
"name": "Wait 5 Seconds for Detection",
"type": "n8n-nodes-base.wait",
"position": [
736,
96
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "7a2c6037-aa49-406c-bf32-3b723f70703a",
"name": "Verify Scene Detection Status",
"type": "n8n-nodes-renderio.renderio",
"position": [
960,
96
],
"parameters": {
"commandId": "={{ $('Download & Detect Scenes').item.json.command_id }}",
"operation": "get"
},
"credentials": {
"renderioApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "10e2722d-2ae2-4e21-bab9-6ef303b1c1fb",
"name": "If Scenes Detected",
"type": "n8n-nodes-base.if",
"position": [
1168,
96
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d1",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "PROCESSING"
},
{
"id": "d2",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "QUEUED"
},
{
"id": "d3",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "RUNNING"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "d6cadbb5-0b79-439c-8a03-2c9936be8f5a",
"name": "Extract Initial Scene Cut",
"type": "n8n-nodes-base.code",
"position": [
1424,
16
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const scenesUrl = $input.item.json.output_files.out_scenes.storage_url;\nconst sourceVideoUrl = $input.item.json.output_files.out_video.storage_url;\nconst raw = await this.helpers.httpRequest({ method: 'GET', url: scenesUrl, returnFullResponse: false });\nconst text = typeof raw === 'string' ? raw : JSON.stringify(raw);\nconst minS = 1;\nconst maxS = 6;\nconst times = [];\nconst re = /pts_time:([0-9]+\\.?[0-9]*)/g;\nlet m;\nwhile ((m = re.exec(text)) !== null) times.push(parseFloat(m[1]));\nlet hookEnd, reason;\nif (times.length === 0) { hookEnd = maxS; reason = 'no_scene_cut_fallback_to_max'; }\nelse {\n const first = times[0];\n if (first < minS) {\n const next = times.find(t => t >= minS);\n hookEnd = next != null ? Math.min(next, maxS) : maxS;\n reason = next != null ? 'first_cut_too_early_used_next' : 'first_cut_too_early_used_max';\n } else {\n hookEnd = Math.min(first, maxS);\n reason = first <= maxS ? 'first_scene_cut' : 'first_cut_above_max_capped';\n }\n}\nconst hookEndSec = Math.round(hookEnd * 1000) / 1000;\nreturn { json: { hookEndSec, allSceneCuts: times, reason, sourceVideoUrl } };"
},
"typeVersion": 2
},
{
"id": "7351537e-ed3e-4fde-b195-c58a9174d5ee",
"name": "Execute Visual Hook Split",
"type": "n8n-nodes-base.httpRequest",
"position": [
1632,
16
],
"parameters": {
"url": "https://renderio.dev/api/v1/run-ffmpeg-command",
"method": "POST",
"options": {},
"jsonBody": "={{ JSON.stringify({ input_files: { in_video: $json.sourceVideoUrl }, output_files: { out_hook: 'visual_hook.mp4' }, ffmpeg_command: '-i <<in_video>> -t ' + $json.hookEndSec + ' -c:v libx264 -preset veryfast -crf 20 -c:a aac -b:a 128k -movflags +faststart <<out_hook>>' }) }}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "renderioApi"
},
"credentials": {
"renderioApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.4
},
{
"id": "d28b1e2e-8fe6-44ab-b575-57721fe97a82",
"name": "Wait 5 Seconds for Split",
"type": "n8n-nodes-base.wait",
"position": [
1856,
16
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "7d02229f-6cca-4da1-8872-92d9d9d30027",
"name": "Verify Split Execution Status",
"type": "n8n-nodes-renderio.renderio",
"position": [
2080,
16
],
"parameters": {
"commandId": "={{ $('Execute Visual Hook Split').item.json.command_id }}",
"operation": "get"
},
"credentials": {
"renderioApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "504eaea0-8fe2-4f64-b429-f1a9ac55ffe2",
"name": "If Split Successful",
"type": "n8n-nodes-base.if",
"position": [
2304,
16
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "s1",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "PROCESSING"
},
{
"id": "s2",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "QUEUED"
},
{
"id": "s3",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "RUNNING"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "154647d0-6a5d-498e-997f-53cf1abb352b",
"name": "Show Hook Download Link",
"type": "n8n-nodes-base.form",
"position": [
2576,
-64
],
"parameters": {
"options": {},
"operation": "completion",
"completionTitle": "Visual hook extracted",
"completionMessage": "=Status: **{{ $json.status }}**\n\nHook end time: **{{ $('Extract Initial Scene Cut').item.json.hookEndSec }}s** (detection: {{ $('Extract Initial Scene Cut').item.json.reason }})\n\nAll scene cuts detected: {{ JSON.stringify($('Extract Initial Scene Cut').item.json.allSceneCuts) }}\n\n[Download visual hook MP4]({{ $json.output_files.out_hook.storage_url }})\n\nFeed this clip into RenderIO + Kling motion control with your AI avatar to mass-produce on-brand UGC reactions."
},
"typeVersion": 2.3
},
{
"id": "f79562de-cde4-4e80-a8d5-c3f45f944cf7",
"name": "Wait 10 Seconds for Split Retry",
"type": "n8n-nodes-base.wait",
"position": [
2336,
304
],
"parameters": {
"amount": 10
},
"typeVersion": 1.1
},
{
"id": "6a4b1432-6263-472d-bd89-eb8372582838",
"name": "Wait 10 Seconds for Detect Retry",
"type": "n8n-nodes-base.wait",
"position": [
1184,
432
],
"parameters": {
"amount": 10
},
"typeVersion": 1.1
}
],
"active": true,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "448503f5-1e7a-4c36-8959-90d209181869",
"connections": {
"If Scenes Detected": {
"main": [
[
{
"node": "Extract Initial Scene Cut",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 10 Seconds for Detect Retry",
"type": "main",
"index": 0
}
]
]
},
"If Split Successful": {
"main": [
[
{
"node": "Show Hook Download Link",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 10 Seconds for Split Retry",
"type": "main",
"index": 0
}
]
]
},
"Download & Detect Scenes": {
"main": [
[
{
"node": "Wait 5 Seconds for Detection",
"type": "main",
"index": 0
}
]
]
},
"On TikTok URL Submission": {
"main": [
[
{
"node": "Download & Detect Scenes",
"type": "main",
"index": 0
}
]
]
},
"Wait 5 Seconds for Split": {
"main": [
[
{
"node": "Verify Split Execution Status",
"type": "main",
"index": 0
}
]
]
},
"Execute Visual Hook Split": {
"main": [
[
{
"node": "Wait 5 Seconds for Split",
"type": "main",
"index": 0
}
]
]
},
"Extract Initial Scene Cut": {
"main": [
[
{
"node": "Execute Visual Hook Split",
"type": "main",
"index": 0
}
]
]
},
"Wait 5 Seconds for Detection": {
"main": [
[
{
"node": "Verify Scene Detection Status",
"type": "main",
"index": 0
}
]
]
},
"Verify Scene Detection Status": {
"main": [
[
{
"node": "If Scenes Detected",
"type": "main",
"index": 0
}
]
]
},
"Verify Split Execution Status": {
"main": [
[
{
"node": "If Split Successful",
"type": "main",
"index": 0
}
]
]
},
"Wait 10 Seconds for Split Retry": {
"main": [
[
{
"node": "Verify Split Execution Status",
"type": "main",
"index": 0
}
]
]
},
"Wait 10 Seconds for Detect Retry": {
"main": [
[
{
"node": "Verify Scene Detection Status",
"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.
renderioApi
Pro
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About this workflow
Works on both n8n Cloud and self-hosted instances. This template uses the community node, which is installable on n8n Cloud and self-hosted setups.
Source: https://n8n.io/workflows/15883/ — original creator credit. Request a take-down →
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