Back to Create faceless YouTube shorts with Zvid, ElevenLabs and OpenRouter
Card snapshot
n8n-workflow-19628.n8n.io
·
2026-09-24 08:50:09 UTC
·
e77de6c394d5f0dc0edfae3580db49fa1bb4daf8fc70dd2fe1ec8ee9235c38a7
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
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"icon": "file:youTube.png",
"name": "n8n-nodes-base.youTube",
"codex": {
"data": {
"resources": {
"generic": [
{
"url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
"icon": "\ud83d\udcaa",
"label": "Using Automation to Boost Productivity in the Workplace"
}
],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.youtube/"
}
],
"credentialDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
}
]
},
"categories": [
"Marketing"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"input\"]",
"defaults": {
"name": "YouTube"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/png;base64,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"
},
"displayName": "YouTube",
"typeVersion": 1,
"nodeCategories": [
{
"id": 27,
"name": "Marketing"
}
]
},
{
"id": 514,
"icon": "fa:pause-circle",
"name": "n8n-nodes-base.wait",
"codex": {
"data": {
"alias": [
"pause",
"sleep",
"delay",
"timeout"
],
"resources": {
"generic": [
{
"url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
"icon": "\ud83d\udc65",
"label": "How to get started with CRM automation (with 3 no-code workflow ideas"
},
{
"url": "https://n8n.io/blog/aws-workflow-automation/",
"label": "7 no-code workflow automations for Amazon Web Services"
}
],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.wait/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers",
"Flow"
]
}
}
},
"group": "[\"organization\"]",
"defaults": {
"name": "Wait",
"color": "#804050"
},
"iconData": {
"icon": "pause-circle",
"type": "icon"
},
"displayName": "Wait",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 565,
"icon": "fa:sticky-note",
"name": "n8n-nodes-base.stickyNote",
"codex": {
"data": {
"alias": [
"Comments",
"Notes",
"Sticky"
],
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers"
]
}
}
},
"group": "[\"input\"]",
"defaults": {
"name": "Sticky Note",
"color": "#FFD233"
},
"iconData": {
"icon": "sticky-note",
"type": "icon"
},
"displayName": "Sticky Note",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 834,
"icon": "file:code.svg",
"name": "n8n-nodes-base.code",
"codex": {
"data": {
"alias": [
"cpde",
"Javascript",
"JS",
"Python",
"Script",
"Custom Code",
"Function"
],
"details": "The Code node allows you to execute JavaScript in your workflow.",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
}
]
},
"categories": [
"Development",
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers",
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Code"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Code",
"typeVersion": 2,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 838,
"icon": "fa:mouse-pointer",
"name": "n8n-nodes-base.manualTrigger",
"codex": {
"data": {
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "When clicking \u2018Execute workflow\u2019",
"color": "#909298"
},
"iconData": {
"icon": "mouse-pointer",
"type": "icon"
},
"displayName": "Manual Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 839,
"icon": "fa:clock",
"name": "n8n-nodes-base.scheduleTrigger",
"codex": {
"data": {
"alias": [
"Time",
"Scheduler",
"Polling",
"Cron",
"Interval"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\",\"schedule\"]",
"defaults": {
"name": "Schedule Trigger",
"color": "#31C49F"
},
"iconData": {
"icon": "clock",
"type": "icon"
},
"displayName": "Schedule Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow creates a narrated faceless YouTube Shorts video by generating a script with OpenRouter, synthesizing voiceover with ElevenLabs, assembling stock footage and optional music via Zvid, rendering the final MP4 in Zvid, and optionally uploading the result to YouTube. How it works 1. Runs on a daily schedule at 9am or starts manually. 2. Uses Channel Config and recent topics from production runs to guide an OpenRouter script with several narration scenes. 3. Splits the script into scenes, searches Zvid\u2019s stock library for matching video clips per scene, and selects the best-fit clip for each one. 4. Searches Zvid\u2019s stock library for background music by tag, checks candidate files are downloadable and under the configured size limit, and picks one track or proceeds without music. 5. Generates narration and character-level alignment with ElevenLabs, converts the alignment into word timings, and uploads the MP3 to Zvid. 6. Assembles a Zvid project with scene cuts aligned to the narration timings, karaoke-style captions, branding, transitions, and an optional outro, then validates the project payload. 7. By default, submits a Zvid render job, waits for completion, downloads the MP4, and makes it available in Watch video. Optional YouTube upload is disabled by default. Setting dryRun to true instead saves an editor draft and returns a render quote. Setup 1. Before configuring Zvid credentials, install @zvid/n8n-nodes-zvid from Settings \u2192 Community nodes. A workspace owner/admin may need to install it. On n8n Cloud, the owner can search for Zvid in the Nodes panel and install the verified integration. Create a Zvid API credential with a key from https://app.zvid.io/api-keys and Base URL https://api.zvid.io; select it on the Zvid nodes and Upload voiceover. 2. Add an OpenRouter API credential and set the model ID in Channel Config (for example openai/gpt-4.1-mini). 3. Add an ElevenLabs HTTP Header Auth credential with xi-api-key, and set the voiceId and TTS settings in Channel Config. 4. Customize Channel Config: niche, audience, channel handle, voice, target duration, and branding. Run manually with dryRun: false (the default); this renders a video and spends Zvid credits. Open Watch video \u2192 Binary \u2192 data \u2192 View to review the MP4. Set dryRun: true for an optional editor draft and quote; OpenRouter and ElevenLabs usage can still incur charges. 5. YouTube publishing is optional: connect YouTube OAuth2, enable the YouTube Data API, and set uploadToYouTube: true when ready. The default privacy is private. Activate the daily schedule after reviewing the output. Requirements - An n8n workspace with the verified Zvid integration installed, Zvid render credits, OpenRouter access, and ElevenLabs text-to-speech access for your selected voice. YouTube OAuth2 is only required for optional uploads. Customization - Change the niche, audience, channel handle, voice, scene count, caption colors and animation, transitions, or outro in Channel Config. Review factual claims before publishing. Additional info All supported Zvid operations use the official Zvid node. The Upload voiceover step uses HTTP Request with the same Zvid API credential because the published node does not expose multipart uploads. No separate stock-library account is required."
}
}