how to make faceless youtube shorts with ai

You can spin up a fully automated pipeline that takes a keyword list, writes a concise script, turns it into a natural-sounding voice, matches the narration to royalty-free footage, assembles a 15-second vertical video, and publishes it to your YouTube channel without ever showing a human face. The result is a Faceless YouTube Automation System that churns out viral-ready Shorts on demand.

Faceless YouTube Automation System is a workflow that combines AI-generated copy, synthetic speech, and stock video clips to create face-less YouTube Shorts automatically.

Below you'll find every component you need, a step-by-step build guide, the common failure points, and a concise FAQ. By the end of this article you'll be able to answer the question "how to make faceless youtube shorts with ai" for yourself and for clients who want to scale short-form content without hiring a production crew.

What you need

Estimated build time: 2 - 3 weeks of part-time work (research, API key setup, workflow debugging, and publishing automation).

How to make faceless youtube shorts with ai

The core of the system lives in n8n, an open-source workflow engine. Each node performs a single, testable action: fetch a keyword, generate a script, synthesize speech, pull matching footage, assemble the video, and push it to YouTube. Follow the numbered steps precisely; missing a flag or mis-naming a field will break the chain.

1. Prepare API credentials

1.1. OpenAI: Log into https://platform.openai.com and create a new API key. Store it as OPENAI_API_KEY in your n8n environment variables.

1.2. ElevenLabs: Sign up at https://elevenlabs.io, generate an API key, and set ELEVENLABS_API_KEY.

1.3. YouTube: Follow the YouTube Creators guide (https://www.youtube.com/creators) to create a Google Cloud project, enable the YouTube Data API v3, and download the OAuth 2.0 client credentials JSON.

1.4. Midjourney (optional): If you use the Discord-based service, add your Discord token to MIDJOURNEY_DISCORD_TOKEN. For a self-hosted Stable Diffusion instance, expose the /v1/text2img endpoint and set STABLEDIFFUSION_URL.

1.5. RunwayML (optional): Obtain a Runway API key and store it as RUNWAY_API_KEY.

Tip: Keep all keys in a .env file that n8n loads on startup. Never commit secrets to Git.

2. Install and launch n8n

# Pull the official Docker image
docker run -d \
 --name n8n \
 -p 5678:5678 \
 -v ~/.n8n:/home/node/.n8n \
 -e N8N_BASIC_AUTH_ACTIVE=true \
 -e N8N_BASIC_AUTH_USER=admin \
 -e N8N_BASIC_AUTH_PASSWORD=strongpassword \
 -e OPENAI_API_KEY \
 -e ELEVENLABS_API_KEY \
 -e YOUTUBE_CLIENT_SECRET=/home/node/.n8n/google-client-secret.json \
 n8nio/n8n

After the container starts, open http://localhost:5678 and log in with the basic-auth credentials you set. The UI will be your visual canvas for the workflow.

3. Create the keyword source node

Add an HTTP Request node named GetKeyword that calls a simple Google Sheet JSON endpoint you maintain (or a third-party keyword API).

• Method: GET
• URL: https://script.google.com/macros/s/your-script-id/exec
• Response format: JSON

Map the first element of the returned array to a workflow variable {{ $json[0] }}. This will be the seed for the rest of the pipeline.

4. Generate a script with OpenAI

Add an OpenAI node called WriteScript.

• Model: gpt-4o (or the latest model)
• Prompt:

Write a 45-word YouTube Shorts script about "{{ $node["GetKeyword"].json["keyword"] }}". Include a hook in the first 5 seconds, a clear benefit, and a call-to-action to like or follow. Use a conversational tone.

• Temperature: 0.7
• Max tokens: 150

The node returns a JSON object with text. Store it in {{ $json["text"] }} for later steps.

5. Synthesize voice with ElevenLabs

Add an HTTP Request node named VoiceOver.

• Method: POST
• URL: https://api.elevenlabs.io/v1/text-to-speech/your-voice-id
• Headers:

{
 "xi-api-key": "{{ $env.ELEVENLABS_API_KEY }}",
 "Content-Type": "application/json"
}

• Body (JSON):

{
 "text": "{{ $node["WriteScript"].json["text"] }}",
 "voice_settings": {
 "stability": 0.75,
 "similarity_boost": 0.85
 }
}

Set Response format to Binary and name the output file voice.mp3.

What this does: Sends the script to ElevenLabs and receives an MP3 audio file that sounds like a human narrator.

6. Find matching footage on Pexels

Create an HTTP Request node SearchFootage.

• Method: GET
• URL: https://api.pexels.com/videos/search
• Query Parameters:

• Headers:

{
 "Authorization": "YOUR_PEXELS_API_KEY"
}

Parse the JSON response and pick the first video URL ({{ $json["videos"][0]["video_files"][0]["link"] }}). Store it as {{ $node["SearchFootage"].json["selectedUrl"] }}.

7. Download the video clip

Add a HTTP Request node DownloadClip with

• Method: GET
• URL: {{ $node["SearchFootage"].json["selectedUrl"] }}
• Response format: Binary
• File name: clip.mp4

8. Assemble the final short in Descript (or FFmpeg)

If you have a Descript account, use its API (beta) to concatenate the clip and voiceover. Otherwise, run an FFmpeg command via the Execute Command node.

Using FFmpeg (self-hosted)

ffmpeg -y -i /data/clip.mp4 -i /data/voice.mp3 -c:v libx264 -c:a aac -shortest /data/output.mp4

• Input paths: {{ $node["DownloadClip"].binary["data"] }} and {{ $node["VoiceOver"].binary["data"] }} are saved to /data.
• Output: output.mp4 (vertical, 9:16 aspect ratio).

What this does: Merges the stock video and AI voice into a single, YouTube-compatible MP4 file.

9. Generate a thumbnail with Midjourney

Add a Midjourney node MakeThumbnail (or use a self-hosted Stable Diffusion endpoint).

• Prompt:

A bold, colorful YouTube Shorts thumbnail featuring the text "{{ $node["GetKeyword"].json["keyword"] }}" in large sans-serif, with a subtle AI-generated abstract background.

• Output: thumbnail.png.

If you use Midjourney's Discord bot, configure the node to forward the prompt and capture the image URL from the bot response.

10. Upload to YouTube

Create a YouTube node UploadShort.

• OAuth2 credentials: select the client JSON you placed in google-client-secret.json.
• Title: {{ $node["GetKeyword"].json["keyword"] }} - Quick Tips
• Description: {{ $node["WriteScript"].json["text"] }}
• Tags: {{ $node["GetKeyword"].json["keyword"] }}, short, tip, AI
• Privacy status: public (or unlisted for testing)
• Video file: {{ $node["Execute Command"].binary["data"] }} (the MP4 from step 8)
• Thumbnail file: {{ $node["MakeThumbnail"].binary["data"] }}

n8n will handle the OAuth token refresh automatically after you authorize the first upload.

11. Loop and schedule

Add a Cron node at the top of the workflow to trigger the entire pipeline every 6 hours (or any cadence you prefer). Connect its output to GetKeyword to start a new Short automatically.

12. Test end-to-end

Run the workflow manually the first time. Verify:

• The script is readable and under 60 words.
• The voice file is ~45 seconds long.
• The video plays in a vertical format without black bars.
• The thumbnail appears correctly on the YouTube Shorts page.

If any node fails, consult the "Where this breaks" section below.

Where this breaks

FROM n8nio/n8n:latest
RUN apk add --no-cache ffmpeg

Rebuild and redeploy the container. |
| Incorrect aspect ratio | YouTube shows black bars on the sides | Add -vf "scale=720:1280,setsar=1:1" to the FFmpeg command to force 9:16. |
| OAuth token revocation | UploadShort node fails after 30 days | Re-authorize the YouTube node through the UI; n8n stores refreshed tokens automatically thereafter. |

Important: All external APIs have usage caps that can become costly if you run the workflow too frequently. Set explicit budget alerts in your OpenAI and Google Cloud consoles.

For a deeper technical reference, see n8n's documentation.

FAQ

How many keywords can I process per day?

The limit depends on your YouTube Data API daily quota (≈10 000 units) and the OpenAI usage you permit. A single Short upload costs roughly 160 units, leaving room for dozens of videos. Adjust the cron schedule to stay within your budget.

Can I replace ElevenLabs with another TTS service?

Yes. The VoiceOver node only expects a POST endpoint that returns an audio file. Swap the URL and required headers for Amazon Polly, Google Cloud Text-to-Speech, or any self-hosted TTS engine, keeping the same binary output handling.

Do I need a paid Midjourney subscription?

Midjourney's free trial provides a limited number of generation credits. For a production pipeline you'll want at least the Basic $10 /mo plan, which grants 200 generations per month. If you prefer an entirely self-hosted solution, replace the Midjourney node with a Stable Diffusion API call.

What if I want custom branding on each Short?

Add a Canva node after MakeThumbnail that loads a pre-designed template and injects the keyword as overlay text via the Canva API. Then feed the resulting PNG into the YouTube upload node as the thumbnail.

Is this workflow scalable to 100 Shorts per day?

Technically yes, but you'll hit multiple bottlenecks: OpenAI token limits, ElevenLabs concurrent synthesis, and YouTube quota. Mitigate by running several n8n instances behind a load balancer, using batch keyword lists, and negotiating higher API quotas with the providers.

Building a Faceless YouTube Automation System once gives you a reusable engine for countless niches - tech tips, finance hacks, cooking shortcuts, or any micro-learning content you can script in under a minute. By following the exact steps above, you now have a concrete, production-ready pipeline that answers the core question how to make faceless youtube shorts with ai without any guesswork.

Ready to start selling these automations? Check out our guide on AI automations you can sell and grab the free cheat-sheet at the end of the article: https://getaab.com/free.

Happy building, and may your Shorts go viral.

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