
Explore how to build an automated system for faceless shorts and reels using open source tools, ffmpeg, and ai-generated speech to source, create, caption, and publish content.
Install n8n locally on your pc by setting up docker desktop, pulling the latest n8n image, configuring storage and environment variables, and launching the container for local workflows.
Learn to install and configure n8n on a self-hosted cloud by setting up docker and docker compose, starting the container, and building basic workflows with AI agents.
Discover how to install ffmpeg inside an n8n workflow using docker, locate the container with docker ps, and run docker exec to enable video manipulation for automations.
Install Baserow on your VPS by adjusting the URL to localhost or VPN address, configure ports, start Docker services, and sign up to access Baserow.
Learn how to install Kokoro TTS, run the GPU version with Docker, access the service via IP address and host API, and use the web and API endpoints.
Install minio using docker on your local pc by configuring docker desktop, docker compose, and a public bucket with an access key and port 9000 for storage.
Learn how to install the NCA toolkit with Docker, create a bucket, and configure access keys and API endpoint for automated faceless shorts.
Import your n8n workflow by copying and pasting the content into a new workflow or by importing the downloaded file, then adjust connections to match your setup.
Learn to configure Baserow for storage in an automated shorts and reels pipeline, including creating a reels database and tables for video and music, and generating social posts.
Load quotes into Baserow by exporting a CSV, importing it into the video logs table, and configuring fields, status, and post timing for automated posts.
Generate dynamic islamic quotes with ChatGPT, format them as titles and transcripts, and automate spreadsheet-based video log workflows for faceless shorts and reels with n8n.
Import the n8n workflow, configure the schedule trigger and accounts, then fetch videos and music, aggregate and randomize parts, generate names, and prep YouTube uploads.
Learn to set up OAuth 2.0 credentials for the YouTube API, activate Google APIs in the console, create web credentials, configure the redirect URL, connect, and upload videos with FFmpeg.
Build once. Run forever.
You’ve seen them—
Those short, faceless videos with crisp visuals, smooth motion, and clean edits.
They’re everywhere.
TikTok. YouTube Shorts. Instagram Reels.
They look effortless.
They’re not made by hand.
They’re automated.
This course is for creators who are done doing everything manually.
If you:
Don’t want to show your face
Don’t want to spend hours editing
Can’t stay consistent with posting
Are tired of switching between 5 different tools just to create one video
Then you need more than a tutorial.
You need a system.
In this course, you’ll learn how to use n8n, an open-source automation platform, to create a complete faceless video production pipeline.
No camera.
No mic.
No voiceover.
No editing timeline.
Just a system that turns text or quotes into short videos—automatically.
You’ll learn how to:
Install n8n locally or on a self-hosted VPS
Connect and configure tools like FFmpeg, BaseRow, Minio, and NCA Toolkit
Import your automation workflow into n8n
Load quotes and generate visual content at scale
Set up YouTube API integration to auto-publish your videos
By the end of the course, you’ll have:
A fully automated content engine
A local workflow you control (no monthly tools required)
The ability to generate faceless shorts at scale
A replicable system you can use for multiple channels or niches
This is not a hack.
It’s not a “how to go viral” promise.
This is infrastructure.
A blueprint for content without burnout.
If you’re stuck in the endless cycle of
“idea → edit → post → repeat,”
this course will break it.
You won’t just make videos.
You’ll deploy a system that makes them for you.
No voice.
No face.
No limits.