🎬 100% Automated AI Faceless YouTube Video Creation Automation (Updated)

Two months ago, I developed a fully automated AI faceless YouTube video creation system. The response was incredible—LinkedIn and various Skool communities member went wild over it.

However, that automation had some complexities. It required multiple tools for different tasks, like image generation, music creation, and more, making the process both time-consuming and costly to generate a single video.

But guess what? I’ve simplified the process and made it more cost-effective🎉

After a recent conversation with the JSON2Video founder, he told they’ve added image generation (Flux Model) and voiceover ElevenLabs features directly into their platform. This means you no longer need to rely on multiple tools for your video creation.

Here’s how the new process works:

Content Scraping: We scrape the latest articles or news content from websites using RSS feeds.

AI-Driven Content Creation: The topic is passed to OpenAI, which generates video titles, voiceover scripts, and image prompts.

Content Structuring: The data is converted into JSON format using the Parse JSON module on Make

Video Generation: The content is sent to JSON2Video, where images, voiceovers, subtitles, and the final video are all created automatically.

Social Media Posting: The video is uploaded to your social media handles (for the demo, I’m posting on YouTube).

Note: You can customize Automation Workflow & Video Template in JSON2Video according to you.

With this streamlined system, you can effortlessly create engaging faceless YouTube videos in ANY niche. Save hours of manual work and let automation handle everything for you.

:movie_camera: Excited to see the results? Check out these sample videos:

:bulb: Want to try it yourself? Here is the form, Submit topic, and your video will be delivered within minutes :slight_smile:

Follow for more cool AI automation solutions :robot:

Let me know which automation solution you’re interested in seeing next :point_down:

4 Likes

Thanks for the post. I’ll be keen to checkout JSON2Video. I was about to go search for something like this. I do have a couple of questions, or potential tweaks to the flow.

  1. Why are you making 2 calls to Open AI? It looks like one is to create the title and one is to create the script. Why not do this in a single call.
  2. I’ve created something similar and have OpenAI output JSON and don’t need to use the Parse JSON module.

I think you could potentially save 2 more operations from this scenario.

In the Open AI prompt. I use the below as part of the prompt.

Output will be a JSON file which includes fields for Headline, Topic Content and Image Prompt. It should follow this formatting:

{
“Headline”: [The Headline you Create],
“Topic Content”: [The Topic Content you Create],
“Image Prompt”: [The Image Prompt you Create];
}

And ensure the output is set to JSON

My flow is broken into 3 scenarios to provide approval steps.
Scenario 1 - Creates Content Ideas
Scenario 2 - Creates the content based on the ideas
Scenario 3 - Posts the content to Buffer so that content is in the queue to be posted.

This is scenario 2 which reads the approved ideas, creates a headline, body content and generates an image prompt, and outputs it in JSON. It then generates the image from the image prompt, downloads the image to google drive and updates a sheet with all the content and links to images. Once we set the row in the sheet to approved, then the third scenario runs and drops the posts in a queue.

Thank you for the comment ,
its upto you how you can customize it but we are making 2 calls because one is creating a specific JSON that need to follow the structure and that is entirely used in json2video module .

Thank you