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