The advent of artificial intelligence tools like ChatGPT has opened up new frontiers for creators, particularly in the realm of YouTube videos production. This guide is designed to demystify the process of using ChatGPT, combined with other AI-driven tools, to craft engaging faceless AI YouTube videos. We embarked on an experiment to create a video from scratch, leveraging the power of AI to generate content, edit footage, and even design thumbnails, all without showing a human face. Our journey begins with acquiring the necessary tools, followed by step-by-step instructions on content creation, and culminates in analyzing the performance of our video, which garnered notable views and insights into viewer engagement.
Step 1: Acquiring GPT
The first and foundational step in our journey to creating a faceless AI YouTube videos is to acquire access to Generative Pre-trained Transformer (GPT) technology, specifically ChatGPT. This AI tool serves as the cornerstone of our content creation process, offering the ability to generate text-based content that can be transformed into a video script. Our task begins with navigating to the “Explore GPTs” section, where we can choose the most appropriate model for our video content in this case its invideo.
To ensure our video resonates with an audience, we select a niche that has proven to be popular among viewers. In our case, we delve into the relationship niche, drawing inspiration from a channel that has amassed over 3.3 million views. By analyzing this channel’s performance and content style, we can gauge the potential success of our video in attracting views and engaging an audience.
The channel in question has not posted new content for a considerable time, yet it continues to draw steady viewership, highlighting the enduring interest in its niche. The videos predominantly feature stock footage accompanied by text narratives on relationship topics, providing a successful formula we aim to emulate using AI. With the groundwork laid through the selection of GPT and niche analysis, we are poised to embark on the creative phase of our project, leveraging AI to craft content that appeals to our target audience.
Step 2: Creating the Videos Content with InVideo
After selecting the appropriate GPT model and analyzing successful content within our niche, the next crucial step involves creating the actual video content. For this task, we turn to InVideo, a powerful tool designed to facilitate video creation, leveraging the capabilities of AI to streamline the process.
Inputting Prompts and Adjusting Videos Length
Our journey begins with crafting a prompt that guides the AI in generating content aligned with our chosen theme. In this instance, we focus on relationship advice, echoing the successful videos analyzed previously. The initial prompt requests an 8-minute long video, using a male American voiceover for narration. This specificity in the prompt ensures the resulting video aligns closely with our vision and the expectations of our target audience.
Unexpectedly, the first iteration of the video is shorter than anticipated, clocking in at just 2 minutes. This hiccup illustrates a common challenge in AI-driven content creation: the need for adjustments and fine-tuning. We address this by requesting a longer video, showcasing the flexibility and adaptability of working with AI.
Enhancing Video Quality with AI Editing
The preliminary version of the video serves as a solid foundation, but further refinements are necessary to elevate its quality. Through AI editing, we make several enhancements:
- Lengthening the Video: By explicitly requesting an 8-minute duration, we aim to engage viewers for a longer period, increasing the potential for viewer retention and satisfaction.
- Improving Visuals and Audio: We adjust the video to include subtitles that highlight spoken words, ensuring accessibility and enhancing viewer engagement. Additionally, we encounter and correct issues with voiceover and subtitle visibility, opting for a female British voiceover and adjusting subtitle colors for better readability.
Customizing Subtitles and Voiceover
The iterative process of customization highlights the nuanced control creators have over the final product, even when working with AI. By specifying the color and style of subtitles and altering the voiceover, we tailor the video to match our audience’s preferences and expectations closely. These steps underscore the importance of detail in creating content that resonates with viewers.
Step 3: Manual Editing for Finishing Touches
Having laid a solid foundation with AI’s help, we now enter a crucial phase where human intuition and creativity come to the forefront: manual editing. This step is essential for infusing the video with a personal touch that AI alone cannot achieve, enhancing its appeal to viewers by making it more relatable and engaging.
Editing Stock Footage and Script for Personalization
Our first task in manual editing involves scrutinizing the selected stock footage. While AI does an admirable job of aligning video clips with our script’s narrative, it lacks the nuanced understanding of human emotions and relationships that can make a video truly resonate with its audience. By carefully selecting footage that better captures the emotional depth of our topics, such as the complexities of breakups and reconciliations, we can create a more compelling visual story.
Similarly, we refine the script to speak directly to the viewer’s experience, making subtle but powerful adjustments that shift the narrative from a general discussion to one that directly addresses the viewer. This approach, known as the “you” frame, fosters a more intimate and engaging viewer experience, increasing the video’s relatability and impact.
By selecting footage that vividly portrays the emotional highs and lows of relationships, and by adjusting the script to connect more deeply with the viewer’s personal experiences, we elevate the video from a simple informational piece to an engaging and emotionally resonant story.
Exporting the Video
With the manual edits complete, the next step is to export the video. This process involves selecting the appropriate quality settings and ensuring that the final product is polished and professional. For creators aiming for the highest quality, options such as exporting in 1080p and removing watermarks are available, though they may require a subscription plan.
The Importance of Attention to Detail
While AI provides a powerful tool for generating and editing content, the final touches that make a video truly stand out still rely on your judgment and aesthetic sensibilities. Through careful manual editing, we can ensure that our video delivers valuable information and connects with viewers on an emotional level, making it a memorable and impactful piece.
Step 4: Designing an Engaging Thumbnail
With the video exported, the next step is designing a thumbnail of our content and entice viewers to click. The thumbnail is the first impression viewers have of our video, making its design crucial for attracting attention in crowded YouTube videos.
For this task, we turn to Canva, a user-friendly graphic design tool. Our goal is to create a thumbnail that is both eye-catching and reflective of the video’s theme. By referencing popular thumbnails within our niche, we aim for a design that is simplistic yet compelling, ensuring it stands out among countless others on a YouTube feed.
The use of bold, readable fonts and a color scheme that contrasts well against YouTube’s background ensures that our thumbnail is easily discernible at a glance. Additionally, maintaining consistency with the channel’s existing thumbnails creates a cohesive look that helps in building brand recognition.
Step 5: Uploading the Video to YouTube
The final step in our content creation journey is uploading the video to YouTube. Using YouTube Studio, we meticulously fill out all the necessary information for our video, including a compelling title, a detailed description, and relevant tags. These metadata elements are crucial for SEO and can significantly impact the video’s discoverability. Additionally, we ensure that the video is properly categorized and that all monetization and copyright settings are configured according to our preferences.
The careful selection of tags, titles, and descriptions plays a pivotal role in how easily interested viewers can find our video. By optimizing these elements, we enhance our video’s visibility on YouTube, increasing the likelihood of it being recommended to potential viewers.
Analyzing Videos Performance after Month
After publishing the video on YouTube, the crucial phase of monitoring and analyzing its performance begins. This step is essential for understanding the video’s impact, audience engagement, and areas for improvement. After the post-upload, we closely examine key metrics such as view count, earnings (if monetization is enabled), and engagement indicators like likes, comments, and shares. Initial performance was slow, yet the video began to gain traction.
Analyzing the video’s performance over time allows us to identify patterns and opportunities for growth. For instance, if end screens and YouTube search are primary traffic sources, optimizing future content for search and strategically designing end screens could amplify reach and engagement. The principle of continuous improvement involves regularly reviewing content performance, experimenting with new ideas, and refining strategies based on data-driven insights.
I’m thrilled to share with you this method that’s effective and proven, capable of revolutionizing the way we approach content creation on YouTube with faceless, demonstrating a powerful strategy and you can use content types you’re interested in such as educational content, storytelling, how-to guides, or motivational speeches.
Embarking on this content creation journey requires patience, as success may not come overnight. Continuity is crucial; regularly producing content keeps your audience engaged and increases your visibility on the platform. Most importantly, infusing your personal touch of creativity makes your content stand out, transforming generic AI-generated videos into unique pieces that reflect your brand and resonate with viewers. Also, short videos have become a golden ticket to attracting subscribers and views swiftly. These bite-sized pieces of content are more likely to be consumed in their entirety and shared and can serve as entry points for new audiences to discover your channel. They’re an excellent addition to your content strategy.
As your content begins to gain traction, and especially when one of your videos “explodes” in popularity, you’ll find yourself well on the path to monetization. YouTube requires channels to meet specific conditions for monetization, including accumulating 4,000 watch hours over 12 months and reaching 1,000 subscribers. Once these milestones are achieved, and your content is monetized, earning over $500 per month becomes a tangible reality, with potential earnings only increasing as your channel grows.