Using AI to start a youtube channel? | AI youtube channel

In this paragraph, the speaker introduces the video, explaining that it will cover how to create a successful YouTube channel using AI tools. They outline that the video will also provide tips on consistently creating videos and monetizing them. The first step involves finding a niche using GPT to generate 100 ideas and determining if the chosen niche is sustainable in terms of content creation. The speaker selects storytelling as their niche and discusses the potential for sponsored videos in the future. They also mention setting up the channel and using AI for channel name suggestions, with an option to use Google Bard as an alternative.

This paragraph describes the process of setting up the visual branding for the YouTube channel. The speaker uses Stable Diffusion, an AI app, to generate a mysterious face for the profile picture. They suggest regenerating the image until something appealing is found. For the banner, the speaker uses Pickmaker (an alternative to Canva) and describes how to create a YouTube banner using a template and AI-powered design features. Finally, the speaker uses GPT to write a concise bio for the channel, completing the branding setup.

The speaker discusses how they generate ideas for videos using GPT, focusing on horror story one-liners. After selecting the fifth idea, GPT is used to create a video script in narration format, which eliminates the need for showing a face or recording videos. The script also helps in generating descriptions for visuals that can be later used to create AI-generated images. The speaker decides to shorten the script to fit a one-minute video format.

Here, the speaker explains how to create voiceovers for the video using Animaker, an AI tool. The speaker demonstrates the process by copying the script into Animaker and selecting the gender, language (US English), and voice type. They preview the voice and explain that further adjustments can be made, such as controlling speed, pitch, and volume, or adding breathing effects to make the voice sound more natural. After finalizing the voiceover, the audio is downloaded.

This paragraph covers how the speaker generates visuals for the video using Stable Diffusion based on descriptions from the GPT-generated script. The images are stored in a separate folder for later use during the video editing process. The speaker generates additional images for the rest of the script using the same method.

The speaker explains the video editing process using Animaker. They describe the Animaker dashboard, the workspace for creating the video, and the timeline for arranging voiceovers and visuals. The speaker uploads the voiceover and adjusts its duration on the timeline. They also add stock videos from free resources available in Animaker, matching them to the voiceover. Additionally, they use AI-generated images, editing their duration and adding effects like zoom.

In this part, the speaker finishes the video by adding a music track from Animaker's library. They preview the track, add it to the timeline, and reduce its volume to avoid overpowering the voiceover. Afterward, the speaker previews the entire project, renders the video, and explains how to manage and download the finished video from the Animaker dashboard.

The speaker discusses adding subtitles to the video using Animaker's auto-subtitle feature. Subtitles are automatically generated, and the speaker customizes them by editing font size, style, and positioning. The process is demonstrated using a sample line from the video, and the final edited subtitles are applied to the entire video.

In this concluding paragraph, the speaker explains how to upload the finished video to YouTube, using a title generated by GPT. They successfully publish the video and share links to all the AI tools used throughout the process in the video description. The speaker encourages viewers to start their YouTube journey and invites them to like and subscribe if they found the content useful.