I've found that using Claude to assist me in video scripting has been helpful. I talk about movies, so I'm able to give Claude my rough thoughts on a film, and it helps me organize those thoughts into a cohesive and clear YouTube video script.
I use Adobe Premiere Pro for cutting up my social media videos and then utilize Opus Clip for picking key points and transcribing these snippets into short, “snackable” content. Opus Clip's AI assesses the larger video, cuts up and transcribes the new content, and even suggests improvements. This significantly expedites my content creation process, especially for picking out the right moments from a lengthy video. One of the most useful features of Opus Clip is its ability to transcribe videos and include the transcription on the video itself. This ensures my content is accessible, even without sound. This transcription feature is more efficient than manually transcribing in Premiere Pro. The main drawback is the time it takes for Opus Clip to process edits and provide revised results, which can range from 3 to 15 minutes. This can be time-consuming, especially with multiple rounds of edits. I experiment with various platforms, including Instagram Reels, TikToks, and YouTube Shorts, to see how content performs on each. For instance, industry-related short-form content may perform better on LinkedIn than Instagram Reels, but it's important to include these videos across platforms to expand reach and capture new audiences. AI tools like Opus Clip are continuously learning, so providing feedback on how the results align with your content goals is crucial. I approach each use with an open mind, as sometimes unexpected results can be surprisingly effective.
One crucial application of AI in our workflow is through automated transcription and captioning services. This not only enhances accessibility, making our videos more inclusive, but also boosts SEO for our content on YouTube. By utilizing AI to generate accurate subtitles quickly, we can focus more on content creation rather than the nuances of transcription, which can be quite time-consuming. Plus, this AI integration ensures that our videos are more likely to be discovered and understood globally, regardless of the viewer's hearing ability or language proficiency. We've had great success with TubeBuddy, a browser extension that uses AI to provide advanced analytics and automation for YouTube video optimization. TubeBuddy helps with keyword research, tag optimization, and best time to post, which are critical for improving video reach and engagement. Its end-screen and card templates automate much of the process, saving us considerable time in post-production and ensuring our videos are set up to maximize viewer actions.
AI tools slowly began to ramp up years ago in the form of software features. Adobe began to experiment with language transcription over ten years ago, before AI was much of a thing. Also at that time, any decent audio engineer could wield an FX chain. And though these are very different categories of post-production, today they've turned into very advanced tools under the same AI umbrella. What makes us think of them as AI tools today is not some generative aspect to their programming, but the mere fact that they place the advanced work of professionals in the hands of the less experienced. Anyone on the team now can hop on Premiere or Descript and work wonders with an interview. And still we are only at the front of AI's transformative bell curve. It may completely obviate our production of stock footage in less than a year.
AI-driven transcription and translation services have been game-changers in our workflow, enabling us to reach a global audience more effectively. Services like Google’s Speech-to-Text API help us generate accurate subtitles and closed captions for our videos, which not only makes our content more accessible but also improves SEO on YouTube. Furthermore, we use AI translation to offer multiple language options, expanding our reach and viewer base across different geographical locations. For optimizing our videos for better search engine visibility and engagement, we rely heavily on Ahrefs’ Keywords Explorer. This tool provides us with detailed insights into which keywords are most effective for our video SEO strategy. By integrating these keywords into our video titles, descriptions, and tags, we have seen a notable increase in our videos' visibility and engagement.
Here's a breakdown of how to leverage Gemini AI for crafting compelling video scripts: Step 1: Conquering the Blank Page with Gemini Why Gemini? Google boasts the world's largest search engine, giving Gemini access to a vast ocean of information. This translates into scripts that are not only accurate but also engaging. Plus, Gemini excels at human-like language, making your narration sound natural and relatable. Step 2: Defining Your Audience Before diving in, tell Gemini about your target market: Who are you trying to reach? What are their biggest struggles (pain points)? How does your product or service alleviate those struggles? Step 3: Script Magic with Gemini Prompt with Precision: Gemini thrives on specific instructions. Here's an example prompt: I offer a time-saving accounting software for busy entrepreneurs. Write me two video scripts (under 1 minute each) for social media explaining how my software simplifies expense tracking and boosts productivity. Step 4: Choose Your Champion Gemini will generate multiple script options. Analyze each and pick the one that best resonates with your vision. Step 5: Production Powerhouse Once you have your script, head to a studio or hire a production agency to bring it to life. Step 6: Post-Production Polish (Optional) Editing tools like Veed.io, Adobe Premiere Pro, or CapCut can elevate your video. If editing isn't your forte, consider hiring freelancers on platforms like Fiverr or Upwork. However, be mindful – quality varies. Research portfolios thoroughly to avoid rework. Step 7: AI-powered Marketing Magic Don't forget to promote your masterpiece! Use AI tools to create compelling ad copy or meta descriptions for your video. Pro Tip: After AI generates the initial draft, add your human touch to ensure the message is clear, memorable, and aligns with your brand voice.
AI is terrible at script writing. But I've found it's really handy in two specific areas: connecting the dots between two points and generating new topics. I work in B2B shortform video content for LinkedIn. Sometimes I get stuck on how to connect two or more points. I'll input my ideas into ChatGPT and it will often do a great job of making the connection for me. This saves me from wasting lots of times trying to make the connection myself. It's also really handy for topic ideation, especially for our clients. I'll input the context of the client's industry, their specialty, and notes from their strategy call. I'll then ask ChatGPT to create a set of questions for the purpose of drawing out their expertise. It does a great job of this. But the big AI tool I'm excited about the most? When Sora gets a public release. It will save tons of time in b-roll sourcing for our clients' thought leadership videos.
I'm working on a video about how to change a water pump in an Airstream for my YouTube channel @GenXGlampingGuy and experimented with using AI to create background music. Here's my workflow: 1. Write lyrics and come up with rough idea of the sound I want. 2. Inspired by John Lee Hooker's version of one scotch, one bourbon, one beer, I went to ChatGPT to uncover a description of the song's tone, melody and arrangement: 1. Prompt: describe the tone, melody and arrangement for one scotch one bourbon one beer 3. I used the results from ChatGPT and went to Google's Music FX. First, I entered the exact description from Chat GPT to compose a song. After listening to it I chose to make slight edits to the description to give the song a more upbeat tone: -From an original tone of the song is laid-back yet melancholic, reflecting the themes of loneliness and seeking solace in alcohol. -To the tone of the song is upbeat yet hopeful, reflecting the themes of excitement and seeking solace in juice. 5. I exported track and uploaded it to Flixier for editing 6. I recorded lyrics using iPhone voice recorder and imported to Flixier 7. I made light edits and created a duplicate of my voice with a few beat delay to give the audio a reverberation. 8. I should probably apply a vocal tuner to enhance my voice but for now, will use the more raw version of the new track titled: Two Valves, Four Screws, Two Wires. I'm wrapping up edits for the video and happy to share the content and more detail upon request. Tim
I use AI in my workflow all the time! Sometimes I use it to help me write catchy titles, other times I use it to rewrite my descriptions so they are SEO-friendly.
CEO at Digital Web Solutions
Answered 2 years ago
One of my favorite tools is TubeBuddy, which uses AI to optimize video titles, tags, and descriptions. It helps me find the best keywords, boosts my videos' visibility, and saves me countless hours of SEO guesswork. Another game-changer is Lumen5, an AI-powered video creation platform. By simply inputting my script, it auto-generates engaging visuals and transitions, making my editing process much faster and my videos more dynamic. I also use AI for analytics. VidIQ offers insights into viewer behavior and engagement, guiding my content strategy. It suggests when to post and what topics are trending, ensuring my videos hit the mark every time. These AI tools have not only streamlined my workflow but also elevated the quality of my content, allowing me to focus more on creativity and less on the technical aspects.
Creating a truly great video starts with the planning and preparation, and it's here that we have really used AI to improve our production process. Traditionally, we would storyboard videos with hand drawn sketches that provided a basic framework for each video but still left a lot open to interpretation. However, today we use a powerful combination of generative AI tools such as Midjourney, Luma Dream Lab, Runway and Eleven Labs to supercharge the pre-production process. Using Midjourney, we can quickly create a number of detailed storyboard frames that also can be propped to provide the correct visual aesthetic too. With the addition of text-to-video from Luma and Runway, we can augment these storyboards with actual pieces of video that demonstrate desired shots in more detail. Finally, we pull all this media together with an AI voiceover from Eleven Labs to create a time and shot perfect rendition of the final film. This means that our team is fully prepared and aligned on the shots, the shot types and even the length of shots down to the second. This leaves very little margin for error, or second guessing what content is needed for the final production.
Creating engaging YouTube content became significantly easier when I started using AI tools. My go-to is Adobe Premiere Pro's AI features, which streamline editing. The Auto Reframe tool automatically adjusts the aspect ratio for different platforms, saving me hours of manual editing. This feature ensures my videos look professional, no matter where they are viewed. I also rely on AI for content planning. Jasper, an AI content generator, helps me brainstorm ideas and write scripts faster. It’s like having a creative partner who is always ready with fresh, engaging concepts. With these AI tools, I’ve increased my video output without compromising on quality, making my channel more consistent and engaging for my audience.
As CEO of Datics AI, a software development company, I use AI in various ways to optimize our video content. Tools like vidIQ provide insights into video performance and recommend improvements to increase views and engagement. For example, vidIQ suggested tweaking a video thumbnail by enlarging the text and centering the focal point which increased the CTR 32%. AI-based keyword research tools uncover popular search terms so we can optimize videos to rank higher in search. We've experimented with AI for automated video editing. Tools like Animoto and Biteable quickly edit stock footage, images, text and music into social videos. The quality isn't as high as custom editing but works for quick social content. AI won't replace creators soon but combines with humans is powerful. At Tech Nation, my initiative focused on youth empowerment, we used AI to analyze 100s of tech skills and determine demand to provide the relevant programming. We've used AI to teach high-demand tech skills to hundreds of students and helped many land jobs, start businesses or continue their education.
As the founder of Nesta Systems, I use AI to optimize and scale our video marketing efforts. Tools like vidIQ provide insights into the perfirmance of our videos and suggest improvements to increase views and engagement. For example, vidIQ recommended enlarging text and centering the focal point in a thumbnail which boosted click-through rates by 32%. AI-powered keyword research uncovers popular search terms so we can optimize videos to rank higher. Though AI can't replace human creators yet, combined they're powerful. At my youth empowerment initiative, we analyzed skills in demand and provided relevant programming. We've used AI to teach tech skills to hundreds of students, helping many find jobs, start businesses or continue education. For quick social videos, we've experimented with AI for automated editing using tools like Animoto and Biteable. Quality isn't as high as custom editing but works for short-form content. AI helps us gain valuable data to improve content and target users efficiently. By optimizing for search and social, our video content reaches more potential customers, building brand awareness and driving business growth.
As an AI-focused digital marketing agency, I rely heavily on automation to improve video creation. Sirge, one of our AI tools, analyzes customer data and provides video topic suggestions based on interests and engagement. For a client targeting young families, Sirge recommended a video on saving for college. It performed over 300% better than our average video. For editing and production, I use Descript which automatically transcribes and edits raw footage into a finished video. I record myself speaking for 10-15 minutes, and Descript creates a polished 2-3 minute video, saving hours of editing time. The end results look professionally produced, allowing me to scale video creation. These AI tools have streamlined our video workflow, improving quality and quantity. Since implementing them, video views have jumped over 200% and several clients have moved to long-term retainers. The future of video is AI-powered, and creators who leverage automation will gain a significant competitive advantage. AI allows us to focus on strategy instead of tedious tasks, connecting with more viewers and building stronger client relationships.
I use Keyword Chef to enhance my video SEO strategy by finding low-competition, high-potential keywords. It’s perfect for identifying long-tail keywords that are easier to rank for, thanks to its Google autocomplete scraping and SERP checker features. This tool helps me target specific keywords with real search intent, allowing my videos to reach a broader audience more effectively.
Hi I record my video, a reaction video, then I use glasp to extract my commentary and all the audio and conversation from the video I just made. Glasp then turns it into a blog post and within 5 minutes I have a well written blog post on my website about the video I just watched. https://letsgobrandongreen.com
There are various ways in which YouTubers and video creators are utilising AI. One of the most common instances is content creation. Video creators have started using AI for ideating, creating, editing, reviewing as well as publishing, thereby enhancing their productivity and optimising their workflow. Also they utilise AI for repurposing old content on a wide scale which in turn helps in enhancing the content’s value. Another major instance is data analysis as most prominent video creators utilise AI to analyse vast amounts of data and then determine insights about the customers base for better video creation. Overall utilising AI in video creation does help in optimising the workflow as well as in saving time and money.
I believe AI has been a tremendous asset for YouTube and video creators. In my experience, tools like Adobe Premiere Pro’s AI features and Descript have streamlined my editing process significantly. Descript’s transcription and text-based editing allow for quick adjustments and script tweaks, making the process more efficient. I also use TubeBuddy and VidIQ, which utilize AI to optimize video titles, descriptions, and tags, ensuring better reach and engagement. For creating thumbnails, Canva’s AI-powered design suggestions have been incredibly helpful in crafting eye-catching visuals. Additionally, using AI-driven analytics tools helps me understand audience behavior and adjust my content strategy accordingly. Leveraging these AI tools has allowed me to produce more videos and improve their overall quality.
AI plays a big role in my YouTube workflow. I use AI tools for video editing, which helps speed up the process by automatically cutting out silences and enhancing video quality. AI-driven analytics tools help me understand viewer behavior and optimize my content for better engagement. I use AI to generate keyword suggestions and optimize video titles and descriptions for SEO, making my content more discoverable. These tools help me create better videos faster and reach a larger audience, making my YouTube channel more successful.