AI-Generated Videos: 20 Innovative Tools for Crafting Memorable Visual Experiences

Apr 19, 2024 7:30:00 AM

If you haven’t heard about AI by now, we can only assume you’ve been living under a rock or just woken up from a coma. 

There’s no dearth of spirited discussion around AI, especially in our industry of video production.

But is it all marketing hype?

Or is there something to the hysteria around how it will decimate jobs and replace skilled workers?

It’s time to set the record straight and figure out what’s really going on. 

  1. The (R)evolution of AI-driven Video Production
  2. Understanding AI in Video Production
    1. AI for Scriptwriting
    2. AI for Image Generation
    3. AI for Video Production
    4. AI for SFX & Music
    5. AI for Voiceovers
    6. Other AI Tools
  3. AI-Generated Video Case Studies
    1. Fidoy Cosmos
    2. Procurement Partners
    3. Zenbrew Wellness
    4. Corridor AI
  4. Drawbacks of AI in Animated Explainer Video Production
    1. Limitations of AI in Animated Explainer Video Production Workflow
    2. Areas of Improvement in AI-Generated Videos
  5. What is The Future of AI in Animated Video Production?
    1. Sora by OpenAI
    2. AI Sound Effects by Eleven Labs
    3. ChatGPT 5 by OpenAI
    4. Lyria by Google Deepmind

The (R)evolution of Video Production with AI

AI has already started revolutionizing traditional workflows in all sorts of industries, offering a whole new level of efficiency at every stage.

ai in explainer video production

And it’s no exception when it comes to animated video production. 

Using AI, you can:

  • Generate pitches
  • Write scripts and screenplays
  • Generate concept art
  • Optimize graphic shots and composition
  • Streamline the animation process by generating images and basic animation
  • Create realistic and natural-sounding voiceovers from scratch

By integrating AI into the production workflow, creators can unlock unprecedented efficiencies, scalability, and creativity.

And this is already reshaping the future of animated video production.

That said, it’s not some magical perfect solution.

AI comes with a learning curve, and there are drawbacks you should be aware of before blindly leaping in with both feet.

So let’s explore this amazing new world– good and bad.

Understanding AI in Video Production

So how does it all work?

Let’s start by looking at the most popular AI tools and what they do.

AI for Scriptwriting 

Let’s start with where all ideas begin: with scriptwriting.

Here’s how you can use AI to write scripts for you– with the right prompts and instructions, of course.

To keep things practical, we’ll go down the list of the most popular AI tools at each stage of the process. 

1. ChatGPT

chatgpt ai tool

ChatGPT, developed by OpenAI, revolutionizes scriptwriting by using advanced natural language processing.

Operating on predictive text generation, ChatGPT analyzes prompts to generate coherent responses, accelerating scriptwriting and fueling creativity, making it the leading AI script generator. 

Pros of ChatGPT:

  • Speed and efficiency
  • Tailored suggestions
  • Creative inspiration
  • Iterative improvement

Cons of ChatGPT:

  • Lack of human nuance
  • High dependency on training data
  • Risk of overreliance
  • Limited contextual understanding

AI for Image Generation

The next stage is AI image generation. 

2. Midjourney

midjourney ai tool

Midjourney, accessible on the Discord chat platform, has gained prominence in the creative industry for its endless versatility and is a go-to platform for artists and designers seeking inspiration and creative expression.

It’s fairly simple to use, and you can generate rough sketches for ideations, illustrations in any style, and photo-realistic images of anyone and anywhere - within seconds. 

Pros of Midjourney:

  • Unparalleled creative freedom
  • Versatility 
  • Inspiring environment
  • Cutting-edge technology

Cons of Midjourney:

  • High learning curve 
  • Complexity
  • Variable output quality
  • Potential for technical issues

3. Dall-E

dall-e ai tool

DALL-E, also developed by OpenAI, can produce a wide range of images, spanning from everyday objects to fantastical creatures and surreal landscapes. 

Pros of Dall-E:

  • Remarkable image generation
  • Versatile range
  • Creative inspiration
  • Seamless integration

Cons of Dall-E:

  • Dependency on textual descriptions
  • Limited control
  • Potential biases

4. RunwayML

runwayml ai tool

RunwayML stands at the forefront of AI and creative expression convergence, offering over 30 tools and models spanning image generation, style transfer, object detection, and motion tracking. 

Pros of RunwayML:

  • Versatile toolset 
  • Style
  • Accessibility 
  • Community support

Cons of RunwayML:

  • Inconsistent quality
  • Limited control
  • Grasp on Style


leonardo,ai image generation ai tool lets users generate multiple high-resolution images through text prompts.

It boasts real-time editing and customization, 3D texture generation, and motion asset production, and has the ability to train custom image models.

6. DreamStudio

dreamstudio ai tool

DreamStudio AI, developed by Stable Diffusion, offers seamless image creation from text prompts.

With advanced features such as CLIP Guidance and Image-To-Image, it caters to diverse applications, from artwork creation to business visuals and educational materials. It also features affordable pricing plans.

AI for Video Generation

Now let’s look into the transformative power of artificial intelligence in reshaping the future of video production and storytelling.

7. RunwayML Gen-2

runwayml gen-2 ai tool

As covered earlier, RunwayML offers a range of tools, including the "TI" tool for generating images.

For video generation, there are two tools: "Gen 1" and "Gen 2".

While Gen-1 transforms existing videos using textual instructions, Gen-2 users can generate videos not only with image references but also text prompts, making it a powerful tool for video generation. 

How to Use RunwayML

Users can input descriptive text prompts and specify key elements such as characters, scenes, and actions.

Gen-2 dynamically interprets these prompts to generate video content.

You can also experiment with different text inputs to explore various narrative possibilities and visual styles, enabling greater customization and refinement.

Here's an example of a video we created using RunwayML:

runwayml ai video example

Pros of RunwayML:

  • Creative enhancement
  • Efficiency and time savings
  • Accessible for novices
  • Fine-tuning parameters 

Cons of RunwayML:

  • Steep learning curve
  • Ownership and privacy concerns
  • Content authenticity

8. ai tool has emerged as a prominent player in the video generation platform arena, disrupting the industry with its innovative approach.

Similar to RunwayML, users can input a text prompt alongside an image or video reference to generate customized videos.

However, unlike RunwayML's diverse toolset, concentrates solely on video generation, offering a focused solution to creators. 

How to Use allows you to create video using distinct categories of tools, including Text-to-video, Image-to-video, and Video-to-video through text inputs.'s intuitive interface and focused feature set streamline the animation process, empowering creators to bring their ideas to life with clarity and impact. 

Here's a video created using ai video example

Pros of

  • Simplified user interface
  • Promising potential
  • Text-to-video capabilities
  • Image-to-video and video-to-video options

Cons of

  • Limited refinement
  • Narrow focus
  • Stability and reliability

9. Synthesia

synethsia video generation ai tool

Powered by generative AI technology, Synthesia facilitates the creation of avatars capable of speaking in multiple languages and accents, thereby enabling effortless localization of content.

With convincingly human gestures and facial expressions, these avatars find applications across various domains, including training materials, promotional content, educational videos and explainer videos. 

10. Descript

descript video generation ai tool

Descript caters to a diverse user base spanning from social media content creators to corporate and educational sectors.

Users initiate the video creation process with a script, incorporating AI-enhanced footage and text-generated audio seamlessly.

Its user-friendly interface enhances editing efficiency through intuitive features such as text-driven timeline adjustments.

AI for SFX & Music

Of course, no video is complete without a good soundtrack, sound effects (SFX) and voiceovers.

And there’s a range of AI SFX generators and AI music generators to choose from. 

11. AudioGen

audiogen music ai tool

By using text prompts, AudioGen empowers users to effortlessly create, explore, and organize a diverse array of music and sound effects.

Pros of AudioGen:

  • Ease of use
  • Diverse sound library
  • Customization options
  • Efficiency

Cons of AudioGen:

  • Lack of precision
  • Limited human touch
  • Dependency on AI 
  • Quality Variability

12. MusicGen

musicgen music ai tool

MusicGen, developed by Meta and accessible via HuggingFace, is primarily geared towards experimentation and research, compared to the more polished AudioGen.

Despite its experimental nature, MusicGen benefits from Meta's robust R&D support, yielding compelling results.

AI for Voiceovers 

While you’re busy exploring this new world of AI generated content, don’t forget the importance of a good voiceover / narration!

And yes, this is yet another area where AI generation is emerging. 

Let’s look at the best tools available out there.

13. ElevenLabs

elevenlabs voiceover ai tool

ElevenLabs leads the field in natural-sounding speech synthesis and text-to-speech tools driven by AI.

Through its Speech Synthesis tool, the platform dynamically adjusts intonation and pacing based on contextual language input, enabling the detection and expression of emotions.

Pros of ElevenLabs:

  • Natural sounding voices
  • Easy-to-use customization tools
  • Speech synthesis for long-form content

Cons of ElevenLabs:

  • Lack of Pause, Pronunciation, and Emphasis Features
  • Inability to edit specific phrases
  • Implications of AI-generated voiceover
  • Authenticity

14. voiceover ai tool presents an advanced AI-driven voice generation platform, boasting a diverse library of over 907 AI voices meticulously crafted to offer lifelike Text-to-Speech conversions effortlessly.

The platform also features easy downloading of generated audio files in popular formats like MP3 and WAV.

15. Murf AI

murf ai voiceover ai tool

Murf AI emerges as a robust AI voice generation solution harnessing generative AI and machine learning to deliver authentic voiceovers for diverse projects.

Boasting a repertoire of over 120 human-like voices across 20 languages, users can effortlessly find the ideal voice for their projects. Murf AI also comes with millions of stock music, image, and video assets.

Other AI Tools

16. MiDaS

MiDaS stands as an innovative AI tool designed to generate 3D depth maps from user-submitted images.

These 3D depth maps can seamlessly integrate into animation software like Adobe After Effects, enriching still images with depth and enabling captivating animations.

17. D-iD AI

d-id ai tool

D-iD AI offers a comprehensive suite of AI-powered tools tailored to transforming scripts into engaging videos.

Among its impressive array of features, one standout tool is the ability to transform any portrait photo into a talking avatar.

18. Adobe Generative Fill

adobe generative fill ai tool

Adobe, a stalwart in the industry renowned for software like Illustrator and Photoshop, has also embraced the potential of AI with the introduction of the 'Generative Fill' feature.

19. DraGAN

DraGAN, short for Drag Your GAN, represents a cutting-edge AI tool engineered for enhanced flexibility, precision, and generality in visual content synthesis.

20. Kaiber

kaiber ai tool

Kaiber emerges as a powerful AI-driven video generation tool empowering users to transform their ideas into captivating visual narratives.

With Kaiber, users can breathe life into their concepts by generating stunning videos from their own images or textual descriptions.

AI-Generated Video Case Studies

Now that we've explored various types of A.I. tools utilized in the pre-production and production workflow of crafting animated explainer videos, let's delve into some of the creations below.

1. Fidoy Cosmos

This is our short film crafted using AI tools called “The Cosmos.”

It’s featured on our Fidoy channel, where we curate and share our own in-house short films. (Feel free to explore our channel!)

Check out this video here:


Here's the workflow employed in crafting the film:

  • Script: ChatGPT.
  • Storyboard & Graphics: DALL-E.
  • Voiceover: ElevenLabs.
  • Music: AudioGen.
  • Animation: RunwayML.
  • Compositing: An animator composited all animated sequences, voiceover, and music using After Effects.

The entire workflow described above was completed within a mere 2 days.

2. Procurement Partners

Now, let's delve into explainer videos.

First, let's explore a full infographic video with minimal characters.

Let’s watch the video below. 


The following steps were involved in crafting this film:

  • Script: ChatGPT.
  • Storyboard & Graphics: MidJourney and DALL-E were used to create the visual elements. However, since the generated images were in PNG format, a designer was tasked with arranging them in layers, and preparing them for animation.
  • Voiceover: ElevenLabs.
  • Music: AudioJungle.
  • Animation: The final animation was crafted by an animator.

The duration of the film is 60 seconds.

In a conventional workflow, it would have taken approximately 20-25 days to complete the video.

However, leveraging AI tools, the video was produced in just 9 days.

Despite encountering challenges that necessitated human intervention, the time saved proved to be significant.

3. ZenBrew Wellness

Here’s a mixed-media video featuring lifelike footage and line art animation.

Take a moment to watch the video below.


The following steps were involved in crafting this film:

  • Script: ChatGPT.
  • Storyboard, Graphics & Footage: MidJourney was used to generate foliage graphics and some lifelike photographs. RunwayML was employed to generate stock footage and animate the photographs created in MidJourney.
  • Voiceover: ElevenLabs.
  • Music: Purchased tracks from AudioJungle.
  • Animation: The animation process entailed animating the line art and compositing the footage together, which was performed by an animator.

For a video of this nature, a traditional workflow would have demanded approximately 20-25 days.

However, leveraging AI technology, the film was completed in just 7 days.

4. Corridor AI

Lastly, let's examine a character-heavy explainer video.

Take a look at the video below. 


Here's a breakdown of the workflow: 

  • Script: ChatGPT.
  • Storyboard & Graphics: MidJourney was used for the visualization and shots. Then, a designer prepared the files for animation.
  • Voiceover: ElevenLabs.
  • Music: Purchased from AudioJungle.
  • Animation: Final animation was carried out by an animator.

In a traditional workflow, this film would have required approximately 20-25 days to complete.

However, through the AI-powered workflow, the film was finalized in just 8 days.

Drawbacks of AI in Animated Explainer Video Production

Let's examine some drawbacks and potential enhancements in the integration of artificial intelligence (AI) within the realm of animated explainer video production.

1. Limitations of AI in Animated Explainer Video Production Workflow

Despite its transformative impact, the A.I. workflow in animated explainer video production faces several limitations.

A significant drawback lies in the reliance on predefined algorithms and datasets, which can constrain creativity and flexibility.

AI tools often demand specific inputs and parameters, restricting the range of generated content.

Additionally, mastering AI-powered software involves a steep learning curve, necessitating time and resources for training and implementation. 

2. Areas of Improvement in AI-Generated Videos

Ongoing research and innovation in AI technology holds promise for addressing current constraints.

Moreover, fostering collaboration between AI developers, animators, and designers can yield hybrid workflows amalgamating AI strengths with human creativity, resulting in more compelling and impactful animated explainer videos.

What is The Future of AI in Animated Video Production?

Let's explore what lies ahead in the realm of AI-driven innovation and its implications for the future of animated video production.

Currently in the works are tools that continue to push the boundaries of what AI can achieve in animated video production. 

1. Sora by OpenAI

Harnessing the power of Dall-E and ChatGPT engines, Sora is the latest text-to-video model from OpenAI, which signifies a remarkable advancement in the field.

Compared to previous AI text-to-video platforms, Sora sets a new standard with its unparalleled quality results. 

2. AI Sound Effects by ElevenLabs

The rumored platform AI Sound Effects by ElevenLabs can mark a significant milestone in the realm of audio production.

While AI tools for music and sound effects have been scarce, ElevenLabs’ latest offering promises to revolutionize the industry. 

3. ChatGPT 5 by OpenAI

Following the success of ChatGPT 3.5 and ChatGPT 4, OpenAI is preparing to unveil ChatGPT 5, the next generation of conversational AI.

The upcoming ChatGPT 5 is poised to further redefine human-AI interaction, offering enhanced features and functionalities. 

4. Lyria by Google DeepMind

Lyria, Google DeepMind's cutting-edge AI music generation model, represents a significant advancement in music composition.

Designed to produce high-quality music compositions across diverse genres, Lyria offers unparalleled control over style and performance. 

In Conclusion: The Way Forward

When considering the advancements and challenges discussed regarding AI tools in animated video production, it becomes evident that the future of the creative industry is poised for dynamic growth and innovation.

But despite the remarkable strides made in streamlining workflows and enhancing production efficiency, critical challenges such as maintaining creative control, addressing ethical considerations, and preserving the human touch in artistic expression remain paramount.

By leveraging AI as a catalyst for innovation and expansion rather than a substitute for human ingenuity, the industry can unlock new avenues of storytelling, broaden creative horizons, and captivate audiences in unprecedented ways. 

Ultimately, the future holds immense potential to redefine the art form, empower creators, and enrich the viewer experience in profound and transformative ways, ushering in a new era of animated video production that blends the best of human and artificial intelligence.

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