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Existing and emerging text-to-video AI tools are making it easier than ever to create video content. And they’re only getting better. Here’s a look at the types of AI tools that exist now and what’s coming soon, the leading players, and the benefits of text-to-video generators.

 

What is text-to-video AI software?

A few years ago, software advertising itself as “AI-powered” and capable of transforming text to video entered the market, promising faster and easier outputs. These offerings generally fall into two categories:

The first are video makers that match keywords in a text prompt you provide to a random assortment of stock photos, music, and video clips that are tagged with similar keywords. The result: videos–usually geared for social media—that can feel stylistically inconsistent and generic.

The second are platforms that allow you to create videos narrated by a selection of human-like avatars that will say whatever text you provide. The result: “talking head” content that, despite advances in the technology, still comes off as stiff and less than genuine.

However, as of 2023, a new, far more powerful category of AI video creation tools is emerging. Unlike keyword matchers and avatar creators, this software is powered by generative AI (think ChatGPT and DALL-E 2) that has the potential to help companies create high-quality video content that’s both original and easily edited.

Let’s take a look at how these exciting AI-powered text-to-video makers work; which are available now and which are coming soon; and how they promise to change the way you make professional-grade videos.

 3 types of text to video ai tools 

 

Learn more about AI powered video

 

Leading AI text-to-video generators

Emerging text-to-video AI tools are being developed by both well-regarded brands adding generative AI functionality to their platforms and new companies working to bring their first product to market. Here are some of the main players. 

Vyond Go 

Even before the launch of Vyond Go in June 2023, Vyond’s animated video creation software was loaded with AI-powered features like Instant Video Translation, Photo to Character, Visual Content Search, and Speech Enhancement that help users automate time-consuming tasks and create content more quickly.

 

 

With the release of Vyond Go, the company became the first in the video creation industry to offer an AI-based script and video creator, capable of creating a script and high quality, editable video content, based on a text prompt, within seconds.

Once a first draft has populated, users can quickly polish the video within Vyond Go using a simple text-based editor, or take it into Vyond Studio for fine-tuning.

 

How Vyond Go Works


1. Enter a prompt or drop in content you want it to respond to.

Vyond Go creates video scripts with the help of ChatGPT, which is integrated with the platform. ChatGPT draws upon its vast Internet-based learning model to generate a script based on your prompt. 

Or, if you include a sample of information in your prompt you want it to incorporate, it will generate content based primarily on that sample. 

 

 A screenshot of Vyond Go. Enter a text prompt and generate a video 

 

Learn more about ChatGPT video scripting from Vyond’s CEO

 

2. Choose the vibe, format, and location you want for your video

The Vyond Go platform allows you to choose from a multitude of locations (like Home, Abstract Background, Open Office), vibes (like formal, informative, casual, or playful), formats (like announcements, rants, and overviews), and layouts (like conversation or talking head). 

 

 Vyond Go screenshot showcasing the options to  Choose the vibe, format, and location you want for your video 

 

3. Edit the video with Quick Edit—or refine it in Vyond Studio

After typing in your prompt and making your other selections, Vyond Go delivers a script and a starter video in seconds. You can then adjust text and voice-over content within Vyond Go. Or by clicking on the edit icon, you can fine-tune it within Vyond’s standard video creation platform, Vyond Studio–for example, swapping out characters, changing backgrounds, and instantly translating the video into 70+ languages.

 

 A screenshot of a Vyond Go AI video 

 

Pros:

  • Vyond Go is the only product like this on the market, and it’s available as of June 28, 2023. 
  • The script and video output created with a text prompt is editable and in a unified style
  • All the AI tech exists right in the Vyond platform; there’s no need to use multiple tools to generate or edit content

 

Cons: 

  • Vyond Go doesn’t yet have the ability to generate brand-new animated content based on a text prompt–but that functionality is coming soon
  • Thus far, you can use Vyond Go to create content in Vyond’s Business-friendly style, but not their Contemporary or Whiteboard styles

Watch Vyond Go’s Launch Webinar

 

Adobe Firefly

For more than five years, Adobe has been integrating Artificial Intelligence (AI) and Machine Learning (ML) technology across its platform to automate tasks and boost creativity–technology they call Adobe Sensei. 

In April 2023, Adobe entered the generative AI market with the launch of the beta version of Adobe Firefly, its new suite of creative generative AI models. As of June 2023, their offerings include the ability to generate original images, color variations, and other visual effects with a text prompt—elements producers can use to create videos. But soon Adobe hopes to also offer video producers the ability to make edits to already-recorded video, like changing color schemes, time of day, and even the seasons with a simple text prompt.

 

Pros: 

  • Like Vyond, Adobe Firefly offers a variety of AI and generative AI functionality all in a single, already popular content creation and editing platform.

 

Cons: 

  • Though the goal of Firefly is to make design projects simpler, Adobe products are still targeted towards designers. So non-designers may still face a learning curve. 

 

Text-to-video AI tech still in R&D

A handful of tech companies are developing models that will soon make it possible for companies to create high-resolution video clips of scenes based on text prompts. While they’ve not yet brought a product to market as of June 2023, the research papers and sneak peeks they’re providing online make clear the huge potential for this technology. 

Nvidia, a longtime leader in AI computing, is sharing its research on generating high-resolution video clips with latent diffusion models. Their website features samples of short, funny video clips they’ve been able to generate from text prompts, including ones of a polar bear playing a bass, a lion surfing, and a koala playing the piano.

Meta is previewing their Make-a-Video tool, which aims to create short video clips from both text-based prompts and static image prompts. 

Newcomers like Runway.ml and Opus.ai are also sharing their research, and providing glimpses into what may be available in the near future. 

 

Pros: 

  • Once this class of text-to-video AI technology is more refined and user-friendly, it will be possible to create high-quality video content more easily than ever before. 

 

Cons: 

  • None of these companies are yet offering a viable product. 
  • Most of the video clips these tools can create thus far are very short, lower-resolution GIF-length clips. As is, these outputs aren’t likely to be useful to companies looking for video content that fits their brand style. 

 

Business reasons for using generative AI text-to-video tools

Faster video production 

Generative AI text-to-video makers make it possible to create business-friendly, first-draft video content faster than ever before. Specifically:  

  • L&D teams tasked with creating a high volume of training video content can turn around requests in less than half the time they’re used to
  • HR teams can use text-to-video tools to ensure they’re communicating effectively about policies or business changes in a timely manner
  • Sales departments can use generative AI text-to-video tools to keep up with the demand for creating highly personalized, tailored versions of general sales video content to share with prospects 
  • Marketing teams can use generative AI text-to-video tools to respond immediately to urgent news or trends with right-time, right-place video content 

Cheaper, more accessible video production 

With these text-to-video AI tools in place, companies will be able to dramatically reduce their reliance on expensive video production vendors, and make it possible for anyone who has a good idea to create engaging video content, not just the design and video production teams on staff. 

More imaginative content 

Very soon, this technology will make it possible for an infinite number of creative ideas to be realized in seconds, simply by typing in a text prompt. 

 

 A list of 3 reasons why use text to video ai tools at work 

 

The future of text-to-video AI tools for business

This cutting-edge tech category is undeniably exciting. But what will ultimately determine the commercial success of these text-to-video AI tools is their ability to create business-friendly content that’s relevant, editable, and brand-compliant. 

As of June 2023, only a few companies have brought such a product to market. But in the months and years to come, as the technology evolves and improves and the market provides feedback about its needs, more is sure to follow. 

And video creation as we know it will never be the same. 

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