Convert Text-to-Video with AI

We have all seen the amazing images AI can generate with a simple text input. We also know how useful tools like ChatGPT can be. We have almost become reliant on it now. However, AI did not decide to stop developing there. We will soon be able to generate videos from a simple text prompt. Yes, these images aren’t stagnant. They move.

With the influx of video content creation today, text-to-video could be the tool to change the way we made videos altogether. Smaller organisations may have the opportunity to compete in their respective industries.

This article goes over:

  • What is text-to-video AI?
  • The top 3 benefits of text-to-video.
  • The potential applications.
  • The concerns of text-to-video.
  • What are the companies to look out for?

What is Text-to-Video AI?

Text-to-video AI is a video generation system that creates videos from text.

Text-to-video uses an AI algorithm to generate videos from a text prompt. The text inserted in the field will be analysed. The programme will search for images and animations in an attempt to blend the images and animations together to create the effect that the image is moving.

This could prove to be very beneficial for us in the future.

The top 3 benefits of text-to-video

How text-to-video can benefit us can be divided into three main categories.

Resources and time usage

Less resources and time will have to be spent on the production of videos. This is because most of the work will already be done for the production team. The focus would shift onto the refinement of the video instead.

Skill level of videographers

The skill level of videographers will not have to be as high as it is today to compete in the industry.

Of course, there will always be a defining factor between those who have had experience in the industry and those who haven’t, although the gap between the two would shrink.

More content, less time

Companies would be able to complete more projects in a shorter timeframe without compromising the quality of the video.

Potential applications

There is a variety of different applications concerning text-to-video. Here are a few:

  • Marketing Content
  • Educational Content
  • News
  • Entertainment

This is an exciting time for video creation, but there are some downfalls.

Concerns with text-to-video

Below are the three main concerns regarding text-to-video.


This is an obvious concern when you look at the projects text-to-video has created. Motion still looks unnatural to the human eye. Some more research needs to be done to smoothen the movement and fix the graininess of the video.

It is also difficult to create a video that a human envisioned in their mind, as text is the only medium for information.

Creative control

We have very limited control over how the video appears as we can only type into a text field. The way the algorithm understands it, is the way your video will appear. This makes it less appealing to those who want to get a video to look a certain way.

Playing broken telephone with the algorithm can prove to be more time consuming than just filming and editing the video yourself.

Technical limitations

Since this is still an idea being researched, technical limitations are many. Text-to-video will find difficulty trying to convey human emotions through facial expressions and body language.

Despite these constraints, a couple of companies are showing some real initiative in the development of text-to-video.

What companies should we look out for?

These companies are actively investing in text-to-video.

#1 Google:

We expect big things from Google as they have the database of images and animations. Google is working on AI generated video content called Imagen Text-to-Video Generator. There is room for improvement, but they have given us a glimpse of what video creation in the future could be.

#2 Nvidia:

Nvidia also gave us a snippet of what we could expect from the text-to-video generation tool. Nothing ground-breaking from quality check perspective, but an interesting starting point for text-to-video.

Final thoughts

Given that we are still in the development stages of text-to-video AI, traditionally created videos still overshadow text-to-video by some margin. With the rapid advancement of technology, it won’t be long before we use these tools as templates for our creation. Before we know it, thought-to-text will be a thing.

Social Snack Bar
Social Snack Bar
Social Snack Bar aims to provide news and information about Marketing, Media and Communications in South Africa.

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