Video content has become the main tool for marketing, advertising, and education. According to HubSpot, 91% of companies use video in their strategies, and 88% of marketers report an increase in ROI from video content.

However, producing high-quality video is a complex and expensive process. For example, creating a 5-minute YouTube video with professional editing could take 10 to 20 hours of work and cost between $500 to $5000, depending on the project’s complexity. The market is rapidly growing: YouTube videos get millions of views, TikTok has become a major promotion platform, and Instagram Reels videos increase follower engagement by 22%.

But there is a problem — quality editing requires experience, skills, and significant time investment. To create a video, a marketer or entrepreneur needs either to learn complex programs or hire professionals, which increases costs.

Neural networks and artificial intelligence (AI) are changing the rules of the game. Today, AI can create a video in minutes, generate realistic digital avatars, automatically add special effects, and even replace labor-intensive editing. This opens new possibilities for business: fast video content without large budgets and technical complexities.

How can entrepreneurs, marketers, and content creators use these technologies? What neural networks are already on the market? What opportunities do they open? Let’s explore in this article.

Neural Networks for Creating Videos

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The process of creating video content traditionally consists of three main stages:

  • Generation of video material – filming with a camera, creating 3D graphics, or animation. Previously, this stage required professional operators, animators, and designers.
  • Editing and post-production – editing the material, adding effects, color correction, and voiceover. This process has always been complex and required the use of professional software.
  • Promotion and publication – distributing the finished video through social media, advertising, and other channels.

With the development of artificial intelligence, neural networks have completely replaced the first stage – the generation of video material. Now, you can create realistic video without filming, actors, and graphic editors, using only a text description. The second stage — editing — is not fully automated yet. Neural networks can simplify the work, but complex projects still require human intervention. Let’s explore which technologies allow creating videos from scratch and which tools assist in editing them.

Neural Networks for Video Generation

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AI models create video based on one of three principles:

  • Generation from a text description – the user inputs a command (“robot walking on a beach”), and the neural network creates a video sequence.
  • Frame generation and motion interpolation – AI analyzes static images and adds animation, moving characters, objects, and changing lighting.
  • Comparison with traditional animation – instead of frame-by-frame drawing or complex 3D rendering, the neural network creates a completed video faster and cheaper.
These technologies allow businesses and marketers to receive content instantly without costly filming and complex production processes.

Popular Neural Networks for Video Generation

  • Sora (OpenAI)
    • Generates up to 1 minute of video based on a text query
    • Creates realistic Full HD videos from a text prompt and/or from the image
    • Supports complex movements of objects and characters
    Our team uses Sora to create non-realistic plots and inserts in videos with a wow effect
  • Runway Gen-3 Alpha
    • Specializes in short 10-second clips
    • Trained to work with 3D animation, ensuring smooth movements
    • Used in the film and advertising industry
  • Google Veo
    • Designed for professional film production
    • Supports a high level of color correction and realism
    • Can create long videos
  • HeyGen
    • Allows generating digital avatars of a live person
    • Works in 100+ languages and synchronizes voice with facial expressions
    • Used for creating video presentations and advertising.
    We actively use this tool to automate the creation of expert video clips

    .

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Kandinsky Video

  • Creates 8-second videos based on text descriptions
  • Generates object movements and smooth animations
  • Optimized for quick creation of short clips
BUSINESSSITE specialists use Kandinsky Video for creating dynamic inserts in video editing. These tools allow creating video content literally in minutes, saving time and budget.

Advantages and Limitations of Neural Network Video Generation

Pros:
  • Fast generation – the clip is created in 1–3 minutes
  • Minimal costs – no need for equipment and film crews
  • Flexibility – can instantly change the scenario or details
Cons:
  • Limited video duration – most AI models do not create long videos
  • Animation errors – sometimes characters or objects move unnaturally
  • High hardware requirements – working with powerful neural networks requires resources

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Despite the limitations, generative AI systems have already transformed the video production market.

Neural Networks for Video Editing

  • Modern neural networks simplify video editing by performing tasks that previously required manual work:
    • Automatic scene cutting – AI determines where it’s best to make editing cuts
    • Image quality enhancement – neural networks eliminate noise, add color correction
    • Effect and transition generation – automatic animation overlay, background replacement
AI editors work much faster than humans but cannot yet replace the creativity of a professional editor.

Overview of Editing Tools

  • Wondershare Filmora
    • Easy-to-use platform with AI
    • Automatically selects music and effects
    • Allows quick editing of clips for social media
  • InVideo
    • More than 1000 templates for video creation
    • Recognizes text, faces, and voices
    • Fully automated video editing
  • Descript
    • Allows editing videos as text
    • Automatically transcribes speech and adds subtitles
    • Removes unnecessary sounds and noises
  • Runway AI
    • Used in professional video editing
    • Allows background replacement and removal of unnecessary objects
    • Includes tools for creating special effects
These programs help automate editing, but complex projects still require manual assistance. work.
How realistic is it to replace a human?

Where neural networks surpass humans:

  • Fast video cutting and processing
  • Improving image and sound quality
  • Automatic synchronization of effects

Where humans are still indispensable:

  • Complex artistic editing (movies, music videos)
  • Creative work with effects and scripts
  • Dynamic editing based on emotions
AI speeds up routine tasks, but human oversight is still necessary for complex video production.

Where to use videos created by neural networks?

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Neural networks for generating and editing videos are already actively used in various fields. Their main advantage is creating content quickly, with minimal costs, and without complex technical production.

Advertising video using AI

Companies spend millions of dollars creating commercials, but with the help of neural networks, videos can be produced significantly cheaper and faster. AI helps in generating advertising videos, adding special effects, adapting content for different audiences, and automating A/B testing of creatives.
Which neural networks to use?
Sora Creates realistic commercials without the need for shooting
Runway Gen-3 Alpha Suitable for creating stylish 10-second clips
HeyGen Allows branded digital avatars to personalize advertising
Google Veo A powerful tool for creating professional ads
Example of application: Suppose a company sells fitness programs. Instead of hiring actors, shooting studio videos, and editing them manually, Sora can be used to generate a scene with a trainer, Runway Gen-3 Alpha for creating short advertising teasers, and HeyGen for voicing a virtual instructor.
On social media, short videos are a key tool for audience engagement. Neural networks can automatically create dynamic clips, add subtitles and striking graphics, making the content highly engaging.

Example of application

  • A blogger runs a gadget review channel and wants to publish reviews quickly. He can:
  • Request an animation with the product from Runway Gen-3 Alpha
  • Use InVideo for automatic editing
  • Employ Descript for adding subtitles and voiceover
  • Use Filmora for a dynamic design

This allows content to be created 5-10 times faster than manual processing.

Creating educational videos and online courses

AI helps create educational videos without a real teacher. Neural networks generate virtual presenters, create presentations, overlay animations, and make videos accessible in different languages.

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Example

  • A company develops online programming courses. Instead of traditional video lectures, you can:
  • Create a digital instructor in HeyGen to explain the material
  • Add graphics with Kandinsky Video
  • Translate the video into 10 languages through Descript
  • Use Runway AI for editing study materials

This approach allows scaling the course and making it accessible to an international audience.

Automated content personalization

Companies are increasingly adapting video content for specific clients. For example, personalized video message, where the client hears their name and sees a tailored offer.

Example of Application

  • A bank sends clients personalized loan offers. Instead of a standard letter, they can:
  • Create a virtual manager in HeyGen who addresses the client by name
  • Use Descript to modify speech and mention personal data
  • Add dynamic graphics in Runway AI

This type of content achieves 3-4 times higher conversion than regular text letters.

Creating Video Presentations and Corporate Videos

Companies use video presentations for reports, internal employee training, and demonstrating products and services. Neural networks allow for the rapid creation of such materials without shooting or complex editing.

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Example of Application

  • A corporation conducts an online conference and wants to create a report video. They can:
  • Use HeyGen for generating a digital presenter
  • Automatically cut video clips using InVideo
  • Edit text inserts in Descript

This allows for the creation of a quality corporate video product within hours instead of weeks.

Conclusion

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AI has already completely replaced the process of video content creation and partially automated editing, allowing businesses, marketers, and bloggers to create videos faster, cheaper, and without special skills.

Companies actively using neural networks gain a significant competitive advantage by reducing production costs and increasing content volume.

Businesses no longer have to spend thousands of dollars and weeks of work creating commercials, training materials, or social media content—it’s all automatable with AI.

In the next 3-5 years, AI technologies will make video creation even more accessible.

  • Video generation will become even more realistic—models similar to Sora and Google Veo will be capable of creating full-length movies and long videos without human intervention.
  • Editing will be fully automated—neural networks will automatically select the best frames, adjust color correction, and sound, as well as perform dynamic editing at a professional level.
  • Personalization will reach a new level—brands will be able to mass-generate videos with personalized messages for clients, and bloggers will adapt content for each viewer.
  • AI will replace dubbing and localization—Descript and HeyGen can already synchronize speech and lips, and in the future, the technology will adapt any video content into different languages without actors.
  • Hollywood will begin using AI for films—the largest studios are already testing Runway Gen-3 Alpha and Google Veo for generating three-dimensional animations.
And visual effects, reducing budgets for film and series production.

Start Testing Neural Networks

Try HeyGen for creating video presentations, Sora for generating video materials, or InVideo for automatic editing.

Integrate AI into Business Processes.
Automate the creation of social media content, video advertising, presentations, and personalized client messages.

Save time and money—instead of costly shoots and manual editing, use tools like Runway AI, Wondershare Filmora, and Descript to accelerate production by 5-10 times.
AI in video production is not just a trend, but a new reality. If your business is not using neural networks yet, it’s the perfect time to start, before the market becomes oversaturated and you have the opportunity to take a leading position!