Automation of video creation in 2025: Tools and neural networks for business

The end of the era of expensive video studios?

Just a few years ago, corporate video production was associated with renting a studio, hiring camera operators, lighting technicians, and the long work of an editing director. The budget for one minute advertising video easily exceeded 150,000 rubles.

In 2025, the situation has changed radically. Estimated Wyzowl agency annual report82% of businesses already use video content, and more than 40% of them delegate part of their production to artificial intelligence.

Automation of video content is not a replacement for creativity, it is an opportunity post more quality materials and test dozens of advertising hypotheses for the budget of one traditional video.

---

4 stages of video production that are already automated

1. Подготовка сценария и раскадровки (ChatGPT & Claude)

Spending hours brainstorming is a thing of the past. Modern LLMs (Large Language Models) are capable of not only writing text, but also generate director's scripts. You ask the bot a prompt: “Write a script for a 30-second Shorts about the benefits of CRM. The left column is the speaker's text, the right column is the visuals. Style: energetic". In 10 seconds you have a finished storyboard.

2. Voice cloning and dubbing (ElevenLabs)

Text-to-Speech (TTS) technology has overcome the robotic voice effect. Market leader - ElevenLabs. The service allows you to upload 1 minute of your own voice and create a digital clone that will voice any scenario with your intonations, pauses and breathing. Alternatives: Yandex SpeechKit (for perfect Russian intonation), OpenAI TTS.

3. Digital Avatars (HeyGen and Synthesia)

You no longer need a camera and a prompter. Platforms like HeyGen achieved photorealistic lip synchronization quality (Lip-sync). You:

1. Upload a 2-minute video of your face in good light.
2. The neural network creates your digital twin.
3. You insert text → the digital “you” narrates the text on the video perfectly and without stuttering in any of 40 languages.

4. B-Roll and interruptions (Runway Gen-3 and Sora)

The biggest problem in video editing is finding suitable shots (B-Roll). Stock videos often look unnatural or overdone. Neural networks for generating video from text (Text-to-Video) like Runway Gen-3 Alpha or OpenAI Sora allow you to create photorealistic camera flyovers, abstract backgrounds or character animations simply by writing a text request.

---

What it looks like in practice: the content pipeline

How modern studios (including us at NBM-IT) organize the content marketing process for their clients:

1. Base of ideas: Use Airtable or Google Sheets to create a list of topics for the month.
2. Scenarios: Bundle Make.com submits topics to ChatGPT, which writes scripts for YouTube Shorts.
3. Generation: The HeyGen API receives the text and generates 10 vertical videos with a digital avatar of the company founder.
4. Installation: Services like CapCut Pro or Opus Clip In seconds, they cut the video, add dynamic subtitles, emoji and cut out pauses.
5. Publication: Auto-posting tools (Buffer, Metricool) publish these videos to VK Clips, YouTube Shorts, Reels and Yandex Zen strictly according to schedule.

Result: 30 videos per month are created in 1 working day by one content manager.

---

For whom is this a business necessity?

• Online schools and information business: Automation of lesson recording. If the figure in tax legislation has changed, you do not need to re-shoot the entire lesson - just rewrite the text for the avatar.
• Online stores: Mass generation of personalized video reviews for each product card.
• B2B and IT companies: Creation of regular video cases, instructions on using SaaS platforms and SEO optimized video answers to frequently asked questions from clients.

---

Where to start? (Advice from an expert)

Don’t try to immediately replace everything with neural networks. Proceed iteratively:

1. Get started with auto-subtitles. Use AI in CapCut to make it convenient for viewers to watch you without sound (70% of users on social networks do this).
2. Try it clone voice. This will save you hours of re-recording bad takes.
3. And only when these processes are debugged - test digital avatars for routine training content.

In the race for the user’s attention, the winner is not the one who has a more expensive camera, but the one who can publish content consistently, frequently and with high quality. AI gives you exactly this superpower.

Need help implementing funnels and marketing automation in your company? We at NBM-IT specialize in digital business transformation. Leave a request on the website.