Automating video production: how AI cuts the cost of marketing and training

For owners and executives who want to bring down the cost of producing advertising and training content. After this article you will understand how to translate clips with lip-sync, swap objects in the frame without a reshoot, and where the quality ceiling of these tools sits.

A company needs to enter a foreign market, or to launch a series of training clips for new hires quickly. The classic route is voice talent, translators, an editor, and a studio to reshoot individual scenes. Every step adds days of waiting and a line in the budget.

In AKORDO’s practice we see video marketing in small and mid-sized business die at the edit more often than anywhere else. The material has been shot, it sits there, and there is no time or expertise left to finish it, so the clip never comes out at all.

Multimodal models (systems that work with text, video, and sound at the same time) change the procedure itself here. You no longer explain to an editor where to add graphics and how to change the angle. You write a text request, a prompt, and the system makes the change inside a file that is already finished.

Translation with lip-sync

Localizing video has always been the most expensive operation. Subtitles separately, re-voicing in a third-party service separately, manual timing adjustment separately, meaning the duration of each scene. Tools like Gemini Omni pull all of that into one interface.

The key part of the technology is called lip-sync: the automatic synchronization of the speaker’s lip movements with a new audio track in another language. The system does not lay a voice over the picture. It fits the facial movement so the speech looks natural.

The procedure is short. You upload the source clip in Ukrainian, name the target language, and the model carries the delivery and the emotion of the original into it.

Then comes visual adaptation. Preparing an ad for another region, you can ask for details in the frame to change: makeup, items of clothing, the flag in the background. The content stops looking like a translation and starts looking local.

Current limits cap processing at clips of ten seconds, so longer material has to be cut into pieces and run through in sequence.

Swapping objects and angles without a reshoot

The shoot day is over, and then it turns out the wrong product is in the frame or the side shot is missing. That used to mean renting the studio a second time and booking the model again. Now interactive editing does the job, where you correct the video step by step in a conversation.

You can keep a person’s face and movement and replace the object in their hands: a glass with a bottle of perfume, or any other product. You can generate the angle you forgot to shoot, a view from the side, from above, or from behind, off the footage you already have. You can turn daylight into evening light or add a fisheye effect without going back to the location.

The first generation often comes out with artifacts, stray logos, or watermarks. That is a normal working stage: on the next iteration you ask for them to go and refine the details of the clothing.

Explaining the complex, and infographics

Companies that train people or sell technical services have to explain complicated things simply. Models can already look information up on the web themselves and build a visual explanation on it.

If you need a video about a biological or a financial process, you do not have to write a detailed script. The model works out the substance of the phenomenon and generates an animation that shows the stages.

The same works with material you already have. You upload a video of a shop floor or an aquarium and ask for the objects to be labeled, with arrows and explanations added straight into the frame. There are also dynamic subtitles that appear in the rhythm of the speech, and translation of text filmed on physical objects with the font and style preserved. For TikTok and Reels, where moving text has become the standard, this removes most of the editing.

Google Flow and your own tools

For regular work an ordinary chatbot is inconvenient because of the limits, which come to a few videos per five hours even on a paid plan. Google offers Flow for this, an experimental workspace and a full video editor.

Flow has an “Agent” mode you hand the organizational part to: come up with clip ideas, assemble a storyboard (the sequence of sketches of the scenes to come), sort hundreds of generated files into groups, and rename them.

The interesting part starts with your own tools. If you repeat one action every day, stretching a video in time for instance, you can ask AI to write the code and make you a button for that task specifically. That is how a company assembles its own content production line without writing a single line of code by hand.

Where the line runs

One thing is worth knowing before you promise a client a clip. After editing of this kind the picture often comes out soft, and its quality is enough for social media but not for large-format advertising or broadcast. Plan these tools for Reels and TikTok, not for a billboard.

The second point concerns your audience specifically. Cyrillic in the frame goes wrong sometimes, so check any Ukrainian text the model paints in or translates inside the video separately, before you publish.

Is this about you?

Recognize yourself in three points or more and it is worth testing:

• you make video for foreign clients and pay for professional dubbing;
• marketing keeps producing reshoots because of small errors or a change in packaging design;
• the team spends more than two hours on subtitles and infographics for one short clip;
• you need advertising creative and there is no budget for a motion designer;
• you want to launch a branded character who will speak to the audience for the company;
• you work in real estate or interior design and show clients renovation options on photographs of their own rooms.

Where to start

Take one scenario, a short address from your executive translated into English, for example. You will need a paid subscription from twenty dollars a month, and a VPN as well to reach Google’s experimental features from our region.

Do not take on the long format straight away. Ten-second pieces will give you the main thing: an understanding of how to phrase the request so the model gets you the first time. That, rather than the generation itself, is where you save the bulk of your time.

Key takeaways

• Multimodal models are turning into video editors you drive in ordinary language instead of on a timeline.
• Translation with lip-sync lets you scale marketing into other markets without a dubbing studio.
• Swapping objects and generating missing angles remove most of the reasons to shoot again.
• The quality of the result is built for social media, so large screens and broadcast still need ordinary production.

Sales team training is part of three AKORDO cases: a training platform with testing in a commercial sales system for financial services, manager training in a sales department for a brand with seasonal demand and training based on communication analysis in a medical network’s contact centre.