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Xelta Uses AI to Find Moments in Long Videos to Make Content Creation Faster

News provided by

Xelta Editorial Team

August 18, 2026

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Xelta Prism analyzes long-form videos such as podcasts, webinars and interviews to help creators identify useful moments, key takeaways and topics that can be reviewed and repurposed into shorter content.

Xelta Prism looks at podcasts, webinars, interviews and other long videos to help people find useful parts, main points and topics that can be used to make shorter content.

Xelta is making AI more important in the video editing process with Xelta Prism its AI tool for cutting videos and repurposing recordings.

The tool is made to look at videos like podcasts, webinars and interviews and find parts that might be useful for people to check. Xelta says Prism looks for signs like emotions, main points and popular topics in the video.

The idea is simple: long videos often have useful parts than the full video shows.

A one-hour talk might have different conversations. A webinar might include parts that make sense on their own. A podcast might move through ideas and thoughts before it ends.

The problem is finding the parts without treating every minute the same.

Using AI to Understand What Is Happening in Longer Videos

Traditional video editing still depends a lot on watching, thinking and deciding what is important.

AI does not take away that choice.

What it can do is help with the step of looking through the video.

Xelta Prism uses intelligence to look at long videos and find parts that might be worth checking. Its current site says it looks for moments, main points and popular topics as part of the process.

This makes the process less about cutting a video into equal sections and more about finding parts that have a reason to be separate content.

A useful part might be worth its video.

A strong feeling might work better as a social clip.

A discussion about a topic might be better for a different audience than the full video.

Prism gives people a starting point for checking these options.

The final decision is still up to the person making the content.

Going Beyond Watching Long Videos

Anyone who has worked with a podcast interview or webinar knows the issue.

The good 40-second part might be 32 minutes into the video.

Finding it manually means going through the timeline listening to parts and marking sections before the real work even starts.

Xelta Prism is made to cut down on that search by looking at the video first.

Its current way of working includes finding highlights and getting those parts ready for more editing and using them in other ways.

This does not mean every AI found part is automatically the one.

Context is still important.

A cool sentence might depend on what came before it. A strong reaction might not make sense without the question that caused it. A short part might be interesting but not right for a brands audience.

AI can help find options.

People still have to choose what works best.

Repurposing Content Is More Than Making It Shorter

One common mistake in using long videos is thinking that shorter is always better.

That is not true.

A short part needs to make sense on its own.

It should start with information.

Its main point should be clear.

The way it is presented might need to change depending on where it will go.

Xelta Prism brings some of these steps into the process.

The platform can automatically create captions add zoom effects and change content for viewing according to its current site. It also gives editing tools so people can check and change the content before finishing it.

This makes Prism useful not just for finding parts in a video but also for the next step of getting that content ready for shorter formats.

Podcasts Can Be Than One Part of Content

Think about a podcast.

The regular way of working might treat the episode as the only thing.

Inside that episode there might be a strong answer a disagreement, a helpful explanation, a surprising thought and several topics that can be shared separately.

The same idea applies to webinars.

A 45-minute session might have short parts that answer different questions.

An interview might have parts that work on their own outside the conversation.

Prism is made to look at these kinds of videos and find parts that creators might want to check.

This gives content teams another way to think about the material they already have.

Before setting up another recording they can look closely at what has already been made.

AI Help Without Saying Every Part Will Be Popular

There is a point to make.

Finding a moment does not mean that moment will be popular.

Xelta currently calls Prism an AI tool for finding parts that might be popular and mentions finding "parts.

That language describes the kind of moments the system tries to find.

It should not be seen as a promise that a clip will be popular.

Success still depends on things outside the editing tool like the content, what people like, where it is shared when it is posted the choices made and the platform it is on.

A realistic role for AI is helping people cut down the amount of video they have to look through before finding useful parts.

That is where Prisms long video analysis becomes important.

Getting the Selected Parts Ready for Shorter Videos

Once a good part is found, how it is shown matters.

Long videos are often made in a format not meant for social media.

Prism supports format as part of its current process and can add captions and zoom effects to the parts.

People can then use editing tools to check the result of taking the AI output as final. Xelta also says cloud-based rendering is part of the process.

This makes the process between looking, selecting and preparing more connected.

AI helps find parts.

The system helps with how it looks.

The person checks the result.

That way of working is more realistic than saying AI replaces the editor.

Making Existing Video Collections More Useful

As people and companies make videos another problem grows: there is more content to look through.

Podcasts get episodes.

Companies save interviews.

Marketing teams record webinars.

People build collections of conversations and educational content.

The value of these videos is not just on the day they were first shared.

Tools like Xelta Prism give teams another way to go back to videos and find parts that might still be useful.

That makes AI-assisted content repurposing less about making videos and more about finding what is already there.

A Realistic Role for AI in Video Work

Xeltas bigger platform includes AI Film, AI Studio, Voices, SocialVerse, AI Ads and other creative tools with Prism in its AI Film group.

Prism is a part of that process.

It is not mainly about making a video from nothing.

It is about looking at videos that already exist and helping people decide which parts might be worth using

For teams with a lot of recorded videos that's a practical use of AI.

The technology does not have to guess what people will like.

It can start by helping people find parts they might otherwise miss.

About Xelta

Xelta is an AI tool for work that offers ways for AI Film, video and image creation, voice, advertising, social media and other content. Its current platform has Xelta Prism along with Microdrama, Movie Trailer, Cinematic Studio and other AI Film features.

Xelta Prism is made for AI help with cutting videos and making content from long videos like podcasts, webinars and interviews.

Find out more about Xelta Prism check Xelta or talk to the Xelta team.

Media Contact

Xelta

Email: [email protected]

Website: www.xelta.ai

Contact: Contact Xelta

Xeltas current Contact page shows [email protected] for questions about AI tools, help and joining in.

Xelta Uses AI to Find Moments in Long Videos to Make Content Creation Faster
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