From article to vertical video: how AI teasers work

Most publishers have far more articles than videos, and producing video for every story is out of reach for most newsrooms. Generative AI teasers close part of that gap by turning existing articles into short vertical videos. This post walks through how the process works step by step, where human editors should stay involved, and the guardrails that keep the output trustworthy.

What an AI teaser is (and isn’t)

An AI teaser is a short, vertical video built from a written article. It summarizes the story in a handful of scenes, typically with on-screen text, images and motion, and is designed to be watched on a phone with the sound off.

It’s worth being clear about what a teaser is not. It isn’t a replacement for original video journalism, and it isn’t a full retelling of the article. Its job is to give a reader the gist quickly, make the story more engaging in a feed of vertical video, and invite them to keep reading or keep watching.

That narrow purpose is what makes automation workable. The source material already exists, it has already been edited, and the video only needs to represent it faithfully.

The pipeline: from text to scenes

The details vary by tool, but converting an article into a vertical video generally follows the same sequence of steps.

1. Ingest the article. The system reads the headline, body text, metadata such as section and tags, and the images already attached to the story.
2. Extract the key points. A language model identifies the core facts and the most important developments, separating them from background and asides.
3. Write a short script. Those points become a sequence of brief text beats, each short enough to read comfortably on a phone screen in a few seconds.
4. Break the script into scenes. Each beat becomes a scene with a clear visual role: an opening hook, supporting points and a closing frame.
5. Match visuals to scenes. The system pairs each scene with suitable images, starting with the publisher’s own article photos and approved media.
6. Apply layout and motion. Captions, transitions, subtle movement on still images and brand elements are applied in a vertical, full-screen frame.
7. Render and publish. The finished video is encoded for fast mobile playback and made available to the player.

The result reads like a set of swipeable story cards brought to life, which fits naturally alongside other vertical video on the page.

Keeping editors in control

Automation handles the repetitive work. Editorial judgment should stay with people. The most effective setups treat AI output as a draft that follows the publisher’s rules, not as finished content that bypasses them.

Practical ways to keep that control:

• Choose which content is eligible. Decide by section, tag or story type which articles can become teasers. Evergreen guides and lifestyle content are very different from breaking news.
• Review before publishing where it matters. Some teams approve every teaser; others spot-check low-risk sections and fully review sensitive ones.
• Edit the script, not just the video. Letting editors adjust the text beats is faster than re-rendering from scratch and fixes most issues at the source.
• Apply house style. Fonts, colors, logo placement and tone should match the publisher’s brand automatically.

With the Vortex Player, the experience is styled to the publisher’s brand and controlled by their policies, which is where these editorial choices belong.

Where teasers tend to perform

Not every article benefits equally from a video version. Teasers usually make the most sense where a story has a clear narrative or a few strong visual moments.

Good candidates include:

• Explainers and how-to content, where a few clear steps translate naturally into scenes.
• Lists and roundups, which already have a scene-like structure.
• Entertainment, travel, food and lifestyle stories, where images carry much of the appeal.
• Evergreen articles, which keep driving views long after publication.

Placement matters as much as selection. A teaser can sit mid-article to re-engage readers who are skimming, at the bottom of a story to lead into the next piece, or behind a click-to-play prompt for a lighter footprint.

The honest answer on performance is that it depends on your audience, so test it. Built-in A/B testing lets you compare layouts, formats and placements, and advanced reporting shows how teasers affect engagement on your own pages. If you want to go deeper on keeping readers moving from one story to the next, that’s the subject of our upcoming post on recirculation.

Guardrails that keep teasers trustworthy

A teaser carries the publisher’s name, so an error in the video is an error by the publisher. Generative systems can make mistakes, and the guardrails should assume they will.

The most important safeguards are:

• Stay faithful to the source. The script should only contain facts that appear in the article. No new claims, no added numbers, no invented quotes.
• Avoid misleading visuals. An image should never imply something the story doesn’t say, such as pairing a person’s photo with an unrelated allegation.
• Respect image rights. Use images the publisher has the right to reuse in video, not just on the article page.
• Handle sensitive topics carefully. Tragedies, crime, health and legal stories may need full human review or exclusion from automation altogether.
• Be transparent. Follow your own disclosure policy for AI-assisted content so readers know how the video was made.
• Keep headlines honest. A teaser should make people curious, not promise something the article doesn’t deliver.

These rules also protect advertising value. Accurate, brand-consistent video builds audience trust, and trusted environments are where advertisers want their ads to appear.

If you’re curious how generative teasers could work with your own content and editorial policies, see what Vortex offers publishers.