How local newsrooms produce explainer and recap video with AI

How local newsrooms produce explainer and recap video with AI

Small newsrooms are expected to publish video without a video team. Here is how AI turns a written story into an explainer or recap, fast, without fabricating the news.

By The Morphic Team · Updated 2026-09-10

Local newsrooms produce explainer and recap video by scripting the piece straight from the published story, generating a presenter or a voiceover, adding maps, charts, and generic b-roll, then assembling and publishing the cut in one place. The workflow is short: write the script from the reporting, generate the voice, add the explanatory visuals, then assemble and publish. Because every step lives in the same project, a story that used to need a separate video team becomes something one journalist can turn around, without fabricating footage or stitching four tools together.

Steps at a glance

  1. Script the explainer from the published story
  2. Generate a presenter or a voiceover
  3. Add maps, charts, and b-roll
  4. Assemble and publish the cut
  5. Keep visuals explanatory and labeled to your standards

How a newsroom turns a story into video, step by step

1.

Script the explainer from the published story

Start from the reporting you already have. Attach the written story and draft a tight script that says what happened, why it matters, and what comes next, in the newsroom's own voice. This is the part that stays human, because it is where editorial judgment lives. Written down, the piece becomes an ordered script you can hand to the platform beat by beat rather than a blank timeline you face on deadline.

2.

Generate a presenter or a voiceover

Generate the narration in a directed read rather than a flat one: set the pace and the tone so it sounds like your newsroom reading its own story. Choose a generated presenter if the piece wants a face, or keep it as voiceover over graphics, which often suits a recap better. Free exports carry a watermark, so published segments come from a paid plan that exports clean and at higher resolution.

3.

Add maps, charts, and b-roll

Bring in the explanatory visuals the story needs: a map of where it happened, a simple chart for the numbers, and generic b-roll to cover the narration. Generate these from a brief rather than hunting a stock library. Keep them clearly explanatory, the way you would treat an illustration, so nothing generated is mistaken for real footage of the event itself.

4.

Assemble and publish the cut

Bring the narration and visuals onto the Compose timeline, set per-clip volume, add transitions, and cut for rhythm. Because it all lives in one platform, an editor's note becomes a regeneration and a fresh cut the same hour rather than a round trip through separate apps. Export the master, then reframe it vertical for social from the same project.

Here are a few of the finished pieces this produces, each generated from a brief rather than filmed:

Explainer segment

Map graphic

Recap cut

A video team versus AI-assisted

The change is less about any single segment and more about how each stage of a video shifts when a small newsroom can do it in one place. Here is the shift, honestly drawn.

StageVideo teamAI-assisted
First cutA booking and a shootThe same afternoon
NarrationA recording sessionA directed voiceover
GraphicsA motion designerGenerated from a brief
A revisionA re-edit next dayA regeneration in place
Best used forBig set-piece coverageDaily explainers, recaps

Put it together

Producing video in a small newsroom is not about faking anything; it is about removing the handoffs so one journalist can turn a story into a segment on deadline. Script from the reporting, generate a directed voice, add explanatory graphics, then assemble and publish in the same place. The value that matters is the speed from published story to posted video, held to the same editorial standards you already apply. The lowest-risk way to try it is to rebuild one recent story as a recap and compare the hours honestly. The text-to-video generator turns a script into a clip, and how to make an AI video covers directing a shot so it reads the way your newsroom intends.

الأسئلة الشائعة

Does using AI mean the newsroom is fabricating footage of events?
No, and the line matters. The reporting stays the reporting: the script comes from your published story, and the visuals are explanatory, such as maps, charts, and generic b-roll, not staged reenactments passed off as real footage of an event. Treat generated visuals the way you would treat a stock graphic or an illustration, label them by your own newsroom's standards, and never present a generated shot as documentary evidence of what happened.
How fast can one person turn a story into a video?
Much of an explainer or recap can come together in a single sitting once the story is written, because the script, the voiceover, the graphics, and the cut all happen in one place with nothing to export between steps. The parts that still take a journalist are the ones that should: deciding what the video says, checking it against the reporting, and approving it before it publishes.
Do we need an on-camera presenter?
You have a choice. A generated presenter or a plain voiceover over graphics both work, and many recaps are stronger as voiceover with maps and b-roll than as a talking head. Whichever you pick, keep the read directed rather than flat, so the video sounds like your newsroom and not a robot reading a wire story.
Can we produce the same recap for different platforms?
Yes. Reframing the cut for vertical is a parameter rather than a re-edit, a shorter social version is a trim of the same project, and captions in another language are a step in the same file. One recap becomes a set of platform versions from the work you already did.