Video editing guide

Can ChatGPT Make Videos? A Clear Guide to the Workflow

Updated

ChatGPT can help you make a video by developing the idea, script, shot list, storyboard, and production instructions. With suitable connected tools or a project built with code, an assistant may also help create parts of a renderable video. The actual ability to generate footage or export an MP4 depends on the tools you have, so define what “make a video” means for your project before choosing a workflow. An animated explainer assembled from text and graphics requires different tools from a clip built from a camera recording or newly generated footage.

In this guide

Four ways to make a video with ChatGPT

The simplest use is preproduction. Give ChatGPT an audience, a goal, a duration, and the material you already have. Ask it for a script, scene order, on-screen text, or shot list. You then record or source the visuals and assemble them in a video editor. This works for tutorials, social clips, product demonstrations, and educational videos.

The second use is editing recorded footage. A transcript lets ChatGPT propose cuts and a stronger sequence. An editor performs the actual timeline changes. This is a good route if you have a talking-head recording, interview, or screen capture. Read how ChatGPT can help edit videos for a cut-list workflow.

The third use is a composition built with code. A coding agent can help write a video project using a framework such as Remotion. Remotion documents workflows for coding agents that create videos through code, with a project and rendering environment. This is especially useful for animated text, graphics, repeatable layouts, and product announcements. You should still preview the result and revise timing and readability.

The fourth use is generated footage. This is a separate category: a video generation service turns a prompt or other input into moving imagery. Availability, controls, and output depend on the specific product and account. A script from ChatGPT does not itself create new footage, and a composition built with code may use supplied assets rather than generate any new scene.

The ChatGPT skills and plugins guide explains how reusable instructions and connected tools can extend workflows. A skill can also package instructions and resources, as the OpenAI skill-building guide describes. Those documents do not establish the same video-making capability for every account. Check the available tools and supported file operations in your own setup.

A practical production workflow

Begin with one sentence that describes the outcome: “Show first-time users how to remove a long pause from an interview clip,” for example. Define the intended viewer and where the video will be seen. Then list the assets you have: footage, logo, screenshots, narration, or transcript. This avoids a plan that depends on visuals you cannot produce.

Ask ChatGPT for a scene-by-scene outline. Each scene should have a purpose, estimated duration, spoken or on-screen copy, and required asset. A 30-second video usually needs less text than you expect. Speak the copy aloud and check whether the on-screen wording can be read in the time allowed. The plan is useful only when it can be built with your actual material.

Create or assemble the video in the relevant tool. For footage, use an editor with a timeline. For graphics, use a video framework or motion-design tool. For newly generated scenes, use a service that explicitly supports that task and inspect its current output controls. Keep the source files and the creative brief together so revisions remain understandable.

Preview before export, then watch the exported file. Check the opening frame, titles on a small screen, audio transitions, factual claims, and the ending. If your video has narration, compare the visual timing to the spoken words. A technically valid MP4 can still rush a key point or leave the viewer unsure what to do next.

For a project based on recorded footage, Cutiz lets you trim and rearrange real clips, remove silences reversibly, clean up voice audio on device after its model is downloaded or cached, and add animated text. The guide to adding text to a video covers an important finishing step. If you start from speech, a video-to-text workflow can also help you produce a transcript for planning.

ChatGPT, Sora, and the API

OpenAI’s video generation API guide currently says the Sora 2 models and Videos API were shut down on September 24, 2026, with no one-to-one replacement API. The guide remains online for historical reference. That statement concerns those developer API products. It does not, by itself, establish the state of consumer video features in ChatGPT or Sora.

If you find a tutorial that tells you to call the old Videos API, check its date and the current API documentation before building around it. If your goal is a video for publication rather than an API integration, decide first whether you need new generated footage at all. Many useful videos can be made from recordings, screenshots, type, charts, and voiceover.

Example: turn an idea into a production brief

Suppose you want a 25-second vertical clip announcing a new app feature. You have two screenshots, a logo, and a short screen recording. A prompt that gives ChatGPT real constraints might be:

Write a production brief for a 25-second vertical video introducing our new search feature. Audience: existing users who already know the app. Available assets: two screenshots, one screen recording, and the logo. Use only those assets. Give me five or fewer scenes with approximate durations, on-screen text of no more than eight words per scene, and a note on what the viewer should understand before the next scene. End with a clear call to action. Flag any scene that would require a missing asset.

The result can guide either a manual edit or a composition built with code. Read the proposed text on a phone preview. If a scene needs a new asset, revise the plan before production. If a claim cannot be shown with the available footage, change the claim or record what is needed.

Start with the video you can make

ChatGPT can move a video from a vague idea to a useful plan, and a supported tool can turn that plan into a renderable project or edited recording. Match the method to your assets and review the final file. Already have footage? Edit the recorded video in Cutiz after using ChatGPT to settle the story and scene order.

Frequently asked questions

Can ChatGPT create an MP4 from a prompt?
That depends on the connected tools or production environment available to you. ChatGPT can prepare the creative instructions. A video generator, editor, or rendering framework must carry out the media operation and export.
Can ChatGPT make a video from photos?
It can plan the sequence, captions, pacing, and voiceover from your photos. The slideshow or animated composition must be built and rendered with a tool that accepts the assets. Review crop and image quality at the final size.
Can ChatGPT make videos for free?
Pricing and limits vary by product, account, and connected tool. Check the current terms of the exact workflow you intend to use before planning a production around a price assumption.
Is ChatGPT video generation the same as video editing?
They solve different tasks. Generation produces new moving imagery; editing selects and changes existing media. Some projects use both. Name the task you need so you can choose the right tool and review the appropriate output.
Can Codex help make a video?
Yes, in a supported project built with code. Remotion documents Codex among its supported coding agents. Read the Codex video editing guide for where this workflow fits.

The verdict

I would start with the assets already available and use ChatGPT to write a scene plan before choosing a production tool. For recorded footage, I would use a timeline editor; for repeatable animated graphics, I would choose a renderable code project. I would only seek a video generation service when the concept genuinely needs new footage.
Edit recorded footage in Cutiz