Editing Video in ChatGPT Is Easier Than You Think
Illustrates how multimodal LLMs can serve as lightweight video editors and automated production assistants capable of generating custom review tools for B-roll curation.
What this lesson covers
The creator demonstrates how to execute native video editing tasks directly inside ChatGPT, including color grading, picture-in-picture, and captioning via text instructions. They also show how ChatGPT can source B-roll imagery from the web and generate an interactive review webpage to approve or reject visual assets prior to editing.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:15 ↗
ChatGPT can execute direct video editing operations such as adding captions, dissolves, picture-in-picture overlays, and countdown timers without third-party NLE software.
- 00:39 ↗
Visual stylistic adjustments, including black-and-white conversion and distinct cinematic color grades, can be applied to video using conversational text instructions.
- 01:25 ↗
ChatGPT can parse spoken monologue to generate an appropriate B-roll shot list and retrieve relevant public images to match the script.
- 01:50 ↗
ChatGPT can code a functional, browser-based review interface that lets creators approve, reject, and submit feedback on proposed B-roll shots before assembling the cut.
Workflow outlined in the video
- Upload a recorded video to ChatGPT and request supported direct editing functions.
- Provide text prompts directing specific visual alterations, such as high-contrast color grading, audio leveling, and on-screen text overlays.
- Prompt ChatGPT to extract contextual keywords from speech and search for matching B-roll images.
- Request an interactive web review tool to inspect source attribution and motion proposals for each suggested image asset.
- Submit approval or corrective feedback on individual shots through the generated interface prior to finalizing the video assembly.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
Explore the tools
How to interpret the numbers
8,088 views captured 12 October 2026. ReelStack recommendation score: 51/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.68× views vs 4 other channel videos observed at a similar age. View-evidence factor 89% (views / (views + 1,000))
- 25% freshness: 87/100 with a 14-day half-life
- 20% momentum: 2190 views/day vs 2416 channel baseline (4 comparable uploads), with the same view-evidence factor
- 10% engagement: 50/100; likes + 4× comments, smoothed with a 500-view neutral prior