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Runway (ChatGPT plugin)

Runway lets users generate and edit images, videos, and audio directly from ChatGPT using their Runway account. Users can create images from text or edit an uploaded photo, animate images into video, make targeted edits to existing footage, expand videos to new aspect ratios, build multi-shot story videos and product marketing ads, localize an existing ad into another language, remove backgrounds, upscale media, convert video to HDR, generate music, sound effects, and spoken voiceover, author an

AI Workbench · sourced catalog

Why learn Runway (ChatGPT plugin)?

Brings Runway capabilities into ChatGPT so the assistant can work with that service's context.

The problem it solves

Reduces manual handoffs between ChatGPT and Runway.

Where it came from

Runway (ChatGPT plugin): Runway lets users generate and edit images, videos, and audio directly from ChatGPT using their Runway account. Users can create images from text or edit an uploaded photo, animate images into video, make targeted edits to existing footage, expand videos to new aspect ratios, build multi-shot story videos and product marketing ads, localize an existing ad into another language, remove backgrounds, upscale media, convert video to HDR, generate music, sound effects, and spoken voiceover, author an Directory record checked 2026-10-12. Availability depends on region, plan, permissions and the publisher. Directory presence does not establish a quality ranking.

Build your understanding

Work through these exercises in order. Try the task before opening a reference.

  1. Explain what Runway (ChatGPT plugin) does.
  2. Identify a use case for Runway (ChatGPT plugin).
  3. Describe a limitation of Runway (ChatGPT plugin).
  4. Name a compatible tool for Runway (ChatGPT plugin).
  5. Compare Runway (ChatGPT plugin) against an alternative.

Documentation and sources

Catalog research notes

Connect the ideas

Built on

ChatGPT plugin platformModel Context Protocol (workbench)

Real World Example

Illustrative business scenario · AI-generated from linked documentation · Not a measured customer case study

Rapid Localization of Product Marketing Assets

Global e-commerce brands managing multi-region marketing campaigns.

The business problem

High operational costs and long turnaround times associated with manually re-editing video advertisements for different linguistic markets.

How this topic solves it

Using the Runway ChatGPT plugin to automate the localization of existing video assets by generating localized spoken voiceovers and adjusting visual elements directly within the chat interface.

  1. Upload the original high-resolution product advertisement video to the Runway plugin interface.
  2. Instruct the plugin to generate a localized spoken voiceover in the target language based on the provided script.
  3. Utilize the plugin to perform targeted edits on existing footage to align visual text overlays with the new language.
  4. Verify the output quality and export the localized video asset for immediate deployment to regional social media channels.
Localization Workflow · Process flow

The process of transforming a source video into a localized asset.

Source Video

Original marketing footage

Runway Plugin

AI processing engine

Voiceover Gen

Target language audio

Visual Edit

Text overlay adjustment

Final Asset

Localized marketing video

  • Source Video → input → Runway Plugin
  • Runway Plugin → generates → Voiceover Gen
  • Runway Plugin → edits → Visual Edit
  • Voiceover Gen → merges → Final Asset
  • Visual Edit → merges → Final Asset

Expected business outcome

A streamlined workflow that reduces the time-to-market for localized video content while maintaining brand consistency across global regions.

Limitations and checks

The plugin may struggle with complex cultural nuances or idiomatic expressions in voiceover generation, requiring manual review of the generated audio to ensure tone and accuracy.

Sources

Generated 2026-10-18 with gemini-3.1-flash-lite. Your assessment includes two questions about this example.

Catalog source: technology-maxxing. This page reproduces the existing catalog’s learning material and source links.