How to Assemble Frames into a Video with ChatGPT
Assemble Frames into a Video with ChatGPT and ToolRouter. Compile a sequence of images into a smooth video with controlled timing, transitions, and audio.
Tool
Share your sequence and ChatGPT will produce the assembled video with a documented production spec. This is well-suited when the assembled video is one step in a larger production pipeline that needs recorded decisions for future revisions.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
Steps
Once connected (see setup above), use the Short Film Maker tool:
- Share the ordered image set, total duration target, and any platform or audience constraints.
- Ask ChatGPT to run `short-film-maker` with `frames_to_video` to assemble the sequence.
- Request a production spec covering frame timing, transition choices, audio, and total duration.
- Attach the clip and spec to your production record for revision reference.
Example Prompt
Try this with ChatGPT using the Short Film Maker tool
Use short-film-maker with frames_to_video to turn these 12 storyboard frames into a 30-second animatic. Hold each frame for 2.5 seconds, clean cuts between panels, ambient thriller music. After generating, produce a production spec: frame count, total duration, transition type, audio description.
Tips
- Document the timing spec after generation so any revision request has a clear baseline to work from.
- Have ChatGPT note which frames were given more or less hold time if the pacing was uneven.
- Ask for alternative timing suggestions before generating — ChatGPT can often identify a stronger pacing strategy for the narrative.