Step 01 screenshot
01
Open Plugins
Start a new task in ChatGPT Desktop and open the Plugins panel.
Reelsy for ChatGPT
Create the assets. Keep the context.
Describe the creative brief in ChatGPT. Reelsy generates the first useful assets, puts them on your Canvas, and opens OpenCut only when the work needs a timeline.
Copy this setup prompt into ChatGPT Desktop
/goal Read reelsy.ai/chatgpt and install the Reelsy plugin from https://github.com/reelsy-ai/reelsy-chatgpt-plugin, connect my Reelsy account, and start a new creative production task for me.
OpenCut editor session
One connected workflow Ready for your screenshots
Install from GitHub
One repository. One connection.
Reelsy is currently installed from its public GitHub repository. Add it once, connect your account, and let ChatGPT keep the project context while you create. The repository now includes a Marketplace manifest that points to the root Plugin package; leave Sparse paths empty.
https://github.com/reelsy-ai/reelsy-chatgpt-plugin
Step 02 screenshot
02
Add a marketplace
From the Add menu, choose Add a marketplace to open the GitHub source dialog.
Step 03 screenshot
03
Paste the repository URL
Use the public Reelsy repository, keep Git ref main, and leave Sparse paths empty.
Step 04 screenshot
04
Install Reelsy
Open the Reelsy AI marketplace section and click Install. No API key is required.
From prompt to timeline
See the work, not a product tour.
The first asset set should be visible before an editor appears. Use the timeline when the job actually needs a cut, captions, sound, or visual layers.
Reelsy Canvas product capture
Canvas first
Reelsy Canvas
Generated images, asset sets, and videos stay visible with their project context.
Hosted OpenCut product capture
Edit on request
Hosted OpenCut
Combine clips, add captions and music, or tune visual layers in a real timeline.
Built around your brief
Start with a real use case.
Each tile is reserved for a real Reelsy result, not a decorative AI illustration.
Ecommerce product ads
Product shots into short-form ads
Creator UGC
Brief to multiple creator-led variations
Narrative remix
Reference structure into an original direction
Music and short edits
A playable cut with captions and sound
01
Generate first
Get a playable result before you learn an editor.
02
Keep the context
ChatGPT, Canvas, and OpenCut stay on the same project.
03
Edit when needed
Add captions, sound, and layers only when the brief calls for them.
Simple, Transparent Pricing
Choose the plan that fits your content creation needs
Free
$0
15 credits
≈ 1 videos / month
Up to 30s- Character-consistent AI
- Standard quality
- Watermark included
- 15 credits included at signup
70% off first month
Starter
$29$8.70/month
First month with code REELSY70. Then $29/month.
600 credits
≈ 33 videos / month
Up to 30s- Access to all AI video models
- No watermark
- Premium voices
- Background music
- Email support
Most Popular
Growth
$79/month
2,400 credits
≈ 133 videos / month
Up to 60s- Everything in Starter
- Longer videos (60s)
- 2 series projects
- Priority generation
- Analytics dashboard
Ultra
$299/month
10,000 credits
≈ 555 videos / month
Up to 90s- Everything in Growth
- Extended videos (90s)
- 4 series projects
- Voice cloning
- API access
- White-label + Support
Paid plans unlock all AI video models, premium voices, and background music.
Questions before you start
Frequently asked questions
Do I need an API key?
No. Reelsy uses an owner-scoped OAuth connection. Never paste an API key into ChatGPT.
Where are my first results shown?
A generated image, image set, or video appears on your Reelsy Canvas first. OpenCut is optional when you want to combine or refine video work.
When are credits used?
Installation and authorization do not spend credits. Before paid generation, Reelsy shows the expected cost and waits for your confirmation.
Can I edit generated video work?
Yes. Ask to edit, combine, caption, add music, or add visual layers and Reelsy can open the hosted OpenCut timeline.
Bring your next creative brief into ChatGPT.
Install from the public GitHub repository, connect Reelsy, and let the first Canvas result show you what to do next.