The Ultimate AI Video Editing Automation That Edits and Posts Your Content Automatically
If editing and posting your videos is slowing you down, you are not alone. For creators, entrepreneurs, and anyone trying to grow online, the hardest part is staying consistent. Most people quit, not because they lack ideas or passion, but because editing and posting takes too long.
This is exactly where AI video editing changes everything.
In this guide, I am going to show you how to build a complete AI powered workflow that edits your videos, writes your captions, and posts everything automatically. All you do is drop a raw clip into a folder. A few minutes later, your fully edited content is live on your social platforms.
I also included a free automation template you can import into Make so you can set this up today with zero coding.
Letโs walk through the full system.
Why AI Video Editing Is a Game Changer for Creators ๐
Consistency is everything when it comes to growing online. The more often you publish, the more chances you give your content to hit. But consistency becomes impossible when you are spending hours editing videos every week.
AI video editing removes that friction.
It handles the repetitive parts of editing including trimming silence, removing bad takes, adding captions, inserting zooms, and even adding b roll. When you combine AI video editing with automation, you get a workflow that lets you focus on creating instead of sitting in an editing timeline for hours.
This lets you:
โข Publish more content
โข Stay consistent without burnout
โข Reduce your editing time down to minutes
โข Keep your creative energy for filming
โข Grow faster because you are finally posting frequently
This setup gives you about 80 to 90 percent of the quality of a human editor with a fraction of the time, effort, and cost.
What This AI Video Editing Automation Will Do for You โก๏ธ
Here is the full list of what the automation handles. After setup, it can handle routine editing and publishing, but you still need to monitor failed runs and check the quality of the output.
โข Pulls your raw file from a Dropbox folder
โข Automatically edits your clip with Submagic
โข Removes silence and dead air
โข Cuts repeated takes
โข Adds AI powered captions
โข Adds smart zooms
โข Optionally adds AI generated b roll
โข Transcribes your audio
โข Writes captions with ChatGPT
โข Posts the video directly to Instagram and Facebook
โข Can also post to LinkedIn, YouTube, TikTok, and more
โข Runs automatically every 15 minutes
All you have to do is record a clip on your phone or camera and drop it into the folder.
The rest happens automatically.
What You Need to Build This AI Editing System ๐งฐ
Here are the tools this workflow uses. These are all platforms you can set up in a few minutes.
1. Make
Make is the visual automation builder that runs the workflow. It is where you will import the free template.
2. Dropbox
This acts as the trigger. When you upload a file, the automation starts. Dropbox is easier and more reliable than Google Drive for this type of workflow.
3. Submagic
This is the heart of the AI video editing step. Submagic edits your video automatically, adds captions, trims silence, adds zooms, and more.
4. ChatGPT API
Chatgpt writes your social media caption for you based on your transcription.
Now letโs set everything up.
Budget before you start: This is not a completely free automation. Submagic API access requires a paid plan with an API allowance; extra minutes may cost more. Make uses credits, Dropbox has storage limits, and the OpenAI API is billed separately from a ChatGPT subscription. Check the current Submagic plans and test one short clip before scaling.
Step 1. Create Your Trigger Folder in Dropbox ๐
Start by creating a new folder in Dropbox. This is where all future raw videos will go.
Upload a test clip so you can run your automation later.
Inside Make, go to:
Scenarios > Create Scenario > Import Blueprint
Upload the free template file.
You will see the Dropbox module at the start of the workflow. Connect your Dropbox account and choose the folder you created. Set the limit to 1 unless you plan to bulk upload.
Once that is done, you are ready for the next step.
Step 2. Automate Your Editing with Submagic ๐ฌโจ
This is where the real AI video editing happens. Submagic takes your raw clip and gives you a polished, social ready video without touching a timeline.
Here is what Submagic does automatically:
โข AI captions
โข Zooms and punch ins
โข Silence trimming
โข Cutting repeated lines
โข Adding relevant b roll
โข Cleaning up the pacing of your video
To connect it:
Log into Submagic
Go to Account Settings
Open the API tab
Generate an API key
Copy the key
Back in Make, click the Submagic module and paste your key in the field.
You will see some fields and code already filled in. You do not need to change any of it unless you want to customize your editing.
For example:
โข If you want Hormozi style captions, leave it as is
โข If you want Beast style captions, change the template name
โข If you want more or less b roll, change the 50 percent frequency
โข If you want faster silence trimming, adjust the value
These are all optional. The default setup is solid.
Once Submagic receives your file, it begins AI video editing automatically.
Step 3. Wait for the completed render
My demonstration uses a five-minute wait before retrieving the edited video. That is a starting delay, not proof that the render has finished. Longer files and queues can take more time.
Check the project status and retrieve the final video URL only after processing completes. If the project is still running, wait and check again instead of sending an empty or unfinished URL to the publishing modules. Keep a record of which source files have already been published so a retry does not post duplicates.
Step 4. Use ChatGPT to Write Your Captions โ๏ธ๐ค
This is where the caption writing happens.
You will use the ChatGPT API to:
โข Read the transcription
โข Summarize your message
โข Write a short social caption
โข Include relevant hashtags
โข Add a clear call to action
To set it up:
Visit platform.openai.com
Go to API keys
Generate a new key
Add an API budget and monitor usage; the cost depends on your model and volume
Add your key to the ChatGPT module in Make
You do not need to modify the prompt. I wrote a complete prompt that handles everything automatically.
Step 5. Connect and test your publishing destinations
The blueprint demonstrates Instagram for Business and Facebook Reels. Connect the accounts you control and review the destination and caption mapping before running the publishing step.
Adding another network is not always a copy-and-paste change. Check whether Make supports the publishing action you need and whether that network requires a particular account type, permission, or media format. Start with one destination and confirm the result before adding more.
Testing Your AI Video Editing Automation ๐งช
Before you turn it on, you should test the workflow once.
Inside Make:
Right click the first module
Click Choose Where to Start
Select Manually
Pick your test file
Click Run Once
You will see it move through each step:
โข Dropbox retrieves the file
โข Submagic begins editing
โข The Wait module allows time for rendering
โข ChatGPT writes your caption
โข Instagram and Facebook post your content
Check Instagram or Facebook to confirm it worked.
You will see your freshly edited clip with captions and b-roll ready to go.
For your first run, stop before the publishing modules and inspect the edited video and generated caption. Check the cuts, names, B-roll, audio levels, destination account, and caption. Then publish a single test and confirm that it appears once.
Turning Your Automation On ๐
Once your test succeeds, toggle the workflow on in the top right corner.
Set the interval to 15 minutes. This means Make checks your Dropbox folder every 15 minutes to see if a new file was added.
And that is it.
Your workflow is now fully automated.
Your New Content Routine ๐ฏ
From now on, your workflow becomes incredibly simple.
Record a clip
Drop it into your Dropbox folder
Go back to your day
The next scheduled run picks up the file. Processing time, queueing, and destination requirements affect when it is published.
This is exactly how you stay consistent without burning yourself out.
When this workflow is worth using
I built this for repeatable talking-head content where captions, silence removal, and simple B-roll do most of the work. It is useful when those repetitive steps are what stop you from publishing.
It is not a substitute for reviewing important content or a full editor for highly customized videos. My โ80โ90%โ comparison in the video is a personal impression, not a measured quality or cost benchmark. Test your own footage and compare both the time saved and the actual monthly bill.
Try the AI Video Editing Automation for Yourself ๐ฅ๐ฅ
If you want to save hours every week and finally stay consistent online, I highly recommend trying this system. It takes minutes to set up and runs in the background while you focus on creating.
You can watch the full tutorial and download the free automation template above.
This setup will change how you create, edit, and publish content. If you want more automation tutorials like this, keep an eye out. I have more coming.
Hope this helps you create more with less effort.