I turn a 30-minute raw recording into a captioned, webcam-masked, music-backed YouTube upload and Twitter share in under 90 seconds with a command-line AI pipeline. I run commands to process audio, trim silences, attach the webcam mask, add captions, set background music at 5%, write metadata like title, description and tweet template, then upload to YouTube and share on Twitter. Silence removal alone cut one 30-minute file to 12 minutes 14 seconds, and the pipeline uses AI models plus voice commands to decide how to edit. My take is that repeatable content production should be automated end to end, not handled as a series of manual edits.
Key takeaways
Automate the entire publishing chain from raw file to edited upload and cross-post, not just one editing step.
Trim silences first; it can turn a 30-minute recording into a 12-minute-14-second cut before adding other edits.
Attach metadata before upload so title, description and tweet template travel with the file.
Keep background music low at around 5% so speech stays clear.
Use AI models plus voice commands to decide and apply edits instead of editing every clip by hand.
Verify the final output on YouTube and Twitter to confirm captions, masking and sharing worked.
I've built a collection of AI automations that save me 15-20 hrs every week in content creation. I'm using this to post so much more than I've ever done before. Check out what I built here: https://www.hassandev.me/work/phantom-editor
Transcript
Let me show you how I can edit and upload a 30-minute video in less than 90 seconds.
Here's what we're going to do. We're going to process the audio. We're going to trim the silences from the video. We'll auto-attach the webcam mask. We'll add captions. We'll add background music. And finally, we'll upload it to YouTube and share it on Twitter.
And to do all of this, all we need to do is run a bunch of commands. So I'll run a command to process the audio. Done. I'll run a command to trim the silences. Done.
And just notice that we took this 30-minute video down to just 12 minutes and 14 seconds, just by eliminating the silent bits. Amazing, right?
Now I'll attach the webcam mask. Again, all it takes is a simple command in your terminal. Now, the way this works under the hood is it basically uses some AI models and some voice commands to know exactly how to edit my videos.
But as you can see in the video file, you can see my funny little face in the top-right corner over there, so you know it's working fine.
Now let's add captions to the video, and finally, let's add some background music as well. I'll set the volume to 5%, just so you can hear what I'm saying and not just the music.
Finally, let's add some metadata to this video file. So stuff like the title, description, the tweet template, etc. Boom, done.
Now finally, let's upload the entire video to YouTube. I'll give it a path to the video file, and the program will do everything else for me.
Now, I didn't add a thumbnail for this video, so we're just going to skip it and let YouTube pick one for us. And there we go, we're completely done now.
If I go over to YouTube, here's the entire video file that I just made. You can see the captions and everything over here as well. And if I go over to my Twitter profile, you can see that the video got shared over here as well.
And that's how I can take a full 30-minute raw video file, do all sorts of fancy edits on it, upload the final file to YouTube, and share it on all platforms in less than 90 seconds.
If you want to use this tool that I've built for yourself and your own content, or you just want to learn more about it, click the link in the description, and it'll take you to the project page and
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