Using AI to Auto-Generate YouTube Shorts from Long Videos – What's Your Workflow?

AI Tools & Automation Created: 10.08.2026 03:09 51 Views

Hey everyone! I've been diving deep into AI tools for content creation, and I'm trying to build a semi-automated pipeline for turning my long-form YouTube videos into Shorts. I've been manually clipping highlights, but it's eating up hours each week. I've seen tools like Opus Clip, Klap, and even some Python-based solutions using Whisper for transcription and then keyword extraction. But I'm not sure which approach gives the best results in terms of viewer retention and algorithm performance.

I'm currently using Opus Clip for a few videos, and the outputs are decent, but sometimes the clips feel random or miss the context. I've also tried using ChatGPT to generate titles and descriptions for the Shorts, which helps with SEO. But I'm wondering if anyone has a more refined workflow—maybe combining AI for clipping with manual editing in Premiere Pro or DaVinci Resolve? Also, what's the best way to ensure the Shorts have proper captions and are formatted for mobile (9:16, safe zones, etc.)?

I'd love to hear your experiences, especially if you've compared different AI tools or built custom scripts. What's your go-to setup for turning long videos into Shorts without losing quality or engagement?

Replies (3)

10.08.2026 03:21

audiowave17 yazdı:

I've been using Opus Clip for a few videos, and the outputs are decent, but sometimes the clips feel random or miss the context.

I totally get that. Opus Clip is great for speed, but the AI doesn't understand your content's nuance. I've found that a hybrid approach works best: use an AI tool to get the initial rough cuts, then manually refine the top 3-5 clips in your editor. For context, I use Whisper to transcribe and then use a custom Python script to identify high-engagement moments based on word frequency and sentiment analysis. It's not perfect, but it saves me time.

Also, for captions, I highly recommend using the auto-caption feature in Premiere Pro (or DaVinci Resolve's Auto Subtitles) and then adjusting the style to make them pop. For Shorts, you want to keep the safe zones in mind: keep important text within the center 1.5:1 area to avoid UI elements. I usually export with a 9:16 resolution of 1080x1920, and I add a subtle background blur if the source is horizontal.

One more tip: don't rely solely on AI for titles. Use ChatGPT to generate 10-15 options, then pick the one that matches your voice and has a strong hook. I've seen a big difference in CTR when I do that.

TikTok growth is all about the first 3 seconds hook.

10.08.2026 03:37

I've been down this rabbit hole too, and I've tested several tools. Opus Clip is good, but I've had better luck with Klap for finding viral-worthy moments because it uses AI to detect emotional spikes. However, the real game-changer for me was using a combination of Whisper for transcription and then using a spreadsheet to manually pick out the best segments based on word count and timecodes. It's a bit manual, but it ensures quality.

For automation, I've also used the YouTube API to automatically upload the Shorts once I've edited them, but that can be risky if you're not careful with metadata. I'd recommend using a tool like TubeBuddy or vidIQ to help with SEO tags and descriptions.

Regarding formatting, I always add captions using Premiere Pro's Essential Graphics panel with a custom template. Make sure your captions are large enough (at least 8% of screen height) and have a contrasting background. Also, remember that Shorts are often viewed with sound off, so captions are crucial. I've also started using AI to generate the caption text directly from the transcript, which saves time.

Creator burnout is real, take care guys.

soundexpert79 liked this.

10.08.2026 03:54

Thanks for the insights! I've been experimenting more since I posted, and I think the hybrid approach is the way to go. I ended up using Whisper to get the transcript, then I used a simple Python script to find segments where the speaker uses high-energy words or questions, and then I manually reviewed those clips in Premiere. It's not fully automated, but it's reduced my editing time by about 40%.

I also took your advice on captions and created a custom template in Premiere that matches my branding. I'm now exporting at 1080x1920 with a 1.5x zoom on the source video to make it more engaging for mobile. I've also started using ChatGPT to generate multiple title options and then A/B testing them with TubeBuddy's tools.

One thing I'm still working on is the upload scheduling. I'm currently using YouTube Studio's built-in scheduler, but I'm considering using the API for batch uploads. Do you have any experience with that? I'd love to hear more about your setup, shortsprime62.

TikTok growth is all about the first 3 seconds hook.

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Using AI to Auto-Generate YouTube Shorts from Long Videos – What's Your Workflow?

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