Écrit par : Will Tucker
Vertical Video Converter AI: The Practical Guide for Creators Using StreamYard
Last updated: 2026-01-18
If you’re looking for a “vertical video converter AI,” the fastest path for most creators is to record in StreamYard and let AI Clips auto-generate 9:16 captioned highlights directly from your recordings, so you never touch a timeline. When you’re managing multi-platform archives, APIs, or heavy post-production, pairing StreamYard with a dedicated repurposing tool can make sense.
Summary
- StreamYard’s AI Clips automatically converts eligible recordings into vertical (9:16) captioned shorts, directly inside your video library. (StreamYard Help Center)
- Clips are created from recordings between 30 seconds and 2 hours, with typical outputs of 0–5 clips per recording of around a minute each. (StreamYard Help Center)
- Other tools like Opus Clip and VEED add extras such as multi-platform imports, advanced reframing templates, and generative background expansion, usually on paid, credit-based plans. (Opus, VEED)
- For most US creators focused on live shows, podcasts, or webinars, keeping everything in StreamYard minimizes file transfers, subscriptions, and per-minute processing costs.
What does “vertical video converter AI” actually do?
When someone searches for "vertical video converter AI," they’re usually trying to solve one of three problems:
- Turning a landscape recording (like a 16:9 live stream) into a vertical 9:16 clip for TikTok, Reels, or Shorts.
- Having AI pick the best moments so they don’t have to scrub through hours of footage.
- Getting those clips captioned and ready to post without learning a full editing suite.
StreamYard’s AI Clips is built for exactly this: you finish a stream or recording, go to your video library, and click to generate clips. The system analyzes your recording and “automatically generate[s] vertical (9:16) captioned clips with a title.” (StreamYard Help Center)
Other platforms approach this from different angles—some focus on heavy editing controls, others on generative backgrounds or B‑roll—but the core goal is the same: transform long-form horizontal content into watchable, shareable vertical snippets.
How does StreamYard’s AI turn your recordings into vertical clips?
Here’s the workflow in practice:
- Record or go live in StreamYard. Once the broadcast is done and processing finishes, your recording appears in the video library.
- Generate AI Clips. From that recording, you can trigger AI Clips. StreamYard “will analyze your video using AI and automatically generate vertical (9:16) captioned clips with a title.” (StreamYard Help Center)
- Let AI auto-reframe the shot. The feature “automatically reframes your video by tracking who’s speaking and adjusting the crop to keep the speaker in focus,” which is crucial when you originally recorded in landscape. (StreamYard Help Center)
- Use smart eligibility limits. You can generate clips from recordings “between 30 seconds and 2 hours in length,” and you’ll typically see “0–5 clips per eligible recording,” each around a minute. (StreamYard Help Center)
For live moments you know are gold, you don’t even have to wait: saying “Clip that” during the stream marks a highlight so AI can turn that moment into a clip later, without changing anything viewers see on-screen. (StreamYard Help Center)
The result is a set of ready-to-use vertical videos with captions and framing already handled—no manual keyframing or cropping.
How does this save you time and money versus other tools?
The big hidden cost in repurposing is not just software price—it’s time spent exporting files, uploading, waiting on renders, and babysitting credits.
At StreamYard, AI Clips is built into the same place you record and multistream, so there’s no extra upload step. That alone removes an entire layer of work compared with tools that live on separate sites.
There’s also a meaningful difference in how usage is measured:
- StreamYard tracks AI Clips usage per batch of clips you generate from a recording. You can generate AI clips for recordings up to 6 hours long, and that still counts as one generation. (StreamYard Help Center)
- In contrast, Opus Clip uses a credit-based model where a fixed number of credits maps to total video minutes you can process each month. Its free tier is documented as supporting 60 minutes of processing time per month, refreshed monthly. (Opus)
If you’re streaming multi-hour shows every week, the per-batch approach means you can squeeze far more content out of the same subscription without thinking about how many minutes you’ve chewed through. You also avoid situations where a few long webinars suddenly burn most of your credit pool.
And because StreamYard already covers your live production and recording, you’re not stacking an extra subscription just to get a handful of clips from content you already hosted there.
Can AI still let you guide the moments and edit the results?
Most creators don’t actually want AI to “decide everything.” They want AI to handle the boring parts while they stay in control of the highlights and final cut.
With AI Clips, you get a few layers of guidance:
- Prompt-based selection of moments. AI Clips supports prompts so you can nudge the system toward the topics, segments, or themes you care about most, instead of hoping it picks the right quotes. (StreamYard Help Center)
- In-the-moment markers. Saying “Clip that” during your show drops a marker so AI knows this is a candidate highlight. (StreamYard Help Center)
- Editable outputs. Once the clips are generated, you can adjust timing and make light tweaks before downloading or posting.
Imagine hosting a 90-minute live Q&A. You prompt AI Clips with “best audience questions about pricing strategy,” say “Clip that” when someone asks a killer question, and let AI handle the cropping, captions, and timing. You leave with several vertical clips that feel intentional, but you never had to live in a timeline interface.
For most small teams, that balance—AI for leverage, humans for direction—is where the real productivity gains show up.
When do tools like Opus Clip or VEED make sense?
There are real cases where a dedicated external tool is useful, especially if your workflow extends beyond StreamYard recordings.
Opus Clip
Opus is a standalone web app that takes “1 long video, 10 viral clips” as its promise and focuses on generating multiple shorts from a single source. It supports automatic reframing “to 9:16, 1:1, and cinematic 16:9,” and can ingest videos from platforms such as YouTube, Zoom, Twitch, and StreamYard via links or uploads. (Opus, Opus Help)
This can be useful if:
- You’re repurposing archives from many platforms, not just StreamYard.
- You want features like AI B‑roll, deeper editing tools, or API-driven automation.
The trade-off is a separate, credit-based billing model and an extra step of moving recordings over.
VEED
VEED’s browser-based editor and AI Background Expand feature take a different tack: the tool can “automatically extend your video’s background to fit a new aspect ratio,” such as converting a horizontal clip to a vertical format using generative fills. (VEED)
That kind of background expansion can be interesting when:
- You need to maintain a full 16:9 frame inside a 9:16 canvas.
- You want stylized, AI-generated padding around your main subject.
However, Background Expand is noted as available only “to users on new VEED paid plans that include AI credits,” with usage tied to AI credit consumption. (VEED Support)
For many StreamYard-first creators, those extra capabilities are nice-to-have rather than must-have—and they add another subscription plus a more complex pricing model.
How should you think about privacy and data when using AI converters?
If you’re converting live streams or client recordings into clips, how tools handle your footage matters.
With AI Clips, we explicitly state that “we do not use your recordings or personal data to train any AI models,” and that the analysis is scoped to your video. (StreamYard Help Center)
Other platforms publish their own privacy policies and may have different approaches to model training or data retention, especially around generative features like background expansion or AI B‑roll. It’s worth reviewing those documents any time you’re feeding in client work or sensitive calls.
For a lot of US-based businesses and agencies, that explicit non-training stance is a deciding factor when choosing where to run AI conversions.
What we recommend
- Start inside StreamYard: If you already record or multistream with us, use AI Clips as your primary vertical video converter for 9:16, captioned highlights.
- Lean on prompts and “Clip that”: Guide the AI toward the right topics and mark great moments live so your clips feel curated, not random.
- Add external tools only for edge cases: Bring in Opus Clip or VEED when you truly need multi-platform archives, generative backgrounds, or API-heavy automation—not just because they look feature-rich.
- Optimize for fewer tools, more output: The more of your workflow you can keep in one place—recording, live production, and AI repurposing—the more vertical content you’ll actually publish each week.