About HyperFrames

Why I built HyperFrames

I'm Leo Xu, founder of HyperFrames. This started as a personal frustration.

While producing short marketing videos, I kept juggling five different AI video tools — Kling for one shot, Google Veo for another, Wan when the others fell short. Each came with its own login, its own credit system, its own quirks, and its own quality ceiling. I'd burn credits in one tool, switch to another, re-learn its prompt dialect, top up a second balance, and try to remember which platform was actually best for the shot I needed.

That constant switching is the problem HyperFrames solves.

What HyperFrames is

HyperFrames is one canvas for every top AI video model. You type a prompt — or drop in an image — and HyperFrames routes it to the best generative video model for the job: Kling, Google Veo, Wan, and more, all reachable from a single screen.

There's only one credit balance. No five wallets, no five subscriptions. You buy credits once and spend them across every model. When a render fails, the credits are automatically refunded — you never pay for a generation you didn't get.

Under the hood, HyperFrames orchestrates leading inference providers (fal.ai, Kie.ai, Replicate) so you get the model you want without the operational overhead of integrating each one yourself.

Why one credit balance matters

The AI video landscape moves every month. A new model launches, an old one gets cheaper, another raises quality. If you're locked into one tool, you're stuck with its roadmap. If you're spread across five, you're managing five accounts and five balances.

One canvas + one balance means you always reach for the best model for the shot — not the one you happen to have credits left in. That's the whole point: pick the output, not the platform.

On paid plans, generated videos are watermark-free and cleared for commercial use. Your renders stay in your library until you delete them.

About the founder