The most important thing to understand is this: your video only contains what was in front of the camera.
But a VR experience needs everything around you — left, right, behind, and above. So when a normal video is converted for VR, a large part of the scene simply doesn’t exist. The system can either stretch what’s there or artificially create new content, and most tools (including ours) choose to stay true to the original video.
🔁 What actually happens during conversion
To make your video work inside a headset, it is mapped onto a 360° format so you can look around. But since the original video doesn’t cover all directions, the missing areas get stretched. That’s why you may notice warped sides or a squeezed top and bottom. This isn’t a bug — it’s a natural result of fitting a limited view into a full environment.
🤖 Why not just use AI to fill everything?
AI can generate the missing parts of a scene, but it comes with trade-offs. It may change faces, distort text, or introduce elements that were never there. For cinematic or creative use, this can work well. But for real-world videos, training content, or anything where accuracy matters, it can lead to unreliable results. That’s why we prioritize keeping your original content intact.
🎯 Final takeaway
The core idea is simple: VR needs a full environment, but your video only provides a partial view.
So the output will either stretch what exists or generate what’s missing. We focus on making your video work reliably in VR without altering reality. If you keep this in mind, the results will make much more sense — and feel much more predictable.
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