Unsqueeze
Intelligent video upscaling powered by Metal
Unsqueeze launched on January 29, 2024 with 126 votes, #406 of 4,437 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Powered by Metal on Apple Silicon, Unsqueeze uses the latest and greatest upscaling algorithms, and runs entirely on the GPU, making higher quality videos (8k+ resolution) faster than other upscaling tools. Available on iOS and macOS.
Download Unsqueeze: AI Video Upscaler by Finn Voorhees on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Unsqueeze: AI Video…
As other have said, the results are nearly instant but are about the same as just increasing the window size. Things don't seem clearer, just bigger. Recently, a bug has been introduced where the exports won't play in other applications, so I can no longer watch the videos this produces. An update purports to fix this, but the issue remains. So, for now it's a free/$9.99 window resizer which produces videos you can't watch. For ten dollars I'm not mad. I think there is a lot of potential here and I'm interested in seeing where it goes. That said, I hope the export bug is fixed sooner rather than later because as of now, it's just broken. As other have said, the results are nearly instant…from apps.apple.com
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fx-upscale – Metal-powered spatial video upscaling2023 · github.com · ▲19Hi! This is a quick lil CLI I've created for upscaling videos using Apple's MetalFX (https://developer.apple.com/documentation/metalfx). There are a few improvements I plan to make, such as HDR support and a progress bar, but if it sounds interesting, please give it a try and let me know what you think!
Apple's SHARP running in the browser via ONNX runtime webMay 2026 · github.com · ▲185Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (https://arxiv.org/abs/2512.10685). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP. What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on…
- RTReal time AI Video Upscaling in the browser2021 · vectorly.io · ▲24
The story of Vectorly — four pivots, three years, and a Hopin acquisition. From video compression to AI upscaling to virtual backgrounds. Founded 2018, acquired by Hopin December 2021.
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