4K Video Upscaler
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What's new / 2026.09.18

Version 2026.09.18 ·

First release: upscale video to 1080p, 2K or 4K in your browser

4K Video Upscaler went live on 18 September 2026. Choose a video on the home page and the graphics chip of your computer or phone upscales it to 1080p, 2K or 4K through WebGPU. There is nothing to install, and the video is never uploaded.

The finished view: the original on the left, the Pro result on the right, a gold divider between them; the panel lists the output size, format, file size and the Download button

How it compares with online upscalers and desktop apps

Most online upscalersDesktop appsThis upscaler, in your browser
Where your video is processedOn their server, after an uploadOn your computerOn your computer or phone; never uploaded
Before you startCreate an accountDownload and install; often a paid licenceOpen the page; nothing to install
WatermarkOften on the free planNoneNone
LengthOften capped, or billed per minuteAnyAny; progress is saved during the run
How long it takesQueue time plus the server's speedYour computer's speedYour device's speed, shown before you start
On a phoneWorks, with an uploadNot availableRuns in the phone's browser

How to upscale a video to 4K

  1. Choose a video.

    Press "Choose video" on the home page, or drag the file onto the box. MP4, MOV, MKV and WebM files open at any length; DVD VOB, old AVI and camcorder MTS files open too since version 2026.09.27. The page reads the resolution, frame rate and length on your device, then opens the video next to the Upscale panel.

    The home page: a drop box with a Choose video button, under four points: no signup, no watermark, no upload, no length limit
    The home page.
  2. Pick a size and a quality, then preview.

    Choose 1080p, 2K or 4K under Output, and Fast, Pro or Ultra under Quality. For a video watched only on a phone, 1080p looks the same as 4K and finishes sooner. Pause on a frame you care about and press "Preview this frame". It shows that frame before and after, and how long the whole video will take on this device. The icons after "Can it run?" open an AI assistant with your device, the clip, your settings and the estimate already typed in, if you want a second opinion; the video itself is never sent.

    A blocky 480p video with the preview area marked on the eyes, next to the Upscale panel: a Pro before/after preview at the top, then Preview this frame and Start with its time estimate
    The preview at the top of the panel shows the marked area before and after. The time for this device is next to Start.
  3. Start, then compare and download.

    Press Start. You can pause and resume at any time. When it finishes, the original is on the left and the result on the right; drag the divider to compare the same frame, then press Download. A long video is saved while it runs, so if you close the tab halfway, the home page offers to continue it.

Fast, Pro or Ultra for anime, downloads and old film

QualityWhat it doesBest forOpen with
FastSharpens edges and lines in 2× steps and leaves texture, colour and grain aloneClean camera footage, anime, screen recordings, AI-generated videoFast → 4K
ProRemoves compression blocks and light noise while it upscales 4×Downloaded or re-shared video, 480p–720pPro → 1080p
UltraClears heavy grain and sharpens smeared texture, a deeper 4× repair than ProOld film, heavy grain, the worst 360p–480p sourcesUltra → 1080p

To compare two settings, pause on a frame, press "Preview this frame", switch the quality and press it again. For close-ups of faces, start with Fast; if there are compression blocks, try Pro and check the faces in the preview.

Before and after on three clips

Three clips, one for each quality setting, upscaled by this page. The left side is the source enlarged the ordinary way, as a video player shows it; the right side is the result.

Before · 480pFast → 2K
Fast, from a clean 480p source to 2K. Lines and eyelashes get crisper, and the texture stays as it was.Komekami! Girl's PV (2026), official channel, CC BY 4.0 via Wikimedia Commons
Before · 480p, blockyPro → 2K
Pro, from a blocky 480p download to 2K. The compression blocks are gone and the lines are clean again.Komekami! Girl's PV (2026), official channel, CC BY 4.0 via Wikimedia Commons; we re-encoded it at 220 kbit/s to look like a poor download
Before · 360p, film grainUltra → 1080p
Ultra, from a grainy 360p copy of a 1943 film to 1080p. The grain is gone, and outlines and whiskers are sharp again.Momotarō no Umiwashi (1943), Public Domain Mark 1.0 via Internet Archive

Which browsers and devices it runs on

DeviceBrowser
Windows, macOS, ChromeOSChrome or Edge 113 or newer
MacSafari 26
Android phoneChrome 121 or newer on Android 12 or newer

All of them support WebGPU, which lets a web page use the graphics chip. A link opened inside an app such as WeChat or TikTok uses the app's built-in browser; open it in Chrome or Safari instead.

How AI upscaling runs in your browser, on your own GPU

From the first release, version 2026.09.18, 4K Video Upscaler upscales video inside your browser, on this computer's or phone's own graphics chip, so the video is never uploaded. All three quality settings run on SR Engine, a WebGPU inference engine built for this upscaler: there is no general machine-learning runtime to download, and each setting downloads its model file the first time it is used, 19 KB for Fast and at most 2.4 MB.

One memory pool

112 Bof GPU memory per pixel for the large 2× network

Each frame needs less graphics memory

All of a frame's intermediate results live in one GPU buffer, sliced by how long each layer's output has to last; once its last reader is done, the slice is reused. The heaviest step of 720p to 4K needs 520 MB for the whole frame.

The per-pixel figure counts the network's intermediate results; the 520 MB also holds the input, the output and the weights. MB is 10⁶ bytes.

Banded inference

5 bandsfor the heaviest step of 720p to 4K when the GPU memory budget is 128 MiB, WebGPU compatibility mode's limit

4K on a small memory budget, identical to a whole-frame run

When a frame does not fit the memory budget, the engine cuts it into horizontal bands, each carrying the extra rows its layers read, and the output matches the whole-frame run bit for bit. A phone gets a budget of only 96 MiB and still reaches 4K.

Half precision

2.4×faster than 32-bit for the heaviest restoration network at 720p, on chips with shader-f16

16-bit floats where the chip supports them

With shader-f16 the whole network runs in 16-bit floats, otherwise in 32-bit. Against the PyTorch reference, 16-bit output measures 54–70 dB PSNR and 32-bit output 93–100 dB.

The tests fail below 50 dB for 16-bit and 60 dB for 32-bit.

Every pixel computed

100%of output pixels computed by the network, edges included

Edges computed, no mid-tone lift

The frame's edges are padded with zeros, so every output pixel is the network's own. Frames reach WebGPU through the browser's 2D path, because importing a video frame directly in Chrome lifts the mid-tones by 4–8/255 in 5 of 7 test clips.

Model files

19 KBfor Fast's model, 2.4 MB for Ultra's; each downloads once

One small file per quality setting, nothing else to install

Each model is a self-describing file: the network's structure in the header, the weights as 16-bit tensors. The engine plans memory, kernels and bands from the header. A general machine-learning runtime for the browser downloads 10–20 MB of WebAssembly before its first frame.

Checked against a reference

65GPU parity cases, run in each of 3 setups: Chrome on Metal, Chrome's software renderer and Safari's WebKit

Every shipped model is checked against known right answers

A plain TypeScript implementation of the networks defines what correct means, and each shipped model's PyTorch outputs are the answers it must match.

A build fails when a frame takes more than 10% longer than the recorded baseline.

SR Engine vs an open-source WebGPU upscaler, measured on one computer

PropertySR EngineOpen-source WebGPU upscaler
GPU memory per pixel, large 2× network112 B368 B
1080p → 4K, large 2× network25.9 ms per frame63.3 ms per frame
4× restoration networksSupported2× only
Precisionf16 where available, else f32f32 only
Frame edgesEvery pixel computedLast columns skipped, edge colours wrap around
Android compatibility mode (OpenGL ES 3.1)Works, in bands within its 128 MiB limitNot supported
Model files19 KB to 2.4 MB eachThe same networks as JSON weights

SR Engine is the engine of 4K Video Upscaler. Both engines measured by us with the same networks on Apple M4 (10-core GPU), Chrome on Metal: ours on 2026-09-17, the open-source upscaler on 2026-09-15.

Questions

Is my video uploaded?
No. The video is decoded, upscaled and encoded inside your browser, and the result stays in the browser's storage on your device until you download it. The page downloads only its own files and, the first time you use each quality setting, its model.
How long does it take?
It depends on your graphics chip, the quality setting and the length of the video. Before you start, the page measures your device and shows the time next to Start. For a long video, try a short part first.
Is it free? Do I need an account?
It's free, and there is no account. The result has no watermark and there is no length limit. The upscale runs on your own graphics chip, so there is no server time to charge for.
Is the result real 4K?
Yes. At 4K the long side of the video is 3840 pixels, so a 16:9 clip comes out at 3840 × 2160. How much detail it shows depends on the source.
Can I upscale a full-length movie?
Yes, at any length. A long run saves finished pieces in the browser as it goes, so you can close the tab halfway and continue it from the home page.
Which formats does it open?
MP4, MOV, MKV and WebM at the first release. DVD VOB, old AVI and camcorder MTS files open from version 2026.09.27 on.

Try itHow it works

Screenshots and clips: Komekami! Girl's PV (2026), official channel, CC BY 4.0 via Wikimedia Commons; Momotarō no Umiwashi (1943), Public Domain Mark 1.0 via Internet Archive. Screenshots: the page on 28 September 2026.