AI Video Upscaler

Real detail back at 4x, holding steady across every frame — the Topaz video engine beside the generators.

Upscale your first clip See the image upscaler

The 31 models on this page are already included, with no separate subscription per tool. 14,500+ real generations already delivered on the platform. Updated Jul 6, 2026

The 4x result

From a 320px source

The source, honestly

320px, starved bitrate

The finishing suite

Where delivery happens

Same frame. Both ways.

Left: a frame from the 320-pixel source enlarged the ordinary way — the blocks just get bigger.

Right: the same frame from the 4x reconstruction — ears, coat, and edges rebuilt.

Both crops come from one crushed, bitrate-starved file run through this platform's own Topaz video node.

The same corgi frame cropped identically: blocky plain enlargement on the left, Topaz reconstruction with clean edges on the right, on FluxoKit — Same frame, both ways
Enlarged vs reconstructed

Three ways to use video upscaling

Rescue old footage

Phone clips, camcorder archives, compressed downloads — rebuilt at 4x.

Master generated video

Any engine's clip becomes delivery-resolution in one node.

Prep for big screens

Projectors and TVs punish soft files; reconstruction fixes that.

Upscale your first clip

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Corgi clip reconstructed to 1280px from a crushed 320px source by Topaz video upscaling on FluxoKit

The 4x result

From a 320px source

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The deliberately crushed 320-pixel source clip shown at its real quality, on FluxoKit

The source, honestly

320px, starved bitrate

Full frame of the crushed source enlarged plainly, soft and blocky, on FluxoKit — Plain enlargement
The blur gets bigger

The same frame rebuilt at 4x by Topaz video upscaling with sharp fur and edges, on FluxoKit — Reconstructed
The same frame at 4x

Box of miniDV tapes and a camcorder beside a modern laptop, generated on FluxoKit — The archive
Footage worth saving

The whole frame agrees

Zoomed out, the difference holds: the plain enlargement stays soft everywhere, the rebuild is delivery-grade.

And because this is video, that reconstruction repeats consistently across every frame of motion.

The result clip in the hero is the actual output file.

Generate small, deliver big

The source clip was itself generated on this canvas — the everyday pipeline is create at working resolution, then reconstruct the keeper for delivery.

Old phone footage, compressed exports, and screen captures ride the same node.

One canvas covers the making and the mastering.

Video editor at a color-grading suite with a bright frame on the monitor, generated on FluxoKit — The finishing suite
Where delivery happens

One canvas, every engine

the jump this page's demo made

320px

the width of the crushed source

14,500+

real generations delivered

Recovered detail, up close

Crops straight from the rebuilt frame — detail the tiny source did not appear to contain.

video[data-hub-lazy-video-deferred]{display:none!important}

The 4x result

From a 320px source

video[data-hub-lazy-video-deferred]{display:none!important}

The source, honestly

320px, starved bitrate

Close crop of the rebuilt frame showing recovered ear and eye detail, on FluxoKit — Recovered
Ears and eyes

Watch the featured clip on its dedicated video page →

Upscale your first clip

How to upscale video on FluxoKit

Drop the clip
Uploaded or generated — it lands on the canvas as the source.
Pick the factor
Run the Topaz video node and compare the same frame at 100%.
Deliver big
Export for the screen the footage was always meant for.

Upscaling video is harder than upscaling photos: the detail must come back and hold still across every frame. This page ran the honest version of that test on the FluxoKit canvas — a clip crushed to 320 pixels wide and a starved bitrate, then reconstructed at 4x by the platform's own Topaz video node. The comparison below is the same frame, the same crop, both ways.

When people search for ai video upscaler, they want the same-frame receipt. This page zooms in.

Direct Answer

Use an AI video upscaler when the motion is right but the resolution is not: old phone footage, compressed exports, screen captures, and generated clips headed to bigger screens. On FluxoKit, drop the clip on the canvas, run the Topaz video node at the factor you need, and export the rebuilt file. From $14/month, on the same canvas as the engines that generate the footage in the first place.

Same Frame, Both Ways

The comparison pair takes one frame from the crushed 320px source and the same frame from the 4x reconstruction, cropped identically. Left, the plain enlargement — blocks and smear. Right, the rebuild — fur texture, floor grain, and edges the small file did not appear to contain.

Generated, Then Delivered

The source clip was itself generated on this canvas, which is the everyday pipeline: create at working resolution with any video engine, pick the keeper, and reconstruct it at delivery resolution. One canvas covers both halves.

How to Upscale Video on FluxoKit

Drop the clip — uploaded or generated — on the canvas.
Run the Topaz video node and pick the upscale factor.
Compare the same frame at 100% before and after.
Export for the screen it is headed to.
Batch the archive the same way.

Related workflows

Topaz Upscale — the image side, with its own 4x receipt.
AI Video Generator — the engines that make the footage.
AI GIF Generator — where this page's source clip came from.

Why upscale video on FluxoKit

The engine is Topaz. The pipeline — generate, reconstruct, deliver — is what FluxoKit adds.

Reconstruction, not stretching

The same-frame pair is the argument — edges return, blocks vanish.

Stable across motion

Video demands consistency frame to frame; the result clip shows it.

Beside the generators

Generate with any engine and master the keeper without leaving the canvas.

Images too

The same reconstruction approach covers photos on the Topaz image node.

Proof on the page

The hero clip is the actual 4x output of the crushed source beside it.

30-day guarantee

Upscale real footage for 30 days. Refund requests are governed by the first-subscription guarantee and Refund Policy.

31 models available in the canvas

Every model below is live in the FluxoKit studio. Each link opens its technical page with parameters, limits, and real generation examples.

Frequently asked questions

What is an AI video upscaler?

An AI video upscaler raises a video's resolution by reconstructing detail rather than stretching pixels — fur, texture, and edges return sharp across every frame. On FluxoKit it runs on the Topaz video engine as a canvas node: drop the clip, pick the factor, get the rebuilt file.

How real is the demo on this page?

Fully: a generated clip was deliberately crushed to 320 pixels wide at a starved bitrate, staged, and run through the platform's own Topaz video node at 4x. The comparison shows the same frame, same crop, both ways.

What footage benefits most?

Old phone and camcorder videos, compressed downloads, screen recordings, and AI-generated clips headed for delivery at higher resolutions. Anything where the motion is right but the pixels are not.

Does it work with generated video?

That is the natural pipeline here: generate with any video engine on the canvas, then upscale the keeper for delivery. Generate at working resolution, reconstruct at delivery resolution.

Is the AI video upscaler free?

FluxoKit does not sell a free trial. Topaz video upscaling runs inside the platform plan from $14/month with monthly credits, backed by a 30-day first-subscription satisfaction guarantee, subject to the Refund Policy: upscale real footage for a month, and refund requests are governed by the first-subscription guarantee and Refund Policy.

Next step

Access 135 AIs in one canvas, without subscribing to each one.

Monthly credits with no separate subscription per model. New purchases are temporarily unavailable; contact support for billing help.

Upscale your first clip See the image upscaler

VIDEO UPSCALING ON FLUXOKIT

Upscale your first clip

Real detail back, steady in motion — one canvas, one plan.

Upscale your first clip

Same frame. Both ways.

Three ways to use video upscaling

The whole frame agrees

Generate small, deliver big

One canvas, every engine

Recovered detail, up close

How to upscale video on FluxoKit

Direct Answer

Same Frame, Both Ways

Generated, Then Delivered

How to Upscale Video on FluxoKit

Related workflows

Why upscale video on FluxoKit

31 models available in the canvas

Frequently asked questions

What is an AI video upscaler?

How real is the demo on this page?

What footage benefits most?

Does it work with generated video?

Is the AI video upscaler free?

Access 135 AIs in one canvas, without subscribing to each one.

Related content

Upscale your first clip