Low resolution → cleaner 2× output

AI Video Upscaler

Increase video resolution without asking the model to redesign your footage. AI Video Upscaler analyzes frames, reconstructs edges and texture, and produces a 2× output while the source action, composition, and visual identity stay the priority.

Upload an external source video and generate with Topaz Video Upscale. The workflow is intentionally prompt-free because quality enhancement is not a creative restyling request—and this page states the real 2× capability instead of promising unsupported 4K output.

Direct video uploadPrompt-freeTrue 2× output

Use AI Video Upscaler

Resolution enhancement workspace

Upload and enhance with AI Video Upscaler

This AI Video Upscaler function starts with the file, not a prompt. Upload the source video, confirm the 2× upscale factor, generate, and compare texture, edges, motion stability, and compression artifacts in the result.

Loading available Kie models...

AI Video Upscaler · connected video studio

Continue with another video workflow

Keep AI Video Upscaler as your current workflow, then move into generation, animation, motion transfer, restyling, extension, or restoration without leaving Artaivo.

Text to Video AI

Prompt first

Direct a complete scene from a written idea

What this search really means

Resolution recovery, not visual reinvention

AI Video Upscaler searches are transactional: users want to upload low-resolution footage, increase output dimensions, reduce visible artifacts, compare the result, and download. A prompt would add friction without helping that core job.

Temporal quality scan

Signal diagnosticsPass / 03

AI Video Upscaler · 01 / Scale

Double the frame dimensions

The current Topaz model produces a 2× upscale. AI Video Upscaler exposes that real factor clearly rather than using “4K” as a generic marketing promise.

AI Video Upscaler · 02 / Reconstruct

Recover readable edge detail

Super-resolution can rebuild plausible texture around faces, feathers, typography, product edges, and landscape detail while reducing the blocky look of enlargement.

AI Video Upscaler · 03 / Stabilize

Judge detail across motion

A single sharp frame is not enough. A useful AI Video Upscaler result keeps edge treatment and reconstructed texture stable from one moving frame to the next.

How AI Video Upscaler works

A focused path from source to 2× video

AI Video Upscaler removes decisions that do not belong to resolution enhancement. There are no style cards or mandatory prompts—only the source, the supported factor, and the output review.

Enhancement pipeline

01pass

AI Video Upscaler · 01

Upload the best source

Start from the least compressed master you have. A clean 720p source usually contains more recoverable evidence than a copy repeatedly downloaded from social platforms.

02pass

AI Video Upscaler · 02

Generate the 2× upscale

The Topaz workflow doubles the input frame dimensions. Processing cost depends on the model service, and no prompt is required to begin reconstruction.

03pass

AI Video Upscaler · 03

Compare motion and detail

Inspect moving edges, facial features, fine patterns, gradients, and compression noise. Download only after checking several moments, not just the poster frame.

Enhancement examples

Use before-and-after views that reveal real quality changes

AI Video Upscaler evaluation needs exact alignment. These examples compare the same subject, pose, and frame so sharper reconstruction is not confused with a different image.

Aligned old family video frame before and after detail restoration

AI Video Upscaler example

Restore family footage

Soft home-video detail becomes easier to read while the child, pose, garden, and nostalgic character of the source remain unchanged.

Aligned low-resolution and sharp wristwatch video frame comparison

AI Video Upscaler example

Clarify product detail

Metal edges, dial texture, and small shapes become cleaner without changing the watch design, camera angle, or studio lighting.

Aligned pixelated and restored yellow tram video frame at night

AI Video Upscaler example

Clean compressed night footage

A matched tram frame reveals how reconstructed contours, windows, rails, and reflections can become clearer without replacing the city scene.

Aligned soft and sharpened hand-drawn fox animation frame in snow

AI Video Upscaler example

Recover animation linework

Clean contours and snow texture improve on the enhanced side while the fox pose, palette, drawing style, and composition remain identical.

Quality controls

Know what upscaling can and cannot recover

AI Video Upscaler creates plausible high-resolution detail from the evidence in your source. It can improve clarity and reduce visible artifacts, but it cannot guarantee the exact recovery of information that was never recorded.

AI Video Upscaler control

Start before export damage

Use the original camera file or highest-quality edit master when possible. Repeated compression removes subtle texture that no enhancement model can verify.

AI Video Upscaler control

Watch faces and small text

These regions are sensitive to reconstruction errors. Compare multiple frames and avoid treating newly invented micro-detail as documentary truth.

AI Video Upscaler control

Check temporal consistency

Pause at several points and scrub through motion. Fine detail should not shimmer, crawl, or change shape sharply between adjacent frames.

AI Video Upscaler control

Use 2× for a clear purpose

Upscale for a larger delivery frame, cleaner crop, presentation screen, or editing headroom—not because every source automatically benefits from maximum enlargement.

Use AI Video Upscaler for fidelity and resolution

This workflow protects content while increasing resolution. Choose a creative Video to Video AI workflow when you want a new style, lighting scheme, material, or scene—not just a cleaner output.

Use AI Video Upscaler for

Double the dimensions of an uploaded video
Improve readability of edges and fine texture
Prepare lower-resolution footage for a larger delivery frame

Use another workflow for

Changing footage into animation or a new visual style
Adding new action after the clip ends
Guaranteed recovery of information missing from the source

Keep AI Video Upscaler in a focused workflow

Video to Video AI

Use creative transformation when quality is not the only change.

Image Upscaler

Increase detail in a still image instead of a video.

Image to Video AI

Create motion from a high-quality source frame.

AI Video Upscaler questions, answered

What does an AI Video Upscaler do?

An AI Video Upscaler increases output resolution and reconstructs plausible edge and texture detail from lower-resolution frames. The goal is a cleaner, larger video without creative restyling.

Does this AI Video Upscaler support 4K?

The default external-upload workflow currently provides a 2× Topaz upscale. Whether that reaches 4K depends on the source dimensions; the page does not promise a fixed 4K result for every input.

Do I need a prompt to upscale a video?

No. AI Video Upscaler uses the frames themselves as input evidence. The function hides the prompt and exposes only the relevant source upload and supported 2× setting.

Can AI upscaling fix very blurry footage?

It may improve perceived clarity, but severe focus blur, motion blur, or compression can remove source information permanently. Reconstructed detail is plausible rather than guaranteed historical recovery.

How should I judge the upscaled result?

Compare the same moments at full size. Check faces, moving edges, fine patterns, gradients, and small text across several frames for shimmer, ringing, or inconsistent detail.

Make the source easier to see