7 best AI video upscalers, models & enhancers (2026)
Quick answer
Start with Magic Hour Video Upscaler for a paid browser workflow, Topaz Video for source-specific desktop restoration controls, or TensorPix for a cloud trial. Use CapCut or DaVinci Resolve when enhancement belongs inside an edit, AVCLabs for another desktop workflow, and Video2X for local open-source processing. Choose by the source defect and required export. A 4K file has more pixels; it does not prove that a blurred face, label, or texture was faithfully recovered.
Upscale a video in your browser
Upload a representative clip and inspect the enhanced output directly in Magic Hour.
Try Video UpscalerMagic Hour publishes this guide and includes its own product in the comparison. Treat the recommendations as editorial guidance from a vendor, and verify the linked first-party product details and your own output requirements before choosing a tool.
Best AI video upscalers by workflow
Tool | Starting use case | What to know before choosing |
|---|---|---|
Upscale a finished clip in the browser | Paid subscription required; 2×, 4×, or a target resolution up to 4K | |
Restore footage with model and parameter controls | Desktop processing and separate cloud offerings; check the current license | |
Evaluate cloud enhancement on a short sample | Free-plan input is limited to 720p; credits and filters affect the quote | |
Enhance a clip while editing a social video | Its documented Enhance quality workflow is in Desktop; confirm feature access | |
Compare desktop enhancement and face processing | Check the hardware requirements, trial export, and selected model | |
Keep enhancement within an editing and color workflow | Paid Studio includes AI features that are not all in free Resolve | |
Run an open-source upscaling pipeline locally | Installation, model selection, and hardware are your responsibility |
Magic Hour publishes this guide. These are workflow recommendations from current product documentation, not quality scores from a common benchmark. Sources were checked September 13, 2026.
Best AI video upscaling models and engines
A product and a model are different layers. Magic Hour, Topaz Video and TensorPix are products or workflows; Proteus, Iris and Real-ESRGAN are processing models or engines inside a product or local pipeline. Choose the product for access, privacy and export requirements, then choose a model for the source defect.
Topaz models: Topaz's current enhancement guide lists Proteus for general enhancement, Iris for faces, Nyx for denoising, Rhea for 4× upscaling, Artemis for denoise-and-sharpen work, Gaia for high-quality or animation sources, and Dione variants for interlaced footage. These are source-specific starting points, not a universal quality ranking.
Video2X engines: The current Video2X command guide exposes Real-ESRGAN and Anime4K upscaling routes; its project also includes Real-CUGAN and RIFE. RIFE is frame interpolation, so it changes temporal cadence rather than replacing an upscaling model. The local route requires compatible hardware and model selection.
SeedVR2 research model: SeedVR2 is an Apache-2.0 video-restoration research model from authors at NTU and ByteDance Seed, with released inference code and model weights. It is a technical local evaluation route rather than a consumer upscaler subscription. Its published results do not prove it will beat every product or model on your footage; compare the same moving source and inspect temporal consistency.
1. Magic Hour: upscale a clip online
Magic Hour's video upscaler accepts MOV and MP4 uploads and offers 2× or 4× scaling, or a target resolution between 720p and 4K. It requires a paid plan. Free access to other Magic Hour tools does not include a free video-upscaling export.
Use it when you have an approved clip and want a larger delivery version without installing desktop software. Upload a short representative segment first, choose the needed output, and inspect the download before processing the full piece.
For a product video, watch the label through motion. Reject an output that makes the package sharper but changes the lettering. For a presenter, inspect eyes and teeth as the face moves. If the underlying animation or lip sync is wrong, fix that step before upscaling.
Check the operation quote in the account and the current plan. The same subscription can include several tools, but usage depends on the actual operation.
2. Topaz Video: choose controls for the source
Topaz Video offers local processing and separate cloud products. Compare the current subscription, cloud allowance, and commercial license; an older one-time price is not a current quote.
Its enhancement documentation distinguishes progressive, interlaced, and previously mis-deinterlaced footage. It documents Dione variants for interlaced sources, Iris for face-oriented recovery, and Proteus for adjustable general enhancement. These names are starting points, not universal winning presets.
Identify the source type before selecting a model. An old camcorder transfer with interlacing needs a different evaluation from a modern progressive phone clip. Keep a copy of the source and compare movement as well as detail.
3. TensorPix: cloud enhancement with a free entry point
TensorPix pricing lists free-plan enhancement for inputs up to 720p and credits available through weekly login. That is an input limit, not a guaranteed output resolution or unlimited processing allowance. Paid plans expand source eligibility and capacity.
Use the free balance to test a short section containing movement and fine detail. Confirm the final output options and quoted charge before uploading a longer source. For more on free access, see the free online upscaler guide.
4. CapCut: enhancement within an edit
CapCut's instructions describe importing footage in Desktop, opening Video > Basic > Enhance quality, and selecting HD, UHD, or 4K. Confirm the feature and export access in your account. A free application download does not establish that every AI operation is free.
This is a practical candidate if the clip already lives in a CapCut project. Compare the enhanced segment before applying the setting across the entire timeline.
5. AVCLabs: a desktop option to compare
AVCLabs Video Enhancer AI offers video enhancement, upscaling, and face-related processing. Check its system requirements and trial conditions before downloading a large source or committing to a batch.
Use an identity-sensitive clip in the evaluation. Keep facial enhancement only if it improves the viewed result without replacing recognizable details. A smoother face is not automatically a more accurate face.
6. DaVinci Resolve Studio: enhancement inside post-production
Blackmagic Design lists Resolve Studio at $295 and includes temporal and AI spatial noise reduction along with additional AI tools. Do not assume those features are included in free Resolve.
Choose this route when editing, color correction, and audio finishing are part of the same job. If the main problem is exposure or noise, correct that before deciding a larger output is necessary.
7. Video2X: local open-source processing
Video2X is a video super-resolution and frame-interpolation framework. It is a candidate for technical users who want to operate the pipeline themselves. Software access does not remove the cost of hardware, setup, or processing time.
Keep frame interpolation and upscaling separate in the first comparison. Changing both at once makes it harder to tell which operation introduced a defect.
How to compare 1080p and 4K fairly
Use the same ten-second source and compare both outputs at the same display size. Include a moving face, product label, or fine texture that matters to your project. A large still preview can conceal flicker and inconsistent detail.
Inspect | Keep | Reject or revise |
|---|---|---|
Faces | Stable eyes, teeth, and identity | Waxy skin or changing facial details |
Text and logos | Original spelling and shape | Invented letters, shimmering edges, or altered marks |
Motion | Consistent detail across frames | Flicker, ghosting, or crawling texture |
Edges | Natural transitions | Bright halos or harsh outlines |
Delivery | Required dimensions, crop, frame rate, and audio | A bigger file that still fails the actual brief |
If the 1080p version already meets the delivery requirement and looks as good at the viewing size, 4K may add cost and upload time without useful improvement.
Estimate a batch before processing it
Record the source duration, target resolution, filter or model, and quoted charge. Multiply by planned attempts rather than assuming every render is a final asset.
For example, twenty 30-second clips represent ten minutes of source. Two full attempts per clip mean twenty minutes processed. Apply the provider's quote to that workload. This is a planning example, not a measured provider price or expected acceptance rate.
If Topaz is on your shortlist, check the current plans and tradeoffs in the Topaz Video AI pricing guide.
Frequently asked questions
It can create a 4K output from a lower-resolution source when the tool supports that setting. The source does not contain all the missing detail, so the result can include generated or estimated features. Inspect what changed, not just the file dimensions.
If the recording is monochrome, evaluate video colorization separately from upscaling. Increasing resolution does not establish the source's original colors.
First identify interlacing, compression, noise, and blur. Compare a model intended for that source type. There is no verified universal preset in this guide; preserve the original and inspect faces and movement.
Finish and approve the core edit first, then evaluate the upscaled deliverable. If the mouth alignment is wrong, return to the lip sync workflow. More output pixels will not repair the timing.
Use upscaling when a larger output is part of the requirement. For noise, blur, exposure, or shake, start with the matching correction in the video enhancement guide.
