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SuperImage

Freemium#25 of 99 in Image Upscaling Software

SuperImage: A privacy-focused upscaler with offline processing and custom model support. Ranked #25 of 99 in Image Upscaling Software by our editors (6.9/10); pricing: Free plan; best for offline users wanting custom model loading.

6.9/10Editor score

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At a glance

Editor score
6.9 / 10
Pricing
Free plan
Best for
Offline users wanting custom model loading
Free plan
Yes
Upscaling method
Ai
Facts checked
22 Sep 2026

Where it wins
- Processes images locally without an internet connection
- Loads custom PyTorch, ONNX, and MNN upscaling models
- Combines upscaling with batch queues and portrait enhancement
Where it doesn't
- The Free plan queues up to 25 images at once
- Custom model loading is limited to the Pro edition
- NPU acceleration is available only on supported Android devices

Our verdict on SuperImage

SuperImage is an image-enhancement application for individual users who want to upscale photos, wallpapers, anime images, and portraits locally. Its core appeal is on-device AI processing without internet access, with versions for Android, Windows, and macOS. Alongside image upscaling, it includes batch queue processing, portrait enhancement, background removal with transparent cutouts, and photo colourisation. That combination makes it suitable for privacy-conscious users and for people handling multiple image types rather than only standard photographs.

The plan structure is straightforward. SuperImage Free is free forever and queues up to 25 images at once. SuperImage Pro uses a lifetime license and adds unlimited image queues, an ad-free experience, the ability to save images anywhere, custom upscaling model loading, and early access to new features. Custom models can be loaded in PyTorch, ONNX, and MNN formats, giving technically inclined users more control over the enhancement workflow than a fixed-model application. Users who only need occasional upscaling may find the Free edition sufficient, while larger queues and model customization point toward Pro.

Platform coverage is practical for a personal image workflow: desktop users can work on Windows or macOS, while Android users also get NPU acceleration on supported devices. Local processing keeps the workflow independent of an online service, which is useful for images that should remain on the device. The product is less suited to users who need a broad cloud collaboration environment, published enterprise controls, or acceleration on unsupported Android hardware. It is a focused choice for offline enhancement, batch processing, and custom model loading, rather than a full image-management or team-production platform.

Your product? Our editors can test SuperImage in depth and publish a review, labelled as paid · from $149/mo →

SuperImage pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 22 Sep 2026.

See plans on superimage.io

All 2 SuperImage plans and prices →

SuperImage fact sheet

Free plan	Yes
Paid from	Not verified
Upscaling method	Ai
Maximum scale	Not verified
Batch processing	Yes
API access	Not verified
Desktop app	Yes
Input formats	Not verified
Deployment	Desktop, Mobile
Platforms	Windows, macOS, Android
Support	Email
Built for	Solo, Small business (editorial estimate)
Pricing	Free plan (source)
Website	superimage.io
Facts checked	22 Sep 2026

Alternatives to SuperImage

See all SuperImage alternatives →

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Featured on iTechGuides

SuperImage is listed in our Image Upscaling Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update