Can I enlarge an image today?

Yes, with the resize tool — but it uses standard interpolation, so the result is larger and softer, not more detailed.

Does upscaling recover lost detail?

No. It predicts plausible detail. That usually looks better, but it is invention, not recovery — which matters for anything evidential.

Will it work on my phone?

That is exactly what the capability check exists to determine. Where inference is not viable, the feature stays disabled rather than crashing the tab.

AI lokalDirencanakan

Upscale an image

Planned as a local AI tool: enlarge an image with detail that plain interpolation cannot produce.

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AI lokal

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This page has not been translated yet and is shown in English. It is excluded from search indexing for this language until it has been.

Conventional resampling can make an image bigger but not sharper — it has no information to add, so it spreads the existing pixels more thinly. Super-resolution models predict plausible detail instead, which is why an AI upscale looks different in kind from a bicubic one.

Super-resolution models are small enough to be a realistic local-AI candidate, which is why this is planned as Tier B rather than a cloud call. It ships when on-device inference is dependable.

Apa yang Anda dapat

2× and 4× targets
The standard super-resolution factors, chosen per image.
On-device inference planned
A small enough model to run in a browser with WebGPU or WebAssembly.
Tiled processing
Large images processed in tiles to keep memory use bounded.

Cara kerjanya

1
Capability check
WebGPU or WebAssembly availability is confirmed before the feature is offered.
2
Tiled inference
The image is processed in overlapping tiles inside a Web Worker.
3
Reassemble
Tiles are recombined onto the canvas and the result enters the history.

Spesifikasi

This tool is not implemented yet. Nothing is processed, no image is uploaded, and no result is produced. The page documents the intended workflow and is excluded from search indexing until the feature actually works.
Planned as Tier B (local AI): ONNX Runtime Web with tiled inference.

Mengapa memakai KaiConvert

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Apa yang Anda dapat

2× and 4× targets

On-device inference planned

Tiled processing

Cara kerjanya

Capability check

Tiled inference

Reassemble

Spesifikasi

Mengapa memakai KaiConvert

Pertanyaan umum

Can I enlarge an image today?

Does upscaling recover lost detail?

Will it work on my phone?

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