How do I upscale an image with the AI upscaler?

Drag and drop a JPEG, PNG, or WebP photo onto the upload zone (or click to browse or paste with Ctrl+V / Cmd+V). The tool automatically enlarges it 2× using AI super-resolution — the model downloads once (~34 MB) and runs entirely in your browser, so it is free with no upload. When it finishes, click Download to save the enlarged PNG or JPEG to your device.

Is the AI Image Upscaler free?

Yes — enlarging photos 2× with AI super-resolution is completely free, forever. No account, no sign-up, no trial, and no per-image charge, no matter how many images you process. The model downloads once (~34 MB), then runs entirely on your device via WebAssembly; your images are never uploaded to any server. The site is ad-supported.

What is AI image upscaling (super-resolution)?

AI super-resolution uses a deep neural network to analyse detail patterns in an image and reconstruct high-frequency detail when enlarging — far better than traditional bilinear or bicubic interpolation. This tool applies 2× super-resolution, which doubles the width and height and so quadruples the total pixel count.

Does the tool upload my image to a server?

Never. The AI model runs in your browser via WebAssembly and images never leave your device — that is the core design principle of this tool, and it is enforced in code by a runtime network guard that blocks any attempt to send your file off-device. You can verify it yourself: open DevTools → Network and watch — nothing is uploaded.

Does it require an internet connection?

Only for the first-time model download (~34 MB). Once downloaded the model is stored in the browser Cache API and the tool works fully offline, even without a network connection.

How long does the first run take?

The first run has two stages: (1) model download (roughly 3–15 seconds depending on connection speed) and (2) ONNX Runtime initialisation (1–3 seconds). After that, inference per image takes about 3–15 seconds depending on image size and device performance. Subsequent runs skip the download entirely and start faster.

How much storage space does the AI model use?

The super-resolution model is approximately 34 MB. It is downloaded once and then cached by the browser Cache API for offline use — it does not occupy space on your local disk, only in browser cache storage.

Which image formats are supported?

Input supports JPEG, PNG, WebP, and AVIF (browser-decoded). Output is PNG (maximum quality) or JPEG.

How much larger is the upscaled image?

2× upscaling doubles both the width and the height, so the result has 4× the total pixel count — for example, a 512×512 image becomes 1024×1024. Because the AI reconstructs detail rather than simply stretching pixels, the enlarged image looks sharper than bicubic interpolation at the same size.

Can I use it offline?

Yes. After the first download the model is cached in the browser Cache API and inference requires no network connection at all. Even after closing and reopening the tab the model stays cached — no re-download needed.

AI Image Upscaler — 2× Super-Resolution

Upscale Image is a 100% free AI super-resolution tool that enlarges photos 2× (doubling width and height) using a neural network that runs entirely on your own device — your images are never uploaded to any server. It is free forever with no sign-up. The model downloads once (~34 MB) on first use, is cached in your browser, and then runs fully offline on every subsequent visit.

AI super-resolution upscaler — 2× enlargement, free forever, model runs locally in your browser, offline after the first download, images never uploaded.

100% Free — Forever. No fees, ever.
Private: files are processed locally in your browser and never sent to a server.
No upload, no account, no sign-up.

Open the upscaler
Visit the AI Upscale page. It is free with no sign-up, no installation, and no account.
Load your image
Drag and drop a JPEG, PNG, or WebP image onto the upload zone, click to browse, or paste with Ctrl+V / Cmd+V. Your image stays on your device — it is never uploaded.
Wait for the AI model to load
On first use, the super-resolution model (~34 MB) is downloaded to your browser once. Subsequent runs use the cached copy with no download at all.
Run 2× super-resolution
Upscaling starts automatically and enlarges your image 2× (double the width and height). The AI model runs entirely on your device using WebAssembly and WebGL; processing takes a few seconds depending on image size.
Download the result
Click Download to save the 2× upscaled image directly to your device. The result is a full-resolution PNG or JPEG — your original is never modified.

How do I upscale an image with the AI upscaler?: Drag and drop a JPEG, PNG, or WebP photo onto the upload zone (or click to browse or paste with Ctrl+V / Cmd+V). The tool automatically enlarges it 2× using AI super-resolution — the model downloads once (~34 MB) and runs entirely in your browser, so it is free with no upload. When it finishes, click Download to save the enlarged PNG or JPEG to your device.
Is the AI Image Upscaler free?: Yes — enlarging photos 2× with AI super-resolution is completely free, forever. No account, no sign-up, no trial, and no per-image charge, no matter how many images you process. The model downloads once (~34 MB), then runs entirely on your device via WebAssembly; your images are never uploaded to any server. The site is ad-supported.
What is AI image upscaling (super-resolution)?: AI super-resolution uses a deep neural network to analyse detail patterns in an image and reconstruct high-frequency detail when enlarging — far better than traditional bilinear or bicubic interpolation. This tool applies 2× super-resolution, which doubles the width and height and so quadruples the total pixel count.
Does the tool upload my image to a server?: Never. The AI model runs in your browser via WebAssembly and images never leave your device — that is the core design principle of this tool, and it is enforced in code by a runtime network guard that blocks any attempt to send your file off-device. You can verify it yourself: open DevTools → Network and watch — nothing is uploaded.
Does it require an internet connection?: Only for the first-time model download (~34 MB). Once downloaded the model is stored in the browser Cache API and the tool works fully offline, even without a network connection.
How long does the first run take?: The first run has two stages: (1) model download (roughly 3–15 seconds depending on connection speed) and (2) ONNX Runtime initialisation (1–3 seconds). After that, inference per image takes about 3–15 seconds depending on image size and device performance. Subsequent runs skip the download entirely and start faster.
How much storage space does the AI model use?: The super-resolution model is approximately 34 MB. It is downloaded once and then cached by the browser Cache API for offline use — it does not occupy space on your local disk, only in browser cache storage.
Which image formats are supported?: Input supports JPEG, PNG, WebP, and AVIF (browser-decoded). Output is PNG (maximum quality) or JPEG.
How much larger is the upscaled image?: 2× upscaling doubles both the width and the height, so the result has 4× the total pixel count — for example, a 512×512 image becomes 1024×1024. Because the AI reconstructs detail rather than simply stretching pixels, the enlarged image looks sharper than bicubic interpolation at the same size.
Can I use it offline?: Yes. After the first download the model is cached in the browser Cache API and inference requires no network connection at all. Even after closing and reopening the tab the model stays cached — no re-download needed.

ESRGAN (Enhanced Super-Resolution Generative Adversarial Network) was proposed by Wang et al. in 2018 and remains a foundational reference for super-resolution technology.
Super-resolution models can run in a WASM + ONNX Runtime Web environment with a WebGL backend, requiring zero server computation.
A 2× upscaled image has 4× the pixel count of the original — for example, 512×512 becomes 1024×1024.
The browser Cache API stores model weights in user-authorised storage, enabling fully offline inference.
Compared with bicubic interpolation, AI super-resolution typically produces more natural detail when upscaling low-resolution faces or text.

🔍 AI Image Upscaler — 2× Super-Resolution

AI Image Upscaler — 2× Super-Resolution