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AI Image Upscaler

This AI image upscaler enlarges photos 2x, 4x or 8x with an ESRGAN super-resolution model that runs on your own device, so your picture is never uploaded. Instead of simply stretching pixels, the model rebuilds edges and texture, which makes small, soft or old images look sharper at the larger size. Turn on noise reduction for grainy phone shots or blocky JPGs, add extra sharpening, set an exact output width, and save as PNG, JPG or WebP with a print DPI. A before and after slider shows the difference. It suits supplier product photos, old family pictures, small logos and thumbnails you need to print. Upscale one image or a batch, paste with Ctrl+V, and download a ZIP. It is free, with no watermark and no sign-up.

Always freeNo sign upRuns in your browser
First run loads the AI model (a few MB, from a CDN), then upscaling happens locally. If your device's GPU can't run the model, it falls back to a non-AI enhancer and tells you.
Bulk supported. Drop several files for one ZIP download. You can also paste an image with Ctrl+V.

How to use

01

Add one or more images

Drop JPG, PNG, WebP or iPhone HEIC files up to 20 MB each, or paste one with Ctrl+V. Several files go into a queue for batch upscaling.

02

Set scale and options

Choose 2x, 4x or 8x, the Standard or High detail model, noise reduction, extra sharpening, an exact width if you need one, and PNG, JPG or WebP output.

03

Upscale and download

Click Upscale. The first run loads the model, then the work happens on your device with a progress bar. Drag the compare slider, then download the file or ZIP.

Why AI Image Upscaler

On-device AI versus cloud upscalers

Most online upscalers send your photo to a server, run the model there and send the result back. That allows very large outputs, but your image sits on someone else's machine, usually with a daily limit or a paid plan for full resolution.

This tool works the other way round. The model is downloaded to your browser and runs on your own graphics chip. Nobody else sees the photo, there is nothing to delete afterwards, and there is no queue. The trade-off is that your device sets the limits: the AI result is capped at 4096 pixels, and slower machines take longer.

  • Private photos, ID documents, client work: on-device is the safer choice.
  • AI detail beyond 4096 pixels, for example 8x on a large photo: a server-based tool is needed.
  • Many images: batch mode here processes them one after another and zips the results.

Input and output sizes

Use this table to see what size you will get from the AI. If your image is larger than the input limit, it is scaled down just enough before the model runs, so the output still lands at the 4096 pixel cap. Exact output width can then resize the result further.

In practice, the upscaler helps most with images under about 1000 pixels: thumbnails, old web images, small product shots and screenshots of small graphics.

Input (longest side)2x output4x output8x output
256 px512 px1024 px2048 px
512 px1024 px2048 px4096 px
1024 px2048 px4096 px4096 px (input reduced to 512 px)
2048 px4096 px4096 px (input reduced to 1024 px)4096 px (input reduced to 512 px)

Common questions

Is the AI image upscaler really free with no watermark?
Yes. There is no watermark, no daily limit and no account. The model runs on your own device, so there is no server cost to pass on.
Should I upscale my image 2x, 4x or 8x?
Use 2x when the image is only a little too small, because it is faster and looks more natural. Use 4x for thumbnails and icons. 8x runs the 4x model and then the 2x model, so it suits very small images up to about 512 pixels. The result can only be as good as the detail the model can infer, so a tiny, blurry photo will look smooth rather than truly detailed.
What is the largest image the AI upscaler can produce?
The AI result is capped at 4096 pixels on the longest side to stay within browser graphics limits, so larger inputs are scaled down just enough first. If you need a bigger file, set Exact output width: the AI result is then resized to that width, up to 8192 pixels, with high-quality smoothing.
What do noise reduction and sharpening do in the upscaler?
Noise reduction softens grain and JPEG blocks slightly before the AI pass, so the model does not sharpen them into the result. Light suits phone photos and Strong suits heavily compressed images. Extra sharpening runs after upscaling and crisps edges and text; keep it low on faces to avoid a harsh look.
What is the difference between the Standard and High detail models?
Both are ESRGAN models. Standard is smaller and faster and works on most devices. High detail is a larger model that can recover more texture but needs more graphics memory and time, so it may fall back on older laptops and phones.
What happens if my device cannot run the AI upscaler?
If the AI model cannot run, for example because WebGL is disabled, the tool uses a non-AI enhancer instead: a smooth step-by-step enlargement followed by sharpening. The page tells you when that happened, so you know the result did not come from the AI.
Can I upscale an image for printing at 300 DPI?
Yes. Pick JPG as the output and set Print DPI to 300. The DPI value is written into the file so print software uses the right physical size. For a 6 x 4 inch print at 300 DPI you need about 1800 x 1200 pixels, which you can reach with the scale options or Exact output width.
Can the AI upscaler fix a blurry photo?
It can make a soft photo look crisper, especially edges and text. It cannot recover detail that was never captured, such as a face that is only a few pixels wide or heavy motion blur. For a better result, start from the least compressed version of the image you have.
Which output format should I pick after upscaling?
PNG is lossless and the right pick if you will edit the image further, but the files are large. JPG is much smaller and suits photos and printing. WebP is usually the smallest at the same quality and works in all modern browsers.
Are my images uploaded to upscale them?
No. The model files are downloaded to your browser and the upscaling runs on your device's graphics chip. Your image never leaves your computer or phone.

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