Image

Image Upscaler

Upscale images 2x or 4x in your browser using high-quality canvas interpolation. Free, instant PNG download.

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About this tool

This Image Upscaler enlarges your photos and images by 2× or 4× directly in your browser. It redraws the image on an HTML5 canvas at the new size with the browser's highest-quality smoothing, which gives smooth, clean enlargements on any device in moments. After upscaling you see the original and enlarged images side by side with their pixel dimensions, and you can download the result as a full-resolution PNG. Interpolation makes images bigger and smoother but cannot recover detail that was never captured. No server, no upload, no watermark.

Why use it

  • Works entirely in-browser — no upload, no privacy risk.

  • High-quality canvas interpolation runs in moments on any hardware, with no model download.

  • Side-by-side comparison shows original and upscaled dimensions.

  • No watermarks, no sign-up, completely free.

  • Outputs a lossless PNG regardless of input format.

How to use

  1. Upload a JPG, PNG, or WebP image using the file input or drag-and-drop area.
  2. Choose a scale factor: 2× doubles the dimensions (4× the pixels), 4× quadruples them (16× the pixels).
  3. Click 'Upscale Image' and compare the original and upscaled previews and their pixel sizes.
  4. Click 'Download PNG' to save the enlarged image.

When it helps

  • Printing a small digital image at a larger size for posters or framed prints.
  • Enlarging a low-resolution photo for a presentation slide or video thumbnail.
  • Preparing a thumbnail image for use as a banner or cover.
  • Testing how an image looks at higher resolution before sending to a printer.

Examples

Old screenshot

Input

PNG screenshot at 640 × 480 px

Expected result

Lossless PNG at 2560 × 1920 px (4×) suitable for embedding in a presentation.

Photo for print

Input

JPG portrait at 1024 × 768 px

Expected result

PNG at 2048 × 1536 px (2×) sharp enough for a 6×4 print at 300 DPI.

Thumbnail to banner

Input

WebP avatar at 256 × 256 px

Expected result

PNG at 1024 × 1024 px (4×) usable as a profile banner or large social card.

Tips

  • Use 2× first; only escalate to 4× if the result still looks too small — 4× generates 16× more pixels and a much larger file.
  • If your source has heavy JPEG artefacts, clean it up first — interpolation enlarges artefacts along with everything else.
  • If your browser runs out of memory on 4× of a 4000 px image, downscale slightly first — 16000 × 16000 PNG can exceed 200 MB in RAM.
  • Always download immediately; canvas blobs are garbage-collected and switching tabs may discard the upscaled output.
  • For pixel art, this tool is the wrong choice — use a nearest-neighbour zoom in your editor to keep crisp pixel boundaries.

Frequently Asked Questions

Does this upscaler use AI?
No. It enlarges the image with the browser's high-quality canvas smoothing, which is fast, private and needs no model download. It makes images bigger and smoother but does not invent new detail the way neural upscalers such as Real-ESRGAN do.
Will upscaling add detail that was not there?
No. Interpolation enlarges existing pixels smoothly but does not invent new detail. Edges stay soft and text in very small images will not become sharper — start from the highest-resolution source you have.
Are there any file size limits?
Very large images may strain browser memory. Images above 4000 × 4000 px at 4× scale (→ 16000 × 16000) may be slow or fail on low-RAM devices.
Does it upload my image?
No. Everything runs client-side in your browser. Your image is never sent to any server.
What output format is produced?
A lossless PNG regardless of the input format.

Explore the category

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Glossary

Bicubic interpolation
An image-resampling method that fits a smooth cubic curve through 4×4 neighbourhoods of source pixels, producing sharper enlargements than bilinear or nearest-neighbour.
Super-resolution
The class of algorithms that infer plausible missing detail when enlarging an image, typically via convolutional networks trained on paired low/high-resolution images. This tool currently uses interpolation, not super-resolution.
Image smoothing
The canvas setting that controls how pixels are blended when an image is drawn at a different size. This tool sets it to 'high', the browser's best-quality resampling.
Upscaling factor
How much each dimension is multiplied. 2× turns 640 × 480 into 1280 × 960; 4× turns it into 2560 × 1920.
Bilinear vs bicubic
Bilinear blends 2×2 source pixels and is fast but soft; bicubic uses 4×4 with cubic curves and gives noticeably sharper edges, at slightly higher cost.
Aliasing
Stair-stepped artefacts that appear when an image is resized without proper filtering; smoothed resampling reduces visible aliasing.
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