Resize an Image by Pixels or Percentage
Resize any JPG, PNG, or WebP image while keeping quality and aspect ratio intact — right in your browser.
Why Use This Tool
Resizing rewrites the image at a different pixel grid. Going down, several original pixels are averaged into each new one; going up, new pixels are invented by interpolating between neighbours. That asymmetry is the whole story: downscaling is a genuine, high-quality operation, while upscaling can only guess at detail that was never captured. A 4000-pixel photo reduced to 800 pixels looks excellent. An 800-pixel photo enlarged to 4000 looks soft no matter which tool performs it, because the information simply is not in the file.
How It Works
- 1
Upload Your Image
Select or drag and drop your image files. Batch processing is supported.
- 2
Adjust Settings
Choose your preferred quality, format, or compression level.
- 3
Download Result
Get your processed images instantly. No waiting, no email required.
Features
Pixel or percentage input
Aspect ratio lock
Batch processing
Keeps the original format
Preserves transparency
High-quality resampling
No installation
Arabic & RTL friendly
Secure by default
Benefits
Set a target width and height in pixels — the aspect ratio is preserved
Great for social media, thumbnails, email and faster-loading websites
Batch resize many images at once to the same size
Runs 100% in your browser — no uploads, no sign-up, no watermark
Advantages
Three different edits get confused constantly. Resizing changes the pixel dimensions while keeping the whole picture — the content is identical, just larger or smaller. [Cropping](/en/crop-image) keeps the pixel density but discards the edges, changing what the image shows and its shape. [Compressing](/en/compress-image) leaves the dimensions untouched and reduces file size by storing the same pixels more efficiently. They stack in a sensible order: crop for composition, resize for dimensions, compress last for weight. Doing compression before resizing wastes the effort, because resampling re-encodes the file anyway.
Common Mistakes
- Enlarging a small image and expecting detail to appear. Upscaling interpolates between existing pixels; it cannot recover information that was never captured. Always start from the largest original you have.
- Confusing DPI with resolution for web use. Browsers read pixel dimensions and ignore the DPI tag entirely — setting a web image to 300 DPI changes the file metadata and nothing a visitor sees.
- Unlocking the aspect ratio without meaning to. Entering both a width and a height that do not match the original proportions stretches faces and text. Lock the ratio, or crop to the target shape first.
- Compressing before resizing. Resampling re-encodes the file anyway, so the earlier compression pass is discarded. Crop, then resize, then compress — in that order.
- Overwriting the originals with the resized versions. The step down is lossy and irreversible; keep the full-resolution files so a bigger export is still possible later.
Frequently Asked Questions
The width and height are pre-filled with the image’s current size — just change them to your target. The image is scaled to fit within those dimensions while keeping its aspect ratio.
Yes. The image is scaled proportionally to fit the width and height you enter, so it never looks stretched or squashed.
This tool scales images down to your target size; it does not upscale beyond the original dimensions, which would only blur the image. Enter a size equal to or smaller than the original.
No. Resizing happens entirely in your browser using the Canvas API — your images are never uploaded, stored, or shared.