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Image Resizer

Resize images to exact pixel dimensions or percentages, with aspect ratio lock, in your browser.

Last updated: March 25, 2026

Used 72K+ times
Client-Side Processing
Input Data Stays on Device
Instant Local Execution

What users say

I resize images for every platform daily — the standard size presets for Twitter, Instagram, and LinkedIn are incredibly handy.
Lena R.Social Media Manager
No watermarks, no upload limits. The aspect ratio lock saves me from accidentally distorting client logos.
Tom B.Freelance Developer

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What is Image Resizer?

Image resizing changes the pixel dimensions of an image — its width and height — using a mathematical resampling algorithm that interpolates (blends) existing pixels to create a new grid of the desired size. Unlike cropping, which cuts away parts of an image, resizing scales the entire image up or down proportionally (or independently if you unlock the aspect ratio).

This tool resizes images directly in your browser using the HTML Canvas API. You can specify the target dimensions in pixels, or scale by percentage. The aspect ratio lock ensures the image is not distorted when you only change one dimension. All processing is local — your images are never sent to any server — and the resized image is downloaded instantly to your device.

How to Use Image Resizer

1

Click "Upload Image" or drag and drop a JPEG, PNG, or WebP file onto the tool

2

Enter the desired width in pixels — the height will auto-calculate to maintain aspect ratio

3

Alternatively, enter a percentage (e.g. 50%) to scale proportionally

4

Toggle "Lock Aspect Ratio" off if you need to set width and height independently

5

Click "Download Resized Image" to save the result to your device

Common Use Cases

  • Resizing product photos to exact pixel requirements for Shopify or WooCommerce
  • Scaling hero images to fit website templates (e.g. 1200×630px for Open Graph images)
  • Creating correctly sized thumbnails for YouTube (1280×720) or Twitter (800×418)
  • Reducing image resolution before sending by email or messaging apps
  • Matching exact pixel specs required by design systems or component libraries
  • Scaling illustrations up for print (export at 2× or 3× for high-DPI)
  • Creating multiple sizes of the same image for responsive srcset attributes
  • Reducing image dimensions as a first step before further compression

Example Input and Output

Resizing a large website hero image down to the optimal Open Graph share preview size:

Original image
Filename: hero-photo.jpg
Dimensions: 4200 × 2800 px
File size: 5.8 MB
Use case: Share preview / Open Graph
After resizing (aspect ratio locked)
Filename: hero-photo-resized.jpg
Dimensions: 1200 × 800 px
File size: 420 KB (before compression)
Ready for: og:image meta tag

Privacy First

All resizing runs locally using the HTML Canvas API. Your images are processed entirely on your device and are never uploaded to, seen by, or stored on our servers.

Resize Before Compressing

Always resize to your target dimensions before compressing. Compressing an oversized image and then resizing it wastes the compression savings. The right order: resize → compress → publish.

Retina / HiDPI Tip

For retina displays, design assets should be 2× the logical CSS pixel size. For example, a 200px thumbnail in your CSS should be exported as 400px. This ensures crisp display on all screens without blurriness.

Frequently Asked Questions

Does resizing crop the image?
No. Resizing scales the entire image to the new dimensions — it does not cut off any part of it. If you lock the aspect ratio, the full image is scaled uniformly. If you unlock it and set different proportions, the image will be stretched or squished to fit, which can cause distortion.
Will resizing reduce the file size?
Yes — fewer pixels means a smaller file. However, the exact size depends on the format and content. For maximum size reduction, resize the image first and then run it through the Image Compressor tool for the best results.
What does "Lock Aspect Ratio" mean?
Aspect ratio is the proportional relationship between width and height (e.g. 16:9, 4:3, 1:1). When locked, changing the width automatically adjusts the height to maintain the original shape, preventing distortion. Unlock it only if you intentionally want a different proportions (e.g. forcing a 1:1 square crop-scale for avatars).
Can I resize images larger than the original?
Yes, but be aware that scaling up ("upscaling") beyond the original size introduces blurriness. Standard Canvas-based resizing uses bilinear interpolation — it cannot add detail that was not in the original. For high-quality upscaling, AI-based tools (like Topaz Gigapixel or DALL-E inpainting) are more appropriate.
What image formats are supported?
You can upload JPEG, PNG, WebP, GIF (first frame only), and BMP. The output is always JPEG or PNG depending on your selection. If you need to convert format as well as resize, use our Image Converter tool after resizing.
What is the maximum image size I can process?
There is no server-side size limit since all processing happens in your browser. Very large images (50MP+) may exhaust browser Canvas memory limits on some devices. If you experience a crash, try resizing in two steps: first compress the original, then resize.
What are standard social media image sizes?
Twitter/X post: 1600×900 px. Instagram square: 1080×1080 px. Instagram story: 1080×1920 px. LinkedIn post: 1200×627 px. Facebook cover: 820×312 px. YouTube thumbnail: 1280×720 px. Open Graph (og:image): 1200×630 px.

How This Tool Works

The image file is read using the FileReader API and decoded into an HTMLImageElement. An off-screen Canvas is created at the target dimensions, and the source image is drawn onto it using drawImage() — the browser's Canvas context handles bilinear resampling during this step. The resulting Canvas is exported as an image Blob via canvas.toBlob() and offered as a download via a temporary Object URL. For large images, the process uses requestAnimationFrame to avoid blocking the UI thread.

Technical Stack

HTML Canvas APIFileReader APIdrawImage() bilinear resamplingClient-side onlyNo external libraries