What This Tool Does
This image resizer changes the pixel dimensions of JPG, PNG, WebP, and GIF images while optionally preserving aspect ratio. You can enter exact pixel values or a percentage. Everything runs in your browser using Canvas — your images stay on your device.
Inputs Explained
- Image File: JPG, PNG, WebP, or GIF (up to 20 MB).
- Mode: Pixel dimensions or percentage.
- Width & Height: New dimensions. With 'Keep aspect ratio' enabled, editing one updates the other.
- Quality: For JPG/WebP output. PNG is always lossless.
How It Works
The image is drawn onto a new Canvas with the target dimensions using high-quality bilinear interpolation. The resized canvas is exported as a Blob in your chosen format. Aspect ratio is maintained by scaling both dimensions proportionally.
Formula / Logic Used
Image Resizer
Resize any image by pixel dimensions or percentage with aspect ratio lock.
Step-by-Step Example
Common resize targets:
- Social media avatar: 150×150 or 300×300 px
- Twitter/Facebook post: 1200×675 px
- Instagram feed: 1080×1080 (square) or 1080×1350 (portrait)
- LinkedIn banner: 1584×396 px
- WhatsApp profile: 500×500 px
- Blog hero: 1920×1080 px
To scale a 4000×3000 photo down to 50% → enter 50% in percentage mode, or 2000×1500 in pixel mode.
Use Cases
- Social media posts: Resize photos to exact dimensions each platform prefers for best display.
- Email newsletters: Keep image widths under 600px for reliable rendering across all email clients.
- Website optimization: Serve appropriately sized images — don't load 4K photos for thumbnail spots.
- Print preparation: Downscale high-res photos to target print dimensions while maintaining aspect ratio.
- Storage saving: Reduce the dimensions (not just quality) of vacation photos before archiving.
Assumptions and Limitations
- Upscaling (making images larger than original) produces blurry results. For AI-based upscaling, use dedicated tools like Topaz or waifu2x.
- Maximum output dimensions depend on browser memory — typically 8000×8000 works, but varies by device.
- Canvas resizing uses bilinear interpolation. For highest quality downscaling, specialized algorithms (Lanczos, bicubic) produce slightly better results.
- Aspect ratio lock uses your currently entered width/height ratio as reference — change the original image's ratio by unlocking first.
Frequently Asked Questions
What is the difference between resize and compress image?
Two different operations on the same file. Resize changes the pixel dimensions - turning a 4000x3000 image into 1200x900 for example. Fewer pixels to store, naturally smaller file. Compression keeps the dimensions the same and changes how those pixels are encoded - higher compression discards more detail to shrink the file. You can do either alone, or combine them. For web use, resize first (match the display dimensions), then compress (set quality to 80 or so). Resize fixes 'this image is way bigger than my page needs'; compression fixes 'this image is heavier than it needs to be.'
How do I resize an image and keep aspect ratio?
Toggle the aspect-ratio lock in the resizer before changing any number. Once locked, type a new width and the height auto-updates proportionally, or change height and width follows. The math is straightforward: new_height = original_height x (new_width / original_width). Without the lock, you can stretch a 1920x1080 to 1000x1000 and faces will look squashed. Always lock the ratio unless you're deliberately distorting. If you need an exact target like 1200x630 (a typical Open Graph size) and the source ratio doesn't match, crop first to the right ratio, then resize.
What size should images be for a website?
Aim for roughly 2x the display width to handle high-DPI screens cleanly. If the design slot is 600px wide, export at 1200px. Hero banners that span the page might need 2000-2400px for sharpness on retina displays. Anything beyond 2500px wide is usually wasted bandwidth - users can't perceive it. Match dimensions to the actual rendered size, not what the source happens to be. A 6000px camera original on a 600px display is sending ten times the pixels needed. Use srcset and sizes attributes if you want to serve different sizes for different viewports.
Will resizing an image reduce quality?
Downscaling - making the image smaller - removes detail because there are literally fewer pixels to hold the information. The result usually looks fine because the original had detail you couldn't see at the smaller size anyway. Upscaling - making it bigger - is where quality drops noticeably. The algorithm has to invent pixels that weren't there, and standard interpolation (bilinear, bicubic) just blurs to fill the gaps. A 400px image stretched to 1200px will look soft and mushy. Stay close to native resolution, or use AI upscaling if you really need to enlarge.
Can I upscale a small image without blur?
Not with regular resize tools. Standard upscaling uses bilinear or bicubic interpolation - it just guesses intermediate pixel values from neighbors, which mathematically means blurring. Going from 300px to 1200px that way produces a soft, smeared result. AI upscalers (ESRGAN, Topaz Gigapixel, Real-ESRGAN, modern phone Photo Enhance) are different - they're trained models that hallucinate plausible detail rather than interpolating. They genuinely produce sharper enlargements, sometimes impressively so. The browser-based resizer here uses traditional interpolation, so for serious upscaling, route those files through an AI tool and bring the result back.
Does resizing remove EXIF metadata?
Most browser-based resizers do strip it. The reason is technical: the tool draws your image onto a Canvas element, resizes it there, then exports a fresh image from the canvas. That export only contains pixel data - the EXIF block from the original isn't carried across. Camera info, GPS coordinates, timestamps, lens data - all gone. If you need both a resized image and intact metadata, you'll need a desktop tool like ImageMagick or ExifTool that explicitly copies the EXIF block over after resize. Useful side effect when privacy is the goal: stripping is automatic.
What dimensions are best for social media images?
Common targets that work well today: Instagram square 1080x1080, Instagram portrait 1080x1350, Facebook and LinkedIn shared images around 1200x630, X post images 1600x900, YouTube thumbnails 1280x720, WhatsApp status 1080x1920. These are the rendered sizes that look crisp without being oversized. Always check the platform's current spec page before a campaign - they shift dimensions every couple of years. When in doubt, 1200x1200 or 1200x630 covers most general posting needs. Keep important content away from the edges, since some platforms crop differently in feed previews versus the full open view.
How do I resize an image by percentage?
Switch the resizer into percentage mode if the tool offers it. Enter 50% and both width and height halve - a 2000x1500 becomes 1000x750. Aspect ratio is automatically preserved because both axes scale by the same factor. 25% quarters the pixel count, 200% doubles it (with the upscale-blur problem mentioned earlier). Percentage is handy when you have a batch of mixed-size sources and want consistent reduction without thinking about exact pixels. If you need a specific output dimension regardless of source, switch to absolute width/height mode and lock the ratio instead.
Sources and References
- MDN — CanvasRenderingContext2D.drawImage — Core Canvas API used for resizing.
- MDN — imageSmoothingQuality — Controls interpolation quality when scaling.
- web.dev — Serve responsive images — Best practices for sizing images for web.
- MDN — FileReader API — Browser API for reading uploaded files.