Scale graphic dimensions to exact pixel widths and heights or percentage ratios with our free Online Image Resizer. Designed for web development, email templates, social media posts, and document preparation, the tool features aspect ratio locking to prevent distortion, percentage scaling ($10\%–200\%$), social media dimension presets, and format conversion to PNG, JPEG, or WebP. Execution takes place 100% locally inside client-side browser RAM with zero server uploads.
Drag and drop your JPG, PNG, or WebP photo into the workspace box or browse device files.
Enter target width/height in pixels (with aspect lock enabled), choose a social media preset, or move the percentage scale slider.
Choose export format (PNG, JPEG, WebP) and click Resize Image to download your scaled photo.
Resize by custom width and height pixel values or scale graphics uniformly from 10% to 200% of their original dimensions.
Prevent stretching or distortion by locking original proportions or applying social media templates (FHD, HD, Instagram, Social Share).
All HTML5 canvas resampling runs entirely inside browser RAM. Your photos are never sent across external networks or saved to cloud servers.
Raster image resampling computes target pixel values by interpolating source pixel grids across scaling ratios ($S_w = W_{\text{target}} / W_{\text{src}}, S_h = H_{\text{target}} / H_{\text{src}}$). When aspect ratio locking is active, target height is dynamically bound by $H_{\text{target}} = \text{round}(W_{\text{target}} / R)$, where aspect ratio $R = W_{\text{src}} / H_{\text{src}}$, ensuring zero geometric distortion.
Modern web browsers execute high-quality bilinear or bicubic filtering using GPU-accelerated canvas pipelines (imageSmoothingQuality = 'high'). When exporting to compressed formats like JPEG or WebP, canvas data is encoded with configurable lossy quality factors, whereas PNG exports preserve exact 32-bit RGBA color and alpha transparency channels without loss.
Because processing takes place strictly inside client-side WebGL / 2D Context RAM, graphics are re-sampled instantly without consuming network bandwidth or risking privacy leaks on third-party cloud servers.