Resize a whole batch of images to one consistent size
Bulk Image Resize takes a pile of images of all different dimensions and brings them down to one shared rule — a single target width, height, or maximum dimension — while keeping every image's original proportions intact. You select the whole set, decide how big you want them, and the tool scales each one accordingly and hands the entire batch back to you as a single .zip file. It removes the tedium of opening an editor for every picture just to type in the same number over and over.
As with everything on Pixohub, the resizing happens completely inside your browser. Images are drawn and rescaled with the Canvas API and packaged with JSZip, so no picture is ever sent to a server. The tool is free, needs no account, and imposes no artificial cap on how many images you process — the practical limits are simply your device's memory and processor, which come into play only with very large batches or very high-resolution originals.
Applying one dimension rule to the whole batch is what makes this tool so useful for the web. A store's product grid looks clean when every thumbnail is the same width; a blog loads faster when no image is wider than the content column; a gallery feels tidy when the pictures share a consistent scale. Instead of eyeballing each one, you set the rule once and every image obeys it.
Aspect ratio is always preserved
The tool never stretches or squashes your images. When you set a target width, each image's height is calculated automatically to keep the original proportions, and vice versa. That means a mix of landscape and portrait shots can all be constrained to, say, 1200 pixels wide, and each one will keep its natural shape — the portraits simply end up taller than the landscapes. This is almost always what you want, because distorted images look immediately wrong to the eye.
Resizing downward — making images smaller than the original — is the safe and common direction, and it produces crisp, clean results because the browser is discarding pixels it no longer needs. Scaling upward is possible but has limits: enlarging a small image cannot invent detail that was never captured, so heavily upscaled pictures look soft or blocky. For the best quality, start from the largest originals you have and shrink them to the size you need.
Because the whole batch shares one dimension rule, the output is predictable. You know in advance that no image will exceed the width you set, which makes it easy to plan layouts, storage budgets, and upload limits around a known ceiling.
Common uses for batch resizing
Preparing product photos for an online store is a classic case: cameras and phones shoot far larger than any web page needs, and a catalog of oversized images slows a site to a crawl. Resizing the entire set to a sensible maximum width makes pages load quickly and keeps storage lean. Bloggers face the same problem with screenshots and stock photos, and can flatten a whole article's worth of images to the content width in a single pass.
The tool is also handy for social media batches, email attachments that keep hitting size limits, and shrinking a full camera folder before uploading it to cloud storage or sharing it with family. Anywhere you have many pictures that all need to obey the same size rule, batch resizing turns a long, repetitive chore into a few clicks. Pair it with Bulk Image Compress when you want the images both smaller in dimensions and lighter in file size.