Image Upscaler Online
Enlarge photos to two, three or four times their original size with resampling and optional sharpening. Process a whole batch and download everything as a ZIP.
How to Upscale an Image
Drop in one image or several, choose a scale factor or type a custom percentage, enable sharpening if the result looks soft, then download.
Step 1
Add Your Images
Drop in one picture or a whole batch; each one is queued for processing.
Step 2
Choose the Scale
Pick 150%, 200%, 300%, 400% or enter a custom percentage of your own.
Step 3
Download the Results
Save each enlarged image individually, or grab the whole batch as a single ZIP.
Enlarge Any Image With Controlled Resampling and Optional Sharpening
Sometimes a picture is simply too small for what you need it to do. A product photo from a supplier arrives at a few hundred pixels across and the marketplace wants two thousand. An old scan looks fine on screen and falls apart in print. A screenshot needs to be legible in a slide deck. In every one of those cases you need more pixels, and the question is how much quality you can keep while getting them.
This tool enlarges by resampling rather than by stretching. The image is scaled in controlled steps with high-quality smoothing, which produces a much cleaner result than letting the browser do one big jump, and an optional sharpening pass then brings back some of the edge definition that interpolation inevitably softens. The scale factor is yours to choose: 150, 200, 300 or 400 percent, or any custom percentage you type in.
It is worth being precise about what this does and does not do. This is interpolation with sharpening, not generative AI super-resolution. An AI upscaler predicts plausible new detail using a neural network, which can genuinely recover texture on photographs but also invents content that was never there. Interpolation adds no invented detail at all: it produces a larger, smoother, well-sharpened version of exactly the pixels you supplied. For product shots, graphics, text and anything where accuracy matters more than drama, that is often the safer choice.
The batch workflow is what makes it practical for real volumes. Load a whole folder, apply the same scale and sharpening to everything, and download the set as a single ZIP rather than saving files one at a time. That suits e-commerce teams bringing a supplier’s catalogue up to size, anyone preparing a set of scanned photos, and designers who need consistent dimensions across a batch of assets. Each image is processed independently, so a mixed folder is fine.
A realistic expectation matters here. Upscaling adds pixels; it cannot add information that was not captured. A very small original blown up four times will look smooth and clean but not genuinely detailed, and heavy sharpening on top can produce haloes around edges. Two times is the setting that most often looks like an improvement rather than a compromise. Three or four times suits graphics and artwork better than photographs, and any image destined for print benefits from starting with the largest source you have. Sharpening helps most at two times and least at four.
Stepwise Resampling
Images are scaled in controlled steps for a cleaner result than one large jump.
Optional Sharpening
Bring back edge definition that interpolation softens, with a control to tune how much.
Custom Scale
Choose 150%, 200%, 300%, 400% or type any percentage you need.
Batch Processing
Load many images at once and apply the same settings across the whole folder.
ZIP Download
Download every enlarged image together in one archive instead of file by file.
Runs Locally
Processing happens in your browser, so your images are never uploaded anywhere.
FAQ
Frequently Asked Questions
No. It uses resampling with optional sharpening, not a neural network. That means it adds no invented detail, which is often the safer choice for product photos, text and graphics where accuracy matters more than drama.
Interpolation calculates new pixels from the ones you already have, giving a larger and smoother version of your image. AI upscaling predicts plausible new texture, which can look more detailed on photographs but also invents content that was never captured.
Presets run to 400 percent and you can enter a custom percentage beyond that. Two times is the setting that most often looks like an improvement; three or four times suits graphics and artwork better than photographs.
That is inherent to interpolation, since new pixels are calculated rather than captured. Enable the sharpening option to restore some edge definition, but avoid overdoing it, because heavy sharpening produces haloes around edges.
Yes. Load a whole folder, apply your settings once, and download every result together as a single ZIP archive rather than saving them individually. Each file keeps its own format unless you change the output setting.
PNG, JPG and WebP for both input and output. Files up to around twenty megabytes each are handled, and output keeps the format of your source unless you change it.
No. All processing happens in your browser, so your pictures never leave your device. There is no account, no queue and no copy stored anywhere. That makes it suitable for client assets and unreleased product shots.
Not in the sense of recovering real detail. Upscaling adds pixels, not information, so a very small original becomes smoother and larger rather than genuinely more detailed. Start with the largest source you have.
Yes. There is no watermark, no attribution requirement and no limit on how many images you process. The enlarged files are yours to use as you need. Nothing is stamped on the output at any scale.