Sharpen Image
Recover detail in soft or blurry images using unsharp-mask sharpening. Adjustable intensity with before/after comparison.
Drop an image here or click to select
JPG, PNG, WebP - up to 50 MB
or paste an image with Ctrl+V / ⌘V
Your image is processed locally. Nothing is uploaded.
How to use Sharpen Image
- 1
Upload your image
Drop a JPG, PNG or WebP image onto the tool or click to select.
- 2
Set sharpness
Drag the slider to set sharpness intensity. Values of 1-1.5 work well for most images. Higher values emphasise edges but can introduce halos.
- 3
Apply and download
Click Apply Effect to run the unsharp-mask convolution. A side-by-side before/after appears for comparison before you download.
When images need sharpening
Images become slightly soft in several common scenarios: resizing down and then back up, scanning at moderate resolution, capturing with a lens that has minor focus softness, or applying any interpolation-based transform such as rotation or skew. In each case, the underlying pixel data is intact but the high-frequency edge detail has been smoothed. Sharpening enhances the contrast along those edges, making the image appear crisper and more defined without changing the actual content.
Product photography often requires sharpening before publication. A product image shot in studio conditions may look acceptable on the camera screen but appear slightly soft when viewed on a high-resolution display. A targeted sharpen pass recovers the edge definition that was lost in the camera's own processing or in the compression applied during export. Similarly, sharpening after resizing to a smaller dimension restores the edge crispness that downsampling typically softens.
Setting the right intensity
The optimal sharpening intensity depends on the image content. Portraits require gentle sharpening - high intensity emphasises skin pores, fine hairs, and imperfections in a way that looks unflattering. A value of 0.5 to 1.0 is typically appropriate for faces. Technical subjects, product images, and text-containing images can handle higher intensity of 1.0 to 1.5 without visual artefacts. Beyond 2.0, visible halos appear along high-contrast edges, which is a signal to reduce the intensity. Use the side-by-side comparison view to judge the result against the original before downloading.