Free Online Image Enhancer
Adjust the appearance of one JPG, PNG, or WebP image with a live preview. Processing stays in your browser, so your file never leaves your device.
Drag and drop files here
or
How to Enhance an Image
- Choose one JPG, PNG, or WebP image
- Adjust brightness, contrast, saturation, sharpness, blur, or grayscale
- Check the live preview and reset individual controls when needed
- Choose PNG, JPG, or WebP and download the processed image
Features
- Brightness, contrast, and saturation controls
- Edge sharpening with a corrected RGBA pixel kernel
- Browser blur and grayscale effects
- Live preview before export
- PNG, JPG, and WebP output with quality control where supported
- Large-image memory review before processing
- 100% client-side processing with no file upload
Frequently Asked Questions
How does the image enhancer work?
The tool uses your browser Canvas API to adjust brightness, contrast, saturation, sharpness, blur, and grayscale. Processing stays on your device.
Is my image uploaded to a server?
No. The image is decoded, previewed, processed, and exported locally in your browser. It is not uploaded to ToolkitFree.
What file formats are supported?
You can open JPG, PNG, and WebP images. You can export the processed image as PNG, JPG, or WebP.
What does the sharpness slider do?
It increases local edge contrast with a small sharpening kernel. It can make a slightly soft image look crisper, but it cannot restore missing detail.
What is the difference between brightness and contrast?
Brightness shifts the overall light level. Contrast changes the difference between lighter and darker areas.
Can I combine multiple adjustments?
Yes. The live preview combines all selected adjustments. Reset all returns every visual adjustment to its neutral value.
Will the exported image lose quality?
PNG preserves the processed pixels without lossy compression. JPG and WebP can reduce file size by discarding some detail, so they include a quality control.
Can this tool fix a badly blurred photo?
No. Sharpening can emphasize existing edges, but it cannot reconstruct detail that is absent from the source image.