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Image tool

Image Brightness and Contrast Tool

Adjust brightness, contrast, saturation, and sharpness of images directly in your browser. No upload — fast, private, and free.

Image Brightness Contrast Converter

Your selected file appears here immediately. Browser-supported tools process locally; server-powered tools require login.

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Ready. Upload a file or enter a value to begin.

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Complete guide

How to use Image Brightness and Contrast Tool

Image tools guide for image brightness and contrast tool users.

Quick image adjustments are one of the most common editing tasks — brightening an underexposed photo, boosting contrast on a flat scan, or desaturating for a monochrome look. This tool handles all of these with real-time preview.

All processing runs on the Canvas API in your browser. Your image is never uploaded anywhere.

What this tool does

Applies brightness, contrast, saturation, hue rotation, and sharpness adjustments to images in real time. Output as JPG or PNG.

How to use it

Upload an image. Drag the sliders to adjust. Preview updates live. Download the adjusted image in your chosen format.

Best practices

For underexposed photos, raise brightness first, then contrast. For flat scans, boost contrast significantly. Saturation of 0 = greyscale.

Quick checklist

  • Start with brightness before contrast — it is easier to correct exposure first.
  • Saturation 0 = full greyscale. Saturation 200 = highly vivid.
  • Sharpening adds visible artefacts at high values — keep below 150%.
  • Download as PNG if the image has transparency; JPG for photos.

Answers

Image Brightness and Contrast Tool FAQs

Does this upload my image?

No. All adjustments run on the Canvas API in your browser. Your image never leaves your device.

Can I undo adjustments?

Yes — reset the sliders to their default values to restore the original. The original image data is kept in memory until you close the page.

What formats can I input?

JPG, PNG, WEBP, BMP, and GIF (first frame). Output is JPG or PNG.

Why does sharpening cause halos around edges?

Unsharp masking (the algorithm used) creates a subtle halo effect at high values. This is normal — keep sharpening under 150% to avoid visible artefacts.