Correct an image's gamma balance

Photographers can reveal central details that look too dark while keeping bright areas intact and avoiding a flat correction.

Lift midtones with gamma while preserving highlights and shadows, then download a clearer image that does not look washed out or harsh.

How to use

Load a PNG, JPEG or WebP photo that does not exceed 20 MB.
Locate the gamma field, which starts at 1.00 in the interface.
Raise the value slightly to lift midtones without immediately affecting deep blacks or bright whites.
Apply the change and inspect the middle tones to see if they reveal more detail without looking washed out.
Download the result or clear the image to test a different gamma value.

Example

A photographer thinks a portrait is too dark around the face. They upload the JPEG, increase gamma gradually, check that the background does not turn gray and the highlights stay clean, then export the adjusted file.

Limits and formats

Gamma correction works on midtones; it does not replace separate local adjustments for shadows and highlights.
A value that is too high can flatten the image and create a faded appearance.
Only PNG, JPEG and WebP files are accepted, and each file must be 20 MB or smaller.

Where processing happens

The gamma curve is applied by your browser to the image on your device. No file is transmitted elsewhere for this adjustment, so the new balance is calculated locally while the original remains untouched.

Frequently asked questions

What is the difference between gamma and exposure?

Exposure shifts overall brightness, while gamma mainly targets midtones. Gamma is often used to open dark middle areas without immediately pushing bright highlights toward overexposure.

What does a gamma value of 1.00 mean?

The interface shows 1.00 as the neutral starting point. Lower values tend to darken the image, while higher values gradually brighten the middle range of tones.

Does gamma correction change colors?

It can affect how colors appear because it redistributes brightness. Always compare the processed image with the original to ensure that skin tones and other colors still look believable.