A few small adjustments can transform an image: a touch more contrast, a grayscale conversion, or a subtle blur for a background. The Image Filters tool gives you those controls with live sliders, so you can dial in the look and download the result.
The adjustments you can make
- Brightness, contrast and saturation for tonal control
- Grayscale to convert to black and white
- Sepia for a warm, vintage tone
- Invert to flip colours, and blur to soften
How it works
The tool applies CSS-style canvas filters to your image in real time. Each slider maps to a standard filter function, and they stack — so you can, for example, combine full grayscale with extra contrast for a punchy monochrome look.
Applying filters and adjustments
- Drag in or select an image.
- Move the sliders and watch the preview update instantly.
- Reset filters any time to start over.
- Download the filtered image as a PNG.
Filtering produces a new, adjusted copy, so your original file is untouched.
The order that gives the cleanest result
Filters stack left-to-right, and order changes the look. Adjust contrast before saturation: boosting contrast first makes the colour pop range smaller, so later saturation changes are more predictable. Brightness and blur are order-insensitive in practice, but the combination grayscale-plus-contrast is the most useful pairing — toggling grayscale first, then lifting contrast, turns a flat image into a punchy monochrome instead of a grey wash.
Three looks you can dial in
- Editorial black & white: full grayscale + a contrast boost to 20–30.
- Warm vintage: sepia with saturation reduced slightly so the tone stays muted.
- Soft background: blur 4px + brightness −15, ideal before overlaying text.
Filters change the file, not just the look
Grayscale and sepia typically shrink a JPG a little; brightness and contrast can raise file size when they expand the tonal range. That is not a bug — the output format just re-encodes. The practical rule is to filter, compare the exported size against the original, and only keep the edit when the visual gain is worth the bytes. For a noisy photo, a touch of blur hides sensor grain and frequently costs nothing in perceived detail.
