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Brighter than white

Gainmaps

The original, gain map encoded. Standard reads the SDR base. Ultra lifts the highlights.

a snowboarder is standing on the top of a mountain, Ultra
a snowboarder is standing on the top of a mountain, Standard

Photo by laura adai on Unsplash · Original


Type

Ultra
Ultra

Convert your image

Drop any photo or logo. We add a gain map layer and return it to you instantly — same file format, no upload, no account, no registration. Completely private, runs in your browser.

INSTANT IN BROWSER

Drop an image

JPEG · PNG · WebP · AVIF · HEIC · SVG

Make your logo or photos look spectacular on HDR displays. Be the hero at your company.

Apple logo, Ultra
Apple logo, Standard
Microsoft logo, Ultra
Microsoft logo, Standard
Google logo, Ultra
Google logo, Standard

What is a gain map image?

HDR is an expanded brightness range: image highlights can sit above the SDR ceiling. A gain map image encodes a normal SDR image plus a secondary brightness map. Unsupported apps render the SDR layer and ignore the rest.

EDR is Apple's term for displaying brightness above SDR reference white. HDR describes the image content. They are not the same word and are often misused interchangeably.

The cross-platform technical name is HDR gain map image. Consumer brands include Adaptive HDR (Apple) and Ultra HDR (Android/Google). This site encodes those files locally in the browser. No upload, no server.

Blacks do not necessarily get blacker. EDR lifts highlights, not the shadow floor.

Learn more in /docs →

For developers

Build gain map encoding into your pipeline or CI. MIT licensed, 100% test coverage, available via Docker, npm, Homebrew, and curl.

DockernpmHomebrewcurlCLIMIT licensed100% test coverage

From the terminal

Learn more →

Batch-encode gain map images without a browser.

npx gainmap ./photos

Add Ultra text to your project

Learn more →
npx skills add kirkstrobeck/gainmaps

The skill is the recommended path because this rendering stack has edge-treatment details that can be updated without retyping the implementation by hand. View skill source on GitHub →

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