Skip to main content
  1. Home
  2. Computing
  3. News

Windows 11 is getting a new Screen Tint mode, and your eyes might thank Microsoft

Users can apply custom color overlays to reduce screen intensity and visual fatigue.

Add as a preferred source on Google
Windows 11 on a laptop
Sunrise King / Unsplash

Microsoft is testing a new accessibility feature for Windows 11 called Screen Tint, and it could be one of those small additions that make a surprisingly big difference. Instead of changing your display’s color temperature like Night Light, Screen Tint applies a customizable color overlay across the entire screen, making bright displays easier on the eyes during long work or gaming sessions.

A softer screen for tired eyes

Available in the latest Windows Insider preview build v29617.1000, Screen Tint lets users choose from six preset colors or create their own custom tint while adjusting its intensity with a dedicated slider. The feature lives under Settings > Accessibility > Vision, making it easy to enable whenever screen fatigue starts kicking in.

Microsoft says Screen Tint is designed for people who experience eye strain or light sensitivity from bright, saturated displays. Unlike Night Light, which primarily reduces blue light for evening use, Screen Tint simply softens the overall intensity of the screen and can even be used alongside Night Light. One thing to note is that enabling Screen Tint disables Windows’ existing Color Filters, so users who rely on those accessibility features will need to choose between the two.

Small feature, surprisingly useful

Interestingly, this feels like one of those features that many people won’t think about until they try it. Whether it’s working on a bright white document all day, editing photos late into the evening, or simply reducing visual fatigue during marathon gaming sessions, having a customizable screen overlay could make Windows a little more comfortable to use.

The latest Insider build also introduces a handful of other improvements, including better Bluetooth device recovery, refinements to the Recall experience, and several under-the-hood fixes. But for anyone who spends hours staring at a monitor every day, Screen Tint might end up being the real highlight of the update.

Varun Mirchandani
Varun is an experienced technology journalist and editor with over eight years in consumer tech media. His work spans…
Google’s new Magic Pointer Play Store listing reveals a Gemini shortcut built for Googlebooks
The unannounced app turns the cursor into a contextual AI tool for search, image creation, and shopping
Plant, Text, Business Card

Google has quietly published a new Play Store listing for Magic Pointer, an unannounced app built for Googlebooks. Updated on July 10, the app turns the cursor into a Gemini shortcut that can act on whatever a user selects on screen.

Magic Pointer can send an image to Lens, generate a related image, or surface a shopping action without forcing users to open a separate chatbot. Regular Android devices currently show as incompatible, so the listing offers an early preview rather than a broad release.

Read more
You can stop using AI, but this new report says you probably can’t escape it
A UK survey found that most people feel AI exposure is unavoidable, raising harder questions about consent, privacy, and whether opting out is still realistic
AI Chatbots

More people are trying to use less AI, but avoiding it altogether may already be impossible.

A survey of 2,055 UK adults found that 42% deliberately limit how much AI they use. Another 70% said avoiding AI exposure would be difficult or impossible, even when they actively wanted less of it.

Read more
The face on an AI interviewer may matter as much as the decision it makes
Researchers found that race and gender matching changed how fairly rejected applicants viewed an automated interview, even though everyone received the same outcome
File, Computer Hardware, Electronics

An AI hiring system can treat every applicant the same and still leave some people feeling targeted. Researchers found that rejected candidates judged an automated interview differently depending on the race and gender of the avatar delivering the result.

Around 220 participants completed a simulated interview for a fictional customer support role with one of four photorealistic AI avatars. Everyone was rejected, yet perceptions of fairness shifted with the interviewer’s appearance. An algorithm audit could miss that reaction because candidates don’t experience the system as raw code. They experience a face asking questions and judging their answers.

Read more