Bringing Emoji into the Next Era of Expression
The unexpected design challenges of translating 2D emoji into open-source 3D
In a live chat, ending a sentence with a period reads like an act of aggression. That’s just the emotional tax of talking through glass. When conversation happens in milliseconds, brevity feels cold — and plain text simply cannot carry the warmth that rolling on the floor laughing or an arched eyebrow can.
For years, emoji have done the emotional heavy lifting our keyboards couldn’t. But the way we talk online doesn’t look like it did a decade ago, and neither should our emoji. In rolling out Noto 3D — alongside new emoji like Cracking Face, Lighthouse, and Meteor — we wanted to give those rapid, fleeting exchanges more depth, a little bounce, and tangible presence to overcome our digital divide.

Our new emojis have been released, including this lighthouse

A cracking face emoji — because sometimes “I’m fine!” means “I’m very much not fine!”

A meteor emoji, which is finally differentiated from the comet emoji
Of course, jumping into three dimensions solves one problem and presents a few new ones: It’s easy to make a monkey look impressive in 3D, but far harder when that same character has to shrink down to 18 tiny pixels and still feel warm. Instead of rushing into automated generation, we slowed down: drawing, sculpting, and debating every single character by hand so that dimension never came at the cost of soul.
The Kangaroo Rule: Expressive, Not Photorealistic
When you have the latest cutting-edge technology, there’s a temptation to show off and create hyperrealistic art just to flex what your tools can do: crank up the ray tracing, add subsurface skin scattering, and make everything look like a cold, industrial CAD demo.
But just because our software can render reality doesn’t mean we should — especially when it comes to emoji.
Take a kangaroo: an anatomically accurate depiction wouldn’t look like a friendly, hopping mascot. It’d look like a vein-popping bodybuilder itching for a bar fight. Suddenly, a cheerful “omw! 🦘” text can read as a physical threat: I’m coming for you 🦘🦘🦘.
Instead of treating emoji as miniature scans of the natural world, we prioritized emotional clarity. Our job was to preserve the vibe behind each symbol: using 3D to give the character a body, but illustration to give it a soul.
Less Face, More Feeling

A glossy monarch butterfly emoji

A playful, see-no-evil emoji

A cheerful yellow cat emoji
Steering clear of the uncanny valley isn’t simply an aesthetic preference. Research led by UX Engineer Dr. Alexander Robertson revealed that highly anatomical details like irises or nostril depth actually slow down how fast our brains process emotion. Stripping away extraneous detail and keeping facial geometry minimal keeps the expression universally readable.
Those micro-expressions carry surprisingly high stakes. Flipping the direction of a wink or slightly shifting an eyebrow can turn playful teasing into perceived aggression, especially when translating across different operating systems.
The 360-Degree Reality Check
In 2D illustration, you only have to solve for a single vantage point. In 3D, there’s nowhere to hide. Once we started imagining the 360-degree view of our assets, we started confronting questions Unicode never warned us about: What does the back of a smiley face look like?

Just kidding! Butt, IMAGINE!
In 3D, we have to invent the unseen, finding the truth of a symbol so it feels warm and intentional from every perspective.
The back of a smiley face doesn’t require a lot of imagination, but rotating the camera revealed some hilarious legacy drawing crimes. In 2D, our poodle looked ready for Best in Show. But the second we started sculpting her in 3D, we realized she only had three legs. The fourth had been tucked out of sight behind the front two. (Rest easy. She now has all four.)

Our 2D poodle emoji’s fourth leg was hidden from view

Our 3D poodle emoji finally has a fourth leg!
Changing our view also changed how we framed characters entirely. Some emoji only appear as disembodied floating heads. But Robertson’s research demonstrated that people empathize far more with complete silhouettes — especially when it comes to depicting real animals. Seeing an animal’s stance, paws, and posture helps communicate intent. Upon learning this last year, we updated a few animal emoji, like the raccoon, to embrace its full mischievous self — and now in 3D.

Our previous raccoon emoji was represented by a floating head

Now, the raccoon has a full body!
The 18-Pixel Stress Test
A 3D canvas, with its endless possibilities, can encourage over-sculpting. Though we occasionally gave in to temptation and became obsessive unicorn groomers, we realized that designs that deviated too much from our original beloved drawings suffered. Our research validated that excessive props and texture destroy comprehension. Background features and accessories might look charming at hero scale, but at 18x18 pixels inside a chat bubble, that detail just becomes visual static.
To protect the legibility of our emoji, we stuck to a simple design rule: Every emoji gets at most three essential details to communicate what it is. For the volcano, that meant just the mountain shape and the molten lava flow. Everything else was cut.
Fixing the Dark-Mode Problem with Math
While every emoji was shaped by human hands, ensuring that emotional clarity could scale across thousands of screens required an assist from automation.
An emoji’s first job is to be understood at a glance, but that breaks down completely if people can’t actually see the character: for example, a black cat on a black background. In dark mode, people who use darker skin tones have long faced an annoying reality: Their emoji often disappear against black or dark-gray chat bubbles. When the silhouette vanishes, so does the meaning.
We wanted to fix this issue across all 3,977 characters, while understanding that designers can’t reliably eyeball thousands of combinations. To shoulder the mathematical heavy lifting, we built an AI-powered contrast audit tool.
As Wilder Wells, a program manager, explains, “High color contrast along the image edge is a key factor for legibility at small sizes, so we built a tool that scans the edges, flags when the contrast is below the threshold against common backgrounds, and suggests visual improvements that designers could implement.“
While the algorithm flagged the failures, it didn’t solve them. An automated filter would have washed out rich skin tones just to pass the test. Instead, our designers stepped in to manually sculpt custom edge protection — painting subtle rim lighting and contour highlights by hand.
Nobody should have to choose between using their actual skin tone and having their messages be legible. Whether someone sends an emoji in the default yellow hue or tone 5, their identity should never be an accessibility trade-off.

We maintained clarity across every skin tone, ensuring expressions never get lost in light or dark mode
Hand-Crafted by Humans, Open to the World
In an era dominated by instant generation, there’s quiet power in stubborn, deliberate craft. Every curve and detail exists because a designer cared enough to think about it. We let algorithms handle the contrast math, but humans shaped the soul.
A design system only feels alive when people can actively tear it apart and remix it. Take it somewhere we could have never expected. Emoji don’t belong to anyone. They belong to the people who use them. To keep Noto dynamic, we’re handing over the keys: The Noto 3D library will be entirely open source.
Alongside their rollout across Google and Android, you can find the new emoji files on our Github page, free for the creative community to use.
Go make something weird. ⛲
Where to find Noto 3D: You can find the entire Noto 3D emoji collection here. They are rolling out across Google apps, Android, and select devices from partners including Nothing, Lenovo, Xiaomi, OPPO, OnePlus, realme, vivo, iQOO, HONOR, TECNO, Infinix, itel, Motorola.
Hero animation by Payton Meyer




