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The Role of Typography in UI Design and How to Get Better at It

More than 90% of information on the web is presented in the form of text. “Text” is a medium of communication in the context of web design that attracts the users, holds their attention, conveys a certain emotion, and helps users understand the kind of information provided. Here’s where typography comes into play. It is used to justify the power of the textual content, trigger curiosity, compel the users to continue reading, and ensure a great user experience (UX). 

However, typography involves a lot more than choosing an aesthetic font for your web or mobile UI. The color and contrasts, font scales, white space, alignment, text hierarchy, consistency, and other elements in your typography can enhance usability, clarity, readability, and accessibility within a UI design. A designer’s ability to choose the right typography makes all the difference between a good, bad, and excellent design.

In this blog post, we will explore everything you need to know about typography, its importance in UI design, and how to choose the correct typeface for your web project.

What is Typography?

Most of us are aware of the terminology, but let’s start with the basics.

Typography is the art of arranging textual elements such as typefaces (a set of design features for letters and other characters like spacing, relative size, etc.) in the right combination that aims to convey certain messages to viewers and bring out desired emotions.

Why is Typography so important in UI Design?

When users visit a website or mobile app, they often scan through the pages instead of reading the content line by line to see if it has the information they are looking for. A well-organized and scanable typography can, therefore, serve as a visual communication tool to convey interface text in a clear hierarchy and help impress, engage, and convince users and potential customers, as a result. Let’s see why a good typography is critical for visual design.

1. Communicate clearly

Good typography makes the journey easier for the users, whether they are reading intently or scanning through the content casually. It helps users to skim through the available information and thoroughly read the sections they are more interested in, thereby improving navigability. It also helps the users to get a good hold of the information faster without having to pay more attention.

2. Attract user attention

Today users are spoilt for choice when it comes to the vast number of websites and content on the internet. But it is more likely that they will get more attracted to sources that offer a better visually pleasing experience. The right typography can enable you to set the exact mood of the content for the users by offering a sense of familiarity, desirability, and emotional connection as well as capture attention through the size, weight, color, and spacing of the text.

3. Build Brand Recognition

Brands choose specific fonts and use them across all their communication collaterals to build recognition, a sense of harmony, and consistency throughout the visual design. It helps in offering the users the same brand experience through all channels, be it on-screen or off-screen.

For example, Coca-Cola’s font is instantly recognizable with its Spencerian Script font which gives a consistent experience for users and prospects.

4. Influence Decisions

Typography also plays a crucial role in compelling users to take a desired action (register, sign up for a newsletter, download, share, or buy a product, etc.) on websites and mobile apps. For instance, a limited-time offer or deal when highlighted can convey urgency and persuade the user to take action.

How to Choose the Right Typography for Your UI Project?

When you have a clear understanding of the different essential elements and principles of typography, you can learn how to use it effectively in context through practice. Making the right choice depends on many factors besides the aesthetics, such as:

  • The brand or product personality: Consider what defines the core characteristics of the brand and select typefaces that reflect them.
  • The tone of the brand message: Make sure to choose the typography that is appropriate for the information conveyed by the brand.
  • Functionality: Make sure that the font is legible, readable, and accessible. This is more important than looking stylistically beautiful.
  • Performance: Choose typefaces that are web browser-friendly such as Google fonts. Avoid excess weight!
  • Inspiration: Take some cues from successful examples when you are not sure where to start. Let’s take the example of Airbnb and see some of the elements that make its typography so good and apt.
  • Visual hierarchy and contrast: When users start their journey on your website or app, they are in the discovery stage where they browse through the website content. In this stage, not every information you provide on your UI seems to be important to them. So, the right visual hierarchy can help these users move on to the next stage of the journey.

In the example of Airbnb, we can see that the brand has used only 3 font sizes predominantly. This makes the text clean and consistent. Also, all the important pieces of text that can potentially influence decision-making, are in Semibold and the less important content or the descriptive body is in Regular font. Note that the price at the bottom is given extra visual weight.

  • Leading and Spacing: The characters do not bump into each other and the ample leading space used in the body text makes it very easy to read. The page header, in contrast, has a reduced leading and keeps the text visually together. Use smaller leading for larger font sizes and higher for small font sizes.
  • Legibility: The entire Airbnb page uses the #222222 hex code for black except for the really low-priority text. This makes the text extremely legible.

Conclusion

Visual designers often overlook typography while focusing on graphic design, icons, illustrations, color palettes, and other elements. Good typography can do a lot for your user interface and this is why UI designers treat typography as design and use it for visual impact.

There are a lot many factors to consider when choosing the right typography other than what we have covered in this post. But, focusing on the ones mentioned above can also help improve your design game in one way or another.

Don’t forget to test, test, and test to get useful feedback from real users and take notes from some of your favorite websites and apps to get a clearer insight into what is working, and what you can do further.

About the author 

Shantanu Laha is a Senior UI/UX designer at Mantra Labs. He loves photography and traveling. In his free time, he enjoys cooking and trying out new dishes.

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Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

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