Using AI to Personalize Visual Content for Different Languages and Cultures

AI is everywhere. One day, we just woke up in a world with AI-based tools that answer search queries, work as customer support, and…

Generate content. Translate content. Visual and textual.

And, according to Semrush, they do it really well. Almost 70% of businesses that have adopted AI see an increase in content marketing ROI.

If you’ve decided to include AI-based tools in your content marketing strategy, you should consider using them to target various audiences, not just local ones.

Because AI does a great job of when it comes to the personalization of visual content for different languages and cultures.

In this article, we’ll break down what personalization of visual content is and how AI can help you with that.

What Is Personalization of Visual Content?

Personalization of visual content for different languages and cultures is the process of tailoring content assets, such as pictures, graphics, and videos, to your target audience’s language and cultural norms.

Translating text on images and adding voiceovers is a part of content personalization that also includes cultural adaptation. Adapting visual content requires tailoring style, colors, symbols, and other elements to align with your audience’s cultural preferences and values.

It ensures that your content remains relevant to your target audience and conveys your intended message in a respectful way that resonates with their culture.

What Is AI and How Does It Work?

Artificial intelligence (AI) is a technology that lets a computer act like a human. Think about things you do every day, such as consuming information, analyzing data, and making decisions. AI does all that but on a bigger scale and faster.

The developer team at Hypnopixels, an advanced AI-based platform for visual content creation, explained to us what AI technologies stand behind content personalization:

• • Machine learning (ML) identifies patterns in data. It helps to recognize language nuances and determine visual elements that hold cultural significance.

• Deep learning (DL) lets AI process complex data structures. It allows for a deep analysis of visual and cultural elements. The analysis results are then used to generate highly personalized content for your target audience.

• Language processing (NLP) enables AI to understand and learn human languages. That’s how you get accurate text translations and voiceovers.

• Computer vision (CV) works like a human vision. It allows AI to identify objects, such as cultural symbols, and understand their visual meaning.

How Does AI Help With Visual Content Personalization?

When you bring all AI technologies together, they do wonders for spot-on personalization of visual content aimed at attracting an international audience. Here’s how:

Fast and Accurate Translation 

How much content has text in it? A lot. Website banners, pop-ups, memes, infographics, screenshots, videos with subtitles, and more.

AI-powered translators can handle these large volumes of text. They quickly translate captions and text on images while also taking into account the cultural nuances of your target audience, such as local expressions, slang, idioms, and cultural references. The most advanced tools preserve your writing style and tone of voice, helping to deliver your message more accurately.

Cultural Adaptation of Visual Elements

Many cultures share similarities in beliefs, art forms, and traditions, but we shouldn’t assume that there are universal symbols. Classical, “human” visual content adaption involves in-depth research for that exact reason, and, as we’ve mentioned, AI speeds up this process.

AI-based systems are trained on large visual datasets, which allows them to recommend colors and symbols that align better with the cultural norms of your target audience. This comes down to the tiniest details, such as the emojis you use in email newsletters.

For example, in Greece, the thumbs-up gesture is considered offensive. If you use AI to personalize content, it’ll suggest replacing thumbs-up emojis in your emails with something more appropriate before you send them to your Greek subscribers.

Personalized Recommendations

AI-based targeting systems have become a new trend among advertisers since ML algorithms identify patterns in users’ preferences with high accuracy. The exact same technology can suggest visual content to your customers that resonates with their cultural preferences and interests.

If you’re curious about use cases, check your your phone. Chances are, you’re subscribed to Netflix, and chances are, you’ve noticed how accurate its recommendation system is. That’s AI at work! It analyzes both your cultural background and individual preferences to suggest movies you’d enjoy.

Sentiment Analysis for Visual Content

If you’re unsure about letting AI take the driver’s seat in your content personalization strategy, you might still be interested in its analytical capabilities, particularly sentiment analysis.

In simple terms, these tools tell you about the emotions your content evokes across different cultural groups. These insights let you adjust your visuals during the adaptation phase to see what resonates best with your audience.

Benefits of AI-Powered Visual Content Personalization

Everybody knows the advantages of content localization: you quickly gain traction in new markets, build stronger connections with your audience, and boost conversions. What can AI bring to the table apart from speed? Turns out, quite a lot:

• • Better scalability. When used right, AI can help you create and localize visual content for hundreds of markets while keeping its quality consistent. That will give you a competitive edge over other businesses that haven’t adopted AI-based technologies yet.

• Lower expenses: It goes without saying that using an AI tool is cheaper than hiring a professional interpreter, though you might still need their services to avoid machine errors. We’re talking about another aspect — lower cost per acquisition (CPA). UK companies found that using an AI tool led to a 29% reduction in CPA.

• Increased engagement and loyalty. When you adapt your content to different cultures and languages, you tell your customers, “We see you, we value you, and we want you to have the best experience possible.” This sparks interest in your brand and makes customers stay with you longer.

Challenges in AI-Driven Personalization: What to Watch Out For?

Using A-based tools for personalizing visual content is efficient. You get tons of good content, and you get them quickly. But, the results you get from the AI still require human touch because they’re not perfect. Here are some challenges with AI-driven content personalization:

Data Bias

The accuracy of AI-generated content depends on the data used to train the model. If the dataset contains limited information about the cultural background of your target audience, the AI tools might occasionally produce content that isn’t factually accurate or is culturally insensitive.

Lack of Human Voice

If you’re good at crafting AI prompts, your visual content and translation won’t be different from those created by people, especially if you’re not generating large volumes of content.

The issues start arising when you start generating tons of visuals and text. AI will inevitably repeat itself and use robotic-sounding phrases that lack the human touch. From what we’ve seen, even regular users notice when you rely too much on AI and lose trust in your brand.

Final Words

Entering a new market takes a lot of work. Using AI for the personalization of visual content for different languages and cultures will make everything much easier. If you pair an advanced AI model with professional human translation, you’ll win the hearts of your new customers with personal, engaging, and high-quality visual content.