How AI Can Transform Content Apps: Enhancing UX with Summarisation, Smart Search, and Translation
In today’s fast-evolving tech landscape, AI has emerged as a powerful tool in the content and text sector. From news apps to SaaS platforms, integrating AI into products can radically improve the user experience. In this blog, I want to share my latest exploration of how AI can enhance the UX of a SaaS application in the content space. Let’s dive in and discover how these AI-driven features can take your product to the next level!
Imagine This: A News App with AI-Powered Features
Picture yourself using a news app, reading an article that’s long and detailed. You’re short on time but want a quick summary. This is where the “Summarize Article” feature comes into play, providing you with a concise, 5-point summary at the click of a button.
This might sound like a common AI feature, but the real magic happens with more advanced AI applications.
Unlocking AI Magic: Search and Translate
Let’s take things a step further. Imagine the user selects a specific word or phrase in the article—what happens next? This is where the real AI innovation shines.
Case 1: Smart AI Word Search
When a user selects a word (e.g., “Meta”), they are presented with two options: Search or Translate. Choosing the Search option activates the AI to scour the web and present contextual information, but here’s the twist—this information is visually structured and tailored to the user’s previous requests, personalizing the experience.
For example, if the user selects “Meta,” the AI retrieves and displays information in an engaging, easy-to-digest format:
• Row 1: A stock card showing Meta’s current stock price and relevant company info.
• Row 2: General company details, key facts, and highlights.
• Row 3: Unique data such as the CEO’s image, their net worth, and recent company events or product launches.
This multi-layered presentation makes the information:
1. Visually organized for quick comprehension,
2. Delivered in manageable bits that aren’t overwhelming, and
3. Displayed directly within the app, keeping users engaged without navigating away.
The idea draws inspiration from platforms like Perplexity for search formats and Google Gemini Search for contextual results, demonstrating how AI can optimize information delivery within the user’s current view.
Case 2: AI-Powered Translation with Personalization
Translation is another common AI use case, but I’ve designed it to be frictionless and more personalized. When the user selects a string of text, the AI recognizes the selected text’s language and offers a list of translation options.
What makes this experience unique? Personalization. The AI takes into account:
1. The user’s location, and
2. Their primary and secondary languages.
For example, an Indian user might see Hindi as the first translation option by default. In the demo, I translated the text into Japanese, with a seamless experience that allows the user to save the translation as a comment. This removes the need for repeated translations, enhancing convenience and usability.
AI for a Better UX: Practical, Engaging, and User-Centered
The goal behind these features is to showcase how AI can be applied to create meaningful, user-centric experiences within SaaS products, especially in the content sector. From smart summarization to contextual search results and personalized translation, AI can elevate your product’s functionality while keeping users engaged.
I’m Yamparala Rahul, a Product UX Designer with expertise in integrating AI into web and mobile applications. I’m currently open for freelance opportunities, especially for startups and SaaS builders looking to add or improve AI features in their products.
Feel free to connect and learn more at www.yamparala.design/contact
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