3 Practical Tips to Boost Your Business with AI Voice Cloning Technology

Paulina Lewandowska

15 Mar 2023
3 Practical Tips to Boost Your Business with AI Voice Cloning Technology

Introduction

AI Voice cloning technology has been gaining popularity in recent years, and for good reason. With the ability to create realistic and natural-sounding voices, businesses can now leverage this technology to enhance their customer experience and improve their bottom line. In this blog post, we'll explore three practical tips for using AI voice cloning technology to boost your business. So whether you're a small business owner or a large corporation, read on to learn how you can take advantage of this game-changing technology.

Types of AI voice cloning technology

Text-to-speech synthesis is a sort of AI voice cloning technology. In order to do this, a computer program that can read text aloud in a certain voice must be developed. To produce speech that resembles a particular person's voice, the program examines the text and applies algorithms. This can be helpful for developing personal voice interfaces or more realistic virtual assistants. 

Voice conversion is a different subset of AI voice cloning. This is taking a vocal recording of a person and altering it with algorithms to create a different voice. This can help create text-to-speech software that sounds more realistic by, for instance, changing a robotic voice into a more human-sounding one.

Prime Voice AI

Prime Voice AI is an example of a product which is a game-changer in AI voice cloning technology. This sophisticated and adaptable software created by Eleven uses deep learning models to produce human-like intonation and inflection with unmatched fidelity. The generation of high-quality spoken audio in any voice and style for a variety of applications, including narrative, news stories, newsletters and blogs, audiobooks, and more, is now possible for content producers, publishers, and developers. 

One of Prime Voice AI's key benefits is its capacity to produce emotions and laughter in AI-generated voices, which makes the audio content more interesting and lifelike. Using the tool's generative model, users can also copy already-existing voices from samples or build brand-new synthetic voices from start.

Also, the program provides a cutting-edge text-to-speech (TTS) model that enables users to turn any written work into flawless professional audio at a fraction of the time and cost often associated with recording. Moreover, Prime Voice AI includes a voice lab where users may clone and build artificial voices as well as a Projects workstation where users have complete control over the creative process and can guide and edit narration.

How AI cloning technology can improve your business?

Here are 3 practical tips on how your business can benefit from this cutting-edge technology:

Personalized Customer Support

AI voice cloning technology can be utilized to build virtual assistants that can offer customers customer care that is tailored to their needs. The virtual assistant can serve clients in a more personalized and effective way by mimicking a company representative's voice. It is possible to program the virtual assistant to respond to frequently asked inquiries, offer information about the products, and even address consumer concerns. This may boost customer retention and improve customer satisfaction.

Audio Marketing

Audio commercials can be produced using AI voice cloning technology that seem more realistic and interesting. The ability of the technology to duplicate a firm spokesperson's or brand ambassador's voice helps strengthen connections with the target market. This may help to raise brand recognition, foster trust, and eventually enhance sales.

Language Localization

Audio content can be globalized for many locales and languages using AI voice cloning technology. To produce audio material that resonates better with the local audience, a business can, for instance, clone the voice of a local spokesperson or star. This can help to build brand awareness across several geographies and boost the efficacy of marketing campaigns.

How far are we?

Users can currently clone their own voices or already-existing voices from samples using the voice cloning tool. We may state that we are quite advanced in this field based on the fact that the tool uses a cloning model that can learn any speech profile based on just a minute of audio, without the requirement for training. 

To examine and understand the voice rhythms, intonation, and other speech traits of the target voice, deep learning models are used. The cloned voice that emerges is incredibly realistic and suitable for a range of uses, including voice acting in video games and other media as well as audiobooks and podcasts.

Additionally, the product offers a voice lab with more sophisticated features for voice cloning and artificial voice generation. With the help of this function, users can generate brand-new synthetic voices from scratch or alter pre-existing voices to produce distinctive and individualized sounds. The voice lab feature is very sophisticated and needs some technical know-how, but it gives users a lot of flexibility and creative freedom to produce original and compelling audio content.

Conclusion

In conclusion, AI voice cloning technology imitates and mimics a person's speech using artificial intelligence algorithms. With the aid of this technology, a computer program may listen to audio recordings of individuals and then produce fresh speech that sounds just like them. With the help of deep learning models, which study and learn speech patterns and voice patterns, it is now possible to copy existing voices from samples or even an individual's own voice. The cloned voices that are produced are incredibly realistic and can be used in a variety of contexts, including podcasts and audiobooks. Those who wish to produce original and captivating audio material have more flexibility and creativity thanks to sophisticated features like voice labs.

Lately, we also published a list of AI tools which streamline and accelerate everyday work, check on here.

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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

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AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series