Artificial IntelligenceGenerative AI

How to Develop an AI Music Generator Like Musicfy?

how-to-develop-music-generator-app-like-musicfy

We all have heard that artificial intelligence can automate work processes, offer customer support, or become a virtual assistant. However, what could be surprising for us all is it can also generate music. This is not merely an assumption or imagination, apps like Musicfy are a real-world example that AI can be used for generating music. 

An AI music generator like Musicfy enables users to create and modify music, imitate different singing styles or popular singers, generate vocals, segregate a song’s elements, and a lot more. The growing popularity of such platforms or virtual assistants is increasing searches for “How To Develop an AI Music Generator Like Musicfy?” in Google and other search engines. 

If you, too, want to develop a similar application or assistant that can generate music and empower users to sing like their favorite singer, this blog is for you. It’s a guide to building an AI music generator similar to Musicfy AI. 

What is Musicfy AI?

Musicfy is an AI-powered voice song and music generator app that empowers users to create music with their voice or other voices such as voices of an artist or celebrity. The app currently has over 3 million users and is free to start with. Users can even transform lyrics into beautiful and melodious songs merely by entering them in the app and choosing the voice artists. 

Apart from artificial intelligence, the core technology that this app relies on is Generative AI. Gen AI generates new vocal tracks that sound like real singers, based on the input provided. Moreover, the technology is also used for turning text-based inputs into desired music. 

Benefits of Developing an AI Music Generator Similar to Musicfy

AI music generator development is not a common practice as of now, and, hence, it can be a unique idea to turn into reality. Startups and businesses can consider developing an AI music generator like Musicfy to make a mark in the industry and grab novel opportunities. 

But these are not the only two benefits or advantages of AI music generator development. Let’s explore some more below:

#1 New Revenue Streams

The core purpose of any app is to generate high revenue for its owner. With AI music generator development, you can generate earn through licensing and sales by making the generator useful for commercial purposes, offering royalties, and direct sales. 

Moreover, you can generate revenue by offering subscription-based services to enable users to access premium services or tools for creating music. 

#2 Competitive Advantage

By integrating your AI music generator with unique features such as creating music or songs in popular singers’ voices or users’ voices, you can not only attract new customers but also make the music generator stand out from the competition. 

It will also help you to position your brand as an innovator in the industry. Apart from this, a successful AI music generator can even enhance a brand’s reputation and customer loyalty.

#3 Improved Productivity

An AI-powered music generator automates music generation, minimizing the workload of human musicians and composers and improving their productivity. Besides, these generators can handle increased demand without impacting the cost of music generation. 

For example, if you have to prepare three songs, it might require three different musicians or singers. However, the same can be done effortlessly with a single AI music generator. It increases the chances of the music generator’s success. 

#4 Market Expansion

Apart from the entertainment sector, music is required in many industries, including gaming and advertising. By investing in an AI-powered music generator development, you can cater to multiple industries, which will not only increase your reach but also offer new opportunities for growth, profitability, and success. 

#5 Data-Driven Insights

Leveraging artificial intelligence for music generation can contribute to offering tailored services by understanding users’ preferences, interests, and trends. Moreover, feedback collected by AI can also be used to improve the music generator. All these points pave the way for success for your AI music generator like Musicfy. 

Top Technologies Required for AI-Powered Music Generator Development 

Choosing the right technology stack is crucial for any app or tool development, including an AI-powered music generator development. Therefore, we have listed below the technologies used for building such a tool. 

Please note that the tech stack given below may vary depending on your unique requirements for building a music generator tool backed by artificial intelligence. 

Machine Learning PyTorch, TensorFlow, and Keras – For building and training AI models.
Generative AI ModelsRNNs, GANs, and VAEs – To generate unique music compositions and soundtracks with text or voice inputs.
Music Information Retrieval Adding MIR techniques to empower the tool or music generator to assess musical elements and design music. 
Natural Language ProcessingTo understand the meaning and intent of users’ inputs and respond accordingly to generate custom music.
Cloud AWS, Google Cloud, or Microsoft Azure to make the music generator accessible across devices and platforms. 
Front-endHTML, CSS, JavaScript, React, Angular, and more to design an intuitive and interactive interface. 
Back-endPython, Java, Node.JS, etc., for smooth functionality of the music generator.
DatabasesMySQL, MongoDB, and more for secure data management.
Audio Processing LibrariesLibrosa, Essentia, and more to manage musical data efficiently without compromising the quality.

Development Process for AI Music Generator Like Musicfy

Here is the step-by-step process for building an AI music generator such as Musicfy:

Step 1: Collect and Prepare Data

The first step is to collect large datasets of different music samples. Include various music genres, styles, and instruments. These datasets will be used to train Gen AI models. Make sure the data in these datasets is structured, accurate, and bug-free. Prepare the data to fetch relevant features, such as pitch, rhythm, tempo, and more. 

Step 2: Select and Train Models 

In this step, choose the right neural network and gen AI models from RNNs (Recurrent Neural Networks) or GANs (Generative Adversarial Networks) to perform automated music generation. Once selected, train this model on the refined datasets using appropriate techniques.  

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Step 3: Develop an Algorithm

An AI music generator like Musicfy should be able to generate coherent music. To make this possible, include various music theory concepts, including chords, scales, and progressions into the algorithm. Also, integrate features using which users would be able to modify generated music’s style, instrumentation, and tempo. 

Step 4: Design the UI

The user interface of any application or tool plays a pivotal role in its success. While designing the user interface for your AI music generator, focus on making it simplified yet appealing. Offer various options so that users can customize the generated music and save their preferences to enjoy a personalized experience. 

Step 5: Development 

Build the AI music generator using the appropriate technology stack to ensure its seamless functionality and lifelong success. Ensure it has exceptional features to offer users a never before experience and give your business maximum ROI. Build required APIs to integrate the music generator with other music production software and platforms. 

Step 5: Testing 

Look for bugs and glitches in the AI music generator you have developed in the previous step. Conduct multiple tests to verify its security, accessibility, performance, and functionality across all targeted devices and platforms. Make necessary changes, if required.

Step 6: Launch 

This step involves launching your AI-enabled music generator onto suitable platforms like web, mobile, desktops, or cloud. Make sure you follow the submission guidelines to ensure its successful launch. 

Step 7: Ongoing Support and Maintenance

Continuously monitor your artificial intelligence-powered music generator for glitches and performance optimization. Identify bugs and troubleshoot them before they impact users’ experience. Update it with new features with evolving market trends and users’ expectations. 

AI Music Generator Development: Features You Should Add for its Success

Other than just Logging in, Logging out, and social sharing, below are the features of AI Music Generator that can increase the chances of its success. Consider adding them when you build an AI Music Generator:

Choosing Music Style and Genre

Offer users an option to choose from different music styles and genres, including classical, pop, rock, and jazz. Also, provide them the flexibility to customize the created music to make it a perfect fit for their needs. Ensure your music generator powered by AI can also create rhythmic patterns to match different styles. 

Melody and Harmony Generation

It includes equipping your AI music generator with the ability to create melodious lines and harmonic progressions that can content users. Make sure that users can make adjustments like tempo, key, and scale to enhance the generated music. 

Instrumentation and Sound Design

When you build an AI music generator like Musicfy, don’t forget to add a library of virtual instruments to enable users to create different sounds. Ensure that the sound of various instruments can be customized based on the needs. 

AI Vocal Generation

AI music generators should be able to create realistic-sounding vocals. You can add it as a standalone feature or component of a larger composition. Offer users the flexibility to tailor the vocal style, pitch, tone, and other elements of generated vocals. 

Integration with Music Production Software

This is not just unique but an essential feature of a Musicfy-like AI music generator. It makes the generator compatible with popular music production tools and software for seamless workflow and transfer of AI-generated music into software. 

Text-to-Music or Voice-to-Instrument/Voice

Make sure your AI music generator can convert text inputs into music or voice inputs into instrument or voice music. Also, leverage machine learning and deep learning to make your music generator auto-learn from user feedback and improve its performance over time. 

Community Space

Create a dedicated space for your members to connect and share their AI-generated music or instrumentals. They can collaborate to discuss and explore the app’s unique features over time. It will improve the engagement and popularity of your AI music generator. 

Also Read: How to Build an AI Note-Taker App like tl;dv?

Use Cases of AI Music Generator Across Different Industries

As aforementioned, an AI music generator can be used across various industries. Let’s check out its use cases in education, social media, advertising, gaming, and more:

IndustryUse Cases or Applications
Social MediaBloggers, Youtubers, and other content creators and social media professionals can use AI music generators to create unique music that matches the intent and messaging of their content. 
Music and Entertainment Musicians and composers can generate novel musical compositions by choosing from a large array of musical templates and styles. AI in the music industry allows professionals to experiment with different sound or voice styles and tones. 
Advertising AI music generators can generate impactful music or jingles for commercials considering the target audience and other specific requirements provided by advertising professionals.
Education AI music generation in the education sector can be used to educate students about different music theories and compositions. Instructors can make students learn deeply about various music practically. 
Event ManagementFor events, AI music generators can help in creating custom music playlists for different events. Event planners can even create transitions between different songs or music to deliver an engaging and immersive experience. 
GamingMusic generators powered by AI can take video gaming to a whole new level by creating out-of-the-box soundtracks that fit perfectly with the game elements. Game developers can integrate different sounds and music during specific scenarios, actions, and events to enhance gameplay. 
FitnessAI music generators can be used to generate workout playlists depending on the type of workout such as yoga, meditation, HIIT, and more. It can improve the intensity of the workouts and also motivate fitness freaks. 
Therapy and WellnessAI-powered music can create calming music to be used during various therapies and to construct a pleasant and peaceful ambiance during relaxation and stress reduction sessions.  

Similar Read: How Can Various Types of Artificial Intelligence Help Businesses

Music Generators Powered by Artificial Intelligence: The Top 5 List 

Before you actually proceed to AI music generator development like Musicfy (one of the popular music generators), it is crucial to learn about your competitors. For this, you don’t need to research separately as we have assembled the the top five, other than Musicfy, in this guide to AI music generator development:

  1. AIVA

AIVA stands for Artificial Intelligence Virtual Artists. As the name suggests, it enables musicians, content creators, and other individuals to create music for their personal or business use. Some of its key features include:

  • Emotional music composition
  • Classical and orchestral focus
  • Fine-grained control over musical elements
  • Score creation
  1. SoundRaw

It’s a popular music generator powered by AI that enables users to generate background music and tracks based on their custom needs. Here are the features that make SoundRaw apart from others:

  • Browser-based music editor
  • Manual editing of AI-based composition 
  • Tailored music generation 
  1. Soundful

This famous AI music generator allows users to generate royalty-free background music for videos, podcasts, and other purposes. It generates top-quality music with an extremely simplified process. Its key features include:

  • Template-based music creation
  • Royalty-free monetization support
  • AI-powered personalization
  • Production-ready track generation
  1. Beatoven

Beatoven is another powerful music generator that leverages AI so that users can create unique and customizable soundtracks for personal and commercial purposes. Some of its highlights are:

  • Beat customization
  • Adaptive AI composition
  • Genre-specific templates
  1. Moises.AI

Moises.AI is a feature-rich music generator that also offers audio separation and analyzing music features. Users can use it to create remixes, raps, and other types of music. Here are its unique features:

  • Audio separation
  • Real-time processing
  • Auto-detection of tempo and keys
  • Generating stem

How to Choose the Best Technology Partner to Create an AI Music Generator Similar to Musicfy?

If you don’t want to build an AI music generator by yourself, simply connect with a reliable technology company for the same. An experienced one will collate and analyze your requirements, research the market trends and competitors’ offerings, design an intuitive interface and user experience, and develop a successful music generator. 

But the question that pops up in the minds of most readers is how to determine or find the best AI development company. Well, the answer is quite simple- by considering the below-given points:

  • Search for a company with strong domain knowledge and in-depth expertise in artificial intelligence, generative AI, natural language processing, machine learning, music technology, and other top technologies given in this blog. 
  • It would be an advantage if the company has prior experience in building either an AI music generator or remarkable projects in AI and generative AI.
  • Make sure the company focuses on scalability and customization in their projects. 
  • Select a company or hire AI developers who are open to collaboration and feedback, and can fit into your business culture (applicable if you hire developers).
  • Review their data security and privacy techniques.
  • Make sure the company signs a non-disclosure agreement. Clearly mention ownership and licensing agreements. 
  • Explore their pricing plans and structures thoroughly before you outsource your AI music generator development project. You can even ask the company about the cost of developing an AI music generator. 

Bottom Line

AI music generators like Musicfy are no less than a boon that empowers individuals and professionals to create, compose, and modify music. These generators include several interesting features, from generating original compositions to customizing existing tracks. 

This blog is a detailed guide for those interested in learning everything about AI music generator development, including benefits, key features, stepwise process, necessary technology stack, and even a brief about the top AI music generators. Additionally, we’ve provided points to consider when you choose to partner with an AI development company to develop an artificial intelligence-powered music generator.