MusiFi: AI Music Generator & Music Editor App Development

According to US market research, the AI-generated music market is expected to reach up to $3.1 billion by 2028. Hence our client decided to make an AI Music Generator App to allow budding stars and music lovers to create unique music, tunes, or lyrics according to their creativity.

A Challenge to Create an AI Music Generator App:

As the AI industry is constantly changing and upgrading day by day, there were obviously multiple challenges while developing this AI music generator app. First, this mobile app development needed an AI model that is capable of composing diverse music styles while maintaining coherence, structure, and creativity. We implemented RNNs, GANs, and VAEs to create unique soundtracks by giving inputs with voice and data sets. The client wanted to develop this AI song generator app within a limited budget, but making this app required skilled musicians and sound engineers to validate and refine AI-generated outputs. Another requirement was fast, real-time music generation without delays, but our team was able to optimize AI inference and cloud infrastructure as the client demanded.

AI Song Generator App Implemented By Our Team:

As a leading mobile app development company, we have experience in iOS app development solutions as well as Android app development solutions. The client wanted an AI Song Generator App cross-platform that can be used by both iOS and Android users. Our team at Manektech started with thorough research about various ai apps that generate music.  It was difficult to balance the client’s budget and quality, but somehow, our experienced team managed to do it.

We started with collecting data sets of music samples from various sources to add relevant functionality related to music like pitch, rhythm, tempo, and more. We compared various AI models and found the GAN model to be most relevant for automatic music generation. Keeping the client’s need in mind, our dedicated developers created a music algorithm, trained the AI model by inputting relevant data sets, and tested how it creates tunes, music, background songs, lyrics suggestions, and more.

Our design team has gone through some of the best AI music generator apps and decided to choose a minimal design UI for easy and focused navigation. We integrated relevant APIs to the app that allows users to generate music and save the preference.

This app can also work as a Music Editor App that allows users to edit their music and personalize it according to taste and requirements.

Based on the challenges, client concerns, and current market state, our development team built the following list of features.

AI Song Generator App Key Features:

1. Create Account

If the user is new, he/she needs to create an account first using their email ID or phone number.

2. Login

This allows users to log in to the music generator app.

3. Choose Template

Users can choose the suitable music template according to music genre such as rock, jazz, classical, electronic, etc.

4. Instrument Selection

A user can pick from various musical instruments available for the music they want to make. E.g., acoustic or electric versions of guitars, melodies, harmonies, among others.

5. Text to Music

These are the ways in which users are able to interpret the songs they like from the topline texts and from the dataset.

6. Voice to Instrument or Voice

It combines ML and NLP to transcribe the voice into an instrumental or vocal music and grasp the user's musical preference and even assess the patterns of choice.

7. Customize Music Parameters

The user can adjust tempo, key, mood, chord progression, intensity of beats, instrumentation, etc.  based on the application.

8. Real-Time Music Generation & Editing

Users can make good use of a built-in waveform to easily make and edit the tracks in the shortest time possible.

9. Subscription Models

It includes free, premium, AI-generated music licensing for commercial use.

10. AI-Powered Sound Effects & Background Scores

This function will offer sound effects on the basis of the music theme, style, and the choices of the users.

Results of Music Editor App

Our AI Music Generator App gave impressive results in the music industry and was much appreciated by users.

• Enhanced User Engagement: The simple and attractive design gave up to a 70% user engagement in the first three months.
• High-Quality AI Compositions: The client got a positive response from over 90% of users, who reported satisfaction with the AI-generated music quality.
• Revenue Growth: Due to the freemium model, the app achieved a 150% increase in revenue within six months.
• Industry Recognition: This AI Song Generator App got noticed by popular musicians, music producers, and content creators. Which opened the door for partnerships.
• Scalability Achieved: The cloud-based infrastructure helped to handle up to 50,000 active users without major infrastructure expenses.

Technologies and Tools:

• Programming Languages: Python, JavaScript (React Native for front-end, Node.js for back-end)
• Cloud and Infrastructure: AWS, Google Cloud, or Microsoft Azure
• Audio Processing: Librosa, FluidSynth, FFmpeg
• Database: MySQL, MongoDB
• Real-Time Processing: WebSockets, Redis