14 Most Used AI for Music Production, Mixing and Mastering

• Facebook
• WhatsApp

Below are the 14 most used AI for Music Production, Mixing and Mastering 

,  the field of AI for music production is rapidly evolving, with a growing number of tools designed to assist musicians, composers, and even non-musicians in creating various forms of audio. These AI systems leverage machine learning, deep neural networks, and algorithmic composition to analyze, generate, and manipulate musical elements. 

Here’s an extensive discussion of several 14 most used AI for Music Production, Mixing and Mastering prominent AI music generators and related tools: 

Suno AI

Overview: Widely considered one of the leading AI song generators, Suno AI focuses on creating full songs, including vocals and instrumentation, from text prompts or lyrics. It’s known for its ability to generate surprisingly coherent and musically diverse tracks. 

Features 

1. Text-to-Song Generation: Users can simply type in lyrics or a description of the desired song, and Suno will generate a complete musical piece. 

2. Style and Genre Selection: Offers options to specify musical styles and genres, influencing the overall sound of the generated track. 

3. Vocal Generation: A key differentiator is its ability to generate sung vocals that fit the music and lyrics, making it a powerful tool for songwriting. 

4. Ease of Use: Designed to be user-friendly, allowing individuals without extensive musical training to create music. 

5. Cost-Effective: Offers various plans, including affordable options for generating a significant number of songs. 

Udio 

A direct competitor to Suno AI, Udio also focuses on generating music from text prompts, aiming for high-quality and diverse outputs. It’s quickly gaining recognition for its advanced capabilities. 

Features 

1. Advanced Text-to-Music: Employs sophisticated AI models to translate natural language descriptions into musical compositions. 

2. High-Quality Audio: Focuses on producing professional-sounding audio with good fidelity. 

3. Genre and Mood Control: Allows for detailed specification of genre, mood, and instrumentation to guide the generation process. 

4. Rapid Development: Continuously evolving with new features and improvements in music generation quality. 

Soundraw.io, Soundraw is an AI music generator primarily focused on providing high-quality, royalty-free background music for various uses like videos, podcasts, and presentations. It emphasizes customization and ease of use. 

Features 

1. Mood, Genre, Theme Selection: Users can select desired mood, genre, and theme to quickly generate suitable music. 

2. Customization Options: Allows users to customize aspects like length, tempo, and instruments, and even rearrange song structures (e.g., shorten intros, move choruses). 

3. Royalty-Free: All generated music is royalty-free and safe for commercial use, with the option to monetize songs on streaming platforms. 

4. API Access: Offers API access for businesses looking to integrate Soundraw’s technology into their own products. 

5. Human-Trained AI: Claims their AI model is trained on original beats created in-house by real producers, ensuring unique and copyright-clear outputs. 

AIVA (Artificial Intelligence Virtual Artist) 

One of the pioneering AI music composition assistants, AIVA has been trained on a vast dataset of existing musical compositions. It excels at generating music in various styles, often with a focus on classical and cinematic scores, but also capable of other genres. 

Features: 

1. Instant Music Generation: Can create new compositions in over 250 styles within seconds. 

2. Style Model Creation: Users can craft their own style models or upload influences in audio or MIDI format to guide AIVA’s composition. 

3. Editing Capabilities: Provides tools to edit generated tracks, offering a degree of human intervention and refinement. 

4. Multiple File Formats: Supports downloading generated music in various file formats. 

5. Focus on Emotional Depth: Aims to create music with emotional nuances, which is a common challenge for AI-generated music. 

Amper Music 

Amper Music is an AI-powered music creation tool that allows users to compose original music by selecting genre, mood, and length. It focuses on providing customizable, royalty-free music for creators. 

Features: 

1. Customization: Users can customize track parameters like length, structure, instrumentation, and mood to match their specific narrative. 

2. Royalty-Free Licenses: Offers global perpetual licenses and royalty-free access, ensuring music can be used without limitations or additional costs. 

3. API Availability: Provides an API for advanced users to integrate Amper Music’s capabilities into their projects. 

4. User-Friendly Interface: Designed for ease of use across all skill levels. 

Boomy 

Boomy is an AI music automation tool that allows users to create original songs in seconds and even distribute them to major streaming services, offering a share of royalties. It’s designed to be highly accessible for anyone wanting to create and release music. 

Features: 

1. AI-Driven Generation: Utilizes machine learning to produce original compositions without requiring technical expertise. 

2. Streaming Integration: Seamlessly integrates with major streaming services, allowing users to distribute their AI-generated music and potentially earn royalties. 

3. Unique Styles: Offers various style options, from “Relaxing Meditation” to “Electronic Dance” and custom choices. 

4. Royalty-Free Music: Paid subscribers typically own full commercial rights to their downloaded songs. 

5. Community and Collaboration: Provides features that allow for collaboration on song creation. 

Ecrett Music 

Ecrett Music is a simplified AI music generator that focuses on creating royalty-free background music. It emphasizes ease of use, allowing users to select a scene, mood, and genre to generate tracks. 

Features: 

1. Scene, Mood, Genre Selection: Simplifies music generation by allowing users to choose these parameters, making it intuitive for content creators. 

2. Royalty-Free: All generated music can be used for personal or commercial projects without copyright concerns. 

3. Extensive Music Library: Boasts a large library of music patterns, with new tracks added regularly, providing a wide variety of styles. 

4. Customization Options: Allows users to tweak instruments and composition to fit their needs. 

5. Cross-Platform Compatibility: Designed to integrate easily with other music software. 

Splash Pro 

While “Splash Pro” in the search results primarily points to a water heater, there is an AI music tool called “Splash” (which may be related or a previous iteration of what’s now known as Splash Pro in the AI music context). Assuming the user is referring to the music generation tool, Splash has been focused on interactive and real-time music creation, often used in gaming or live performance contexts. 

Features (based on typical AI music tools with similar names): 

1. Interactive Music Generation: Aims to allow users to interact with and influence music generation in real-time. 

2. Gaming and Performance Focus: Often designed for integration into games or live performance setups to create dynamic soundtracks. 

3. AI-Powered Sound Design: Beyond just music, it might also generate sound effects or ambient textures. 

4. Accessibility for Non-Musicians: Focuses on enabling creative expression for a wider audience. 

Google Magenta & Magenta Studio 

Google Magenta is an open-source research project that explores the role of machine learning as a tool in the creative process, particularly in art and music. Magenta Studio is a collection of music creativity tools built on Magenta’s open-source models, often available as plugins for Digital Audio Workstations (DAWs) like Ableton Live. 

Features (Magenta Studio): 

1. Continue: Uses recurrent neural networks (RNNs) to generate notes that follow an existing drum beat or melody, extending clips by up to 32 measures. 

2. Generate: Creates a 4-bar phrase without any input, acting as a source of inspiration or for breaking creative blocks. It uses Variational Autoencoders (VAEs). 

3. Interpolate: Takes two musical inputs (e.g., drum beats or melodies) and generates new clips that combine their qualities, allowing for smooth morphing between ideas. 

4. Groove: Adjusts the timing and velocity of a drum clip to impart a more “humanized” feel, trained on real drummer performances. 

5. Real-time Interaction: Recent developments like Lyria RealTime VST and Magenta RealTime focus on real-time control and interactive music generation through text prompts and musical parameters.Open-Source Nature: Encourages research and development within the AI music community. 

Jukebox (OpenAI) 

Jukebox is a significant deep learning model from OpenAI that generates music with singing in the raw audio domain. It’s unique in its ability to produce high-fidelity and diverse songs, often with coherent structures lasting several minutes. 

Features: 

1. Raw Audio Generation: Generates music directly in the raw audio domain, allowing for more nuanced timbral and textural details compared to MIDI-based approaches. 

2. Singing Generation: A major breakthrough is its capacity to generate singing that fits the music, and can be conditioned on unaligned lyrics for greater control. 

3. Artist and Genre Conditioning: Can be steered to generate music and vocal styles mimicking specific artists or genres. 

4. Long-Range Coherence: Capable of producing coherent musical structures over multiple minutes, a challenge for many generative models. 

5. Diverse Outputs: Can produce songs across highly diverse genres like rock, hip-hop, and jazz, capturing melody, rhythm, and timbre. 

6. Novel Continuations and Riffs: Can generate completions of existing songs or explore various continuations from incomplete ideas. 

DADABOT 

DADABOT is a unique project that blurs the lines between a band, a hackathon team, and a research lab. It focuses on using deep learning algorithms (like WaveNets, NSynth, and SampleRNN) to program AI to create and replicate music, often specializing in extreme genres like death metal, math rock, and black metal. 

Features: 

1. Raw Audio Neural Networks: Generates raw audio music using architectures like SampleRNN, capturing detailed acoustic timbres beyond what MIDI offers. 

2. 24/7 Livestreaming: Known for powering continuous, ever-evolving AI-generated music livestreams. 

3. Genre Specialization: Excels in generating music in specific, often complex and extreme, genres like death metal, mathcore, and breakcore. 

4. Unsupervised Learning: The models learn from raw sound data without explicit rules about music theory or MIDI. 

5. Artist Collaboration and Inspiration: Acts as a creative tool for human artists to explore new sounds and experimental projects. 

6. Free Access: Generally available for free, with public music streams and open research. 

Humtap 

Humtap is a mobile-first music creation app that aims to make real-time music creation accessible to everyone. It uses human voice input (humming or tapping) augmented with AI and algorithmic composition to generate music. 

Features: 

1. Voice-Driven Input: Users can hum or tap a rhythm, and the AI will generate a complete musical piece around it. 

2. Instant Music Creation: Designed for on-the-fly music generation, making it quick and easy to create short musical ideas. 

3. Video Synchronization: Can automatically fit generated audio to uploaded videos, making it suitable for creating soundtracks for online content. 

4. Social Sharing: Facilitates sharing created music videos on social media platforms. 

5. Accessibility: Aims to break down barriers to music creation for non-musicians. 

Orb Plugins (Orb Composer) 

While the search results show “VC Orb” which is an After Effects plugin for 3D spheres, there is an AI music composition software called Orb Composer. Assuming the user is referring to Orb Composer, it’s a tool that helps composers create complex orchestral arrangements and other musical pieces by generating ideas and structures. 

Features (Orb Composer): 

1. Intelligent Music Composition: Goes beyond simple loops, generating melodies, harmonies, and rhythms with a deeper understanding of music theory. 

2. Orchestration Support: Particularly strong in creating rich and detailed orchestral arrangements. 

3. Genre and Style Customization: Allows users to define musical genres, moods, and characteristics. 

4. Workflow Integration: Designed to integrate into existing music production workflows, often by exporting MIDI files. 

5. Human-AI Collaboration: Aims to assist composers by generating ideas that they can then refine and develop. 

Impact of AI on Music Production: 

AI is significantly impacting music production in several ways: 

1. Increased Accessibility: It democratizes music creation, allowing individuals without formal musical training or expensive equipment to produce professional-quality audio. 

2. Enhanced Efficiency: AI tools can automate time-consuming tasks like mixing, mastering, and generating basic tracks, freeing up artists to focus on creative aspects. 

3. Creative Inspiration: AI can serve as a powerful muse, suggesting melodies, chord progressions, or even entire backing tracks, helping artists overcome creative blocks and explore new musical directions. 

4. New Soundscapes: AI can generate entirely novel sounds and musical structures that might be difficult or impossible for humans to conceive traditionally. 

5. Restoration and Enhancement: AI is used for tasks like isolating vocals, removing noise from old recordings, and enhancing audio clarity. 

6. Challenges: Despite the benefits, challenges remain, including concerns about copyright and ownership of AI-generated music, the potential for homogenization of sound, and the debate about the “soul” or emotional depth of AI compositions compared to human-made music. 

The future of music production with AI is likely to involve a collaborative synergy between human creativity and intelligent algorithms, with AI acting as a powerful assistant and an inspiring creative partner.