AI-based music, song, and audio creation software

AI-based music, song, and audio creation software across various categories like composition, vocals, mixing, and more.

AI Music Composition & Generation Tools

AIVA — AI composer for creating orchestral, cinematic, and pop music.
Amper Music — AI music composer that generates royalty-free tracks.
Jukedeck (acquired by TikTok) — AI-generated music tracks.
Soundraw — AI-powered music generator customizable by mood and style.
Boomy — Create original songs instantly with AI and publish them.
Ecrett Music — AI music creation for videos and games.
Endlesss — AI-assisted collaborative music creation platform.
Melobytes — Generates music based on text or images.
Magenta Studio (by Google) — Music generation and editing tools using machine learning.
Humtap — AI music creation with a focus on social sharing.

AI Vocal Synthesis & Song Creation

Synthesizer V — High-quality AI singing voice synthesis.
Vocaloid — Famous voice synthesizer used to create singing vocals.
Emvoice One — Vocal synthesis plugin to create human-like singing.
Alter/Ego — Real-time vocal synthesis software.
OpenAI Jukebox — AI model generating raw audio including singing.
AI Vocal Remover — AI tools to isolate or remove vocals from songs.

AI Beat and Instrument Generation

Landr Beat Maker — AI-powered beat and loop generator.
Humtap — AI-generated beats with customizable genres.
Alysia — AI songwriting assistant generating melodies and lyrics.
Splash — AI music creation for gaming and social platforms.

AI Audio Mixing, Mastering & Enhancement

LANDR — AI-driven mastering platform.
iZotope Neutron — AI-assisted mixing tools.
iZotope Ozone — Mastering with AI-powered features.
Adobe Enhance Speech — AI for improving speech clarity in audio.
Crisp.ai — AI noise cancellation and audio enhancement.

Experimental and Research Tools

Google Magenta — Open source tools for music and art generation.
OpenAI MuseNet — AI music generation with multiple instruments and styles.
Riffusion — Generates music based on AI-created spectrogram images.

1. AIVA (Artificial Intelligence Virtual Artist)

What it is:
AIVA is an AI-powered composer specialized in creating orchestral, cinematic, and classical-style music, but it can also create pop and other genres.

Features:

Generates original compositions using deep learning models trained on classical and modern music scores.
Offers different music styles: classical, cinematic, pop, jazz, and more.
Provides MIDI and audio exports, which users can further customize.
Allows users to input seed melodies or harmonies to guide the composition process.
Ideal for film scoring, game soundtracks, or commercials.

How it works:
AIVA’s neural network analyzes vast datasets of music scores, learns patterns, chord progressions, and stylistic nuances, then generates new music in similar styles. Users can specify parameters like tempo, mood, and instrumentation.

2. Amper Music

What it is:
Amper is an AI music composition platform that helps users create royalty-free music tracks quickly without needing music knowledge.

Features:

Generates fully produced tracks based on user-selected mood, genre, and length.
Intuitive interface for easy customization of instrumentation and arrangement.
Tracks are royalty-free for commercial use.
Export options in WAV or MP3 formats.
Collaboration features for teams working on projects like videos or podcasts.

How it works:
Users select parameters like genre (e.g., pop, cinematic), mood (e.g., happy, dark), and duration. Amper’s AI uses these inputs to algorithmically compose and arrange music with pre-recorded samples and AI-generated melodies.

3. Jukedeck (acquired by TikTok)

What it is:
Jukedeck was one of the first AI music generators that allowed users to create custom royalty-free tracks for videos.

Features:

User-friendly interface to create music by selecting genre, tempo, and mood.
Created original music compositions instantly.
Integration with video platforms for content creators.

How it worked:
Jukedeck used machine learning models trained on thousands of music samples to generate new music in real-time based on user inputs. After acquisition by TikTok, it became part of TikTok’s internal tools for music creation.

4. Soundraw

What it is:
Soundraw is an AI music generator focused on giving users control to customize generated music by mood, genre, and structure.

Features:

Real-time music generation that can be adjusted on the fly.
Customizable elements like length, instruments, and tempo.
Offers royalty-free music for commercial use.
Suitable for content creators, marketers, and filmmakers.

How it works:
Users pick style and mood, then the AI composes a track that fits the criteria. The interactive interface allows editing parts of the track (intro, verse, chorus), and regenerating those sections as needed.

5. Boomy

What it is:
Boomy is a user-friendly AI platform for creating full songs instantly and publishing them to streaming services.

Features:

Generates songs with vocals, melodies, and beats.
Allows users to customize style and mood easily.
Provides publishing options directly to Spotify, Apple Music, etc.
Monetization options through music distribution.
Community and social sharing features.

How it works:
Users select a style, and Boomy’s AI generates a complete song with layers like drums, bass, and vocals. The user can tweak elements or remix songs. Boomy handles mastering and distribution automatically.

6. Ecrett Music

What it is:
Ecrett Music is an AI-powered music generator aimed at video creators and game developers to produce background scores.

Features:

Generates royalty-free music based on scene type and mood.
Easy to use with simple inputs like scene description or activity.
Multiple music styles and genres available.
Export tracks for use in multimedia projects.

How it works:
Users select the scene or video type (e.g., action, calm, suspense), and Ecrett’s AI generates music tailored to fit the emotional tone and pace of the project.

7. Endlesss

What it is:
Endlesss is a collaborative, AI-assisted platform for live music creation and jamming online with others.

Features:

Real-time loop-based music creation with AI enhancements.
Social features for sharing, collaborating, and remixing.
Offers AI-generated sound samples and effects.
Cross-platform with mobile and desktop support.

How it works:
Musicians can create loops, layer sounds, and invite others to jam together live. AI tools suggest beats, harmonies, and effects to enhance creativity during sessions.

8. Melobytes

What it is:
Melobytes is an experimental AI tool that generates music from various inputs like text, images, or videos.

Features:

Converts text or images into music tracks.
Variety of styles and effects.
Fun, creative applications for art projects or novelty music.
Web-based with no installation needed.

How it works:
The AI analyzes features of the input (like colors in an image or rhythm in text) and maps them to musical parameters, creating unique compositions.

9. Magenta Studio (by Google)

What it is:
Magenta Studio is a suite of music tools developed by Google that uses machine learning to help with music generation and editing.

Features:

Includes tools like “Continue” (extends a melody), “Generate” (creates new melodies), and “Interpolate” (transitions between melodies).
Works with MIDI files for integration with digital audio workstations (DAWs).
Open-source and customizable for developers.
Supports experimentation with AI in music creation.

How it works:
Magenta’s models are trained on large datasets of MIDI music. The tools allow users to feed in melodies and generate variations or new sequences using neural networks.

10. Humtap

What it is:
Humtap uses AI to create music on mobile devices, focusing on social sharing and collaborative music creation.

Features:

Users hum a tune or select a mood and genre.
AI generates full instrumental tracks and can add vocals.
Integration with social platforms for sharing.
Real-time music generation and remixing.

How it works:
Humtap’s AI analyzes user input (humming, mood choices) and synthesizes music using neural networks trained on diverse music styles.

Summary

Tool	Primary Use	Key Feature	Typical User
AIVA	Orchestral & cinematic music	Style-specific composition	Composers, filmmakers
Amper Music	Royalty-free track generation	Quick custom tracks	Content creators, marketers
Jukedeck	Custom AI music for videos	Simple interface for tracks	Video creators (now TikTok)
Soundraw	Customizable music generation	Interactive track editing	Filmmakers, marketers
Boomy	Instant full songs	Publishing and monetization	Casual creators, musicians
Ecrett Music	Background scores for media	Scene-based music generation	Video and game developers
Endlesss	Collaborative music jamming	Real-time AI-assisted loops	Musicians, collaborators
Melobytes	Art/music experiments	Input-to-music transformations	Artists, hobbyists
Magenta Studio	ML music editing/generation	Open-source MIDI tools	Developers, musicians
Humtap	Mobile AI music generation	Hum-to-music & social sharing	Social media users, creators

Examples

1. AIVA (AI Composer)

Example 1 (English): “Genesis” — An orchestral piece composed by AIVA, used in film trailers and media projects.
Example 2 (English): “Metamorphosis” — AIVA-created cinematic music featured in short films and YouTube channels.
Example 3 (Hindi): Indian independent artists have experimented with AIVA to create fusion tracks blending orchestral AI music with Bollywood vocals (examples on YouTube).
Example 4 (Marathi): Some regional filmmakers have used AIVA-generated background scores for Marathi short films (unofficial usage).
Example 5 (English): AIVA music used in video games for ambient background soundtracks.

2. Amper Music

Example 1 (English): Many YouTubers and content creators use Amper Music-generated royalty-free music for videos, such as tech review channels and travel vlogs.
Example 2 (English): Podcast intro/outro music created by Amper for independent podcasts.
Example 3 (Hindi): Indian creators on platforms like Instagram Reels use Amper-generated music for short video backgrounds.
Example 4 (Marathi): Small business advertisements use Amper tracks to avoid copyright issues.
Example 5 (English): Amper tracks have been used in startup pitch decks and product demo videos globally.

3. Jukedeck (now TikTok)

Example 1 (English): Early TikTok viral videos used Jukedeck-generated background music for short clips before TikTok integrated it fully.
Example 2 (English): Independent YouTube creators used Jukedeck tracks in educational videos.
Example 3 (Hindi): Some Indian TikTok creators used AI-generated beats from Jukedeck pre-acquisition for lip-sync videos.
Example 4 (Marathi): Regional creators incorporated AI background music for dance shorts on TikTok (unofficial).
Example 5 (English): TikTok internal challenges and original soundtracks enhanced by Jukedeck AI tech.

4. Soundraw

Example 1 (English): Content creators use Soundraw music in YouTube videos to set moods like “happy,” “calm,” or “dramatic.”
Example 2 (English): Indie filmmakers have used Soundraw for short film background scores.
Example 3 (Hindi): Emerging Indian YouTubers use Soundraw to generate music for travel and cooking videos.
Example 4 (Marathi): Regional language vloggers employ Soundraw tracks as background scores in their videos.
Example 5 (English): Soundraw-generated music featured in promotional videos for NGOs and nonprofits.

5. Boomy

Example 1 (English): Boomy artists have released AI-generated pop songs on Spotify and Apple Music, some gaining millions of streams.
Example 2 (English): Independent Boomy users release dance and electronic tracks under their artist profiles.
Example 3 (Hindi): Boomy has been used by some Hindi music producers for creating backing tracks for remixes or demos.
Example 4 (Marathi): Local musicians experiment with Boomy to generate ideas for Marathi folk fusion tracks.
Example 5 (English): Boomy songs have been used in TikTok and Instagram reels for viral challenges.

Notes:

AI music tools like AIVA, Amper, and Boomy are often used by independent creators, filmmakers, YouTubers, and advertisers, so many tracks may be unpublished or used as background music rather than charting hits.
Public “songs” in regional languages made entirely by AI are rarer, but many creators blend AI-generated music with local vocals or instruments in Hindi and Marathi content, especially on platforms like YouTube and Instagram.
TikTok’s acquisition of Jukedeck means much of that tech is integrated into TikTok’s music creation tools, which are widely used globally.

Info

AI Vocal Synthesis & Song Creation

1. Synthesizer V

Features:
- High-quality AI singing voice synthesis with natural vocal expressions.
- Supports multiple voicebanks and languages (English, Japanese, and more).
- Advanced pitch, dynamics, vibrato, and breath control for realistic vocals.
- Intuitive piano-roll style interface and MIDI input compatibility.
Where Used: Music producers, composers, and hobbyists create vocal tracks without needing human singers.
Why: Offers lifelike singing vocals that can be controlled precisely, speeding up vocal production.
Applications: Pop songs, video game soundtracks, commercials, vocal demos.
Use Cases: A composer creating a demo vocal track for a new song without hiring a singer.

2. Vocaloid

Features:
- Famous voice synthesis software using sampled human voices (voicebanks).
- Extensive library of voicebanks with different languages and singing styles.
- Detailed control over pitch, dynamics, pronunciation, and articulation.
- Supports lyrics input in various languages, real-time preview.
Where Used: Widely used in J-pop, electronic music, and virtual idol production.
Why: Allows creation of vocals without a human singer, enabling unique virtual artist projects.
Applications: Virtual idols (e.g., Hatsune Miku), music production, demos.
Use Cases: Producers making fully vocalized songs with a digital singer, often performing live via hologram concerts.

3. Emvoice One

Features:
- Cloud-based vocal synthesis plugin with human-like singing.
- Simple interface for creating realistic vocal melodies and lyrics.
- Supports multiple voice types, customizable expression.
Where Used: Songwriters and producers looking for quick vocal mockups.
Why: Fast vocal generation that can be integrated directly into DAWs like Ableton, Logic.
Applications: Demo songs, vocal arrangements, soundtrack production.
Use Cases: A songwriter trying out vocal lines before recording with a singer.

4. Alter/Ego

Features:
- Real-time vocal synthesis with expressive control.
- Works with text-to-phoneme conversion and allows custom voicebanks.
- Free and lightweight with a variety of voice characters.
Where Used: Experimental music, indie artists, hobbyists.
Why: Enables creative vocal experimentation without needing vocal talent.
Applications: Electronic music, sound art, vocal effects.
Use Cases: A producer creating unique vocal textures for electronic tracks.

5. OpenAI Jukebox

Features:
- Neural network that generates raw audio, including singing, lyrics, and instrumental.
- Can create music in various genres and artist styles.
- Generates multi-minute songs with vocal melodies and coherence.
Where Used: Research, experimental music, AI-generated songwriting.
Why: Demonstrates AI’s potential in creating full songs with human-like vocals.
Applications: Prototype songwriting, AI research, music generation demos.
Use Cases: Researchers studying AI creativity and music production.

6. AI Vocal Remover

Features:
- Uses deep learning to isolate or remove vocals from existing songs.
- Preserves instrumental tracks cleanly for remixing or karaoke.
- Often cloud-based or as DAW plugins.
Where Used: DJs, remixers, karaoke creators, producers.
Why: Provides clean stems without original multitracks.
Applications: Remix production, cover songs, live performances.
Use Cases: A DJ creating a mashup by removing vocals from a popular track.

AI Beat and Instrument Generation

1. Landr Beat Maker

Features:
- AI-powered beat and loop generator with genre customization.
- Easy drag-and-drop interface and quick beat creation.
Where Used: Producers, beatmakers, content creators.
Why: Quickly generate beats without deep knowledge of drums or rhythm programming.
Applications: Hip-hop, pop, electronic music production.
Use Cases: A rapper creating backing beats for new tracks.

2. Humtap

Features:
- Mobile AI beat and melody generator based on user mood and genre.
- Hum or tap to input ideas, AI generates music instantly.
Where Used: Casual creators, social media users, hobbyists.
Why: Makes music creation accessible on smartphones without technical skills.
Applications: Social media content, short songs, loop generation.
Use Cases: An Instagram creator making quick background music for stories.

3. Alysia

Features:
- AI songwriting assistant that generates melodies and lyrics.
- Interactive interface to co-write songs with AI.
Where Used: Songwriters, beginners, music educators.
Why: Helps overcome writer’s block and inspires creativity.
Applications: Pop songwriting, demo creation, music education.
Use Cases: An aspiring songwriter generating ideas for a new track.

4. Splash

Features:
- AI music creation platform tailored for gaming and social content.
- Real-time beat and melody generation with visual interface.
Where Used: Game developers, streamers, social media users.
Why: Provides royalty-free music quickly to enhance games and streams.
Applications: Background music for games, live streams.
Use Cases: An indie game developer creating adaptive music for gameplay.

AI Audio Mixing, Mastering & Enhancement

1. LANDR

Features:
- AI-driven mastering platform that automates audio mastering.
- Customizes mastering based on genre, loudness, and style.
- Fast, cloud-based with affordable pricing.
Where Used: Independent musicians, producers, podcasters.
Why: Provides professional mastering without expensive engineers.
Applications: Finalizing tracks for release, podcasts, demos.
Use Cases: An indie artist mastering a new single quickly and affordably.

2. iZotope Neutron

Features:
- AI-assisted mixing tools with track analysis and suggested adjustments.
- Features include EQ, compression, masking, and dynamic control.
Where Used: Music producers, mixing engineers.
Why: Improves mix quality and speeds up workflow.
Applications: Mixing songs, sound design.
Use Cases: A producer refining vocal clarity and balance in a mix.

3. iZotope Ozone

Features:
- AI-powered mastering suite with tonal balance control, EQ, compression.
- Master assistant feature listens and recommends mastering settings.
Where Used: Producers, mastering engineers, hobbyists.
Why: Ensures professional polish with intelligent assistance.
Applications: Final track mastering for streaming and release.
Use Cases: A producer mastering a full album with consistent sound.

4. Adobe Enhance Speech

Features:
- AI tool that improves speech clarity and reduces background noise.
- Designed for podcasting, voiceovers, and interviews.
Where Used: Podcasters, broadcasters, content creators.
Why: Enhances audio quality with minimal effort.
Applications: Voice recordings, online meetings, podcast production.
Use Cases: A podcaster cleaning up remote interview audio.

5. Crisp.ai

Features:
- AI noise cancellation and audio enhancement software.
- Removes background noises in real-time calls and recordings.
Where Used: Remote workers, streamers, call centers.
Why: Improves communication clarity in noisy environments.
Applications: Video calls, streaming, podcasting.
Use Cases: A remote employee using Crisp for clearer meetings.

Experimental and Research Tools

1. Google Magenta

Features:
- Open source project offering machine learning models for music and art.
- Includes tools like melody generation, drum pattern creation, and style transfer.
Where Used: Researchers, developers, experimental musicians.
Why: Enables exploration of AI creativity in art and music.
Applications: Experimental music, creative coding, AI art projects.
Use Cases: A developer building a generative music app using Magenta models.

2. OpenAI MuseNet

Features:
- AI capable of generating multi-instrument compositions in various genres.
- Can imitate styles from classical to jazz to pop.
Where Used: Research, experimental composition.
Why: Demonstrates AI’s capacity for complex musical understanding.
Applications: Music generation for research, demos, inspiration.
Use Cases: Researchers generating multi-instrumental pieces for study.

3. Riffusion

Features:
- Creates music by generating AI spectrogram images that are converted to audio.
- Allows users to “paint” music visually with AI.
Where Used: Experimental musicians, AI artists.
Why: Offers a novel way to create music through image-based AI generation.
Applications: Sound design, generative art, experimental music.
Use Cases: An artist creating ambient soundscapes by visual input.

Examples

AI Vocal Synthesis & Song Creation

1. Synthesizer V

English: A YouTube artist uses Synthesizer V to create original pop songs with AI vocals for their channel.
Hindi: Independent Indian producers use Synthesizer V with Hindi voicebanks to create demo vocals for Bollywood-style tracks.
Marathi: Local Marathi musicians experiment with Synthesizer V for background vocal harmonies in folk fusion.
Japanese (original market): Vocaloid-style songs created by artists using Synthesizer V’s Japanese voicebanks, often shared on NicoNico.
English: Synthesizer V vocals used in video game soundtracks with synthetic singing parts.

2. Vocaloid

English: The virtual idol Hatsune Miku, powered by Vocaloid, performs sold-out concerts worldwide with AI-generated singing.
Hindi: Indie Hindi artists produce Vocaloid covers of Bollywood hits shared on YouTube.
Marathi: Marathi musicians have created Vocaloid-based experimental tracks combining traditional instruments and synthetic vocals.
Japanese: Vocaloid is hugely popular in J-pop culture with thousands of songs produced and shared on platforms like YouTube and NicoNico.
English: Vocaloid vocals featured in EDM and pop remixes by international producers.

3. Emvoice One

English: Songwriters use Emvoice One plugin in DAWs to quickly generate demo vocal tracks during songwriting sessions.
Hindi: Hindi pop producers employ Emvoice One to layer vocal harmonies with traditional vocals in recording sessions.
Marathi: Emerging Marathi artists use Emvoice One to create backing vocal lines for their songs.
English: Independent musicians use Emvoice One to add female or male vocal parts without hiring session singers.
English: Film composers use Emvoice One for quick vocal motifs in trailers.

4. Alter/Ego

English: Electronic musicians create unique vocal textures and sound effects live using Alter/Ego in performances.
Hindi: Experimental Hindi artists produce electronic music blending Alter/Ego vocals with traditional instruments.
Marathi: Marathi indie artists use Alter/Ego for creative vocal effects in experimental songs.
English: Sound designers integrate Alter/Ego vocals into video game audio for character voices.
English: Alter/Ego used in sound art installations focusing on voice manipulation.

5. OpenAI Jukebox

English: Researchers generate new songs in the style of famous artists (like Beatles or Elvis) for AI music research projects.
Hindi: Experimental Indian music producers explore OpenAI Jukebox to create AI-generated Bollywood-inspired melodies.
Marathi: Limited but emerging use in AI art communities creating Marathi song samples for artistic exploration.
English: Musicians use Jukebox outputs as inspiration for songwriting or remixing.
English: AI-generated raw audio samples used in sound libraries and AI music demos.

6. AI Vocal Remover

English: DJs use AI vocal remover tools to create instrumentals for remixing and mashups.
Hindi: Karaoke apps in India use AI vocal removal to allow users to sing over Bollywood tracks.
Marathi: Local musicians create Marathi karaoke versions of popular songs using vocal remover AI.
English: YouTubers remove vocals to create background music for their videos.
English: Producers isolate vocals for remixing and vocal sampling.

AI Beat and Instrument Generation

1. Landr Beat Maker

English: Hip-hop producers create beats quickly for freestyle sessions using Landr Beat Maker.
Hindi: Bollywood beat makers generate percussion loops for film scoring.
Marathi: Marathi rappers use Landr Beat Maker to build beats for their tracks.
English: Electronic music producers draft song foundations with Landr-generated loops.
English: Content creators use Landr beats as royalty-free backing for YouTube videos.

2. Humtap

English: Social media users generate beats on smartphones for Instagram Reels and TikTok videos.
Hindi: Indian independent artists use Humtap to quickly create melodies for Hindi pop songs.
Marathi: Marathi content creators make short music clips with Humtap for digital sharing.
English: Hobbyists create custom beats for gaming livestreams.
English: Amateur musicians use Humtap for songwriting brainstorming.

3. Alysia

English: Songwriters co-write lyrics and melodies with Alysia to overcome writer’s block.
Hindi: Hindi lyricists generate melodic ideas to combine with Bollywood lyrics.
Marathi: Marathi artists use Alysia for inspiration when crafting folk melodies.
English: Music teachers use Alysia in classrooms to teach songwriting.
English: Independent artists use Alysia to prototype new song ideas.

4. Splash

English: Game developers integrate Splash-generated music for dynamic game soundtracks.
Hindi: Indian mobile game makers use Splash for in-game background music.
Marathi: Marathi indie game creators use Splash music loops for immersive environments.
English: Streamers use Splash music for livestream background.
English: Social platform users generate custom music for video posts.

AI Audio Mixing, Mastering & Enhancement

1. LANDR

English: Indie artists master their debut singles using LANDR’s automated mastering.
Hindi: Bollywood music producers use LANDR for quick demo mastering.
Marathi: Marathi singers finalize tracks for local digital release.
English: Podcasters master episodes for consistent loudness and clarity.
English: YouTube creators use LANDR to polish audio for better audience retention.

2. iZotope Neutron

English: Mixing engineers improve clarity and balance in professional pop productions.
Hindi: Bollywood studios incorporate Neutron for complex vocal mixes.
Marathi: Marathi music producers refine instrument separation in folk fusion songs.
English: Sound designers use Neutron’s masking feature to clean overlapping sounds.
English: DIY musicians use Neutron to get a professional sound at home.

3. iZotope Ozone

English: Mastering engineers use Ozone to prepare albums for streaming platforms.
Hindi: Hindi film composers finalize scores for theatrical release.
Marathi: Marathi indie musicians master albums with consistent loudness.
English: Electronic producers polish tracks for radio and club play.
English: Producers use Ozone’s tonal balance for final track shaping.

4. Adobe Enhance Speech

English: Podcasters enhance voice recordings to reduce background noise.
Hindi: Voiceover artists improve clarity for audiobooks in Hindi.
Marathi: Marathi broadcasters enhance interviews recorded in noisy environments.
English: Remote workers clean up audio for virtual meetings.
English: Online educators improve audio quality for recorded lectures.

5. Crisp.ai

English: Streamers remove background noise in real-time during broadcasts.
Hindi: Call center employees use Crisp to ensure clear communication.
Marathi: Journalists conduct noisy location interviews with clearer audio.
English: Remote teams improve audio quality in daily video calls.
English: Podcasters remove room echo and distractions.

Experimental and Research Tools

1. Google Magenta

English: Developers create AI-powered music apps that generate new melodies.
Hindi: Research groups experiment with Indian classical music generation.
Marathi: Artists use Magenta to generate innovative Marathi folk patterns.
English: Interactive installations use Magenta’s models for live music creation.
English: Educational tools leverage Magenta to teach AI and music theory.

2. OpenAI MuseNet

English: Researchers generate multi-instrumental compositions in classical and jazz styles.
Hindi: Exploratory Indian music projects create fusion AI compositions.
Marathi: AI-generated Marathi fusion songs for cultural research.
English: Music tech startups prototype AI-assisted composition tools.
English: Composers use MuseNet as a creative assistant to generate backing tracks.

3. Riffusion

English: Sound artists create ambient music by painting spectrogram images.
Hindi: Experimental musicians generate unique soundscapes with AI.
Marathi: Indie artists explore AI-generated textures for multimedia projects.
English: Visual artists integrate Riffusion audio into multimedia art shows.
English: Game audio designers prototype AI-generated background atmospheres.