62 AI Tools for Music: A Category-by-Category Breakdown

Chris Wieduwilt, who goes by "The AI Musicpreneur" on TikTok, compiled a reference sheet of 62 AI tools organized into six categories. The video is a 53-second walkthrough of a detailed infographic -- teal-on-black, densely packed with tool names, logos, and subcategory labels. He presents it as the result of over 100 hours of research so musicians can skip the discovery phase.

Music Creation (Largest Category)

The infographic dedicates the most real estate to music creation, which covers four subcategories: music generation, songwriting ideation, loop and sample generation, and chord progressions. The tools listed include Stable Audio, Suno, Udio, Loudly, Beatoven AI, Soundraw, Lemonaide, Korus, Tuney, Endel, Infinite Album, Twoshot, Audiocipher, Hydra, Moises, Cassette AI, Aria, Soundful, Jen Music AI, MusicGen, Limewire, Mubert, MusicFX, Soundverse, Neutone, Delphos, Wavtool, DAACI, and Riffusion. That is roughly half the total list, which reflects how much of the AI music space is focused on the generation side.

Mixing and Mastering

For studio-quality output, Chris lists seven tools: MasterChannel, Waves, Mastering (by LANDR's parent), LANDR, RoEx, Ozone (by iZotope), and Moises. The tagline for this category is "create studio-quality, balanced tracks instantly," pointing to the growing accessibility of professional mastering without a dedicated engineer.

Stem Separation

Stem separation tools let you isolate individual elements -- vocals, drums, bass, melody -- from a finished track. The tools here are AudioShake, Lalal.ai, Splitter, RipX DAW, Kits AI, RX (by iZotope), and FADR. This category has obvious applications for remixing, sampling, and practice tracks.

AI Voice Tools

Voice cloning, voice changing, and multilingual voiceover generation fall into this bucket. Chris includes Voice Swap, Kits AI (which appears in both stem separation and voice tools), Controlla, ElevenLabs, Respeacher, Vocalist.ai, and Voicemod. ElevenLabs is probably the most widely recognized name here, but several of the others target music-specific voice use cases rather than general speech synthesis.

Media Generators

This category covers visual output: music videos, artwork, and design assets. The listed tools are RunwayML, Midjourney, Ideogram, Pika, Neural Frames, Kaiber, and an additional tool partially obscured in the frames that appears to be a video generation platform. These are not music tools per se, but they round out the production workflow for independent artists who need visuals alongside their tracks.

Music Business Intelligence

The smallest section at the bottom of the infographic covers the business side: digital rights management, tagging and search, marketing analytics, and ethical AI certification. Tools include MatchTune, Musical AI, Cyanite, IRCAM Amplify, Music AI, Immensity AI, and AIOK. Chris specifically calls out subcategories for managing digital rights, analyzing marketing data, improving metadata tagging, and obtaining ethical AI certification -- signals that the industry is starting to build infrastructure around responsible use.

Key Takeaways

• The AI music tool landscape is wide enough to fill 62 entries across six distinct categories, with music generation dominating the count.
• Stem separation and mixing/mastering tools are lowering the barrier to professional-quality production for independent musicians.
• Some tools appear in multiple categories (Kits AI, Moises), suggesting that the best platforms are expanding across the workflow rather than staying in a single lane.
• The inclusion of a "Music Business Intelligence" category signals that AI tooling is moving beyond creation into rights management, analytics, and certification.
• Chris frames this as a living reference -- he mentions a high-res image link in the comments, positioning the infographic as a resource to save and revisit.