Top 10 AI Tools Used By Musicians
18 December 2023 - Press release| Pirate surveyed 1,000 artists about their AI use, revealing the top 10 tools preferred by musicians. |
| 2023 marks a groundbreaking shift, where artificial intelligence has emerged as a key collaborator for musicians, with AI expected to make up 50% of the music industry market by 2030 (ZipDo). According to a recent survey conducted by Pirate of over 1,000 musicians, 25% are already incorporating AI into their studio work, 72% of whom report positive experiences. Pirate asked respondents at which stage in the music-making process AI was most useful. 30% found it particularly useful for songwriting and composition, followed by research and inspiration (21%), beat and rhythm creation (12%), and mastering (10%). |
| Top 10 AI Tools Amongst Musicians: |
| 1. ChatGPT |
| Best for: Songwriting and composition |
| Overview: ChatGPT generates ideas and crafts and offers feedback on lyrics. |
| 2. Ozone11 |
| Best for: Mastering music |
| Overview: iZotope Ozone 11 offers a one-click solution, simplifying the mastering process and enhancing workflow for artists. |
| 3. LALAL.AI |
| Best for: Separating stems for remixing and sampling |
| Overview: LALAL.AI's stem-splitting capabilities allow isolation of specific elements without compromising quality. |
| 4. BandLab SongStarter |
| Best for: Inspiration, support for beginners, writers' block |
| Overview: SongStarter literally generates a track for musicians to edit, as a starting point, based on the genre, lyrics, or even emojis they input as prompts. |
| 5. GOYO |
| Best for: Audio segmentation and manipulation |
| Overview: A powerful voice separator, GOYO aids in de-noising, de-reverbing, and de-voicing audio for enhanced quality. |
| 6. AIVA |
| Best for: Composition |
| Overview: AIVA, the "Artificial Intelligence Virtual Artist," composes original music tracks in seconds based on user preferences, breaking creative blocks for artists. |
| 7. AWS Deepcomposer |
| Best for: Melody composition and exploration |
| Overview: AWS DeepComposer allows users to play a melody and transform it into a composition using generative AI, catering to varying musical and machine learning knowledge levels. |
| 8. Moises App |
| Best for: Isolating vocals and instruments in any song |
| Overview: Moises App excels in isolating vocals and instruments with impressive accuracy, providing a valuable toolkit for creative manipulation. |
| 9. Magenta Studio |
| Best for: Experimental composition |
| Overview: An open-source project by Google, Magenta explores machine learning's potential in creative arts, allowing artists to experiment with unique compositions and performances. |
| 10. StemRoller |
| Best for: Separating vocal and instrumental stems |
| Overview: StemRoller efficiently separates vocal and instrumental stems with a single click, offering a free and accessible solution. |
| The music industry is witnessing a steady influx of new AI tools, and musicians, as revealed by Pirate's research, are increasingly open to experimentation, creating demand. While only 25% currently use AI in their music creation, 46% of those not yet using it expressed a willingness to explore AI tools in the future. However, stigma around AI use persists, as Pirate revealed earlier this year that over half of musicians would conceal AI use from listeners — a stigma that is sure to start breaking down if the upwards trend of artists using AI continues in 2024. |
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