Quick facts
- Best for
- Turn text into full songs with AI.
- Pricing
- Freemium
- Editor rating
- 5 / 5
- Community saves
- 0
About TextSongAI.com
TextSongAI is a tool that uses AI to turn text prompts and lyrics into complete songs, either with vocals or as instrumentals. It provides a lyrics-first workflow letting users describe a vibe, paste lyrics, or write a prompt, and generate full songs or instrumentals. Along with creating music, this tool allows for the extension of song versions and splitting stems for remix-ready post work. Using TextSongAI, users can create a song from a text cue conveying a mood, scene, or lyrical idea. They can then shape the desired sound by choosing full vocals or instrumentals, setting genre, energy, and vocal style. Following this, users can choose the strongest take, extend it, split stems if needed, and export their creation in MP3 or WAV formats. A few of the additional tools contained within the platform include a stem splitter, a vocal remover and a drum separator. These tools allow you to isolate vocals and drums, making them ready for remixing and sampling, or even Karaoke. The application is well-suited for a range of users including songwriters, video editors, podcast producers, and music teachers.
Pros
- Lyrics-first workflow
- Generates full songs from text
- Generates instrumentals from text
- Option to extend songs
- Option to split audio stems
- Vocal removal feature
- Can isolate drums
- Export MP3 or WAV directly
- Compatible for various users
- Suitable for immediate soundtrack needs
- Allows for song remixing
- Enables karaoke through vocal removal
Cons
- Genre selection could be limiting
- Potential misalignment between lyrics and music
- Privacy limited to paid users
- Full capabilities require paid plans
- Limited to non-commercial use on Free and Monthly plans
- Vocal and instrumental separation could be imperfect
- Cloud-based tool, requires good internet connection
- Only exports in MP3, WAVPotential disconnect between desired mood and output
- Technical music knowledge needed for stem splitting