SongMuse is an AI music generator that turns a short prompt into a full track, including lyrics, vocals, and production. It is built for creators who need music for uses such as scoring a video, drafting a jingle, or sketching a demo, and it presents itself as a composer-first workflow.
The service works from natural-language prompts and says it understands mood, era, tempo, and genre. Users can paste their own lyrics or let the AI draft them, choose male or female vocals, tune weirdness, and adjust how closely the result should match a reference. It also supports instrumental mode for backing tracks, podcast beds, or production stems, as well as a full-song mode with lead vocals, ad-libs, and a hook. Additional controls include style adherence, audio weight, title, and negative tags to avoid unwanted sounds.
SongMuse generates two variations per request and says the result is ready in under a minute. Generated tracks go into a personal library where they can be played back, favorited, renamed, organized, deleted, downloaded, remixed, or extended. The page also says tracks can be exported as MP3s, with no DRM or watermarks, for royalty-free commercial use under plan terms.
It is delivered online as a free AI music generator and mentions online access throughout, including prompts such as start free online and create tools. The tool is described as an AI song generator and AI music generator, and the page lists uses such as background tracks for YouTube, TikTok, Reels, and Shorts, podcast intros and ad beds, demo songs, indie game soundtracks, jingles, brand sonic identities, and personal songs for birthdays, weddings, and gifts.
SongMuse is a Music & audio project. It focuses on allowing creators to quickly generate royalty-free music tracks tailored to their needs using AI. SongMuse is a consumer product aimed at content creators and musicians. A free plan is available. It ships for the web.
SongMuse first shipped in 2024. Among its 6 catalogued features are AI music generation, prompt-based creation, and royalty-free tracks.
Summary written by a language model from the project’s public pages.
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