EasyMusic.AI
EasyMusic.AI is a browser-based AI music creation service for turning text prompts, style directions, or user-written lyrics into vocal songs and instrumentals. Users can choose from music models and generation settings, create tracks, and then refine them with tools for extending songs, editing sections, adjusting lyrics or style, creating song covers, and separating audio stems. The service also includes AI speech and voice features, lyric tools, and AI music-video generation. Available export formats and editing features depend on the plan. EasyMusic.AI is intended for musicians, songwriters, content creators, game developers, music educators, and marketers who need drafts, soundtracks, or other music for creative projects. A free plan is available for personal use; commercial-use rights and additional features depend on the subscription plan.
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ElevenMusic
ElevenMusic is an AI-powered music discovery, creation, and remixing platform from ElevenLabs designed for independent artists, creators, and music listeners. Users can listen to music, remix existing tracks, or create original songs using natural-language prompts, lyrics, audio references, and AI-assisted composition tools. Music v2.5 powers current generation workflows with improved audio quality, prompt adherence, instrumentation, layering, and musical complexity compared with earlier Eleven Music models. Composer allows users to edit songs section by section, regenerate individual verses or choruses, modify lyrics, change instrumentation or tempo, compare multiple takes, and rearrange song structures without recreating the entire track. The platform supports vocals and instrumental music, multilingual generation, audio-reference guidance, song sharing, and music creation across a wide variety of genres and structures.
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MiniMax Music 3.0
MiniMax Music 3.0 is a music-generation API for creating songs from a description, lyrics, or reference audio. Developers use the prompt parameter to define style, mood, instrumentation, vocal character, and production direction, while the lyrics parameter supplies vocal content. Its upgraded semantic model improves creative-intent understanding and reduces drift in AI-generated music. Higher sound quality produces clearer mixes and supports specific instruments and playing techniques such as slides and legato. A new vocal engine delivers more natural synthesis with control over melody, pronunciation, breathing, and layered harmonies. Teams can first call the Lyrics Generation API to write full lyrics with sections such as Verse, Chorus, and Bridge, then send them to the Music Generation API, or skip that step and generate a song directly with lyrics optimization. Music 3.0 also supports instrumental-only creation.
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Happy Shrimp 1.0
Happy Shrimp 1.0 is an AI music generation model designed to turn vague ideas into fully produced songs from a single prompt. Users can start with an emotion, story concept, target genre, or creative direction, without needing technical music knowledge such as BPM, key signature, or instrumentation. The model supports text-to-music generation for complete vocal songs and instrumental compositions, producing melody, arrangement, lyrics, and vocals from scratch or using lyrics supplied by the user. Built with broad musical knowledge, it understands creative aesthetics across genres, regions, eras, and cultural contexts, translating descriptive prompts into structured musical outputs. It performs across styles including Chinese music, pop, R&B and soul, hip hop, rock, funk, electronic, classical, and jazz. Using world knowledge and music-domain reasoning, the model represents both the “grammar” of music.
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