AI Makes Song

AI Makes Song is an online AI music generation platform where users enter a text description or lyrics and get a complete song with melody and vocals within minutes. Positioned as an 'AI music creation workspace,' it serves content creators, indie developers, and music enthusiasts with a one-stop toolkit from creation to post-production.

Core Capabilities

• Text to song: enter text descriptions of mood, style, and theme, and the AI automatically generates a complete song with melody and vocals
• Lyrics to song: paste your own lyrics, and the AI matches a melody and completes the arrangement, with three modes: male vocal, female vocal, and instrumental
• Vocal separation: remove vocals from any song to create instrumental or karaoke tracks, handling post-production in one place
• Music extension and replacement: loop the chorus, add an outro, or replace any section of a song while keeping the overall tonality consistent
• 2,000+ prompt library: covers 20+ styles including Lo-Fi, Synthwave, Trap, and K-Pop, usable without login
• AI lyrics generator: instantly generates original lyrics, providing an inspiration starting point for creation

Use Cases YouTube/TikTok background music, podcast intros and outros, indie game ambient scores, and short ad video music. Suits content creators who need royalty-free music but do not want to pay for Suno/Udio.

Unique Advantages The free plan already includes commercial licensing and lossless downloads, which is very rare among similar products. Vocal Remover integrated with song generation, plus the 2,000+ prompt library, forms a complete pipeline from inspiration to finished product.

Editor's Review Feature integration is fairly complete among recently launched peers, and the free plan's generosity is a genuine selling point. But team information is opaque, audio quality lacks independent review validation, and brand recognition is far below Suno and Udio. It suits entry-level users wanting to try AI music creation at zero cost; professionals should compare against leading products before deciding.