#1 AI Music & Song Generator Free Online | DeepSong.ai

What

DeepSong.ai is a web-based AI music and song generator for creators who need original tracks without traditional music production skills. It appears positioned for individual creators and small teams such as YouTubers, podcasters, game developers, filmmakers, marketers, and educators who want to generate songs or instrumentals quickly from text prompts, lyrics, and style settings.

Features

• Prompt-based song generation: Users can describe a musical idea in simple language or use a custom mode with lyrics, title, and style tags to generate a track.
• Instrumental and vocal options: The tool supports instrumental output and vocal selection options including female, male, or random voice assignment.
• Model and style controls: Users can choose among multiple model versions and adjust genre, tempo, instruments, and overall vibe for finer creative direction.
• Downloadable audio output: The site states generated tracks can be downloaded in MP3, and elsewhere references WAV and FLAC export; format availability may depend on plan or product version.
• Public and private generations: The platform includes community sharing for public songs and also references private generation options for users who want exclusive access to their outputs.

Helpful Tips

• Verify rights for intended use: The site states commercial rights and copyright freedom, but teams should review the specific license terms and differences between public and private generations before production use.
• Test output consistency by mode: Start with simple prompts for exploration, then move to custom mode with lyrics and tags when repeatability and tighter control matter.
• Confirm actual model access by plan: The page mentions model versions from V1.0 to V4.0, while pricing references access to v2.0; buyers should validate which models are currently available in their subscription tier.
• Check editing workflow needs: The FAQ suggests users may want to edit songs, but the page does not clearly describe in-product editing depth, so post-production requirements should be assessed early.