Tuneletter
What is Tuneletter ?
Tuneletter is an AI music creation platform that can quickly transform lyrics into complete songs, supporting various music styles including pop, rock, hip-hop, electronic, and more. Users just need to input lyrics or choose a preset style to generate professional-quality music works in seconds, without any music production experience.
- Recording time:2025-08-28
- Is it free:

Website traffic situation
Overview of Participation
(2025-07-01 - 2025-07-31)Website Latest Traffic Status
Traffic source channels
(2025-07-01 - 2025-07-31)Statistical chart of traffic sources
Tuneletter Core Features
AI lyric to song generation
Multiple music style selection
Real-time audio preview
Commercial usage rights authorization
One-click export of high-quality audio
Tuneletter Subscription Plan
FAQ from Tuneletter
What are the main features of Tuneletter?
Tuneletter can quickly transform lyrics entered by users into complete songs, supporting various music styles including pop, rock, hip-hop, electronic, jazz, and more, generating professional-quality music works in seconds.
Is music production experience required?
No music production experience is needed at all; users just need to input lyrics or select a preset style, and the AI will automatically complete the composition, arrangement, and production process.
Can the generated music be used commercially?
Yes, the platform provides commercial usage rights authorization, allowing users to utilize the generated works for commercial purposes.
What music styles are supported?
Supports various music styles including modern pop, rock, hip-hop, country, electronic, reggae, classical, jazz, metal, R&B, and more.
Is there a limit to the audio generation duration?
Supports audio generation from 5 to 240 seconds, with a recommendation to use 30 to 120 seconds for optimal results.
Is account registration required?
No registration is needed to start creating immediately, providing a completely free instant experience.
Does it support audio upload analysis?
Supports audio perception features, allowing for analysis of audio materials to extract emotions and lyrical information for creation.
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