Text to Music is an innovative AI tool designed by @markdoppler that enables users to generate audio by inputting written prompts or descriptions. To get started, users need to create an account and verify their email address.
The tool offers a range of creative options, allowing users to generate drum and audio tracks with prompts like happy acid techno, traditional Japanese instrumental hip-hop, and late Radiohead-style songs. It also includes a “Drum Generator” feature that produces drum tracks based on prompts such as Gujarati Bhajan, Deathcore blast beat, and Hip Hop-themed Avengers songs.
Users can input text descriptions such as “simplistic vision, indie background track 3 chords gloomy” to generate mainstream audio with specific moods. Each prompt reportedly generates unique audio options, providing users with a diverse array of possibilities.
Text to Music is user-friendly, making it suitable for individuals with limited or no music production experience. It simplifies the audio creation process without requiring technical skills or knowledge in music theory, offering a seamless blend of creative writing and music production capabilities.
More details about Texttomusic
Who created Text to Music?
Text to Music was developed by @markdoppler.
Does Text to Music offer a variety of audio possibilities?
Yes, Text to Music provides a diverse range of audio options. It generates unique audio outputs for each prompt provided by the user, ensuring a wide variety of creative possibilities.
Can I use text descriptions to generate mainstream audio output with Text to Music?
Absolutely, Text to Music allows users to input text descriptions to generate mainstream audio outputs. This feature enables users to specify the mood and style of the music they wish to create.
What types of music can I create with Text to Music?
Text to Music supports the creation of various music genres and styles. Users can generate specific genres like ‘happy acid techno’, ‘traditional Japanese instrumental hip-hop’, and ‘Deathcore blast beat’, as well as mood-specific tracks based on descriptive prompts. This versatility makes it suitable for a wide range of creative audio projects.
