Fadr
Tags
Pricing model
Upvote
0
Fadr AI is an online platform enabling users to craft their own stems, remixes, mashups, and DJ sets. It offers instrument separation, key, chords, MIDI, synchronization, and more, allowing users to produce music in innovative ways. There are monthly and yearly subscription plans available, which include extra features such as high-quality downloads, unlimited storage, simultaneous stems, loop kits, and priority support.
Similar neural networks:
0
AI Jukebox, developed by enzostvs on Hugging Face Spaces, is a web-based tool for generating music from text descriptions. It allows users to create music by inputting prompts that define the genre, mood, and various musical elements, such as "80s pop track with bassy drums and synth." With the ability to choose the track's duration, style, and mood, AI Jukebox acts as a creative platform for crafting unique music pieces without requiring musical knowledge or instruments. This tool is especially beneficial for content creators, music lovers, or anyone interested in experimenting with music creation for entertainment, prototyping song ideas, or seeking inspiration for musical projects. Users might utilize it to quickly create background music for videos, games, or podcasts, explore different musical styles, or simply enjoy the music-making process through an intuitive AI interface.
0
LALAL.AI is an advanced service for vocal removal and music source separation, enabling users to isolate vocals, accompaniment, and a variety of instruments from any audio or video file through high-quality stem splitting driven by AI technology. Users can buy packages with varying minute allocations for file splitting and download complete stems. Additionally, the service provides an API for businesses to incorporate the technology into their projects.
0
Replicate and MusicGen are tools that enable users to generate music from text through machine learning models. Replicate offers a platform for developing models with minimal coding requirements, whereas MusicGen is a model created by Facebook Research, trained on 20,000 hours of licensed music.