Generates complete tracks from short text prompts, style choices, or mood selections.
Lets you choose from multiple genres, moods, or use cases such as background, ads, or social clips.
Provides tracks that can be used in content under the toolâs licensing terms.
Creators use Soundful to generate royaltyâfree music beds for YouTube videos, TikToks, Reels, and livestreams without needing to license individual tracks.
Producers and marketers generate multiple musical ideas in Soundful to explore different moods before commissioning custom compositions.
Teams integrate tracks from Soundful into apps, games, or interactive experiences where they need loops or generative background music.
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Aiva is an artificial intelligence-powered music composition tool that creates original, royalty-free music for diverse applications. Using deep learning algorithms trained on extensive musical datasets, Aiva generates high-quality tracks across genres like classical, electronic, cinematic, pop, and rock. Users can customize parameters such as tempo, key, mood, and instruments to tailor music to specific needs, with an intuitive interface that requires no prior musical knowledge. The platform supports various export formats including MP3, WAV, and MIDI, ensuring compatibility with video production, game development, advertising, podcasts, and more. Aiva operates on a freemium model, offering free tiers with limited downloads and subscription plans for enhanced features like unlimited downloads, commercial licensing, and API access. It is designed for content creators, developers, and businesses seeking professional-grade soundtracks without legal hassles.
Beatoven is an AI music-generation platform that helps users create custom tracks, loops, or soundscapes. By adjusting parameters like mood, genre, tempo, and instrumentation, non-musicians and professionals alike can generate royalty-conscious music for videos, games, podcasts, or other projects. Users still curate and edit results, ensuring the output matches their brand and licensing needs.
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