Aimi.fm

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Aimi Sync is an AI-driven tool that crafts copyright-free soundtracks for videos by generating music specifically designed to fit the video’s content. Users can upload a video, and the tool generates synchronized soundtracks that seamlessly align with scene transitions. It also includes automatic voice-over generation in various languages and integrates it with music, original audio, and vocals. Aimi Sync identifies existing dialogue and adapts the music to complement it without overlapping. Offering a variety of genres like ambient, trap, and reggaeton, the tool simplifies the process of sound editing, enabling creators to manage audio layers effortlessly without needing music production expertise.

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Musiclips is an AI-driven music exploration application that assists users in discovering new tracks and crafting personalized playlists according to their musical tastes. It enables users to connect their Spotify accounts, swiping right to add songs to their collection or left to pass. The app boasts an extensive collection of tracks from diverse genres and offers customized suggestions that align with users' interests. Furthermore, it features a user-friendly and straightforward interface for effortlessly exploring new artists and sounds.
Paid
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GetSound is a streaming service tailored for spas, hotels, and resorts that offers customized soundscapes available around the clock, uniquely crafted for each moment, and adjusted to the user's precise location and weather conditions. The platform includes airplay support, endless soundscapes, and comes with no royalty or copyright fees, featuring over 20 different environments.
Freemium
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Cyanite is a powerful music search and tagging platform utilizing artificial intelligence to analyze millions of songs and classify them in a short time, enabling users to provide the appropriate music content for any scenario. It features tagging, audio-based similarity search, keyword search, song recommendations, and data visualization to assist users in locating the required music efficiently. Additionally, it includes keyword cleaning to identify errors in manual tagging.