Epidemic Sound's AI-Powered Soundmatch Enhances Video Project Soundtracks

Epidemic Sound Soundmatch

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Epidemic Sound's Soundmatch tool enables users to effortlessly discover the ideal soundtrack for their video projects. By leveraging AI, it detects the scenes within the video and produces appropriate keywords for a semantic search, providing recommendations that align with the visuals. Epidemic Sound's other recent product launches feature #Vibey playlists, YouTube ad blockers, and a music licensing model with pricing options.

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Harness AI to create brand new and royalty-free music. Select the genre and length, determine the desired energy level, and modify the energy and tempo in different sections of the track. Apply the code "matt88337" for an additional discount.
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Loudly is an AI-driven music creation platform that allows users to produce, customize, and explore music specifically suited to their needs. It offers the capability to instantly generate original, high-quality tracks, discover music through AI-driven suggestions, remix songs, and access a collection of royalty-free music and sounds adaptable for various projects. Content creators, startups, small and medium enterprises, filmmakers, and multimedia artists can utilize Loudly to enrich their digital projects with tailored soundtracks, streamline their creative processes, and make their content distinctive without concerns over copyright issues. The platform's user-friendly nature and ability to effortlessly create unique music make it a compelling option for anyone seeking to enhance their videos, applications, or other multimedia content with professional-grade audio.
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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.