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

Epidemic Sound Soundmatch

Tags
Pricing model
Paid
Upvote 0
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.

Similar neural networks:

Free
Upvote 0
Vocal Remover is a complimentary online tool that assists users in extracting vocals from a song to produce a karaoke version. It employs artificial intelligence to distinguish the vocal parts from the instrumental elements. After selecting the song, the processing typically completes in 10 seconds. The user will obtain two tracks: one without vocals and another with the isolated vocals.
Paid
Upvote 0
0
Vozart AI is a cutting-edge tool for generating music from text prompts, producing fully finished, royalty-free tracks in just minutes without needing any musical expertise. It manages every part of song production, from composition to mastering, enabling users to export in different formats and work together in real-time. This makes it a popular choice among content creators, songwriters, marketers, and educators who need custom music for projects, valuing its user-friendly approach, rapid production speed, and adaptable licensing that removes the usual obstacles in music creation, while granting complete commercial usage rights.
Freemium
Upvote 0
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.