Cyanite AI

Cyanite AI
软件描述
Cyanite 是一款基于情感人工智能的动态音乐分析工具。它能够将音乐的情感影响转化为一种基于科学专业知识和独特数据集的通用语言。
官方网站
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cyanite.ai
什么是 Cyanite AI?
Cyanite is a dynamic music analysis tool based on Emotional Artificial Intelligence. It allows you to translate the emotional impact of music into a universal language based on scientific expertise and a unique data set. Our mission is to empower you to understand what really happens in a song. So your projects are about the music, not the discussion. Auto-Tagging Automatically generate comprehensive metadata for every song or catalog in seconds. From genre and mood to instruments and tempo, Cyanite extracts a rich set of valuable tags directly from your audio files. Spend more time on creative work and less on manual tagging. Auto-Description Extract captivating full-text descriptions directly from any song, saving you time and effort. Cyanite generates descriptive narratives that capture the essence and mood of your music. Dive into a world of rich, evocative descriptions and let your music speak for itself. Similarity Search Discover musical kinship instantly. Input a reference song and unlock a world of similar songs, transcending catalog sizes, ideal for sync, music supervision, A&R, content creation, curation, and more. Keyword Search With a vast selection of 1,500 keywords at your fingertips, effortlessly combine and weigh different keywords to fine-tune your music search. Discover the perfect tracks allowing you to curate your sound with ease and precision. Free Text Search With our groundbreaking Free Text Search, you can search for music in your own words, breaking free from traditional tags. Leverage the limitless possibilities of describing the sounds you seek, limited only by your imagination. Discover a new era of music search, where complex text input is instantly transformed into its closest musical equivalent. Visualizations Showcase music and identify patterns with our intuitive graphs. Support pitches, marketing and content strategies with detailed data and empower yourself and others with the data to make informed decisions and unlock new possibilities in the work of music.