Cyanite.ai revolutionizes the way music is tagged, searched, and discovered. With its advanced AI technology, it offers a suite of features designed to enhance music catalog management and discovery. The platform's auto-tagging feature provides a rich set of tags for songs, including genre, mood, instruments, lyric theme, and tempo, ensuring a well-tagged music catalog with unprecedented accuracy, depth, and speed.
Cyanite.ai also excels in generating descriptive narratives for songs, capturing their essence and mood in natural language. This feature aids in finding the right words to get music placed effectively. The similarity search function allows users to input any reference song and discover a world of similar music within their repertoire. Cyanite.ai compares multiple factors like sound, vibe, and era to determine audio similarity, with results filterable by genre, BPM, voice, and more.
The platform's free text search capability intuitively discovers music based on user prompts, translating whole paragraphs into the right songs. Visualizations turn complex musical data into intuitive graphs, supporting pitches, marketing, and content strategies. Catalog insights provide a comprehensive visual representation of entire music libraries, making content strategies more data-driven.
Cyanite.ai is accessible via a user-friendly Web App, ensuring that everyone from musicians to music publishers can access and use its AI. The platform also offers API integration for larger music companies seeking to develop their own software and deeply integrate Cyanite’s AI into their services. With integrations into various catalog management systems, Cyanite.ai provides seamless AI-tagging and search without any technical lift.
Cyanite.ai is committed to accuracy, impartiality, and respect for diverse music cultures, offering efficient music analysis and unmatched support. Its highly customizable and adaptable AI enhances music discovery features across a wide range of industries and use cases, positioning Cyanite.ai at the forefront of the music industry's AI journey.
