Cyanite.ai is an AI-powered platform that streamlines music discovery and enhances creative workflows for artists and producers.
Cyanite is an AI-powered music analysis platform that enhances the way music is organized, searched, and discovered. By providing automated tagging, similarity search, and catalog insights, Cyanite enables artists, producers, DJs, and music industry professionals to manage and utilize their music libraries more effectively.
Automated Tagging: Cyanite automatically generates detailed metadata for tracks, including genre, mood, instruments, and tempo, streamlining the cataloging process.
Similarity Search: Find tracks that sound similar to a reference song, aiding in music discovery and playlist curation.
Catalog Insights: Gain a comprehensive understanding of your music library's characteristics, helping to inform content strategy and marketing decisions.
Use Cases:
Artists and Producers: Enhance music promotion by accurately tagging tracks, making them more discoverable.
DJs: Optimize playlists and DJ sets through harmonic mixing and similarity analysis.
Music Publishers and Sync Teams: Improve catalog management and streamline sync licensing processes.
Unparalleled Accuracy: Cyanite's AI models are fine-tuned to deliver highly accurate music tagging results.
Customization: Tailor the solution to specific needs by selecting the tags and metadata that matter most.
Scalability: Whether managing a small library or a vast collection, Cyanite scales effortlessly to meet demands.
Cyanite offers flexible pricing tailored to different user needs:
Artists and Producers: Purchase additional credits via self-service subscription plans.
Businesses: For larger catalogs, pricing is customized based on catalog size and service requirements. Contact Cyanite to request a price calculator.
Please note that pricing may change; refer to the official Cyanite Pricing Page for the most current information.
Auto-Tagging: Generates a rich set of tags for songs, including genre, mood, instruments, lyric theme, and tempo.
Auto-Descriptions: Creates descriptive narratives that capture a song’s essence and mood in natural language.
Similarity Search: Identifies songs similar to a reference track by analyzing multiple factors like sound, vibe, and era.
Free Text Search: Allows intuitive music discovery using user-generated prompts, translating paragraphs into matching songs.
Visualizations: Transforms complex musical data into intuitive graphs to better understand music characteristics.
Catalog Insights: Provides a comprehensive visual representation of an entire music library, aiding in data-driven content strategies.
Access the Platform: Visit the Cyanite website and sign up for an account.
Upload Tracks: Use the web app to upload your music files for analysis.
Select Features: Choose the desired analysis features, such as Auto-Tagging or Similarity Search.
Analyze Music: Initiate the analysis process; the AI will process the tracks and generate the requested data.
Review Results: Examine the generated tags, descriptions, or similarity matches in your library.
Export Data: For business users, export the analysis results as a CSV file for integration into your catalog management system.
Tag Selection: Customize which tags and metadata fields are generated during analysis.
Integration Options: Choose to integrate Cyanite's analysis results with platforms like DISCO, Songspace, and Source Audio.
API Access: Developers can utilize Cyanite's API for seamless integration into existing systems.
High-Quality Audio Files: Use high-quality audio files to ensure accurate analysis.
Consistent Metadata: Maintain consistent metadata across your music library to enhance searchability.
Regular Updates: Keep your music catalog updated to take full advantage of Cyanite's features.
Export Issues: If you encounter problems exporting results, ensure you have the appropriate permissions and that your subscription plan supports this feature.
Tag Accuracy: If a If you encounter issues with tag accuracy, consider the following steps:
Review Input Quality: Ensure that the audio files you upload are of high quality and properly formatted, as poor input can affect analysis accuracy.
Contact Support: If you believe a tag is incorrect, reach out to Cyanite's support team for assistance.
Consistent Metadata Management: Maintain uniform metadata across your music library to enhance searchability and organization.
Regular Catalog Updates: Frequently update your music catalog to leverage Cyanite's features fully and keep your library current.
Utilize API Integration: For large-scale operations, consider integrating Cyanite's API into your existing systems to streamline workflows.
Neglecting Data Backup: Always back up your music files and metadata before performing bulk analyses to prevent data loss.
Overlooking Feature Updates: Stay informed about new features and updates from Cyanite to take advantage of improvements and enhancements.
Ignoring Customization Options: Tailor Cyanite's settings to your specific needs rather than relying solely on default configurations.
Efficient File Management: Organize your music files systematically to facilitate quicker analysis and easier access.
Leverage Batch Processing: Process multiple files simultaneously to save time and improve productivity.
Monitor System Resources: Ensure your hardware meets the necessary requirements to handle large-scale analyses without performance degradation.
Automated Tagging: Saves time by automatically generating detailed metadata for your music tracks.
Advanced Search Capabilities: Features like Similarity Search and Free Text Search enhance music discovery and curation.
Scalability: Suitable for both individual artists and large enterprises, accommodating various catalog sizes.
Learning Curve: New users may require time to fully understand and utilize all features effectively.
Customization Limitations: While Cyanite offers a range of features, some users may desire more tailored solutions specific to their unique needs.
Cyanite is a powerful AI-driven music analysis tool that streamlines the organization, search, and discovery of music through automated tagging, similarity search, and comprehensive catalog insights. By adhering to best practices and utilizing its core features, users can significantly enhance their music management workflows, leading to increased efficiency and better decision-making in their musical endeavors.
