OUR BEST-IN-CLASS AI-POWERED METADATA LEVERAGES THE LARGEST, MOST DIVERSE, MOST ACCURATE TAGGING MODEL AVAILABLE ANYWHERE
Descriptive term possibilities
Metadata fields tagged
Standard Tagging Includes:
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12 reasons to tap into our best-in-class AI-powered metadata solution
- Increase Accuracy
- Enable Consistency
- Save Time & Money
- Personalize Experiences
- Optimize Search
- Identify & Utilize Lyrics
- Generate Playlists
- Enhance Curation
- Enable Interactivity
- Optimize for Synch
- Improve Reporting
- Uncover Trends & Insights
Ensure your entire catalog always has its best foot forward with complete, comprehensive, consistently accurate metadata everywhere it can be found.
No matter how large your catalog, consistency in terminology, categorization, and descriptive output is guaranteed.
Using our AI-powered metadata solution, songs can be accurately be tagged in seconds and at a fraction of the cost vs. other traditional methods. This can significantly streamline the process of tagging and categorizing music in databases of any size.
Leveraging AI-powered descriptive metadata to create personalized music recommendations based on user preferences, listening history, and mood preferences, leading to improved user engagement and retention.
Our model taps hundreds of thousands of inbound search queries each week to understand exactly how content creators are describing the music they are looking for, and we apply this to our AI-powered metadata model to ensure your metadata is on-trend and on-time.
Identified lyrics are indexed, making songs more discoverable in searches; this alone is a massive time and cost savings compared to alternative lyric transcription methods.
Utilizing AI-powered metadata to dynamically generate playlists based on various factors like user mood, time of day, activities, or contextual events, leading to more engaging and relevant playlists.
Enabling music platforms to curate and discover new music based on the AI-powered metadata analysis, thereby promoting lesser-known songs and artists, and expanding the music selection they tap into.
Integrating AI-powered metadata into interactive music streaming platforms, where users can customize aspects of a song (e.g., instrument mix, tempo) to create personalized versions of the music they love.
Using AI-powered descriptive metadata to match music to specific media content like films, advertisements, or video games, ensuring a seamless and appropriate fit between music and visuals.
Employing AI-powered metadata to create unique IDs for each song, aiding in copyright protection, ownership tracking, and royalty reporting.
Leveraging AI-powered metadata to analyze music consumption patterns, identifying emerging trends, and making data-driven decisions for content acquisition and promotion.
Do even more with our API
+ Easily integrate with other Enterprise/third-party systems or create your own custom front-end
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