SONOTELLER.AI is a cutting-edge AI music analysis engine that provides detailed insights into songs by analyzing both lyrics and musical composition. It identifies genres, subgenres, moods, instruments, BPM, and key, offering a comprehensive summary of each track. This tool is perfect for music lovers and industry professionals seeking to enhance their music discovery and distribution processes. With SONOTELLER, you can automatically tag and categorize your music, making it easier to manage your catalog and optimize its visibility across various platforms.
Unlock the power of AI with SONOTELLER for effortless song analysis
SONOTELLER.AI utilizes advanced machine learning algorithms to analyze audio files and lyrics simultaneously. The AI engine processes the audio data to identify various musical attributes such as tempo, key, and instrumentation. Concurrently, it analyzes the lyrics to extract themes, moods, and explicit content. By merging these analyses, SONOTELLER provides a comprehensive summary of the song, including its genre and subgenre classification. The system can automatically tag songs based on identified characteristics, facilitating easier catalog management and music discovery. The identification of the 'golden minute' allows users to focus on the most impactful parts of the song, enhancing the listening experience. Overall, SONOTELLER.AI streamlines the process of understanding and organizing music, making it a vital tool for both casual listeners and industry professionals.
To use SONOTELLER, simply enter the song title or paste a YouTube link into the search box. In less than a minute, SONOTELLER will analyze the song and provide detailed insights, including genres, moods, and a summary of the lyrics. For best results, ensure you use high-quality audio files or official YouTube links.
With SONOTELLER.AI, simplify your music analysis journey today and discover a new realm of insights.
Features
Lyrics and Music Analysis
SONOTELLER analyzes both song lyrics and musical attributes, providing a comprehensive overview of the track's characteristics.
Genre and Mood Identification
Quickly identifies the genre, subgenre, and mood of each song, enhancing music discovery.
Automatic Tagging
Automates the tagging process, making it easier to manage and categorize your music catalog.
Integration with APIs
Offers API access for seamless integration into existing workflows and catalog management systems.
Golden Minute Identification
Identifies the highlights of a song, helping users focus on the most engaging parts.
Detailed Insights
Provides insights on BPM, key, instruments used, and explicit content, giving a holistic view of the song.
Use Cases
Music Discovery
Music lovers
Playlist curators
Use SONOTELLER to discover new music by analyzing songs and finding similar tracks based on mood and genre.
Content Creation
YouTubers
Podcasters
Content creators can analyze songs to find the best snippets for videos, ensuring alignment with themes and moods.
Music Catalog Management
Music labels
Publishers
Labels and publishers can automate the tagging process of their music catalogs, enhancing discoverability on streaming platforms.
Songwriting Improvement
Aspiring songwriters
Professional songwriters
Songwriters can gain insights into successful songs, helping them craft better music by analyzing popular tracks.
DJ Performance Preparation
DJs
Live performers
DJs can use SONOTELLER to identify highlights in songs for set preparation, making their performances more engaging.
Music Analytics
Music analysts
Market researchers
Industry professionals can leverage SONOTELLER for analytics and reporting, better understanding trends in music consumption.