On This Page:
- Overview
- Datasets
- Providers
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- FAQ
What is Music Data?
Music data refers to a collection of structured information related to various aspects of music, including metadata, audio features, user preferences, and music industry trends. It provides valuable insights into the world of music and its consumers.£
Examples of music data include song titles, artist names, album information, genre classifications, and audio features such as tempo, key, and duration. Music data is used for various purposes such as organizing and categorizing music collections, creating playlists, recommending similar songs or artists, analyzing music trends, and powering music streaming platforms. In this page, you’ll find the best data sources for music data.
Best Music Databases & Datasets
Here is our curated selection of top Music Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
OTT (Over-the-Top) Data, Entertainment data, Music Data, Movie Data, IMDB Reviews & Rating Data | Scrape all Publicly available Entertainment Data
Music Data for Machine Learning (ML) | 50,000 Music Files | Updated Weekly | Royalty Free Music | Pre-cleared for Generative AI
Chinese Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
Music Data for Large Language Models LLM | 50,000 Music Files | Updated Weekly | Royalty Free Music | Pre-cleared for Generative AI
Japanese Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
50K Music tracks | Machine Learning (ML) Music data | Stems | Professionally mixed | Cleared for ML/ AI
Country Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
Machine learning Music Data | 50,000 Files | Vocal and Instrumental | Cleared for Generative AI and Machine Learning | Soundsnap
Folk Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
Professional Sound Effects Dataset with Full Rights | Deep Learning Music Data | 800K Files with Great Human Metadata | Soundsnap
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Top Music Data Providers & Companies
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Rightsify
CoverageUSAUnited Kingdom+247GCX by Rightsify provides copyright cleared music datasets for ML and generative AI music projects. We offer millions of hours of music that is... -
Soundsnap
CoverageUSAUnited Kingdom+247We currently feature 800,000 sound effects and 50,000 tracks for machine learning and generative AI. Our library is trusted by companies such as... -
APISCRAPY
CoverageUSAUnited Kingdom+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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Gain Dynamics
CoverageSpainBrazil+4212 years building trust relationships with our clients supporting them to make informed decisions to boost their results, through the generation...Consumer DataMarket DataDigital Data -
TagX
CoverageUSAUnited Kingdom+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
Main Attributes of Music Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The first name of a contact. | View 15 datasets | |
| String | The last name (surname) of a contact. | View 15 datasets | |
| String | The abbreviation of a state name. | View 15 datasets | |
| Integer | The age of a contact. | View 14 datasets | |
| String | The gender of a contact. | View 14 datasets | |
| String | The name of a state. | View 12 datasets |
Frequently Asked Questions
What is Music Data?
Music data refers to a collection of structured information related to various aspects of music, including metadata, audio features, user preferences, and music industry trends. It provides valuable insights into the world of music and its consumers.
How is Music Data collected?
Music data can be collected from multiple sources such as music streaming platforms, online music databases, social media platforms, music analytics companies, and user-generated content. It is often gathered through APIs, web scraping, data partnerships, and user surveys.
What is Music Data used for?
Music data has diverse applications in the music industry, including personalized music recommendations, playlist curation, trend analysis, artist discovery, market research, audience segmentation, licensing decisions, and understanding user behavior and preferences.
What’s a quality checklist for Music Data?
A quality checklist for music data should include factors like accuracy of metadata, completeness of information, reliability of the data source, regular updates, consistency in formatting, appropriate licensing and copyright information, and adherence to data privacy regulations.
How is Music Data priced?
The pricing of music data depends on several factors such as the data’s depth, breadth, accuracy, exclusivity, and the provider’s reputation. Pricing models can vary, including one-time purchases, subscription plans, tiered pricing based on data volume or frequency of updates, or customized pricing for enterprise-level solutions.
