Music is full of information and this is why we transform the audio signal into actionable data. Our solution makes it easy to add music analysis to your applications. Niland API lets you easily build powerful music search and discovery into your applications by encapsulating cutting-edge deep learning-based technologies in an easy to use REST API. It finds musically similar tracks and classifies music into hundreds of labels (e.g., "hip-hop", " synthesizer", "female voice").
Niland API enables you to enrich your tracks with descriptive tags, curate and understand your content, generate consistent playlists, build smart radios, and create new experiences through music analysis.
Audio search, automatized tagging and music similarity features unlock access to your incredible content
Licensing Companies – Production Music Libraries – Publishers – Distributors – Creative Agency
A powerful and flexible recommendation & discovery engine to tune listening experiences at scale.
Music Streaming Services – App Makers – Broadcasters – Hardware Manufacturers
Increase your users’ engagement. Your users expect the fastest access to music they’re looking for. Meet their expectations with our product.
Forget about the complexity of music indexation and recommendation. Automate the performance of repetitive, error prone tasks
Our technologies are available through a REST API. Scalability, maintenance & constant improvement, we take care of everything.
Whether you own a large catalog you monetize or stream music to end users, we have the solutions to solve your music search and discovery problems. Labels, libraries, publishers, streaming services and creative agencies use our platform.Clients & Success Stories
Having better metadata to power our search engine was a vital process. A manual tagging was a colossal amount of work to accomplish. We needed a reliable, accurate and fast solution.
Using music to find music is easier, faster and more natural.
I must say it’s stellar! Niland is the first company I’ve seen who has solved the audio search issue. Great job.
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