Benztown brings AI to audio library searches

Benztown has launched an AI-based imaging library platform.

The new AI-powered search functionality is designed to help audio producers quickly and easily find audio in Benztown’s imaging libraries. This technology, Benztown says,  leaves behind the now-dated and more time-consuming search methods using metadata.

Users are able to upload any audio file (mp3 or wav) to the library, or paste a link from YouTube, SoundCloud or Vimeo into the search field, and find files in Benztown’s imaging libraries that are similar to the example provided.

Benztown’s new AI platform downloads the audio file in the background and ingests it to the audio player, allowing the user to generate similar results based on the entire audio file or a specific time selection of the file.

The feature uses machine learning to identify potential tracks based on an example, explains Benztown. Any given track will have a multitude of identifying characteristics, similar to a fingerprint. These characteristics are compared to thousands of other tracks in the library to determine possible matches. The technology works similarly to Google’s “hum to search” feature, which helps people to pinpoint songs by simply humming part of a track.

Watch a guided tour of the search function here.

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