
Carolina Arenas, Head of Latin America at Audio Network
Audio Network announced the implementation of new features based on artificial intelligence to optimize the music search experience on its platform. New features include tools such as Audio Search, Prompt Search and similar track features, which allow users to access more than 290,000 tracks without requiring technical knowledge or musical training.
The Audio Search tool allows users to search for music based on referral links from platforms such as YouTube, Spotify, TikTok, Apple Music, Vimeo or SoundCloud. Meanwhile, with Prompt Search it is possible to use natural language to find tracks based on the description of a scene, a phrase or a brief, thus facilitating the work of creatives, producers and agencies.
“These tools improve personalization, precision and efficiency in the search, without the user having to know technical musical terms or specific keywords,” explained John Maxsween, Director, Creative & Delivery at Audio Network.
In addition, each track on the site now features a “similar tracks” tab that combines automated recommendations with selections made by the company’s music team. These features are also present in the human-curated playlists, where a button allows new related tracks to be generated.
The tools are backed by AIMS technology, whose algorithm analyzes a wide range of factors, including each track’s “audio fingerprint” (waveform, tonality, tempo, metrics, instrumentation) and metadata tagged by the human team, such as style, mood, genre and subgenre.
“With these innovations we seek to make life easier for our clients at all stages of the creative process, from the initial search to the final track selection,” added Carolina Arenas, Head of Latin America at Audio Network.
Although the platform does not yet offer individual personalization based on search history, internal sales and content teams provide constant feedback to AI developers to improve the quality of recommendations.
Upcoming enhancements in Audio Network development include tools to generate keyword synonyms, expand metadata coverage, and analyze lyrics for thematic searches. Lyrics translation features are also planned to expand the usefulness of the catalog in non-English speaking territories.