AIMS API Launches Prompt Search – A Music Search Tool That Uses Natural Language

AIMS API, a company specialising in AI-powered music similarity search and music tagging, has launched Prompt Search - a new product that allows exploring music catalogues using natural language, phrases, and descriptions instead of traditional keywords and tags.

Prompt Search is revolutionary in that it makes finding the right tracks for audio-visual projects as simple and enjoyable as taking advice from a musically knowledgeable friend. All the user needs to do is type in a search describing what they are looking for; this could be a scene, location, time period, musical style or even an entire music brief. The AI developed by AIMS will then identify suitable tracks based on the audio only and deliver perfect results in seconds. Even catalogues with no keywords and tags can be searched this way, making it possible to explore entire music catalogues using natural language and discover suitable results that might otherwise stay hidden.

Established in Prague in 2019, and now with representatives in West and East Coast USA, London and Copenhagen, AIMS was developed by music publishing and sync company owners with a deep understanding of the creative industries.

The introduction of Prompt Search takes the future of music search and discoverability to an entirely new level by providing a fast, reliable, and intuitive solution that benefits record labels, publishers, production music catalogues, broadcasters and TV and film companies. It also benefits content creators, playlist curators and music supervisors by maximising music discoverability and minimising the amount of time and effort needed to find the perfect track.

Several proprietary technologies were used in the making of Prompt Search, and its development builds on over five years of research undertaken by AIMS API. 

You might also like...

Designing IP Broadcast Systems: Addressing & Packet Delivery

How layer-3 and layer-2 addresses work together to deliver data link layer packets and frames across networks to improve efficiency and reduce congestion.

The Business Cost Of Poor Streaming Quality

Poor quality streaming loses viewers at an alarming rate especially when we consider the unintended consequences of poor error reporting on streaming players.

Future Technologies: Asynchronous Transport

In this first in a series of articles considering technologies of the near future and how they might transform how we think about broadcast, we begin with the potential for asynchronous transport streams.

Next-Gen 5G Contribution: Part 1 - The Technology Of 5G

5G is a collection of standards that encompass a wide array of different use cases, across the entire spectrum of consumer and commercial users. Here we discuss the aspects of it that apply to live video contribution in broadcast production.

Why AI Won’t Roll Out In Broadcasting As Quickly As You’d Think

We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration;…