Audioburst: Revolutionizing Radio with AI Search

Launched in 2014, Audioburst is a groundbreaking platform that enables users to search through worldwide radio broadcasts. Its AI technology automatically segments radio shows into searchable "articles," complete with titles, subtitles, and the audio itself, preserving every radio moment.

In collaboration with Ofer Shani, my role was to design a website that facilitates quick and intuitive searches of radio content, while also recommending captivating listening options based on user preferences. We delved deep into the essence of radio search experiences, exploring effective ways to represent and navigate audio content.

Confronted with the challenge of accurately transcribing diverse accents, we created a visually engaging interface to offset any transcription inaccuracies. This interface integrates text, audio visualizations, thematic imagery, and provides users with the option to suggest corrections.

This project has yielded a platform that not only introduces a novel interaction with radio content but also enhances the digital landscape with automatically curated articles, making ephemeral radio stories permanently accessible and discoverable.