How Snipd is using AI to ‘unlock knowledge’ in podcasts
Podcasting has emerged as a major billion-dollar industry, with ad revenue in the U.S. alone expected to hit $2 billion this year — a figure that’s set to double by 2024. Against that backdrop, major players in the field are bolstering their podcasting armory, with Spotify recently doling out around $85 million for two companies specializing in podcast measurement and analytics, while Acast recently snapped up Podchaser — an “IMDb for podcasts” that gives advertiser deeper data insights — in a $27 million deal.
But as the big platforms lock horns in the hunt for podcasting riches, smaller players continue to arrive on the scene with their own ideas on how they can advance the podcast medium for creators and consumers alike.
One of these is Snipd, a Swiss startup building a podcast app that uses AI to transcribe content and synchronize with note-taking apps; automatically generate book-style “chapters”; and, as of this week, deliver podcast highlights in a TikTok-style personalized feed.
Similar to other so-called “podcatcher” apps, Snipd works by users searching and subscribing to podcasts that are of interest to them — this could be anything from true crime to history and sport. But Snipd is striving to be much more than another podcatcher, in terms of how it analyzes the content of episodes to help listeners curate and get to the heart of the details that matter.
For example, Snipd can create “chapters,” which separates each episode into navigable segments with their own title, while it can also generate transcripts of entire shows.
Snipd: AI-generated “chapters” and transcriptions
On top of that, users can manually create “snips” as they listen to an episode, allowing them to save their favorite moments and add notes to
Read more on techcrunch.com
