Pex Adds Apple Podcasts to its Content Identification Capabilities

Music is an integral part of podcasts, and as podcasting takes off as a format, knowing what music happens where will be increasingly important for rights holders. That’s why Pex has added podcasts to the dozens of online audio and video platforms and services it already scans for its clients.

Pex will now be able to find musical works and audio snippets as short as a half second in all podcasts uploaded to Apple Podcasts. With an estimated 750,000 podcasts out there and an audience of 62 million weekly podcast listeners in the US alone, podcasts are a vital piece of music rights holders’ asset management puzzle, one Pex can help them track.

Pex uses its powerful fingerprinting technology to detect its clients’ audio files, tracking billions of pieces of content across the internet. It can find a match even when the copy is distorted or very short. It allows rights holders to see exactly how and where music is being used, and thus to address any uses that are not adequately licenced or fair use.

Pex already finds and flags audio and video assets on several dozen social apps and video platforms, from TikTok to YouTube. “As audio formats gain popularity thanks to new devices and offerings, Pex wants rights holders to be able to monitor these formats and make good decisions for their business,” says Amadea Choplin, Pex’s COO. “Podcasts are increasingly professionalized, monetized, and ad driven, and music rights holders should be part of the conversation when their assets are being used.”


Subscribe: The best music streaming news | Delivered every weekday morning

Published by


Jeff loves music... and music streaming. He also loves band t-shirts, which has become something of an obsession. There's a vintage Roxy Music t-shirt on eBay for $299 he is absolutely going to get one day.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.