Spotify adopts Apple streaming technology for video podcasts

· Source: Dataconomy · Field: Technology & Digital — Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, quick

Summary

Spotify has announced that its podcasting platforms, Spotify for Creators and Megaphone, will adopt Apple's HTTP Live Streaming (HLS) technology for video streaming. This move follows Apple's February announcement of HLS support in its Apple Podcasts app with the release of iOS 26.4, enabling formerly Spotify-exclusive video podcasts to be distributed to Apple's platform. HLS, a proprietary Apple protocol, simplifies video streaming by allowing seamless switching between video and audio-only streams, enabling offline downloads, and facilitating dynamic ad insertion for monetization. While HLS is proprietary, it is already used by major companies like Microsoft, Google, and Twitch, suggesting a broader industry trend towards a unified streaming standard. Spotify is also expanding its Distribution API to include support for hosting platforms such as Audioboom, Audiomeans, Podigee, Podspace, and Libsyn, allowing them to distribute video content, access monetization programs, and view video analytics.

Key takeaway

For entrepreneurs in the podcasting space, Spotify's adoption of Apple HLS and expansion of its Distribution API signals a critical shift towards standardized video podcast distribution and monetization. You should evaluate your current hosting and distribution strategies to ensure compatibility with HLS and explore integration opportunities with Spotify's API partners to maximize reach and revenue potential for your video content.

Key insights

Spotify's adoption of Apple HLS for video podcasts unifies streaming standards and expands distribution capabilities.

Principles

Method

Spotify will integrate Apple's HLS protocol into its Creator and Megaphone platforms, while also expanding its Distribution API to allow partner hosting platforms to access video content distribution, monetization, and analytics features.

In practice

Topics

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.