Shazam comes to ChatGPT: here's how it will work

11-03-2026

OpenAI and Apple are introducing a new integration in ChatGPT that lets users recognize songs via Shazam directly within the chat. The feature makes it possible to identify a track without leaving the app or opening external services.

How music recognition works

To activate recognition, simply type a command like "@Shazam" or ask the assistant to identify the music playing. A button then appears to enable the microphone: the system records a few seconds of audio and starts the analysis.

The process is quick. Once the track is identified, ChatGPT returns a card with the key information: title, artist, cover art and a listening preview. The interface echoes the look of Apple's music services, recalling the experience already familiar to users of Shazam, which has been recognizing music for over twenty years.

Availability across multiple platforms

The update affects the AI assistant's entire ecosystem. Although Shazam is an Apple-owned service, it will be usable not only on iOS but also on Android and in the web version of ChatGPT, making music recognition accessible from any device running the app.

Users who already have Shazam installed on their smartphone will be able to automatically save identified tracks to the app's personal library, keeping a history of their musical discoveries. The integration also includes links to streaming platforms like Spotify and Apple Music, making it possible to start listening or use recognized tracks as the basis for new playlists.

The feature isn't switched on automatically for everyone: to use it, you need to connect Shazam in ChatGPT's integrated apps section. The global rollout has already begun, with availability for all users expected in the coming weeks.

OndaRock Logo

Ride the wave of great music

Add OndaRock to your favorite sources on Google Discover. Don't miss our reviews, milestones and latest news straight in your feed.

This article is an English translation of the original Italian text by OndaRock Staff, published on OndaRock.it. It was translated with the help of artificial intelligence, under the editorial responsibility of OndaRock's editor-in-chief, Claudio Fabretti.

Read the original in Italian · About the English edition