Shazam API

The Shazam API is a powerful tool that provides developers with the ability to integrate song identification and music recognition capabilities into their applications. It allows users to identify songs by submitting audio snippets and retrieve details about the recognized tracks.

The Shazam API leverages advanced algorithms and a vast music database to ensure high accuracy in song identification. While it strives to accurately recognize a wide range of songs, it is important to note that certain factors such as audio quality, background noise, or uncommon tracks may affect the recognition success rate.

The Shazam API supports a variety of audio formats, including but not limited to MP3, WAV, FLAC, AAC, and OGG. It is recommended to consult the API documentation for the complete list of supported audio formats.

Yes, the Shazam API is designed to identify songs in various languages. It utilizes language-agnostic algorithms and a diverse music database to handle multilingual song recognition.

While there is no strict limit, it is recommended to keep the audio snippet size within 3 MB and ideally around 500 KB for optimal performance. Additionally, shorter audio snippets of a few seconds typically yield better results. Larger audio files or longer durations may increase processing time and affect recognition accuracy.

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