Song identification combining landmark audio fingerprinting with CNN/AST/MERT embeddings (contrastive InfoNCE), benchmarked on Jamendo with strong noise robustness.

AudioFingerprint is a production-ready, local audio fingerprinting and song identification system inspired by Shazam and Google Sound Search. It uses spectral peak extraction and combinatorial hashing to identify songs from short audio clips in milliseconds, with a clean Python + Flask architecture suitable for real-world deployments.

TrackRadar is a music recognition bot that uses the Twitter API to identify songs from video content. Enhance your music discovery experience on Twitter with TrackRadar.

Ambient music identification for the Even Realities G2

Shazam-inspired audio fingerprinting engine for real-time music recognition.

Nirvana is a music identifier extension designed to help users quickly identify songs playing in the browser.

Zham app

Your media assistant in Telegram: download video & music from 200+ platforms (YouTube, TikTok no-watermark, Instagram…), find a song from a video or by humming, edit media — 20+ tools, AI subtitles, audio effects

Music Identifier App built with ShazamKit and SwiftUI, enabling users to recognize and discover songs seamlessly.

Shazam APIs.json profile