Spotify Music Downloader

🎵 Is a free asynchronous library from reverse engineered Shazam API written in Python 3.10+ with asyncio and aiohttp.

Experimental Audio Search Algorithm Implementation (Shazam demo)

Desktop music recognition application for windows

Recognize and Visualise Songs in Your CLI

Findit is a Python program which can detect audio clips from a database of stored audio files.

Telegram bot for downloading music from YouTube/Spotify, media from Twitter/X, videos and musics from YouTube, recognizing music from voice, fetching lyrics, and more. Supports various formats.

Automatically identify and catalog tracks from DJ mixes, live streams, and audio files using audio fingerprinting. Generate formatted track lists in JSON, Markdown, and M3U formats.

Detect songs from the microphone or spotify and display their lyrics in real time, synced up to the song.

Use shazam to rename and filled the tag of a list of mp3 files

Audio fingerprinting and recognition

Detecting segments belonging to which song in database, and return Nil if does not exist in a database.

Instructions to build a pi-based mobile device that can record, analyze and identify music on the go, similar to the famous "Shazam" app for smartphones.

Shazam Music Downloader is a Python application that automates the process of downloading playlists of recently Shazamed songs, as well as other identified music. The program reads a CSV file and downloads the songs from YouTube using Python libraries.

A simple Shazam downloader.

an (un)Official Shazam web client built using Django

Raspberry Pi application that detects music with ML, identifies it using Shazam, and shows the song information on an e-ink display

Instructions to build a pi-based mobile device that can record, analyze and identify music on the go, similar to the famous "Shazam" app for smartphones.

AutoID3 is a simple command-line tool which makes use of Shazam to automatically add title, artist, album, genre, and cover art metadata to supported mp3 tracks.