SeaDve/Mousai

Identify songs in seconds

What it solves

Mousai is a song recognition application that allows users to identify unknown music playing in their environment or on their computer, similar to how Shazam works.

How it works

The application uses the AudD music recognition API to analyze audio input and return the title and artist of the song. It can capture audio from either the user's microphone or directly from the desktop audio output.

Who it’s for

Users who want a simple, lightweight desktop application to identify songs and build a personal repertoire of recognized music.

Highlights

  • Multi-source recognition: Identify music from both the microphone and system audio.
  • Song Management: Save recognized songs for later viewing, even when offline.
  • Integrated Previews: Preview songs directly within the interface.
  • External Integration: Browse and listen to identified songs via various music providers.

Related

  • Project
    ptnghia-j/ChordMiniApp

    An open-source music analysis tool that provides automatic chord recognition, beat tracking, and melody transcription with interactive visualizers.

  • Project
    NeptuneHub/AudioMuse-AI

    AudioMuse‑AI is an open‑source, self‑hosted application that analyses the actual audio of your music collection to create sound‑based fingerprints. Using those fingerprints it can cluster similar tracks, generate instant mood‑oriented playlists, map the library on a 2‑D visual canvas, and answer natural‑language queries. It works with Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex, and can be run via Docker‑Compose, a Helm chart, or native macOS/Windows/Linux packages.

  • Project
    AddictedCS/soundfingerprinting

    A C# framework for audio and video fingerprinting and recognition, enabling the fast identification of media content through acoustic and video hashes.

  • Project
    microsoft/muzic

    A research project from Microsoft Research Asia that provides a suite of deep learning models for music understanding, generation, and AI-driven music processing.

  • Project
    LYiHub/pub-local-jarvis

    A local multimodal desktop assistant for Windows that perceives screen and system audio to provide real-time gaming companionship, course notes, and contextual AI interaction.