Mousai

Identify songs in seconds

Discover songs you are aching to know with an easy-to-use interface.

Mousai is a simple application that can recognize songs similar to Shazam. Just click the listen button, and then wait a few seconds. It will magically return the title and artist of that song!

Note: This uses the API of audd.io, so it is necessary to log in to their site to get more trials.

Why you will love Mousai?

• 🎵 Identify songs within seconds or save for later when offline
• 🎙️ Recognize from desktop audio or your microphone
• 🎸 Build a repertoire of recognized songs
• 🎼 Quickly preview the song within the interface
• 🌐 Browse and listen the song from different providers
• 📱 Easy-to-use user interface

🌈 AudD

AudD is a music recognition API that makes Mousai possible. For more information, you can check their Privacy Policy and Terms of Service.

🏗️ Building from source

GNOME Builder

GNOME Builder is the environment used for developing this application. It can use Flatpak manifests to create a consistent building and running environment cross-distro. Thus, it is highly recommended you use it.

1. Download GNOME Builder.
2. In Builder, click the "Clone Repository" button at the bottom, using https://github.com/SeaDve/Mousai.git as the URL.
3. Click the build button at the top once the project is loaded.

Meson

git clone https://github.com/SeaDve/Mousai.git
cd Mousai
meson _build --prefix=/usr/local
ninja -C _build install

📦 Third-Party Packages

Unlike Flatpak, take note that these packages are not officially supported by the developer.

Repology

You can also check out other third-party packages on Repology.

🙌 Help translate Mousai

You can help Mousai translate into your native language. If you found any typos or think you can improve a translation, you can use the Weblate platform.

☕ Support me and the project

Mousai is free and will always be for everyone to use. If you like the project and would like to support it, you may buy me a coffee.

💝 Acknowledgment

I would like to express my gratitude to the contributors and translators of the project.

I would also like to thank the open-source software projects, libraries, and APIs that were used in developing this app, such as GStreamer, GTK, LibAdwaita, AudD, etc., for making Mousai possible.

I would also like to acknowledge GNOME Shell whose issue templates served as the basis of Mousai's issue templates.