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|---|---|---|
| client | ||
| db | ||
| models | ||
| scripts | ||
| shazam | ||
| spotify | ||
| utils | ||
| wav | ||
| .gitignore | ||
| appspec.yml | ||
| cmdHandlers.go | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| main.go | ||
| README.md | ||
| socketHandlers.go | ||
SeekTune 🎵
Description 🎼
SeekTune is an implementation of Shazam's song recognition algorithm based on insights from these resources. It integrates Spotify and YouTube APIs to find and download songs.
Installation 🖥️
Prerequisites
- Golang: Install Golang
- FFmpeg: Install FFmpeg
- MongoDB: Install MongoDB
- NPM: To run the client (frontend).
Steps
Clone the repository:
git clone https://github.com/cgzirim/seek-tune.git
Install dependencies for the backend
cd seek-tune
go get ./...
Install dependencies for the client
cd seek-tune/client
npm install
Usage 🚴
▸ Start the Client App
# Assuming you're in the client directory:
npm start
▸ Start the Backend App
In a separate terminal window:
cd seek-tune
go run *.go serve [-proto <http|https> (default: http)] [-port <port number> (default: 5000)]
▸ Download a Song
Note: A link from Spotify's mobile app won't work. You can copy the link from either the desktop or web app.
go run *.go download <https://open.spotify.com/.../...>
▸ Save local songs to DB (supports all audio formats)
go run *.go save [-f|--force] <path_to_song_file_or_dir_of_songs>
The -f or --force flag allows saving the song even if a YouTube ID is not found. Note that the frontend will not display matches without a YouTube ID.
▸ Find matches for a song/recording
go run *.go find <path-to-wav-file>
▸ Delete fingerprints and songs
go run *.go erase
▸ Setup MongoDB 🍃
SQLite is used as the default database; however, you can switch to MongoDB if desired.
To configure the database connection for MongoDB, set the following environment variables:
DB_TYPE="mongo"DB_USER: The username for the MongoDB database.DB_PASS: The password for the MongoDB database.DB_NAME: The name of the MongoDB database.DB_HOST: The host address of the MongoDB database.DB_PORT: The port number of the MongoDB database.
The database connection URI is constructed using the environment variables.
If the DB_USER or DB_PASS environment variables are not set, it defaults to connecting to mongodb://localhost:27017.
Example 📽️
Download a song
$ go run *.go download https://open.spotify.com/track/4pqwGuGu34g8KtfN8LDGZm?si=b3180b3d61084018
Getting track info...
Now, downloading track...
Fingerprints saved in MongoDB successfully
'Voilà' by 'André Rieu' was downloaded
Total tracks downloaded: 1
Find matches of a song
$ go run *.go find songs/Voilà\ -\ André\ Rieu.wav
Top 20 matches:
- Voilà by André Rieu, score: 5390686.00
- I Am a Child of God by One Voice Children's Choir, score: 2539.00
- I Have A Dream by ABBA, score: 2428.00
- SOS by ABBA, score: 2327.00
- Sweet Dreams (Are Made of This) - Remastered by Eurythmics, score: 2213.00
- The Winner Takes It All by ABBA, score: 2094.00
- Sleigh Ride by One Voice Children's Choir, score: 2091.00
- Believe by Cher, score: 2089.00
- Knowing Me, Knowing You by ABBA, score: 1958.00
- Gimme! Gimme! Gimme! (A Man After Midnight) by ABBA, score: 1941.00
- Take A Chance On Me by ABBA, score: 1932.00
- Don't Stop Me Now - Remastered 2011 by Queen, score: 1892.00
- I Do, I Do, I Do, I Do, I Do by ABBA, score: 1853.00
- Everywhere - 2017 Remaster by Fleetwood Mac, score: 1779.00
- You Will Be Found by One Voice Children's Choir, score: 1664.00
- J'Imagine by One Voice Children's Choir, score: 1658.00
- When You Believe by One Voice Children's Choir, score: 1629.00
- When Love Was Born by One Voice Children's Choir, score: 1484.00
- Don't Stop Believin' (2022 Remaster) by Journey, score: 1465.00
- Lay All Your Love On Me by ABBA, score: 1436.00
Search took: 856.386557ms
Final prediction: Voilà by André Rieu , score: 5390686.00
Resources 🗃️
- How does Shazam work - Coding Geek (main resource)
- Song recognition using audio fingerprinting
- How does Shazam work - Toptal
- Creating Shazam in Java
Todo
- Implement saving local songs to DB
- Add support for file-based DB as an alternative to MongoDB.
Author ✒️
- Chigozirim Igweamaka
License 🔒
This project is licensed under the MIT License - see the LICENSE file for details.