MusicBrainz Picard is a cross-platform music tagger powered by MusicBrainz.
Open source
24 alternativesDesktop App
The desktop app is a cross-platform C++ music recognition client for Shazam.
About Desktop App
vibra is a C++ library and command-line tool for music recognition using the unofficial Shazam API. It analyzes audio files, generates fingerprints, and queries Shazam's database to identify songs. It supports Linux, Windows, and macOS, with versions for WebAssembly, Python, and other languages through a C ABI. It handles WAV files natively and other formats such as MP3 and FLAC when FFmpeg is installed, and its fingerprints can be matched through Apple's ShazamKit SDK.
Key features
- Generate audio fingerprints from files or raw PCM input
- Recognize songs by querying Shazam database via CLI
- Native WAV support with optional FFmpeg for MP3, FLAC
- Fingerprints compatible with Apple ShazamKit SDK
- Python package via ctypes and JavaScript via WebAssembly
- Public C ABI for iOS, Android and other languages
Best for: Developers building music recognition into desktop, server, embedded, Python, or web-based projects.
Good for
- Open-source library and CLI with JavaScript, Python and FFI support
- Supports Linux, Windows, macOS, WebAssembly and embedded devices
- Generates fingerprints compatible with Apple ShazamKit SDK
Watch out for
- Native file support limited to WAV without optional FFmpeg
- Native build requires CMake, with libcurl needed for CLI tool
- Recognition relies on unofficial Shazam API
Desktop App at a glance
- Category
- Music & Audio › Music Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Desktop App FAQ
What audio formats can it process?
WAV files natively, and other formats such as MP3 and FLAC when optional FFmpeg is installed.
How do I recognize a song from a file?
Use the command vibra --recognize --file sample.wav, which writes identification results to JSON.
Can fingerprints be used with the official ShazamKit?
Yes. Fingerprints generated by vibra are compatible with Apple's ShazamKit SDK for matching on supported platforms.
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