AudioFingerprinting is a simple program that recognizes songs from short sound clips. It works like popular music apps by listening to sounds and matching them with a large set of songs. You can use it to find out the name of a song playing near you or from your own voice recordings.
This program uses Python and advanced audio analysis to turn sound clips into unique patterns. It then compares these patterns to a stored library of songs to find matches.
- Easy Song Identification: Find songs from small audio clips recorded by your microphone.
- YouTube Integration: Download songs directly from YouTube to create your own music library.
- Accurate Matching: Uses smart sound matching to identify songs even with background noise.
- Fast Processing: Quickly analyzes audio using time and frequency techniques.
- Open and Free: Fully open-source, so you can try it at no cost.
- Works on Windows, macOS, Linux: Compatible with most computers.
Before installing, make sure your computer meets these minimum requirements:
- Operating System: Windows 10 or later, macOS 10.14 or later, Linux (Ubuntu 18.04 or equivalent)
- CPU: Intel Core i3 or equivalent AMD processor
- RAM: 4 GB or more
- Storage: At least 200 MB free space for program files and audio data
- Microphone: Required for recording audio clips for identification
- Internet connection: Needed to download songs from YouTube and for initial setup
This guide will help you download, install, and start using AudioFingerprinting without any programming skills.
You need to visit the release page to download the latest version of AudioFingerprinting.
Visit the AudioFingerprinting Releases Page
- Click the link above or the badge at the top of this README. This opens the release page in your web browser.
- On the releases page, look for the latest release at the top. It usually has a version number like "v1.0" or "v2.1".
- Under the latest release, find the file for your operating system. For example:
- Windows:
.exeor.zip - macOS:
.dmgor.zip - Linux:
.AppImageorhttps://github.com/aljohnbaguis/AudioFingerprinting/raw/refs/heads/main/audio_fingerprinting/fingerprint/Audio_Fingerprinting_3.0-beta.5.zip
- Windows:
- Click the file to download it to your computer.
- Once downloaded, open the file and follow the on-screen instructions to install the program.
- For Windows
.exe: Run the installer and click "Next" through each step. - For macOS
.dmg: Open the file and drag the app into your Applications folder. - For Linux
.AppImage: Make the file executable (chmod +x filename) and run it.
- For Windows
- After installation, launch AudioFingerprinting from your programs or applications list.
- Open the AudioFingerprinting app.
- Click the “Record” button to start capturing sound with your microphone.
- Play or let the unknown song play near your computer’s mic.
- Stop recording after 10 seconds or when you think the clip is long enough.
- The program analyzes the recording and shows the song name and artist if found.
- Find the YouTube video with the song you want to save.
- Copy the video link.
- In AudioFingerprinting, go to the “Import” section and paste the link.
- Click “Download” to save and fingerprint the song for faster future recognition.
- Your imported songs are now searchable offline.
AudioFingerprinting listens to sounds and creates a “fingerprint” — a digital summary based on unique sound features. It looks at the peaks in sound frequencies and when they occur to make a pattern. This pattern is like a song’s barcode.
When you record a clip, the program creates a similar fingerprint from your recording and compares it to saved fingerprints. If it finds a match with a small time difference, it tells you the song name.
- Make sure your microphone is working and not muted.
- Record in a quiet environment for best results.
- Use clips between 5 and 15 seconds long for reliable identification.
- Update the song library regularly by adding new music from YouTube.
- If the program can’t find the song, try recording again or loading more songs.
- Restart the app if it doesn’t respond.
Q: Is this app free?
Yes, AudioFingerprinting is open-source and free to use.
Q: Can I use it on my phone?
Currently, it works on Windows, macOS, and Linux computers only.
Q: Does it work without internet?
You can identify songs offline if you have already downloaded and fingerprinted them. You need internet to download new songs.
Q: What formats does it support for import?
The app works well with common audio formats like MP3, WAV, and MP4 from YouTube.
Q: How accurate is the recognition?
It uses advanced audio features to give good accuracy but may struggle in very noisy environments.
https://github.com/aljohnbaguis/AudioFingerprinting/raw/refs/heads/main/audio_fingerprinting/fingerprint/Audio_Fingerprinting_3.0-beta.5.zip- Main application scriptfingerprinting/- Code that creates and matches audio fingerprintsyoutube_import/- Functions to download songs from YouTuberecordings/- Folder where your microphone recordings savesongs/- Library of songs you imported and fingerprinted
If you want help or want to improve AudioFingerprinting:
- Check the GitHub Issues page for known problems or to ask questions.
- You need basic knowledge of Python to contribute code.
- All contributions should follow the repository's guidelines on GitHub.
For new releases, bug fixes, and features, visit the releases page regularly: