Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.

Olaf: Overly Lightweight Acoustic Fingerprinting is a portable acoustic fingerprinting system.

Separation models for Audio Fingerprinting

Hopefully improves your privacy by replacing browser fingerprints

The world's easiest, smallest and powerful visitor identifier for browsers.

AcoustID's web site and API

Java SDK for Fingerprint Pro Server API

C library for generating audio fingerprints used by AcoustID

The Segment Source function allows you to use Fingerprint Pro visitor identification data as a data source in Segment. The function recieves the data through webhooks and normalizes them into Segment Specs.

Node.js wrapper for FingerprintJS Server API

C#/Dotnet SDK for Fingerprint Pro Server API

Go SDK for Fingerprint Pro Server API

Python SDK for Fingerprint Pro Server API

PHP SDK for Fingerprint Pro Server API

Swift wrapper for Chromaprint, the audio fingerprint library of the AcoustID project

Minimalistic search engine searching in audio fingerprints from Chromaprint

SpectroMap is a peak detection algorithm that computes the constellation map for a given signal

A repository for my MSc thesis in Data Science & Machine Learning @ NTUA. A deep learning approach to audio fingerprinting for recognizing songs on real time through the microphone.

golang wrapper for chromaprint