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.
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Updated
May 23, 2024 - TypeScript
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.
C library for generating audio fingerprints used by AcoustID
The world's easiest, smallest and powerful visitor identifier for browsers.
Olaf: Overly Lightweight Acoustic Fingerprinting is a portable acoustic fingerprinting system.
Minimalistic search engine searching in audio fingerprints from Chromaprint
Hopefully improves your privacy by replacing browser fingerprints
Find similar audio files easily
Findit is a Python program which can detect audio clips from a database of stored audio files.
General purpose, real-time audio recognition engine
c++ implementation of the fingerprinting algorithm suggested in the dejavu audio fingerprinting project
PHP fpcalc wrapper
Audio Fingerprinting and Recognition in Python using NVidia's CUDA
Audio fingerprinting and recognition
PHP SDK for Fingerprint Pro Server API
Full-stack song recognition application with audio fingerprinting and hum to search (QbSH) modules
Swift wrapper for Chromaprint, the audio fingerprint library of the AcoustID project
SpectroMap is a peak detection algorithm that computes the constellation map for a given signal
A simple audio fingerprinting system
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