SoundFingerprinting 3.0.0-alpha

This is a prerelease version of SoundFingerprinting.
There is a newer version of this package available.
See the version list below for details.
dotnet add package SoundFingerprinting --version 3.0.0-alpha
                    
NuGet\Install-Package SoundFingerprinting -Version 3.0.0-alpha
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="SoundFingerprinting" Version="3.0.0-alpha" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="SoundFingerprinting" Version="3.0.0-alpha" />
                    
Directory.Packages.props
<PackageReference Include="SoundFingerprinting" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add SoundFingerprinting --version 3.0.0-alpha
                    
#r "nuget: SoundFingerprinting, 3.0.0-alpha"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package SoundFingerprinting@3.0.0-alpha
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=SoundFingerprinting&version=3.0.0-alpha&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=SoundFingerprinting&version=3.0.0-alpha&prerelease
                    
Install as a Cake Tool

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.

Product Compatible and additional computed target framework versions.
.NET Framework net35 is compatible.  net40 is compatible.  net403 was computed.  net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (7)

Showing the top 5 NuGet packages that depend on SoundFingerprinting:

Package Downloads
SoundFingerprinting.Emy

SoundFingerprinting.Emy is a native C# client for Emy fingerprints storage. It provides ways to insert, query, delete entries from Emy. To learn more about SoundFingerprinting visit github page https://github.com/AddictedCS/soundfingerprinting. To learn more about Emy visit https://www.emysound.com

SoundFingerprinting.Audio.Bass

Un4seen.Bass extension library for SoundFingerprinting framework. SoundFingerprinting default library is designed to read only raw wave files. This extension provides the ability to read all files supported by Bass (including .mp3, .flac, .ogg). Un4seen.Bass is free for non-comercial use. If you intend to use this extension for commercial purposes, please contact http://www.un4seen.com for licensing

SoundFingerprinting.Audio.NAudio

NAudio extension library for SoundFingerprinting framework. This extension provides the ability to read all files supported by NAudio media foundation framework. Since NAudio depends on Windows native calls, this extension can execute only in Windows environment.

SoundFingerprinting.Solr

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.

SoundFingerprinting.SQL

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on SoundFingerprinting:

Repository Stars
cjmanca/plex-credits-detect
Augments plex's built in intro detection, additionally detecting credits.
Version Downloads Last Updated
14.0.0 306 1/12/2026
13.0.0 1,288 11/25/2025
12.8.0 526 11/13/2025
12.7.0 597 10/23/2025
12.6.0 719 10/6/2025
12.5.0 1,721 8/31/2025
12.4.0 832 8/25/2025
12.3.0 660 8/8/2025
12.2.0 817 7/22/2025
12.1.0 888 6/9/2025
12.0.0 580 5/1/2025
11.4.0 1,345 3/10/2025
11.3.0 6,800 3/3/2025
11.2.0 4,621 12/19/2024
11.1.0 973 10/29/2024
11.0.0 497 10/3/2024
10.7.0 1,523 8/8/2024
10.6.0 406 7/9/2024
10.4.0 519 6/5/2024
10.3.1 437 5/17/2024
10.3.0 295 5/16/2024
10.0.0 2,309 4/5/2024
9.5.0 427 3/27/2024
9.4.4 1,150 3/2/2024
9.4.2 575 2/27/2024
9.4.0 473 2/26/2024
9.4.0-beta1 210 2/23/2024
9.3.0 513 2/19/2024
9.2.0 517 2/6/2024
9.1.0 1,269 12/28/2023
9.0.0 1,320 11/30/2023
9.0.0-beta 688 11/22/2023
9.0.0-alpha 211 11/19/2023
8.33.0 606 12/28/2023
8.32.0 297 11/21/2023
8.30.0 1,261 10/25/2023
8.28.0 1,409 9/21/2023
8.27.2 758 9/18/2023
8.27.1 705 9/18/2023
8.27.0 588 9/14/2023
8.26.0 861 9/1/2023
8.25.0 918 8/28/2023
8.24.0 2,206 7/17/2023
8.23.0 4,116 5/15/2023
8.22.0 4,896 4/3/2023
8.21.0 3,850 1/22/2023
8.20.0 1,380 1/12/2023
8.19.0 3,141 12/12/2022
8.18.0 1,308 12/8/2022
8.17.0 1,349 11/30/2022
8.16.5 1,381 11/26/2022
8.16.3 1,273 11/22/2022
8.16.2 1,296 11/16/2022
8.16.1 1,378 11/14/2022
8.16.0 1,359 11/11/2022
8.15.0 2,871 9/20/2022
8.14.0 2,040 8/24/2022
8.13.0 7,361 8/16/2022
8.12.1-patch1 520 12/28/2023
8.12.0 4,653 6/6/2022
8.9.1 4,612 4/27/2022
8.9.0 1,521 4/27/2022
8.8.0 2,386 4/17/2022
8.7.0 2,768 4/6/2022
8.6.0 2,813 3/23/2022
8.5.1 2,103 2/23/2022
8.5.0 1,600 2/18/2022
8.4.0 1,648 2/8/2022
8.3.0 1,665 1/21/2022
8.2.0 1,858 1/6/2022
8.1.0 1,329 12/28/2021
8.0.0 3,835 12/22/2021
8.0.0-beta4 939 12/21/2021
8.0.0-beta3 1,055 12/8/2021
8.0.0-beta2 389 12/7/2021
8.0.0-beta 409 12/7/2021
8.0.0-alpha 396 12/6/2021
7.17.0 3,379 11/30/2021
7.16.0 2,457 11/26/2021
7.15.0 3,204 11/9/2021
7.14.0 1,418 11/9/2021
7.13.0 2,083 10/19/2021
7.12.0 1,479 10/13/2021
7.10.0 3,814 6/29/2021
7.9.9 3,116 5/10/2021
7.9.6 1,586 4/30/2021
7.9.4 1,514 4/27/2021
7.9.3 1,567 4/18/2021
7.9.0 24,879 4/5/2021
7.8.1 2,321 3/21/2021
7.8.0 1,428 3/19/2021
7.7.0 722 3/15/2021
7.5.5 2,304 1/25/2021
7.5.2 2,162 1/13/2021
7.4.24 3,288 11/30/2020
7.4.19 3,062 11/6/2020
7.4.13 5,549 8/25/2020
7.4.12 2,630 8/11/2020
7.4.11 1,642 8/4/2020
7.4.10 1,613 7/30/2020
7.4.7 3,356 7/22/2020
7.4.6 1,635 7/20/2020
7.4.1 3,997 6/25/2020
7.4.0 1,773 6/19/2020
7.3.3 3,557 5/12/2020
7.3.2 2,289 5/8/2020
7.3.1 1,658 5/4/2020
7.3.0 1,675 4/25/2020
7.2.0 2,881 3/31/2020
7.2.0-beta3 1,768 3/17/2020
7.2.0-beta2 1,300 3/12/2020
7.2.0-beta 1,436 2/27/2020
7.1.0 2,964 2/3/2020
7.1.0-beta4 1,361 12/11/2019
7.1.0-beta3 1,347 11/11/2019
7.1.0-beta2 739 11/5/2019
7.1.0-beta 1,369 10/23/2019
7.1.0-alpha 649 10/8/2019
7.0.0 5,204 7/1/2019
6.3.0 2,570 5/31/2019
6.2.2 4,755 5/1/2019
6.2.1 2,556 4/5/2019
6.2.1-beta4 754 3/27/2019
6.2.1-beta3 768 3/18/2019
6.2.1-beta2 743 3/17/2019
6.2.1-beta1 750 3/12/2019
6.2.0 2,897 3/4/2019
6.1.1 2,232 2/15/2019
6.1.0 1,089 2/1/2019
6.1.0-beta4 835 1/14/2019
6.1.0-beta3 859 1/10/2019
6.1.0-beta2 913 1/8/2019
6.1.0-beta 849 1/7/2019
6.0.0 3,017 11/6/2018
6.0.0-beta 912 10/30/2018
5.2.3 4,825 9/20/2018
5.2.2 11,981 7/4/2018
5.2.1 3,126 5/10/2018
5.2.0 1,797 4/29/2018
5.1.0 1,866 3/20/2018
5.0.0 1,846 3/13/2018
5.0.0-alpha 1,511 3/12/2018
4.2.1 2,535 3/5/2018
4.2.0 2,198 3/1/2018
4.1.0 2,816 12/5/2017
4.1.0-alpha 1,643 10/27/2017
4.0.0 2,199 10/23/2017
3.2.0 2,530 10/14/2017
3.1.2 2,444 9/16/2017
3.1.0 3,104 12/15/2016
3.0.0 2,560 12/6/2016
3.0.0-beta 1,658 11/29/2016
3.0.0-alpha 1,894 11/23/2016
2.3.3 2,236 11/10/2016
2.3.1 2,546 10/29/2016
2.3.0 1,832 10/28/2016
2.2.0 2,811 2/1/2016
2.1.0 1,682 1/16/2016
2.0.0 2,239 1/15/2016
2.0.0-alpha 1,816 5/16/2015
1.0.1.20018 2,835 6/1/2014
1.0.0.33376 2,787 4/26/2014
0.5.3 2,338 2/3/2014
0.5.2 1,741 1/26/2014
0.5.0.1 3,264 1/12/2014
0.4.2-alpha 1,686 6/16/2013
0.4.1-alpha 1,615 6/15/2013
0.4.0-alpha 1,631 6/14/2013

Improved precision and recall rate. Additional fixes in finding exact time location of matched fingerprint. Design improvements in storage mechanisms. All users of v2.x are ecouraged to upgrade to 3.x