SoundFingerprinting 3.0.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package SoundFingerprinting --version 3.0.0
                    
NuGet\Install-Package SoundFingerprinting -Version 3.0.0
                    
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" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="SoundFingerprinting" Version="3.0.0" />
                    
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
                    
#r "nuget: SoundFingerprinting, 3.0.0"
                    
#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
                    
#: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
                    
Install as a Cake Addin
#tool nuget:?package=SoundFingerprinting&version=3.0.0
                    
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
12.5.0 501 8/31/2025
12.4.0 377 8/25/2025
12.3.0 410 8/8/2025
12.2.0 663 7/22/2025
12.1.0 714 6/9/2025
12.0.0 436 5/1/2025
11.4.0 983 3/10/2025
11.3.0 5,634 3/3/2025
11.2.0 3,120 12/19/2024
11.1.0 824 10/29/2024
11.0.0 380 10/3/2024
10.7.0 1,186 8/8/2024
10.6.0 309 7/9/2024
10.4.0 387 6/5/2024
10.3.1 348 5/17/2024
10.3.0 195 5/16/2024
10.0.0 1,353 4/5/2024
9.5.0 300 3/27/2024
9.4.4 977 3/2/2024
9.4.2 450 2/27/2024
9.4.0 349 2/26/2024
9.4.0-beta1 155 2/23/2024
9.3.0 398 2/19/2024
9.2.0 421 2/6/2024
9.1.0 1,160 12/28/2023
9.0.0 1,096 11/30/2023
9.0.0-beta 610 11/22/2023
9.0.0-alpha 152 11/19/2023
8.33.0 497 12/28/2023
8.32.0 216 11/21/2023
8.30.0 1,164 10/25/2023
8.28.0 1,307 9/21/2023
8.27.2 685 9/18/2023
8.27.1 618 9/18/2023
8.27.0 531 9/14/2023
8.26.0 778 9/1/2023
8.25.0 841 8/28/2023
8.24.0 2,084 7/17/2023
8.23.0 3,907 5/15/2023
8.22.0 4,659 4/3/2023
8.21.0 3,686 1/22/2023
8.20.0 1,265 1/12/2023
8.19.0 2,994 12/12/2022
8.18.0 1,210 12/8/2022
8.17.0 1,237 11/30/2022
8.16.5 1,277 11/26/2022
8.16.3 1,176 11/22/2022
8.16.2 1,194 11/16/2022
8.16.1 1,276 11/14/2022
8.16.0 1,267 11/11/2022
8.15.0 2,741 9/20/2022
8.14.0 1,926 8/24/2022
8.13.0 7,227 8/16/2022
8.12.1-patch1 446 12/28/2023
8.12.0 4,478 6/6/2022
8.9.1 4,441 4/27/2022
8.9.0 1,419 4/27/2022
8.8.0 2,245 4/17/2022
8.7.0 2,613 4/6/2022
8.6.0 2,685 3/23/2022
8.5.1 1,981 2/23/2022
8.5.0 1,497 2/18/2022
8.4.0 1,534 2/8/2022
8.3.0 1,553 1/21/2022
8.2.0 1,728 1/6/2022
8.1.0 1,212 12/28/2021
8.0.0 3,612 12/22/2021
8.0.0-beta4 836 12/21/2021
8.0.0-beta3 918 12/8/2021
8.0.0-beta2 306 12/7/2021
8.0.0-beta 309 12/7/2021
8.0.0-alpha 308 12/6/2021
7.17.0 3,267 11/30/2021
7.16.0 2,348 11/26/2021
7.15.0 3,020 11/9/2021
7.14.0 1,304 11/9/2021
7.13.0 1,954 10/19/2021
7.12.0 1,376 10/13/2021
7.10.0 3,645 6/29/2021
7.9.9 2,957 5/10/2021
7.9.6 1,485 4/30/2021
7.9.4 1,411 4/27/2021
7.9.3 1,448 4/18/2021
7.9.0 24,713 4/5/2021
7.8.1 2,185 3/21/2021
7.8.0 1,317 3/19/2021
7.7.0 622 3/15/2021
7.5.5 2,161 1/25/2021
7.5.2 2,019 1/13/2021
7.4.24 3,100 11/30/2020
7.4.19 2,815 11/6/2020
7.4.13 5,287 8/25/2020
7.4.12 2,469 8/11/2020
7.4.11 1,512 8/4/2020
7.4.10 1,496 7/30/2020
7.4.7 3,177 7/22/2020
7.4.6 1,510 7/20/2020
7.4.1 3,806 6/25/2020
7.4.0 1,651 6/19/2020
7.3.3 3,373 5/12/2020
7.3.2 2,156 5/8/2020
7.3.1 1,537 5/4/2020
7.3.0 1,555 4/25/2020
7.2.0 2,719 3/31/2020
7.2.0-beta3 1,622 3/17/2020
7.2.0-beta2 1,174 3/12/2020
7.2.0-beta 1,327 2/27/2020
7.1.0 2,753 2/3/2020
7.1.0-beta4 1,238 12/11/2019
7.1.0-beta3 1,197 11/11/2019
7.1.0-beta2 629 11/5/2019
7.1.0-beta 1,245 10/23/2019
7.1.0-alpha 550 10/8/2019
7.0.0 4,983 7/1/2019
6.3.0 2,415 5/31/2019
6.2.2 4,531 5/1/2019
6.2.1 2,384 4/5/2019
6.2.1-beta4 653 3/27/2019
6.2.1-beta3 647 3/18/2019
6.2.1-beta2 656 3/17/2019
6.2.1-beta1 638 3/12/2019
6.2.0 2,728 3/4/2019
6.1.1 2,069 2/15/2019
6.1.0 998 2/1/2019
6.1.0-beta4 737 1/14/2019
6.1.0-beta3 753 1/10/2019
6.1.0-beta2 812 1/8/2019
6.1.0-beta 750 1/7/2019
6.0.0 2,874 11/6/2018
6.0.0-beta 812 10/30/2018
5.2.3 4,518 9/20/2018
5.2.2 11,472 7/4/2018
5.2.1 2,887 5/10/2018
5.2.0 1,608 4/29/2018
5.1.0 1,663 3/20/2018
5.0.0 1,649 3/13/2018
5.0.0-alpha 1,317 3/12/2018
4.2.1 2,284 3/5/2018
4.2.0 1,983 3/1/2018
4.1.0 2,538 12/5/2017
4.1.0-alpha 1,424 10/27/2017
4.0.0 1,981 10/23/2017
3.2.0 2,242 10/14/2017
3.1.2 2,220 9/16/2017
3.1.0 2,859 12/15/2016
3.0.0 2,315 12/6/2016
3.0.0-beta 1,460 11/29/2016
3.0.0-alpha 1,639 11/23/2016
2.3.3 2,039 11/10/2016
2.3.1 2,269 10/29/2016
2.3.0 1,647 10/28/2016
2.2.0 2,562 2/1/2016
2.1.0 1,524 1/16/2016
2.0.0 2,012 1/15/2016
2.0.0-alpha 1,604 5/16/2015
1.0.1.20018 2,578 6/1/2014
1.0.0.33376 2,576 4/26/2014
0.5.3 2,128 2/3/2014
0.5.2 1,582 1/26/2014
0.5.0.1 2,939 1/12/2014
0.4.2-alpha 1,530 6/16/2013
0.4.1-alpha 1,455 6/15/2013
0.4.0-alpha 1,480 6/14/2013

Version 3.0.0 comes with a long list of improvements. The framework provides better precision / recall / processing speed when creating and querying the datasource for the matches. Result entries do contain Coverage, Confidence, TrackStartsAt properties, providing users with information about the resulting match. All users of 2.x are encouraged to migrate to 3.0.x, and re-insert all the fingerprints in the datasource since the signature of the fingerprints has changed. Check Solr datasource for a fast persistent storage for fingerprints https://github.com/AddictedCS/soundfingerprinting.solr