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There is a newer version of this package available.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
12.5.0 651 8/31/2025
12.4.0 385 8/25/2025
12.3.0 418 8/8/2025
12.2.0 676 7/22/2025
12.1.0 723 6/9/2025
12.0.0 445 5/1/2025
11.4.0 997 3/10/2025
11.3.0 6,694 3/3/2025
11.2.0 3,220 12/19/2024
11.1.0 830 10/29/2024
11.0.0 388 10/3/2024
10.7.0 1,201 8/8/2024
10.6.0 316 7/9/2024
10.4.0 395 6/5/2024
10.3.1 355 5/17/2024
10.3.0 203 5/16/2024
10.0.0 1,397 4/5/2024
9.5.0 308 3/27/2024
9.4.4 985 3/2/2024
9.4.2 456 2/27/2024
9.4.0 357 2/26/2024
9.4.0-beta1 155 2/23/2024
9.3.0 405 2/19/2024
9.2.0 428 2/6/2024
9.1.0 1,167 12/28/2023
9.0.0 1,107 11/30/2023
9.0.0-beta 610 11/22/2023
9.0.0-alpha 152 11/19/2023
8.33.0 506 12/28/2023
8.32.0 226 11/21/2023
8.30.0 1,164 10/25/2023
8.28.0 1,309 9/21/2023
8.27.2 685 9/18/2023
8.27.1 619 9/18/2023
8.27.0 533 9/14/2023
8.26.0 781 9/1/2023
8.25.0 844 8/28/2023
8.24.0 2,090 7/17/2023
8.23.0 3,912 5/15/2023
8.22.0 4,678 4/3/2023
8.21.0 3,691 1/22/2023
8.20.0 1,272 1/12/2023
8.19.0 2,999 12/12/2022
8.18.0 1,215 12/8/2022
8.17.0 1,242 11/30/2022
8.16.5 1,281 11/26/2022
8.16.3 1,183 11/22/2022
8.16.2 1,198 11/16/2022
8.16.1 1,282 11/14/2022
8.16.0 1,272 11/11/2022
8.15.0 2,746 9/20/2022
8.14.0 1,931 8/24/2022
8.13.0 7,234 8/16/2022
8.12.1-patch1 447 12/28/2023
8.12.0 4,492 6/6/2022
8.9.1 4,448 4/27/2022
8.9.0 1,423 4/27/2022
8.8.0 2,251 4/17/2022
8.7.0 2,620 4/6/2022
8.6.0 2,689 3/23/2022
8.5.1 1,986 2/23/2022
8.5.0 1,504 2/18/2022
8.4.0 1,538 2/8/2022
8.3.0 1,559 1/21/2022
8.2.0 1,735 1/6/2022
8.1.0 1,217 12/28/2021
8.0.0 3,626 12/22/2021
8.0.0-beta4 842 12/21/2021
8.0.0-beta3 924 12/8/2021
8.0.0-beta2 310 12/7/2021
8.0.0-beta 314 12/7/2021
8.0.0-alpha 314 12/6/2021
7.17.0 3,274 11/30/2021
7.16.0 2,353 11/26/2021
7.15.0 3,025 11/9/2021
7.14.0 1,309 11/9/2021
7.13.0 1,958 10/19/2021
7.12.0 1,380 10/13/2021
7.10.0 3,649 6/29/2021
7.9.9 2,962 5/10/2021
7.9.6 1,491 4/30/2021
7.9.4 1,415 4/27/2021
7.9.3 1,452 4/18/2021
7.9.0 24,720 4/5/2021
7.8.1 2,189 3/21/2021
7.8.0 1,323 3/19/2021
7.7.0 626 3/15/2021
7.5.5 2,166 1/25/2021
7.5.2 2,025 1/13/2021
7.4.24 3,104 11/30/2020
7.4.19 2,824 11/6/2020
7.4.13 5,292 8/25/2020
7.4.12 2,474 8/11/2020
7.4.11 1,517 8/4/2020
7.4.10 1,500 7/30/2020
7.4.7 3,183 7/22/2020
7.4.6 1,517 7/20/2020
7.4.1 3,812 6/25/2020
7.4.0 1,656 6/19/2020
7.3.3 3,377 5/12/2020
7.3.2 2,161 5/8/2020
7.3.1 1,545 5/4/2020
7.3.0 1,562 4/25/2020
7.2.0 2,724 3/31/2020
7.2.0-beta3 1,626 3/17/2020
7.2.0-beta2 1,178 3/12/2020
7.2.0-beta 1,333 2/27/2020
7.1.0 2,758 2/3/2020
7.1.0-beta4 1,243 12/11/2019
7.1.0-beta3 1,201 11/11/2019
7.1.0-beta2 631 11/5/2019
7.1.0-beta 1,247 10/23/2019
7.1.0-alpha 554 10/8/2019
7.0.0 4,991 7/1/2019
6.3.0 2,418 5/31/2019
6.2.2 4,533 5/1/2019
6.2.1 2,388 4/5/2019
6.2.1-beta4 655 3/27/2019
6.2.1-beta3 650 3/18/2019
6.2.1-beta2 659 3/17/2019
6.2.1-beta1 642 3/12/2019
6.2.0 2,730 3/4/2019
6.1.1 2,072 2/15/2019
6.1.0 1,000 2/1/2019
6.1.0-beta4 741 1/14/2019
6.1.0-beta3 757 1/10/2019
6.1.0-beta2 815 1/8/2019
6.1.0-beta 753 1/7/2019
6.0.0 2,879 11/6/2018
6.0.0-beta 815 10/30/2018
5.2.3 4,520 9/20/2018
5.2.2 11,476 7/4/2018
5.2.1 2,893 5/10/2018
5.2.0 1,614 4/29/2018
5.1.0 1,669 3/20/2018
5.0.0 1,660 3/13/2018
5.0.0-alpha 1,323 3/12/2018
4.2.1 2,291 3/5/2018
4.2.0 1,987 3/1/2018
4.1.0 2,546 12/5/2017
4.1.0-alpha 1,430 10/27/2017
4.0.0 1,988 10/23/2017
3.2.0 2,250 10/14/2017
3.1.2 2,226 9/16/2017
3.1.0 2,867 12/15/2016
3.0.0 2,324 12/6/2016
3.0.0-beta 1,464 11/29/2016
3.0.0-alpha 1,648 11/23/2016
2.3.3 2,045 11/10/2016
2.3.1 2,277 10/29/2016
2.3.0 1,653 10/28/2016
2.2.0 2,574 2/1/2016
2.1.0 1,530 1/16/2016
2.0.0 2,019 1/15/2016
2.0.0-alpha 1,612 5/16/2015
1.0.1.20018 2,610 6/1/2014
1.0.0.33376 2,583 4/26/2014
0.5.3 2,138 2/3/2014
0.5.2 1,588 1/26/2014
0.5.0.1 2,945 1/12/2014
0.4.2-alpha 1,534 6/16/2013
0.4.1-alpha 1,461 6/15/2013
0.4.0-alpha 1,485 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