Open-source dotnet binding for OpenAI Whisper made possible by whisper.cpp.

To install Whisper.net, run the following command in the Package Manager Console:

Install-Package Whisper.net
Install-Package Whisper.net.Runtime

or simply add a package reference in your csproj:

<PackageReference Include="Whisper.net" Version="1.5.0" />
<PackageReference Include="Whisper.net.Runtime" Version="1.5.0" />

We also have a custom-built GPT inside chatgpt, which can help you with information based on this code, previous issues and releases available here.

Please, make sure you try to ask it before publishing a new question here, as it can be a lot faster.

The runtime package, Whisper.net.Runtime, contains the native whisper.cpp library and it is required in order to run Whisper.net.

Whisper.net.Runtime.CoreML contains the native whisper.cpp library with Apple CoreML support enabled. Using this on Apple hardware (macOS, iOS, etc.) can net performance improvements over the core runtimes. To use it, reference the Whisper.net.Runtime.CoreML nuget,

<PackageReference Include="Whisper.net" Version="1.5.0" />
<PackageReference Include="Whisper.net.Runtime.CoreML" Version="1.5.0" />

Note that only the CoreML built libraries are available in this package and does not contain libraries for other platforms (Linux, Windows, etc). If you are creating a cross-platform application you can use conditional target frameworks to install the correct library package for each version.

Using the ggml whisper models with CoreML requires an additional mlmodelc file to be placed alongside your whisper model.

You can download and extract these using WhisperGgmlDownloader. Check the CoreML example.

You can also generate these via the whisper.cpp scripts. As whisper.cpp uses filepaths to detect this folder, you must load your whisper model with a file path.

If successful, the whisper output logs will announce:

whisper_init_state: loading Core ML model from...

If not, it will announce an error and use the original core library instead.

Depending on your GPU, you can use either Whisper.net.Runtime.Cublas or Whisper.net.Runtime.Clblast. For now, they are only available on Windows x64 and Linux x64 (only Cublas).

Check the Cublas and Clblast examples.

Blazor is supported with both InteractivityServer and InteractivityWebAssembly. You can check the Blazor example here.

Each version of Whisper.net is tied to a specific version of Whisper.cpp. The version of Whisper.net is the same as the version of Whisper it is based on. For example, Whisper.net 1.2.0 is based on Whisper.cpp 1.2.0.

However, the patch version is not tied to Whisper.cpp. For example, Whisper.net 1.2.1 is based on Whisper.cpp 1.2.0 and Whisper.net 1.5.0 is based on Whisper.cpp 1.5.1.

Whisper.net uses Ggml models to perform speech recognition and translation.

You can find more about Ggml models here

Also, for easier integration Whisper.net provides a Downloader which is using https://huggingface.co.

var modelName = "ggml-base.bin";
if (!File.Exists(modelName))
{
    using var modelStream = await WhisperGgmlDownloader.GetGgmlModelAsync(GgmlType.Base);
    using var fileWriter = File.OpenWrite(modelName);
    await modelStream.CopyToAsync(fileWriter);
}

using var whisperFactory = WhisperFactory.FromPath("ggml-base.bin");

using var processor = whisperFactory.CreateBuilder()
    .WithLanguage("auto")
    .Build();

using var fileStream = File.OpenRead(wavFileName);

await foreach(var result in processor.ProcessAsync(fileStream))
{
    Console.WriteLine($"{result.Start}->{result.End}: {result.Text}");
}

Check more examples the examples folder.

You can find the documentation and code samples here: https://github.com/sandrohanea/whisper.net

The build scripts are a combination of PowerShell scripts and a Makefile. You can read each of them for the underlying cmake commands being used, or run them directly from the scripts.

make android

• Before running, create an environment variable for NDK_PATH with the path to your Android NDK. For example,

NDK_PATH=/Users/UserName/Library/Developer/Xamarin/android-sdk-macosx/ndk-bundle

make apple

• Compiling the Apple libraries requires a Mac with Xcode installed.

make apple_coreml

• Compiling the Apple libraries requires a Mac with Xcode installed.

make linux

• Import the Powershell module Import-Module ./windows-scripts.ps1
• Run BuildWindowsAll to build all Windows libraries

MIT License

Whisper.net is supported on the following targets and platforms:

• Android
• iOS
• Linux ARM
• Linux ARM64
• Linux x64
• MacCatalyst
• macOS ARM64 (Apple Silicon)
• macOS x64
• tvOS
• WebAssembly
• Windows ARM
• Windows ARM64
• Windows x64
• Windows x86