RapidOcrNet 1.0.0

dotnet add package RapidOcrNet --version 1.0.0
                    
NuGet\Install-Package RapidOcrNet -Version 1.0.0
                    
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="RapidOcrNet" Version="1.0.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="RapidOcrNet" Version="1.0.0" />
                    
Directory.Packages.props
<PackageReference Include="RapidOcrNet" />
                    
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 RapidOcrNet --version 1.0.0
                    
#r "nuget: RapidOcrNet, 1.0.0"
                    
#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 RapidOcrNet@1.0.0
                    
#: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=RapidOcrNet&version=1.0.0
                    
Install as a Cake Addin
#tool nuget:?package=RapidOcrNet&version=1.0.0
                    
Install as a Cake Tool

RapidOcrNet

Cross-platform OCR processing library using PaddleOCR ONNX models, and based on original code from RapidAI's RapidOCR.

The code was optimised to remove dependencies on System.Drawing and OpenCV. The image processing is now done only using SkiaSharp and PContourNet.

The project now uses PP-OCR v5 models, but v4 and v3 models are also supported (see here).

All ONNX models and files and can be downloaded from: https://github.com/RapidAI/RapidOCR/blob/main/python/rapidocr/default_models.yaml You will need 4 different files for the code to work. Example below for PP-OCR v5 with latin language:

  • Detection: ch_PP-OCRv5_mobile_det.onnx
  • Classification: ch_ppocr_mobile_v2.0_cls_infer.onnx
  • Recognition: latin_PP-OCRv5_rec_mobile_infer.onnx
  • Model dictionary: ppocrv5_latin_dict.txt

Usage

string targetImg = "image.png";

using (var ocrEngin = new RapidOcr())
{
	ocrEngin.InitModels();
	using (SKBitmap originSrc = SKBitmap.Decode(targetImg))
	{
		OcrResult ocrResult = ocrEngin.Detect(originSrc, RapidOcrOptions.Default);
		Console.WriteLine(ocrResult.ToString());
		Console.WriteLine(ocrResult.StrRes);
		Console.WriteLine();

		// Draw bounding boxes
		foreach (var block in ocrResult.TextBlocks)
		{
			var points = block.BoxPoints;
			using (var canvas = new SKCanvas(originSrc))
			using (var paint = new SKPaint() { Color = SKColors.Red })
			{
				canvas.DrawLine(points[0], points[1], paint);
				canvas.DrawLine(points[1], points[2], paint);
				canvas.DrawLine(points[2], points[3], paint);
				canvas.DrawLine(points[3], points[0], paint);
			}
		}

		using (var fs = new FileStream(Path.ChangeExtension(targetImg, "_ocr.png"), FileMode.Create))
		{
			originSrc.Encode(fs, SKEncodedImageFormat.Png, 100);
		}
	}
}

Notice

Based on source code originally developed in the RapidOCR project (Apache-2.0 license).

Uses parts of source code originally developed in the PdfPig project (Apache-2.0 license).

The dependency on OpenCV was removed thanks to the PContour library and its C# port.

The models made available are from the PaddleOCR project (Apache-2.0 license) and were downloaded from https://github.com/RapidAI/RapidOCR/blob/main/python/rapidocr/default_models.yaml

Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

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Version Downloads Last Updated
1.0.0 291 11/22/2025