Tesseract vs Microsoft OCR：对比

Key features of Tesseract OCR

• Open-Source: Tesseract is freely available for use, modification, and distribution by anybody under the terms of the Apache License 2.0. Its open-source design has greatly aided in its broad adoption and ongoing enhancement, thanks to community contributions.
• Language Support: Tesseract is capable of recognizing more than 100 different scripts and character sets in addition to languages. It is appropriate for a wide range of OCR applications in various languages and geographical areas due to its multilingual capability.
• Accuracy: Tesseract is well known for its excellent text recognition accuracy, particularly when set up correctly and trained with pertinent data. It can reliably extract text from photos with a variety of issues, including distorted angles, low quality, and inadequate illumination.
• Options: Tesseract provides a great deal of configuration and customization options. For particular use cases, users can adjust several parameters to maximize OCR performance. Furthermore, Tesseract may be coupled with a variety of platforms and computer languages, such as Java, C++, Python, and C#, enabling developers to take advantage of its capabilities in a broad range of applications.
• Tesseract undergoes constant development and maintenance, with new features added regularly to boost its accuracy, performance, and language support. Tesseract's open-source community supports its continuous development, guaranteeing that it will always be a state-of-the-art OCR tool.

Install Tesseract OCR For .NET

Installing Tesseract OCR on your computer is the first step. The official Tesseract GitHub repository is where you can get the Tesseract installer: https://github.com/tesseract-ocr/tesseract.

To install Tesseract OCR on your computer, follow the setup instructions that are specific to your operating system (Windows, macOS, or Linux). After Tesseract OCR is installed, use Visual Studio's NuGet Package Manager to add the Tesseract.NET wrapper to your C# project.

Navigate to Tools -> NuGet Package Manager -> Manage NuGet Packages for Solution after opening your C# project in Visual Studio. You should be able to locate the package named "Tesseract" or "Tesseract.NET" by searching for "Tesseract" in the NuGet Package Manager. To include the package in your project, choose it and click Install.

Tesseract OCR using C#

Follow these steps to use Tesseract in your C# project:

using Tesseract;

class Program
{
    static void Main(string[] args)
    {
        // Initialize the Tesseract engine with the path to your Tesseract installation and the desired language(s)
        using (var engine = new TesseractEngine(@"path_to_tesseract_folder", "eng", EngineMode.Default))
        {
            // Load the image from which to extract text
            using (var img = Pix.LoadFromFile("image.png"))
            {
                // Process the image and extract the text
                using (var page = engine.Process(img))
                {
                    // Get the extracted text
                    var text = page.GetText();
                    Console.WriteLine(text); // Print the extracted text
                }
            }
        }
    }
}

using Tesseract;

class Program
{
    static void Main(string[] args)
    {
        // Initialize the Tesseract engine with the path to your Tesseract installation and the desired language(s)
        using (var engine = new TesseractEngine(@"path_to_tesseract_folder", "eng", EngineMode.Default))
        {
            // Load the image from which to extract text
            using (var img = Pix.LoadFromFile("image.png"))
            {
                // Process the image and extract the text
                using (var page = engine.Process(img))
                {
                    // Get the extracted text
                    var text = page.GetText();
                    Console.WriteLine(text); // Print the extracted text
                }
            }
        }
    }
}

Imports Tesseract

Friend Class Program
	Shared Sub Main(ByVal args() As String)
		' Initialize the Tesseract engine with the path to your Tesseract installation and the desired language(s)
		Using engine = New TesseractEngine("path_to_tesseract_folder", "eng", EngineMode.Default)
			' Load the image from which to extract text
			Using img = Pix.LoadFromFile("image.png")
				' Process the image and extract the text
				Using page = engine.Process(img)
					' Get the extracted text
					Dim text = page.GetText()
					Console.WriteLine(text) ' Print the extracted text
				End Using
			End Using
		End Using
	End Sub
End Class

To accomplish this, provide the location of your Tesseract installation directory and the language or languages you wish to utilize in the TesseractEngine constructor options. Replace "eng" with the language code for the language or languages you wish to use (e.g., "eng" for English) and "path_to_tesseract_folder" with the actual path to your Tesseract installation directory.

After setting up Tesseract in your C# project, you can now utilize its OCR features to extract text from pictures. The TesseractEngine instance can be used to process a picture once it has been loaded using the Pix class to extract text or run OCR on an image file, replacing "image.png" with the path of the image file.

Key Features

• Integration with Azure Cognitive Services: Microsoft OCR functions in unison with Azure Cognitive Services, a collection of AI-powered Microsoft Azure APIs and services. With this connection, developers can easily integrate Microsoft OCR functions into applications and workflows by using REST APIs, SDKs, and client libraries.
• High Accuracy and Performance: Because of its sophisticated machine learning models that have been trained on enormous datasets, Microsoft OCR provides text recognition with high accuracy and performance. With its ability to precisely extract text from photographs with intricate layouts and various typefaces, it is appropriate for a broad spectrum of OCR applications.
• Scalability and Reliability: Microsoft OCR, a component of Azure Cognitive Services, provides scalability and dependability, making it appropriate for applications with different processing requirements. It can effectively manage high document quantities and multiple requests at once, guaranteeing uptime and stable performance.
• Multilingual Support: Microsoft OCR, like other OCR programs, allows for multilingual recognition, allowing users to extract text from photos in a variety of languages and character sets. It is appropriate for worldwide applications with a variety of language needs thanks to its multilingual support.

You must combine Microsoft OCR with Azure Cognitive Services—more specifically, the Computer Vision API—to use it in a C# project. Here is how you can begin:

Create an Azure Account

You must create an Azure account if you don't already have one. You can create a free Azure account and have access to several services during the trial time.

Configure Azure Cognitive Services

The Computer Vision service in Azure Cognitive Services must be configured when you have an Azure account.

• Open the Azure Portal.
• Look up "Computer Vision" by clicking on "Create a resource".
• Click "Create" after selecting the Computer Vision service.
• To configure the service, choose the subscription and price tier by following the prompts.
• After the service is built, go to the resource and save the subscription key and endpoint URL; you'll need them to verify the authenticity of your queries.

Install the Azure Cognitive Services SDK

Utilizing Microsoft Azure is possible. To communicate with the Computer Vision API in your C# project, use the CognitiveServices.Vision.ComputerVision NuGet package.

Navigate to Tools -> NuGet Package Manager then Manage NuGet Packages for Solution after opening your C# project in Visual Studio.

Install the package by doing a search for "Microsoft.Azure.CognitiveServices.Vision.ComputerVision".

Key Features of IronOCR

• Simple Integration: You may incorporate IronOCR into your C# or VB.NET projects with ease by utilizing NuGet packages or by accessing the library directly in your project.
• Versatile OCR: IronOCR can recognize text from a wide range of sources, such as screenshots, scanned documents, PDF files, and photographs. It is capable of handling several image types, including BMP, TIFF, PNG, and JPEG.
• Accurate Text Recognition: IronOCR achieves excellent text recognition accuracy by utilizing sophisticated OCR algorithms. Text in photographs with different resolutions, fonts, and backgrounds may be reliably extracted using it.
• Support for Multiple Languages: IronOCR is appropriate for multilingual applications because it can recognize multiple languages. It enables customized language training and comes with built-in language packs for popular languages.
• PDF Text Extraction: Scanned and image-based PDFs can both have their text extracted by IronOCR. When removing text from PDF documents, it can maintain the content's original formatting and layout.
• Image Preprocessing: Before OCR processing, IronOCR can improve the quality of incoming images through image preprocessing features. This covers tasks like deskewing, contrast modification, and noise reduction.

IronOCR Using C#

Here is a basic C# example using IronOCR:

// Create an instance of IronTesseract
var Ocr = new IronTesseract(); // nothing to configure
// Set the language and Tesseract version to be used for OCR
Ocr.Language = OcrLanguage.EnglishBest;
Ocr.Configuration.TesseractVersion = TesseractVersion.Tesseract5;

// Prepare the image input and perform OCR
using (var Input = new OcrInput())
{
    // Add the image for OCR processing
    Input.AddImage(@"Demo.png");
    // Read the text from the image
    var Result = Ocr.Read(Input);
    // Print the recognized text
    Console.WriteLine(Result.Text);
    Console.ReadKey(); // Wait for user input before closing
}

// Create an instance of IronTesseract
var Ocr = new IronTesseract(); // nothing to configure
// Set the language and Tesseract version to be used for OCR
Ocr.Language = OcrLanguage.EnglishBest;
Ocr.Configuration.TesseractVersion = TesseractVersion.Tesseract5;

// Prepare the image input and perform OCR
using (var Input = new OcrInput())
{
    // Add the image for OCR processing
    Input.AddImage(@"Demo.png");
    // Read the text from the image
    var Result = Ocr.Read(Input);
    // Print the recognized text
    Console.WriteLine(Result.Text);
    Console.ReadKey(); // Wait for user input before closing
}

' Create an instance of IronTesseract
Dim Ocr = New IronTesseract() ' nothing to configure
' Set the language and Tesseract version to be used for OCR
Ocr.Language = OcrLanguage.EnglishBest
Ocr.Configuration.TesseractVersion = TesseractVersion.Tesseract5

' Prepare the image input and perform OCR
Using Input = New OcrInput()
	' Add the image for OCR processing
	Input.AddImage("Demo.png")
	' Read the text from the image
	Dim Result = Ocr.Read(Input)
	' Print the recognized text
	Console.WriteLine(Result.Text)
	Console.ReadKey() ' Wait for user input before closing
End Using

We can extract data from the image with the highest OCR accuracy by using the code mentioned above. Additionally, IronOCR facilitates the conversion of text extracted from documents into editable file formats, including Word. The scanned document can also be turned into a searchable PDF by us. With IronOCR, the outcome can be stored in various OCR output formats. To learn more about the code refer here.

Source Image:

Result: