OCR 工具 Azure OCR 与 Google OCR(OCR 功能比较) Kannapat Udonpant 已更新:七月 2, 2025 Download IronOCR NuGet 下载 DLL 下载 Windows 安装程序 Start Free Trial Copy for LLMs Copy for LLMs Copy page as Markdown for LLMs Open in ChatGPT Ask ChatGPT about this page Open in Gemini Ask Gemini about this page Open in Grok Ask Grok about this page Open in Perplexity Ask Perplexity about this page Share Share on Facebook Share on X (Twitter) Share on LinkedIn Copy URL Email article In today's digital landscape, Optical Character Recognition (OCR) technology has become indispensable for businesses seeking efficient text extraction from images, PDFs, and other documents. Among the plethora of OCR solutions capabilities available, Microsoft Azure OCR, Google OCR, and IronOCR stand out as leading contenders, each offering unique features and capabilities. In this article, we discuss these OCR services, their features, and which one to choose. 1. Introduction to OCR Services An OCR service is a cloud-based platform that leverages advanced machine-learning algorithms to extract text from images and documents. Azure OCR, Google OCR, and IronOCR are widely used OCR services, each with its strengths and applications. 2. Azure OCR The Azure OCR tool, as part of the Microsoft Azure Cognitive Services suite, offers a reliable and scalable solution for text recognition tasks. It supports a wide range of languages and document formats, making it suitable for diverse use cases. Microsoft Azure OCR leverages deep learning models to achieve high accuracy in text extraction, enabling businesses to streamline document processing workflows efficiently. Azure is more like a computer vision service. 2.1 Key Features of Azure OCR Language Support: Microsoft Azure OCR supports over 70 languages, including complex scripts such as Arabic and Chinese. Document Formats: It can process various document formats, including images, PDFs, and scanned documents. Scalability: Azure OCR scales seamlessly to handle large volumes of text extraction requests, making it suitable for enterprise-level applications. 2.2 Code Example (C#) using Microsoft.Azure.CognitiveServices.Vision.ComputerVision; using Microsoft.Azure.CognitiveServices.Vision.ComputerVision.Models; using System; using System.Threading.Tasks; class Program { static async Task Main(string[] args) { // Create an instance of the ComputerVisionClient ComputerVisionClient client = new ComputerVisionClient(new ApiKeyServiceClientCredentials("YOUR_API_KEY")) { Endpoint = "https://YOUR_REGION.api.cognitive.microsoft.com/" }; // Specify the image URL string imageUrl = "https://example.com/image.jpg"; // Perform OCR on the image OcrResult result = await client.RecognizePrintedTextAsync(true, imageUrl); // Display the extracted text foreach (var region in result.Regions) { foreach (var line in region.Lines) { foreach (var word in line.Words) { Console.Write(word.Text + " "); } Console.WriteLine(); } } } } using Microsoft.Azure.CognitiveServices.Vision.ComputerVision; using Microsoft.Azure.CognitiveServices.Vision.ComputerVision.Models; using System; using System.Threading.Tasks; class Program { static async Task Main(string[] args) { // Create an instance of the ComputerVisionClient ComputerVisionClient client = new ComputerVisionClient(new ApiKeyServiceClientCredentials("YOUR_API_KEY")) { Endpoint = "https://YOUR_REGION.api.cognitive.microsoft.com/" }; // Specify the image URL string imageUrl = "https://example.com/image.jpg"; // Perform OCR on the image OcrResult result = await client.RecognizePrintedTextAsync(true, imageUrl); // Display the extracted text foreach (var region in result.Regions) { foreach (var line in region.Lines) { foreach (var word in line.Words) { Console.Write(word.Text + " "); } Console.WriteLine(); } } } } Imports Microsoft.Azure.CognitiveServices.Vision.ComputerVision Imports Microsoft.Azure.CognitiveServices.Vision.ComputerVision.Models Imports System Imports System.Threading.Tasks Friend Class Program Shared Async Function Main(ByVal args() As String) As Task ' Create an instance of the ComputerVisionClient Dim client As New ComputerVisionClient(New ApiKeyServiceClientCredentials("YOUR_API_KEY")) With {.Endpoint = "https://YOUR_REGION.api.cognitive.microsoft.com/"} ' Specify the image URL Dim imageUrl As String = "https://example.com/image.jpg" ' Perform OCR on the image Dim result As OcrResult = Await client.RecognizePrintedTextAsync(True, imageUrl) ' Display the extracted text For Each region In result.Regions For Each line In region.Lines For Each word In line.Words Console.Write(word.Text & " ") Next word Console.WriteLine() Next line Next region End Function End Class $vbLabelText $csharpLabel 2.2.1 Output 3. Google OCR Google OCR, as part of the Google Cloud service provider, offers a powerful platform for text recognition and document analysis. Leveraging Google's advanced machine learning algorithms, it provides accurate text extraction capabilities, with additional functionalities such as image labeling and object detection through cloud computing. Google cloud platform OCR is widely used in various industries for tasks such as invoice processing, form recognition, and content digitization. 3.1 Key Features of Google OCR Multilingual Support: Google OCR supports over 200 languages and can recognize text in multiple scripts, including Latin, Cyrillic, and Han characters. Image Analysis: It offers advanced image analysis capabilities, such as label detection, face detection, and landmark recognition. Integration with Google Cloud Services: Google OCR seamlessly integrates with other Google Cloud vision API services, enabling developers to build comprehensive solutions for document management and analysis. 3.2 Code Example (C#) using System; using Google.Cloud.Vision.V1; class Program { static void Main(string[] args) { // Configure the ImageAnnotator client with credentials var clientBuilder = new ImageAnnotatorClientBuilder { CredentialsPath = "path-to-credentials.json" }; var client = clientBuilder.Build(); // Load the image from file var image = Image.FromFile("path-to-your-image.jpg"); // Perform text detection on the image var response = client.DetectText(image); // Display the detected text foreach (var annotation in response) { Console.WriteLine(annotation.Description); } } } using System; using Google.Cloud.Vision.V1; class Program { static void Main(string[] args) { // Configure the ImageAnnotator client with credentials var clientBuilder = new ImageAnnotatorClientBuilder { CredentialsPath = "path-to-credentials.json" }; var client = clientBuilder.Build(); // Load the image from file var image = Image.FromFile("path-to-your-image.jpg"); // Perform text detection on the image var response = client.DetectText(image); // Display the detected text foreach (var annotation in response) { Console.WriteLine(annotation.Description); } } } Imports System Imports Google.Cloud.Vision.V1 Friend Class Program Shared Sub Main(ByVal args() As String) ' Configure the ImageAnnotator client with credentials Dim clientBuilder = New ImageAnnotatorClientBuilder With {.CredentialsPath = "path-to-credentials.json"} Dim client = clientBuilder.Build() ' Load the image from file Dim image As System.Drawing.Image = System.Drawing.Image.FromFile("path-to-your-image.jpg") ' Perform text detection on the image Dim response = client.DetectText(image) ' Display the detected text For Each annotation In response Console.WriteLine(annotation.Description) Next annotation End Sub End Class $vbLabelText $csharpLabel 3.2.1 Output 4. IronOCR IronOCR, developed by Iron Software, is a versatile OCR library for .NET applications that offers industry-leading OCR accuracy and performance. Unlike cloud-based OCR services, IronOCR provides on-premises text extraction capabilities, making it suitable for applications requiring data privacy and security. IronOCR excels in accuracy, especially in scenarios involving complex layouts and noisy images, making it the preferred choice for businesses seeking reliable OCR functionality. 4.1 Key Features of IronOCR High Accuracy: IronOCR delivers exceptional accuracy in text recognition, ensuring reliable results across diverse document types and languages. On-Premises OCR: It offers on-premises text extraction capabilities, enabling businesses to process sensitive documents locally without relying on external services. Versatile Language Support: IronOCR supports over 125 languages and provides comprehensive language packs for seamless multilingual text recognition. 4.2 Installing IronOCR IronOCR can be installed using the NuGet Package Manager Console. Just run the following command. Open Visual Studio and create a new project or open an existing one. In the toolbar, go to Tools and select NuGet Package Manager. Now select the Package Manager Console from the newly appeared list. Now the Console will appear, run the following command, and press enter. Install-Package IronOcr It will take a few moments to install IronOCR, but once it's completed we can move onto the coding example. 4.3 Code Example (C#) using IronOcr; using System; class Program { static void Main(string[] args) { // Specify the path to the image file string imagePath = "path-to-your-image.jpg"; // Instantiate the IronTesseract OCR engine var ocr = new IronTesseract { // Set the language for text recognition Language = OcrLanguage.English }; // Perform text recognition on the image var result = ocr.Read(imagePath); // Display the extracted text Console.WriteLine("Extracted Text:"); Console.WriteLine(result.Text); } } using IronOcr; using System; class Program { static void Main(string[] args) { // Specify the path to the image file string imagePath = "path-to-your-image.jpg"; // Instantiate the IronTesseract OCR engine var ocr = new IronTesseract { // Set the language for text recognition Language = OcrLanguage.English }; // Perform text recognition on the image var result = ocr.Read(imagePath); // Display the extracted text Console.WriteLine("Extracted Text:"); Console.WriteLine(result.Text); } } Imports IronOcr Imports System Friend Class Program Shared Sub Main(ByVal args() As String) ' Specify the path to the image file Dim imagePath As String = "path-to-your-image.jpg" ' Instantiate the IronTesseract OCR engine Dim ocr = New IronTesseract With {.Language = OcrLanguage.English} ' Perform text recognition on the image Dim result = ocr.Read(imagePath) ' Display the extracted text Console.WriteLine("Extracted Text:") Console.WriteLine(result.Text) End Sub End Class $vbLabelText $csharpLabel 4.3.1 Output 5. Comparative Assessment 5.1 Accuracy and Performance Microsoft Azure OCR and Google OCR provide high accuracy in text extraction, suitable for a wide range of applications. IronOCR excels in accuracy, especially in scenarios involving complex layouts and noisy images. 5.2 Ease of Integration Microsoft Azure OCR and Google Cloud solutions offer cloud-based OCR services, providing easy integration with cloud applications and services. IronOCR provides on-premises OCR functionality and seamless integration with .NET applications, with intuitive APIs and extensive documentation. 5.3 Scalability Microsoft Azure OCR and Google OCR scale seamlessly to handle large volumes of text extraction requests, making them suitable for enterprise-level applications. IronOCR's scalability is contingent upon the application's infrastructure, as it operates on-premises. 6. Conclusion Of all the OCR tools, Azure OCR, Google Vision API, and IronOCR are known as powerful OCR solutions that offer high accuracy and performance for text extraction tasks. While Azure OCR and Google OCR provide cloud-based OCR services with scalable infrastructure and extensive language support, IronOCR stands out as the most accurate solution. IronOCR stands out, particularly for applications requiring on-premises text extraction and superior accuracy. By leveraging IronOCR, businesses can streamline document processing workflows, enhance data extraction accuracy, and unlock valuable insights from scanned documents and images, making it the preferred choice. To learn more about IronOCR and its services, kindly visit the IronOCR Documentation page to get you started with transforming how you handle images. Kannapat Udonpant 立即与工程团队聊天 软件工程师 在成为软件工程师之前,Kannapat 在日本北海道大学完成了环境资源博士学位。在攻读学位期间,Kannapat 还成为了车辆机器人实验室的成员,隶属于生物生产工程系。2022 年,他利用自己的 C# 技能加入 Iron Software 的工程团队,专注于 IronPDF。Kannapat 珍视他的工作,因为他可以直接从编写大多数 IronPDF 代码的开发者那里学习。除了同行学习外,Kannapat 还喜欢在 Iron Software 工作的社交方面。不撰写代码或文档时,Kannapat 通常可以在他的 PS5 上玩游戏或重温《最后生还者》。 相关文章 已更新六月 22, 2025 Power Automate OCR(开发者教程) 光学字符识别技术在文档数字化、自动化PDF数据提取和录入、发票处理和使扫描的 PDF 可搜索的应用中得到了应用。 阅读更多 已更新六月 22, 2025 Easyocr 与 Tesseract(OCR 功能比较) 流行的 OCR 工具和库,如 EasyOCR、Tesseract OCR、Keras-OCR 和 IronOCR,通常用于将此功能集成到现代应用程序中。 阅读更多 已更新六月 22, 2025 如何将图片转化为文本 在当前的数字时代,将基于图像的内容转化为易于阅读的可编辑、可搜索文本 阅读更多 Windows OCR 引擎与 Tesseract:详细比较开发者的最佳免费 OCR 软件
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