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Blazor framework is built by the ASP.NET team which is used to develop interactive UI web applications using HTML and C# instead of JavaScript. Blazor runs C# code directly in the web browser using WebAssembly. This makes it easy to build and develop components with logic and reuse them over and over again. It is a popular framework among developers for building UI in C#.
In this article, we are going to create a Blazor Server app for reading text from image files using Optical Character Recognition (OCR) with IronOCR.
Open Visual Studio and follow the steps to create a Blazor Server App:
Click Create a New Project and then Select "Blazor Server App" from the listed project templates.
Create a new Blazor Server App in Visual Studio
Next, name your project appropriately. Here, we are naming it "BlazorReadText
".
Configure the Blazor project
Finally, set the additional information and click Create.
Selecting Long Term Support .NET Framework and additional information for the project
The Blazor Server App is now created. Now we need to install the necessary packages before extracting Image data using IronOCR.
BlazorInputFile
The first step is to install the BlazorInputFile
package. It is a component for Blazor applications and is used to upload single or multiple files to the server. This component will be used to upload an image file on the Razor page in the Blazor application. Open Manage NuGet Packages for Solutions and browse for BlazorInputFile
.
Install BlazorInputFile
package
Select the checkbox for the project and click Install.
Now, open _Host.cshtml
file in the Pages folder and add the following JavaScript file:
<script src="_content/BlazorInputFile/inputfile.js"></script>
<script src="_content/BlazorInputFile/inputfile.js"></script>
Navigate to _Host.cshtml
file from Solution Explorer
Finally, add the following code in the _Imports.razor
file.
@using BlazorInputFile
@using BlazorInputFile
'INSTANT VB TODO TASK: The following line uses invalid syntax:
'@using BlazorInputFile
IronOCR is a C# library to scan and read Images in different formats. It provides the facility to work with images in over 127+ global languages.
To install IronOCR, open the NuGet Package Manager and browse for IronOCR. Select the project and click on the Install button.
Install IronOcr package in NuGet Package Manager
Add the IronOCR namespace in _Imports.razor
file:
@using IronOCR
@using IronOCR
'INSTANT VB TODO TASK: The following line uses invalid syntax:
'@using IronOCR
A component represents a user interface with business logic to exhibit dynamic behavior. Blazor uses Razor Components to build its apps. These components can be nested, reused, and shared among projects. By default, the Counter
and FetchData
pages are provided in the application, removing those for simplicity.
Right-click on the pages folder under the BlazorReadText
application, and then select Add > Razor Component. If you do not find Razor Component, then click on New Item, and from C# components select "Razor Component". Name the component "OCR.razor" and click Add.
Add new Razor Component
A best practice is to separate the code for this razor page as in another class. Again, right-click on the pages folder and select Add > Class. Name the class the same as the page name and click Add. Blazor is a smart framework, and it tags this class with the page that shares the same name.
Create an OCR.razor.cs
code file for OCR.razor
Razor Component
Now, let's move to the actual code implementation which will read image data using IronOCR.
To recognize text in an image, upload the image, convert it to binary data and then apply the IronOCR method to extract text.
Open the OCR.razor.cs
class and write the following example source code:
using BlazorInputFile;
using Microsoft.AspNetCore.Components;
using IronOcr;
namespace BlazorReadText.Pages
{
public class OCRModel : ComponentBase
{
protected string imageText;
protected string imagePreview;
byte [] imageFileBytes;
const string DefaultStatus = "Maximum size allowed for the image is 4 MB";
protected string status = DefaultStatus;
const int MaxFileSize = 4 * 1024 * 1024; // 4MB
protected async Task ViewImage(IFileListEntry [] files)
{
var file = files.FirstOrDefault();
if (file == null)
{
return;
}
else if (file.Size > MaxFileSize)
{
status = $"The file size is {file.Size} bytes, this is more than the allowed limit of {MaxFileSize} bytes.";
return;
}
else if (!file.Type.Contains("image"))
{
status = "Please uplaod a valid image file";
return;
}
else
{
var memoryStream = new MemoryStream();
await file.Data.CopyToAsync(memoryStream);
imageFileBytes = memoryStream.ToArray();
string base64String = Convert.ToBase64String(imageFileBytes, 0, imageFileBytes.Length);
imagePreview = string.Concat("data:image/png;base64,", base64String);
memoryStream.Flush();
status = DefaultStatus;
}
}
protected private async Task GetText()
{
if (imageFileBytes != null)
{
IronTesseract ocr = new IronTesseract();
using (OcrInput input = new OcrInput(imageFileBytes))
{
OcrResult result = ocr.Read(input);
imageText = result.Text;
}
}
}
}
}
using BlazorInputFile;
using Microsoft.AspNetCore.Components;
using IronOcr;
namespace BlazorReadText.Pages
{
public class OCRModel : ComponentBase
{
protected string imageText;
protected string imagePreview;
byte [] imageFileBytes;
const string DefaultStatus = "Maximum size allowed for the image is 4 MB";
protected string status = DefaultStatus;
const int MaxFileSize = 4 * 1024 * 1024; // 4MB
protected async Task ViewImage(IFileListEntry [] files)
{
var file = files.FirstOrDefault();
if (file == null)
{
return;
}
else if (file.Size > MaxFileSize)
{
status = $"The file size is {file.Size} bytes, this is more than the allowed limit of {MaxFileSize} bytes.";
return;
}
else if (!file.Type.Contains("image"))
{
status = "Please uplaod a valid image file";
return;
}
else
{
var memoryStream = new MemoryStream();
await file.Data.CopyToAsync(memoryStream);
imageFileBytes = memoryStream.ToArray();
string base64String = Convert.ToBase64String(imageFileBytes, 0, imageFileBytes.Length);
imagePreview = string.Concat("data:image/png;base64,", base64String);
memoryStream.Flush();
status = DefaultStatus;
}
}
protected private async Task GetText()
{
if (imageFileBytes != null)
{
IronTesseract ocr = new IronTesseract();
using (OcrInput input = new OcrInput(imageFileBytes))
{
OcrResult result = ocr.Read(input);
imageText = result.Text;
}
}
}
}
}
Imports BlazorInputFile
Imports Microsoft.AspNetCore.Components
Imports IronOcr
Namespace BlazorReadText.Pages
Public Class OCRModel
Inherits ComponentBase
Protected imageText As String
Protected imagePreview As String
Private imageFileBytes() As Byte
Private Const DefaultStatus As String = "Maximum size allowed for the image is 4 MB"
Protected status As String = DefaultStatus
Private Const MaxFileSize As Integer = 4 * 1024 * 1024 ' 4MB
Protected Async Function ViewImage(ByVal files() As IFileListEntry) As Task
Dim file = files.FirstOrDefault()
If file Is Nothing Then
Return
ElseIf file.Size > MaxFileSize Then
status = $"The file size is {file.Size} bytes, this is more than the allowed limit of {MaxFileSize} bytes."
Return
ElseIf Not file.Type.Contains("image") Then
status = "Please uplaod a valid image file"
Return
Else
Dim memoryStream As New MemoryStream()
Await file.Data.CopyToAsync(memoryStream)
imageFileBytes = memoryStream.ToArray()
Dim base64String As String = Convert.ToBase64String(imageFileBytes, 0, imageFileBytes.Length)
imagePreview = String.Concat("data:image/png;base64,", base64String)
memoryStream.Flush()
status = DefaultStatus
End If
End Function
Private Protected Async Function GetText() As Task
If imageFileBytes IsNot Nothing Then
Dim ocr As New IronTesseract()
Using input As New OcrInput(imageFileBytes)
Dim result As OcrResult = ocr.Read(input)
imageText = result.Text
End Using
End If
End Function
End Class
End Namespace
In the above code, the ViewImage
method is used to take the uploaded file from the Input file and check whether it is an image and the size is less than as specified. If any error occurs in file size or file type, the if-else
block handles it. Then the image is copied to a MemoryStream
. Finally, the image is converted to a byte array as IronOcr.OcrInput
can accept an image in binary format.
The GetText
method uses IronOCR to read text from the input image. IronOCR uses the latest Tesseract 5 engine and is in 127+ supported languages. The converted image to a byte array is passed as OcrInput
and the result is retrieved using the IronTesseract
Read
method. IronTesseract
developed by the IronOCR team is the extended version of Google Tesseract. For more information visit the C# Tesseract OCR example.
Finally, the extracted text is saved in the imageText
variable for display. The library supports English text images without additional configuration. You can have a look at how to use different languages on this code example page.
Now, create the UI for the application. Open the OCR.razor
file and write the following code:
@page "/IronOCR"
@inherits OCRModel
<h2>Optical Character Recognition (OCR) Using Blazor and IronOCR Software</h2>
<div class="row">
<div class="col-md-5">
<textarea disabled class="form-control" rows="10" cols="15">@imageText</textarea>
</div>
<div class="col-md-5">
<div class="image-container">
<img class="preview-image" width="800" height="500" src=@imagePreview>
</div>
<BlazorInputFile.InputFile OnChange="@ViewImage" />
<p>@status</p>
<hr />
<button class="btn btn-primary btn-lg" @onclick="GetText">
Extract Text
</button>
</div>
</div>
@page "/IronOCR"
@inherits OCRModel
<h2>Optical Character Recognition (OCR) Using Blazor and IronOCR Software</h2>
<div class="row">
<div class="col-md-5">
<textarea disabled class="form-control" rows="10" cols="15">@imageText</textarea>
</div>
<div class="col-md-5">
<div class="image-container">
<img class="preview-image" width="800" height="500" src=@imagePreview>
</div>
<BlazorInputFile.InputFile OnChange="@ViewImage" />
<p>@status</p>
<hr />
<button class="btn btn-primary btn-lg" @onclick="GetText">
Extract Text
</button>
</div>
</div>
'INSTANT VB TODO TASK: The following line uses invalid syntax:
'@page "/IronOCR" @inherits OCRModel <h2> Optical Character Recognition(OCR) @Using Blazor @and IronOCR Software</h2> <div class="row"> <div class="col-md-5"> <textarea disabled class="form-control" rows="10" cols="15"> @imageText</textarea> </div> <div class="col-md-5"> <div class="image-container"> <img class="preview-image" width="800" height="500" src=@imagePreview> </div> <BlazorInputFile.InputFile OnChange="@ViewImage" /> <p> @status</p> <hr /> <button class="btn btn-primary btn-lg" @onclick="GetText"> Extract Text </button> </div> </div>
In the code above, the UI contains an input file tag to choose an image file and an image tag to display the image. There is a button below the input field that triggers the GetText
method. There is a text area that is used to display the extracted text from image data.
Lastly, add a link to the OCR.razor page in NavMenu.razor
file under the Shared folder.
<div class="nav-item px-3">
<NavLink class="nav-link" href="IronOCR">
<span class="oi oi-plus" aria-hidden="true"></span> Read Image Text
</NavLink>
</div>
<div class="nav-item px-3">
<NavLink class="nav-link" href="IronOCR">
<span class="oi oi-plus" aria-hidden="true"></span> Read Image Text
</NavLink>
</div>
Remove the links to Counter
and FetchData
, as they are not needed.
Everything is now completed and ready to use. Press F5 to run the application.
The frontend should appear as shown below:
The UI of the Blazor Server App
Let's upload an image and extract text to visualize the output.
Uploaded images and extracted texts
The output text is clean, and it can be copied from the text area.
This article demonstrated how to create a Blazor UI Component with code behind it in the Blazor Server Application to read texts from images. The IronOCR is a versatile library to extract text in any C#-based application. It supports the latest .NET Framework and can be used well with Razor applications. IronOCR is a cross-platform library supported on Windows, Linux, macOS, Docker, Azure, AWS, and MAUI. Additionally, IronOCR offers high accuracy using the best results from Tesseract, without any additional settings. It supports multipage frame TIFF, PDF files, and all popular image formats. It is also possible to read barcode values from images.
You can also try IronOCR for free in a free trial. Download the software library from here.
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