Perform OCR in Blazor
17 Jul 202622 minutes to read
The .NET OCR library is used to extract text from scanned PDFs and images in Blazor applications with the help of Google’s Tesseract Optical Character Recognition engine.
Prerequisites
Version Compatibility
- Syncfusion.PDF.OCR.Net.Core supports .NET 8.0 and later versions.
Supported Inputs
The OCR processor supports the following input formats:
- Single-page and multi-page PDF documents
- Scanned images in common formats (JPEG, PNG, TIFF)
- Recommended DPI: 200 DPI or higher for optimal OCR accuracy
Required Software
- .NET 8 SDK or later
- Visual Studio, Visual Studio Code, or JetBrains Rider
Register the License Key
NOTE
Starting with v16.2.0.x, if you reference Syncfusion® assemblies from trial setup or from the NuGet feed, you must add the Syncfusion.Licensing assembly reference and register a license key in your application. For more information, see the licensing documentation.
Include the following code in the Program.cs file to register the license key:
using Syncfusion.Licensing;
// Register Syncfusion license at application startup
SyncfusionLicenseProvider.RegisterLicense("YOUR LICENSE KEY");NOTE
- Beginning from version 21.1.x, the TesseractBinaries and Tesseract language data folders are now included by default; you no longer have to set these paths explicitly.
- The current NuGet package includes Tesseract 5.0, which provides support for 100+ languages.
Steps to perform OCR on an entire PDF document in Blazor
Step 1: Create a new C# Blazor Server application project targeting .NET 6 or later. Select Blazor App from the template and click Next:

Step 2: In the project configuration window, name your project and click Create.

Step 3: Install the Syncfusion.PDF.OCR.Net.Core NuGet package into your Blazor application from NuGet.org.

Step 4: Create a new class file named ExportService under the Data folder and include the following namespaces:
using Syncfusion.OCRProcessor;
using Syncfusion.Pdf.Parsing;Step 5: Use the following code sample to perform OCR on the entire PDF document using the PerformOCR method of the OCRProcessor class in the ExportService file:
public MemoryStream CreatePdf()
{
// Initialize the OCR processor
using (OCRProcessor processor = new OCRProcessor("Tesseractbinaries/Windows"))
{
FileStream fileStream = new FileStream("Input.pdf", FileMode.Open, FileAccess.Read);
// Load a PDF document
PdfLoadedDocument lDoc = new PdfLoadedDocument(fileStream);
// Set OCR language
processor.Settings.Language = Languages.English;
// Set Tesseract version
processor.Settings.TesseractVersion = TesseractVersion.Version5_0;
// Perform OCR on the document
processor.PerformOCR(lDoc, "tessdata/");
// Create memory stream and save the processed document
MemoryStream stream = new MemoryStream();
lDoc.Save(stream);
return stream;
}
}Step 6: Register your service in the ConfigureServices method available in Startup.cs:
public void ConfigureServices(IServiceCollection services)
{
services.AddRazorPages();
services.AddServerSideBlazor();
services.AddSingleton<WeatherForecastService>();
services.AddSingleton<ExportService>();
}Step 7: Inject ExportService into FetchData.razor using the following code:
@inject ExportService exportService
@inject Microsoft.JSInterop.IJSRuntime JS
@using System.IOStep 8: Create a button in FetchData.razor using the following code:
<button class="btn btn-primary" @onclick="@PerformOCR">Perform OCR</button>Step 9: Add the PerformOCR method in FetchData.razor to call the export service:
@functions
{
protected async Task PerformOCR()
{
ExportService exportService = new ExportService();
using (MemoryStream pdfStream = exportService.CreatePdf())
{
await JS.SaveAs("Output.pdf", pdfStream.ToArray());
}
}
}Step 10: Create a class file named FileUtil and add the following code to invoke the JavaScript action to download the file in the browser:
public static class FileUtil
{
public static ValueTask<object> SaveAs(this IJSRuntime js, string filename, byte[] data)
=> js.InvokeAsync<object>(
"saveAsFile",
filename,
Convert.ToBase64String(data));
}Step 11: Add the following JavaScript function in _Host.cshtml (available under the Pages folder):
<script type="text/javascript">
function saveAsFile(filename, bytesBase64) {
if (navigator.msSaveBlob) {
// Download document in Edge browser
var data = window.atob(bytesBase64);
var bytes = new Uint8Array(data.length);
for (var i = 0; i < data.length; i++) {
bytes[i] = data.charCodeAt(i);
}
var blob = new Blob([bytes.buffer], { type: "application/octet-stream" });
navigator.msSaveBlob(blob, filename);
}
else {
var link = document.createElement('a');
link.download = filename;
link.href = "data:application/octet-stream;base64," + bytesBase64;
document.body.appendChild(link); // Needed for Firefox
link.click();
document.body.removeChild(link);
}
}
</script>Step 12: Build the project.
Click Build > Build Solution or press Ctrl+Shift+B to build the project.
Step 13: Run the project.
Click the Start button (green arrow) or press F5 to run the application.
Step 1: Open the terminal in Visual Studio Code using Ctrl+` and run the following command to create a new Blazor Server application:
dotnet new blazorserver -n CreatePdfBlazorServerApp
Step 2: Replace CreatePdfBlazorServerApp with your desired project name.
Step 3: Navigate to the project directory using the following command:
cd CreatePdfBlazorServerApp
Step 4: Use the following command to add the Syncfusion.PDF.OCR.Net.Core package to your project:
dotnet add package Syncfusion.PDF.OCR.Net.Core
Step 5: Create a new class file named ExportService under the Data folder and include the following namespaces:
using Syncfusion.OCRProcessor;
using Syncfusion.Pdf.Parsing;
using System.IO;Step 6: Use the following code sample to perform OCR on the entire PDF document using the PerformOCR method of the OCRProcessor class in the ExportService file:
public MemoryStream CreatePdf()
{
// Initialize the OCR processor
using (OCRProcessor processor = new OCRProcessor("Tesseractbinaries/Windows"))
{
FileStream fileStream = new FileStream("Input.pdf", FileMode.Open, FileAccess.Read);
// Load a PDF document
PdfLoadedDocument lDoc = new PdfLoadedDocument(fileStream);
// Set OCR language
processor.Settings.Language = Languages.English;
// Set Tesseract version
processor.Settings.TesseractVersion = TesseractVersion.Version5_0;
// Perform OCR on the document
processor.PerformOCR(lDoc, "tessdata/");
// Create memory stream and save the processed document
MemoryStream stream = new MemoryStream();
lDoc.Save(stream);
return stream;
}
}Step 7: Register your service in the ConfigureServices method available in Startup.cs:
public void ConfigureServices(IServiceCollection services)
{
services.AddRazorPages();
services.AddServerSideBlazor();
services.AddSingleton<WeatherForecastService>();
services.AddSingleton<ExportService>();
}Step 8: Inject ExportService into FetchData.razor using the following code:
@inject ExportService exportService
@inject Microsoft.JSInterop.IJSRuntime JS
@using System.IOStep 9: Create a button in FetchData.razor using the following code:
<button class="btn btn-primary" @onclick="@PerformOCR">Perform OCR</button>Step 10: Add the PerformOCR method in FetchData.razor to call the export service:
@functions
{
protected async Task PerformOCR()
{
ExportService exportService = new ExportService();
using (MemoryStream pdfStream = exportService.CreatePdf())
{
await JS.SaveAs("Output.pdf", pdfStream.ToArray());
}
}
}Step 11: Create a class file named FileUtil and add the following code to invoke the JavaScript action to download the file in the browser:
public static class FileUtil
{
public static ValueTask<object> SaveAs(this IJSRuntime js, string filename, byte[] data)
=> js.InvokeAsync<object>(
"saveAsFile",
filename,
Convert.ToBase64String(data));
}Step 12: Add the following JavaScript function in _Host.cshtml (available under the Pages folder):
<script type="text/javascript">
function saveAsFile(filename, bytesBase64) {
if (navigator.msSaveBlob) {
// Download document in Edge browser
var data = window.atob(bytesBase64);
var bytes = new Uint8Array(data.length);
for (var i = 0; i < data.length; i++) {
bytes[i] = data.charCodeAt(i);
}
var blob = new Blob([bytes.buffer], { type: "application/octet-stream" });
navigator.msSaveBlob(blob, filename);
}
else {
var link = document.createElement('a');
link.download = filename;
link.href = "data:application/octet-stream;base64," + bytesBase64;
document.body.appendChild(link); // Needed for Firefox
link.click();
document.body.removeChild(link);
}
}
</script>Step 13: Build the project.
Run the following command in the terminal to build the project:
dotnet build
Step 14: Run the project.
Run the following command in terminal to build the project.
dotnet run
Step 1. Open JetBrains Rider and create a new Blazor server-side app project.
- Launch JetBrains Rider.
- Click new solution on the welcome screen.

- In the new Solution dialog, select Project Type as Web.
- Enter a project name and specify the location.
- Choose template as Blazor Server App.
- Select the target framework (e.g., .NET 8.0, .NET 9.0 and .NET 10).
- Click create.

Step 2: Install the NuGet package from NuGet.org.
- Click the NuGet icon in the Rider toolbar and type Syncfusion.PDF.OCR.Net.Core in the search bar.
- Ensure that “nuget.org” is selected as the package source.
- Select the latest Syncfusion.PDF.OCR.Net.Core NuGet package from the list.
- Click the + (Add) button to add the package.

- Click the Install button to complete the installation.

Step 4: Create a new class file named ExportService under the Data folder and include the following namespaces in the file.
using Syncfusion.OCRProcessor;
using Syncfusion.Pdf.Parsing;
using System.IO;Step 5: Use the following code sample to perform OCR on the entire PDF document using PerformOCR method of the OCRProcessor class in the ExportService file.
public MemoryStream CreatePdf()
{
//Initialize the OCR processor.
using (OCRProcessor processor = new OCRProcessor("Tesseractbinaries/Windows"))
{
FileStream fileStream = new FileStream("Input.pdf", FileMode.Open, FileAccess.Read);
//Load a PDF document.
PdfLoadedDocument lDoc = new PdfLoadedDocument(fileStream);
//Set OCR language to process.
processor.Settings.Language = Languages.English;
//Process OCR by providing the PDF document.
processor.PerformOCR(lDoc, "tessdata/");
//Create memory stream.
MemoryStream stream = new MemoryStream();
//Save the document to memory stream.
lDoc.Save(stream);
return stream;
}
}Step 6: Register your service in the ConfigureServices method available in the Startup.cs class as follows.
public void ConfigureServices(IServiceCollection services)
{
services.AddRazorPages();
services.AddServerSideBlazor();
services.AddSingleton<WeatherForecastService>();
services.AddSingleton<ExportService>();
}Step 7: Inject ExportService into FetchData.razor using the following code.
@inject ExportService exportService
@inject Microsoft.JSInterop.IJSRuntime JS
@using System.IO;Step 8: Create a button in the FetchData.razor using the following code.
<button class="btn btn-primary" @onclick="@PerformOCR">Perform OCR</button>Step 9: Add the PerformOCR method in FetchData.razor page to call the export service.
@functions
{
protected async Task PerformOCR()
{
ExportService exportService = new ExportService();
using (MemoryStream excelStream = exportService.CreatePdf())
{
await JS.SaveAs("Output.pdf", excelStream.ToArray());
}
}
}Step 10: Create a class file with the FileUtil name and add the following code to invoke the JavaScript action to download the file in the browser.
public static class FileUtil
{
public static ValueTask<object> SaveAs(this IJSRuntime js, string filename, byte[] data)
=> js.InvokeAsync<object>(
"saveAsFile",
filename,
Convert.ToBase64String(data));
}Step 11: Add the following JavaScript function in the _Host.cshtml available under the Pages folder.
<script type="text/javascript">
function saveAsFile(filename, bytesBase64) {
if (navigator.msSaveBlob) {
//Download document in Edge browser
var data = window.atob(bytesBase64);
var bytes = new Uint8Array(data.length);
for (var i = 0; i < data.length; i++) {
bytes[i] = data.charCodeAt(i);
}
var blob = new Blob([bytes.buffer], { type: "application/octet-stream" });
navigator.msSaveBlob(blob, filename);
}
else {
var link = document.createElement('a');
link.download = filename;
link.href = "data:application/octet-stream;base64," + bytesBase64;
document.body.appendChild(link); // Needed for Firefox
link.click();
document.body.removeChild(link);
}
}
</script>Step 12: Build the project.
Click the Build button in the toolbar or press Ctrl+Shift+B to build the project.
Step 13: Run the project.
Click the Run button (green arrow) in the toolbar or press F5 to run the app.
You will get the following output in the browser by executing the program.

Click the button and get a PDF document with the following output.

A complete working sample can be downloaded from Github.
Click here to explore the rich set of Syncfusion® PDF library features.