.NET MAUI OCR Using IronOCR
Introduction
Microsoft released .NET MAUI (Multi-platform App UI), which is a framework for building cross-platform applications with the .NET Framework. It allows you to write code that runs on Android, iOS, and Windows using the same codebase, saving you time, resources, and effort. .NET MAUI is open source. You can get the source code of the .NET MAUI project with examples on GitHub.
In this How-To Guide, we'll learn how to create an OCR processor app on .NET MAUI using the IronOCR library with examples.
How to Perform OCR in .NET MAUI
- Download the C# library for performing OCR in .NET MAUI
- Configure the frontend of the MAUI project
- Pass the full path of the image using the FilePicker class
- Invoke the
Read
method to perform OCR on the image - Access the extracted text by accessing the Text property and display it
IronOCR: .NET OCR library
IronOCR is a .NET OCR NuGet library that enables developers to easily integrate Optical Character Recognition (OCR) functionality into their projects. Using IronOCR, PDF documents can be scanned and converted into searchable and editable text/data without any loss of data quality. This makes it easy for users to find the information they need from PDF documents and make changes or corrections if necessary.
IronOCR is the most advanced build of the Tesseract binaries available for any platform. It offers increased speed, accuracy, and a native DLL/API that supports all versions of Tesseract (from Tesseract 3 up to Tesseract 5) with one easy install/download.
IronOCR's language support is extensive, with 125 international languages available to users. The English language is installed by default with the tool/DLL. However, you can easily add more languages by installing them through NuGet or by downloading DLLs.
Comparison with Tesseract
IronOCR is specifically designed for C# developers and integrates seamlessly with .NET applications. By contrast, Tesseract is a generic OCR library that requires developers to write their own wrappers to use it with C#. In addition, IronOCR offers superior accuracy and speed compared to other libraries, thanks to its innovative artificial intelligence algorithms.
IronOCR comes with comprehensive documentation and technical support, making it easy for even novice developers to get up and running quickly.
IronOCR is much more accurate than Tesseract. In fact, it has an accuracy rate of over 99%, while Tesseract's accuracy rate is only around 70.2% to 92.9%. Get more info and support about IronOCR and Tesseract comparison on this YouTube video.
Steps to Create an OCR MAUI app
Follow these steps to create an OCR app in the .NET MAUI framework using IronOCR.
Prerequisites
For creating an OCR app in .NET MAUI, these are the prerequisites:
- Visual Studio 2022 (Latest version)
- .NET 6 or 7
- MAUI packages installed in Visual Studio
- A .NET MAUI project running in Visual Studio
Install IronOCR
The first step is to install the IronOCR library using the NuGet Package Manager Console. Open the NuGet Package Manager Console by right-clicking on the solution explorer and executing the following command to install the IronOCR library:
Install-Package IronOcr
Frontend Design
We will design the frontend of the application in this section. Open the MainPage.xaml file.

MainPage.xaml
We designate a button that will help us select the image or PDF document for OCR. The button's Clicked
property is set to execute the IOCR
function which we will define in the next section.
<Button
x:Name="OCR"
Text="Click to OCR"
Clicked="IOCR"
HorizontalOptions="Center" />
<Button
x:Name="OCR"
Text="Click to OCR"
Clicked="IOCR"
HorizontalOptions="Center" />
Here, we create an Image
element with the name OCRImage
. This image box will display the selected file.
<Image
x:Name="OCRImage"
SemanticProperties.Description="Selected Image"
HeightRequest="300"
HorizontalOptions="Center" />
<Image
x:Name="OCRImage"
SemanticProperties.Description="Selected Image"
HeightRequest="300"
HorizontalOptions="Center" />
Next, we create an Editor
control. It will be used to show the extracted text from the image or PDF document.
<Editor
x:Name="outputText"
HorizontalOptions="Center"
WidthRequest="600"
HeightRequest="300" />
<Editor
x:Name="outputText"
HorizontalOptions="Center"
WidthRequest="600"
HeightRequest="300" />
Here is the completed XAML User Interface markup.
<?xml version="1.0" encoding="utf-8" ?>
<ContentPage xmlns="http://schemas.microsoft.com/dotnet/2021/maui"
xmlns:x="http://schemas.microsoft.com/winfx/2009/xaml"
x:Class="IronOCR_MAUI_Test.MainPage">
<ScrollView>
<VerticalStackLayout
Spacing="25"
Padding="30,0"
VerticalOptions="Center">
<Button
x:Name="OCR"
Text="Click to OCR"
Clicked="IOCR"
HorizontalOptions="Center" />
<Image
x:Name="OCRImage"
SemanticProperties.Description="Selected Image"
HeightRequest="300"
HorizontalOptions="Center" />
<Editor
x:Name="outputText"
HorizontalOptions="Center"
WidthRequest="600"
HeightRequest="300" />
</VerticalStackLayout>
</ScrollView>
</ContentPage>
<?xml version="1.0" encoding="utf-8" ?>
<ContentPage xmlns="http://schemas.microsoft.com/dotnet/2021/maui"
xmlns:x="http://schemas.microsoft.com/winfx/2009/xaml"
x:Class="IronOCR_MAUI_Test.MainPage">
<ScrollView>
<VerticalStackLayout
Spacing="25"
Padding="30,0"
VerticalOptions="Center">
<Button
x:Name="OCR"
Text="Click to OCR"
Clicked="IOCR"
HorizontalOptions="Center" />
<Image
x:Name="OCRImage"
SemanticProperties.Description="Selected Image"
HeightRequest="300"
HorizontalOptions="Center" />
<Editor
x:Name="outputText"
HorizontalOptions="Center"
WidthRequest="600"
HeightRequest="300" />
</VerticalStackLayout>
</ScrollView>
</ContentPage>
Now, it's time to write the code for OCR functionality.
Code for OCR using IronOCR
Open the MainPage.xaml.cs
class file and write the following function:

MainPage.xaml.cs
private async void IOCR(object sender, EventArgs e)
{
// Prompt user to select an image using FilePicker
var images = await FilePicker.Default.PickAsync(new PickOptions
{
PickerTitle = "Pick image",
FileTypes = FilePickerFileType.Images
});
// Get the full path of the selected image
var path = images.FullPath.ToString();
// Display the selected image in the Image control
OCRImage.Source = path;
// Create an IronTesseract object to perform OCR
var ocr = new IronTesseract();
// Perform OCR and extract text from the selected image
using (var input = new OcrInput())
{
input.AddImage(path); // Add image to the OCR input
OcrResult result = ocr.Read(input); // Perform OCR
string text = result.Text; // Extract text
// Display extracted text in the Editor control
outputText.Text = text;
}
}
private async void IOCR(object sender, EventArgs e)
{
// Prompt user to select an image using FilePicker
var images = await FilePicker.Default.PickAsync(new PickOptions
{
PickerTitle = "Pick image",
FileTypes = FilePickerFileType.Images
});
// Get the full path of the selected image
var path = images.FullPath.ToString();
// Display the selected image in the Image control
OCRImage.Source = path;
// Create an IronTesseract object to perform OCR
var ocr = new IronTesseract();
// Perform OCR and extract text from the selected image
using (var input = new OcrInput())
{
input.AddImage(path); // Add image to the OCR input
OcrResult result = ocr.Read(input); // Perform OCR
string text = result.Text; // Extract text
// Display extracted text in the Editor control
outputText.Text = text;
}
}
Private Async Sub IOCR(ByVal sender As Object, ByVal e As EventArgs)
' Prompt user to select an image using FilePicker
Dim images = Await FilePicker.Default.PickAsync(New PickOptions With {
.PickerTitle = "Pick image",
.FileTypes = FilePickerFileType.Images
})
' Get the full path of the selected image
Dim path = images.FullPath.ToString()
' Display the selected image in the Image control
OCRImage.Source = path
' Create an IronTesseract object to perform OCR
Dim ocr = New IronTesseract()
' Perform OCR and extract text from the selected image
Using input = New OcrInput()
input.AddImage(path) ' Add image to the OCR input
Dim result As OcrResult = ocr.Read(input) ' Perform OCR
Dim text As String = result.Text ' Extract text
' Display extracted text in the Editor control
outputText.Text = text
End Using
End Sub
Let's break down the above code:
- The code uses the
FilePicker
to allow the user to select an image file from the device. The file picker is configured to only allow images.
var images = await FilePicker.Default.PickAsync(new PickOptions
{
PickerTitle = "Pick image",
FileTypes = FilePickerFileType.Images
});
var path = images.FullPath.ToString();
var images = await FilePicker.Default.PickAsync(new PickOptions
{
PickerTitle = "Pick image",
FileTypes = FilePickerFileType.Images
});
var path = images.FullPath.ToString();
Dim images = Await FilePicker.Default.PickAsync(New PickOptions With {
.PickerTitle = "Pick image",
.FileTypes = FilePickerFileType.Images
})
Dim path = images.FullPath.ToString()
- The
Image
control is set to display the selected image using its file path.
OCRImage.Source = path;
OCRImage.Source = path;
OCRImage.Source = path
- An
IronTesseract
object is created to perform OCR. The selected image is added to anOcrInput
object. TheRead
method is called to extract text from the image, which is then displayed in theEditor
control.
var ocr = new IronTesseract();
using (var input = new OcrInput())
{
input.AddImage(path);
OcrResult result = ocr.Read(input);
string text = result.Text;
outputText.Text = text;
}
var ocr = new IronTesseract();
using (var input = new OcrInput())
{
input.AddImage(path);
OcrResult result = ocr.Read(input);
string text = result.Text;
outputText.Text = text;
}
Dim ocr = New IronTesseract()
Using input = New OcrInput()
input.AddImage(path)
Dim result As OcrResult = ocr.Read(input)
Dim text As String = result.Text
outputText.Text = text
End Using
Output
After running the project, the below UI shows up. When you click on the button, it will prompt you to select an image/PDF from any location.

OCR Output
After selecting the image, IronOCR processes the image and shows the recognized words in the Editor control. You can copy the text from the Editor control.

OCR Image
From the results, it shows that IronOCR performs a wonderful job at processing complex images with patterns, showing accurate results. IronOCR is able to detect small details and select the exact letters required using its pre-trained models.
<{i:(Running the project in release mode with debugging attached might cause issues. In such cases, you can publish the project as an unpackaged .NET MAUI app, as shown in the link below, to ensure the app works properly.)}>
Conclusion
For further reading, refer to this tutorial which provides additional information about how to use IronOCR to read text from images.
IronOCR is free for development purposes. You can purchase it for a very low price starting from just $749. Check out the pricing plan here.
Frequently Asked Questions
What is .NET MAUI used for in app development?
.NET MAUI (Multi-platform App UI) is used for building cross-platform applications with a single codebase, allowing developers to target Android, iOS, and Windows platforms.
How can developers perform OCR in a .NET MAUI app?
Developers can perform OCR in a .NET MAUI app by integrating IronOCR, a .NET OCR library. IronOCR allows the conversion of images and PDFs into searchable and editable text.
What are the steps to set up IronOCR in a .NET MAUI project?
To set up IronOCR in a .NET MAUI project, install the IronOCR library via NuGet, configure your frontend in Visual Studio, and implement the necessary C# code to perform OCR using the IronTesseract object.
How accurate is IronOCR when processing text?
IronOCR provides a high accuracy rate of over 99% when processing text, making it more reliable than other OCR solutions like Tesseract due to its advanced AI algorithms.
Can IronOCR handle multiple languages?
Yes, IronOCR supports 125 international languages, with English installed by default. Additional languages can be added via NuGet or by downloading specific language DLLs.
How do you select an image file for OCR in a .NET MAUI app?
In a .NET MAUI app, you can select an image file for OCR using the FilePicker
class, which allows users to choose images from their device for text extraction.
What is the role of the Editor control in displaying OCR results?
The Editor control in a .NET MAUI app is used to display text extracted from images processed by IronOCR, providing an interface for users to view OCR results.
Is there a cost associated with using IronOCR for development?
IronOCR is free to use for development purposes. However, a license is required for production use, which can be obtained at a competitive price.
What makes IronOCR a preferred choice for C# developers?
IronOCR is a preferred choice for C# developers due to its seamless integration with .NET applications, high accuracy, speed, and support for multiple languages, making it superior to many other OCR libraries.
How can developers enhance the functionality of their .NET MAUI OCR app?
Developers can enhance their .NET MAUI OCR app by exploring additional resources provided by IronOCR, utilizing its comprehensive documentation and support to implement advanced features.