How to Perform OCR in NET Maui Kannapat Udonpant Published:November 10, 2025 Download IronOCR NuGet Download DLL Download Windows Installer 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 Watch the video to master the integration of IronOCR in .NET MAUI, and enhance your app's functionality with seamless cross-platform OCR capabilities. more... In this informative video tutorial, viewers are guided through the process of building a cross-platform mobile OCR application using .NET MAUI and IronOCR. The video begins with an introduction to the key tools and technologies involved, specifically the .NET Multi-platform App UI (MAUI) framework and the IronOCR library. MAUI is highlighted as a powerful framework for creating native applications for iOS, Android, and Windows from a single codebase, while IronOCR is recognized for its efficient optical character recognition capabilities.The tutorial then moves into a step-by-step walkthrough on integrating IronOCR into a .NET MAUI project. It covers essential setup procedures, including installing the necessary libraries and configuring the project for OCR functionality. Viewers are shown how to utilize IronOCR to scan and extract text from images, a feature that is particularly beneficial in developing applications requiring text recognition from photographs or scanned documents.Throughout the video, practical coding examples are provided to illustrate how to implement OCR functions effectively within a MAUI app. The presenter also shares tips and best practices for optimizing the app’s performance across different platforms, ensuring a smooth user experience.By the end of the video, viewers will have a thorough understanding of how to leverage both .NET MAUI and IronOCR to craft robust cross-platform applications with advanced OCR capabilities. This tutorial is ideal for developers looking to expand their skill set in mobile application development and implement cutting-edge features in their projects.
Published November 16, 2025 How to Enhance Image Quality for Better OCR Results Using C# Learn how to enhance image quality to achieve better OCR accuracy in C#. This tutorial guides you through improving blurry, low-contrast, or poorly scanned images, ensuring optimal OCR results. Master the essential techniques to refine images and boost recognition precision. Read More
Published November 12, 2025 How to use Async and Multithreading in C# Enhance your OCR accuracy with this tutorial, which demonstrates how to use IronOCR in C# for adjusting image brightness, contrast, gamma, and color balance. By optimizing image colors before scanning, you can achieve more precise OCR results, ensuring your text recognition tasks are performed at their best. Read More
Published November 9, 2025 How to Fix Image Colors for Reading in C# Learn how to enhance OCR accuracy by adjusting image colors before scanning. This tutorial demonstrates using IronOCR in C# to modify brightness, contrast, gamma, and colors, ensuring optimal text recognition. Read More
Published November 6, 2025 How to Read Multi FramePage GIFs and TIFFs in C# Discover how to integrate OCR functionality into your .NET applications for processing multi-page TIFFs and animated GIFs. This tutorial walks you through reading and extracting text from these image formats using C#, equipping your app with advanced image processing features. Read More
Published September 30, 2025 How to Extract Arabic Text from Images Using OCR Tools Explore the process of integrating Arabic text recognition in .NET applications with this IronOCR tutorial. Master handling right-to-left languages efficiently. Read More
Published September 29, 2025 How to Implement OCR in C# Using Open Source Libraries Explore the top open-source OCR tools for C# in this video. Gain insights into the most reliable and free OCR engines that can seamlessly integrate with your .NET applications and enhance their text recognition capabilities. Read More
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