Build a receipt OCR API in C# using IronOCR. Step-by-step tutorial with code examples for extracting structured data from receipt images — locally and accurately.

OCR C# GitHub tutorial: Implement text recognition in your GitHub projects using IronOCR. Includes code samples and version control tips.

Create powerful OCR solutions with IronOCR's .NET SDK. Simple API, enterprise features, and cross-platform support for document processing applications.

Learn how to OCR a PDF and extract text from scanned documents using IronOCR.

Learn how to read PDF form fields in C# using IronPDF. Extract text, checkboxes, dropdowns & more from fillable PDFs with simple code examples.

Learn how to extract images from PDF documents in C# using IronPDF's powerful methods. Complete guide with code examples for .NET developers.

Learn how to convert PDF documents to images in C# using IronPDF. Step-by-step guide with code examples for JPG, PNG, and TIFF conversion.

Master PDF data extraction in .NET applications. Extract text, parse tables, process scanned PDFs with OCR. Complete C# tutorial with working code examples.

Learn how to enhance accuracy in Text Recognition Using IronOCR and Computer Vision.

Learn how to add OCR to C# GitHub projects using IronOCR. Covers text extraction, preprocessing, barcodes, searchable PDFs, and multilingual support.

Complete C# OCR tutorial showing how to extract text from scanned documents and images. Includes working code samples for .NET projects with IronOCR library.

Create powerful OCR solutions with IronOCR's .NET SDK. Simple API, enterprise features, and cross-platform support for document processing applications.

OCR C# GitHub tutorial: Implement text recognition in your GitHub projects using IronOCR. Includes code samples and version control tips.

IronOCR 2025.9 cuts TIFF processing memory by 98% with streaming architecture, eliminating crashes and boosting speed for enterprise workflows.

In this developer-focused session, Iron Software’s Chipego Kalinda and Darren Steddy demonstrate how to convert scanned PDFs into searchable, compliant documents using IronOCR. Watch real-time examples of PDF/UA accessibility, full-text search, and targeted data extraction—all with just a few lines of C# code.

Discover why IronOCR is the superior choice for OCR compared to LLMs like Google Gemini. Learn about accuracy, structured output, and efficient text extraction for .NET applications.

In a recent live session, the Iron Software team demonstrated how to extract table data from scanned images using IronOCR. Shadman Majid, our Sales Engineer, walked through the live code implementation for table detection and extraction.

IronOCR 2025.2 significantly improves OCR performance with faster processing, better memory management, and efficient handling of large multi-page TIFFs. Key optimizations include instance reuse, concurrent processing, and improved PDF rendering, delivering up to 49% faster processing and 63% lower memory usage.

IronOCR is a powerful Optical Character Recognition (OCR) software library that can be used to extract data or text from invoices from a digital file

This article will probably discuss real-life examples of how IronOCR processes and filters supermarket receipts to ensure data accuracy.

In scenarios where you need to recognize passport information quickly or in a process involving automating passport data extraction

One of the significant advantages of Tesseract is that it can be trained to be sensitive to particular fonts or new languages added

we will explore how to perform OCR using IronOCR with code examples with OCR Software Demo.

In this article, we are going to explore how to efficiently extract data from vehicle registrations with different license plate format using Optical Character Recognition (OCR) technology, with a focus on implementing this functionality using the IronOCR library in C#.