IronOCR How-Tos Result Confidence How to Get Read Confidence Chaknith Bin Updated:July 22, 2025 Read confidence in OCR (Optical Character Recognition) refers to the level of certainty or reliability that the OCR system assigns to the accuracy of the text it has recognized in an image or document. It is a measure of how confident the OCR system is that the recognized text is correct. A high confidence score indicates a high degree of certainty that the recognition is accurate, while a low confidence score suggests that the recognition may be less reliable. Get Started with IronOCR Start using IronOCR in your project today with a free trial. First Step: Start for Free How to get Read Confidence Download a C# library to access read confidence Prepare the targeted image and PDF document Access the Confidence property of the OCR result Retrieve the confidence of pages, paragraphs, lines, words, and characters Check the Choices property for alternative word choices Get Read Confidence Example After performing OCR on the input image, the confidence level of the text is stored in the Confidence property. Utilize the 'using' statement to automatically dispose of objects after use. Add documents such as images and PDFs with the OcrImageInput and OcrPdfInput classes, respectively. The Read method will return an OcrResult object that allows access to the Confidence property. :path=/static-assets/ocr/content-code-examples/how-to/tesseract-result-confidence-get-confidence.cs using IronOcr; // Instantiate IronTesseract IronTesseract ocrTesseract = new IronTesseract(); // Add image using var imageInput = new OcrImageInput("sample.tiff"); // Perform OCR OcrResult ocrResult = ocrTesseract.Read(imageInput); // Get confidence level double confidence = ocrResult.Confidence; Imports IronOcr ' Instantiate IronTesseract Private ocrTesseract As New IronTesseract() ' Add image Private imageInput = New OcrImageInput("sample.tiff") ' Perform OCR Private ocrResult As OcrResult = ocrTesseract.Read(imageInput) ' Get confidence level Private confidence As Double = ocrResult.Confidence $vbLabelText $csharpLabel Get Read Confidences at Different Levels Not only can you retrieve the confidence level of the entire document, but you can also access the confidence levels of each page, paragraph, line, word, and character. Furthermore, you can obtain the confidence of a block, which represents a collection of one or more paragraphs located closely together. :path=/static-assets/ocr/content-code-examples/how-to/tesseract-result-confidence-confidence-level.cs // Get page confidence level double pageConfidence = ocrResult.Pages[0].Confidence; // Get paragraph confidence level double paragraphConfidence = ocrResult.Paragraphs[0].Confidence; // Get line confidence level double lineConfidence = ocrResult.Lines[0].Confidence; // Get word confidence level double wordConfidence = ocrResult.Words[0].Confidence; // Get character confidence level double characterConfidence = ocrResult.Characters[0].Confidence; // Get block confidence level double blockConfidence = ocrResult.Blocks[0].Confidence; ' Get page confidence level Dim pageConfidence As Double = ocrResult.Pages(0).Confidence ' Get paragraph confidence level Dim paragraphConfidence As Double = ocrResult.Paragraphs(0).Confidence ' Get line confidence level Dim lineConfidence As Double = ocrResult.Lines(0).Confidence ' Get word confidence level Dim wordConfidence As Double = ocrResult.Words(0).Confidence ' Get character confidence level Dim characterConfidence As Double = ocrResult.Characters(0).Confidence ' Get block confidence level Dim blockConfidence As Double = ocrResult.Blocks(0).Confidence $vbLabelText $csharpLabel Get Character Choices Apart from the confidence level, there is another interesting property called Choices. Choices contain a list of alternative word choices and their statistical relevance. This information allows the user to access other possible characters. :path=/static-assets/ocr/content-code-examples/how-to/tesseract-result-confidence-get-choices.cs using IronOcr; using static IronOcr.OcrResult; // Instantiate IronTesseract IronTesseract ocrTesseract = new IronTesseract(); // Add image using var imageInput = new OcrImageInput("Potter.tiff"); // Perform OCR OcrResult ocrResult = ocrTesseract.Read(imageInput); // Get choices Choice[] choices = ocrResult.Characters[0].Choices; Imports IronOcr Imports IronOcr.OcrResult ' Instantiate IronTesseract Private ocrTesseract As New IronTesseract() ' Add image Private imageInput = New OcrImageInput("Potter.tiff") ' Perform OCR Private ocrResult As OcrResult = ocrTesseract.Read(imageInput) ' Get choices Private choices() As Choice = ocrResult.Characters(0).Choices $vbLabelText $csharpLabel Retrieved Information Frequently Asked Questions What does read confidence mean in OCR? Read confidence in OCR refers to the level of certainty or reliability assigned by the OCR system regarding the accuracy of the text it has recognized. A high score indicates reliable text recognition, while a low score suggests possible inaccuracies. How can I start using a C# library to obtain OCR read confidence? Begin by downloading the IronOCR library from NuGet. Prepare your images or PDF documents for processing, and use the Read method to access the Confidence property from the OcrResult object. How do I retrieve the confidence level of recognized text in C#? To retrieve the confidence level of recognized text, use IronOCR's Read method, which returns an OcrResult object. This object includes a Confidence property that indicates the accuracy level of the text. Can I check the confidence levels for different parts of a document? Yes, IronOCR allows you to check confidence levels for various parts of a document, including pages, paragraphs, lines, words, and characters. This provides a detailed accuracy assessment of the OCR process. What are character choices in OCR? Character choices in OCR provide a list of alternative word choices and their statistical relevance. This feature helps users access other possible characters recognized by the OCR system, offering additional insights into the recognition process. How is the confidence property used in a C# OCR library? The Confidence property in a C# OCR library indicates the accuracy level of recognized text. It provides a numerical score that represents the OCR system's certainty about the recognition accuracy. Is it possible to access block-level confidence in a C# OCR library? Yes, you can access block-level confidence using IronOCR. A block represents a collection of closely located paragraphs, and its confidence level can be checked to evaluate the accuracy of text recognition at this level. What is the purpose of the Choices property in OCR? The Choices property offers alternative word choices and their confidence scores. This helps users understand other potential text interpretations provided by the OCR system, enhancing the assessment of recognized text. How do I implement OCR with confidence levels in C#? Implement OCR with confidence levels in C# by using the IronOCR library. Set up your environment, prepare your input documents, and utilize the Read method to obtain an OcrResult object, from which you can access the Confidence property. What steps should I follow to assess read confidence using a C# OCR library? To assess read confidence, download the IronOCR library, prepare the documents for OCR processing, use the Read method to obtain an OcrResult, and access the Confidence property to evaluate the accuracy of recognized text. Chaknith Bin Chat with engineering team now Software Engineer Chaknith works on IronXL and IronBarcode. He has deep expertise in C# and .NET, helping improve the software and support customers. His insights from user interactions contribute to better products, documentation, and overall experience. Reviewed by Jeffrey T. Fritz Principal Program Manager - .NET Community Team Jeff is also a Principal Program Manager for the .NET and Visual Studio teams. He is the executive producer of the .NET Conf virtual conference series and hosts 'Fritz and Friends' a live stream for developers that airs twice weekly where he talks tech and writes code together with viewers. Jeff writes workshops, presentations, and plans content for the largest Microsoft developer events including Microsoft Build, Microsoft Ignite, .NET Conf, and the Microsoft MVP Summit Ready to Get Started? Nuget Downloads 4,778,238 | Version: 2025.10 just released Free NuGet Download Total downloads: 4,778,238 View Licenses