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We can use this even on a medium quality scan with 100% accuracy.Īs you can see, reading the text (and optionally barcodes) from a scanned image such as a TIFF was rather easy. This all may seem daunting, but in the example below you will see the default settings which we would recommend you start with, which will work with almost any image you input to Iron OCR. Output results to: Searchable PDFs, Hocr HTML, a DOM & StringsĮxample: Getting Started with OcrInput + IronTesseract.Specify a document type whether we are looking at a screenshot, a snippet, or an entire document.Use Tesseract 5, 4 or 3 OCR engines 'out-of-the-box'.Pick from hundreds of prepackaged language and language variants.Correcting for rotation, scan noise, digital noise, skew, negative images.

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Importing whole or parts of PDF documents.

Working with almost any type of image including JPEG, TIFF, GIF, BMP & PNG.

OcrInput gives you the facility to set the specific characteristics of an OCR job, such as:

In this case, we recommend that you move forward to use the OcrInput and IronTesseract classes within the IronOcr namespace. In most real world use cases, developers are going to want the best performance possible for their project. Advanced Use of Iron OCR Tesseract for C# In this case though, it is 100% accurate. In other words, OCR is not an instantaneous process. OCR is not a simple process for a computer to achieve, and reading speeds may be similar to those of a human. The quick brown fox jumps over the lazy dogĪlthough this may seem simplistic, there is sophisticated behavior going on 'under the surface': scanning the image for alignment, quality and resolution, looking at its properties, optimizing the OCR engine, and using a trained artificial intelligence network to then read the text as a human would. This is a very basic test, but things will get more complicated as the tutorial continues.

In this simple example we will test the accuracy of our C# OCR library to read text from a PNG Which results in 100% accuracy with the following text: Iron OCR Simple Example

Can correct low quality and skewed scans to get the best results from tesseract.

Supports PDFS, MultiFrame Tiffs and all major image formats without configuration.

Manage the complex Tesseract dictionary system using Nuget packages.

Supports Xamarin, Mono, Azure and Docker.

Has improved accuracy over and speed over traditional Tesseract.

Runs the latest engines: Tesseract 5 ( as well as Tesseract 4 & 3).

Doesn't require Tesseract to be installed on your machine.

Works straight out of the box in pure.

We use IronOCR for Tesseract management because its us unique in that it: PM > Install-Package IronOcr Why IronOCR?

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To do this, we download the IronOcr DLL or use Nuget.

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To achieve 'Image to Text' we will install the IronOCR library into a Visual Studio project.

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We will use the IronOcr.IronTesseract class to recognize text within images and look at the nuances of how to use Iron Tesseract OCR to get the highest performance in terms of accuracy and speed when reading text from images in. Exporting OCR results as searchable PDFs in C# and VB.NET.Supports 125 international languages via language packs which are distributed as DLLs.Compare with Tesseract in scanning low quality Image.Download C# Convert Image to Text OCR Library.How to Convert Image to Text in C# OCR Library Visual C++ Redistributable for Visual Studio.Save image with different image processing applied.X and Y coordinates change in OcrResult Class.Reduce file size of output PDF in IronOcr.How to Make an Engineering Support Request for IronOCR.