Only the real world does not always have machine-printed, high-resolution text. Similarly, Tesseract OCR works with machine-printed, high-resolution, perfect text. However, in reality, the various products are often rigid and inaccurate that fail in real-world applications. IronOCR is the Difference Between Market-Competitive and Market Leading If you are looking to convert real-world images with 99 percent accuracy - read on how IronOCR lets you build an efficient, accurate, scalable, and almost-human OCR application. This is why, in addition to building other success stories, IronOCR extends Google Tesseract with IronTesseract - a native C# OCR library. For example, the removal of an image will not work if an input PDF contains a single scanned image on a page.IronOCR - Your Go-to #C Tesseract OCR to Process Imperfect Imagesĭo you feel Google Tesseract needs improved stability and accuracy? You cannot use this method for an arbitrary document. Īfter that, the code properly recognizes the phrase “Program Guide” at the right. BackgroundColor = new PdfRgbColor ( 255, 255, 255 ) options. Using System using System.IO using System.Text using using Tesseract namespace OCR // Save PDF page as high-resolution image PdfDrawOptions options = PdfDrawOptions. For example, do the following on Ubuntu 20.04: On Linux install or compile projects “libleptonica-dev” and “libtesseract-dev”. On Windows install Microsoft Visual C++ 2015-2019 Redistributable Tesseract requires additional configuration in the target operating system: The version 4.0.0 contains many issues and does not work in a. It’s important to use Tesseract version 4.1.0 or newer ( ). (.NET wrapper that uses native Tesseract 4.1.0).NET wrapper for it to recognize text on step 3.Ĭreate a new Console App (.NET Core) C# project and add Docotic.Pdf and Tesseract NuGet packages to the project: You may get a free time-limited license key here to try the library without the trial mode restrictions. ![]() In the trial mode, the library reads only half of the pages and adds a warning to PDF pages. Use Docotic.Pdf library to perform steps 1 and 2. Convert pages of the document to high-resolution images.Check that the PDF document does not contain regular searchable text.And the recognition process should work without an Internet connection. NET Standard to support Windows, Linux, and macOS. You need to perform OCR automatically and extract the recognized text. You have a non-searchable PDF document in the English language. Let’s look at how to perform OCR and extract text from PDF documents in a C# and VB.NET applications. Also, optical recognition is much slower than the extraction of text from searchable documents. Results depend on the document’s quality and the recognition algorithm. OCR does not guarantee correct results in 100% of cases. You need to perform optical character recognition (OCR) to extract text from non-searchable PDF documents. Non-searchable PDF documents may also render text as vector paths without using fonts or special PDF operators. A typical example is a scanned PDF document. Non-searchable documents usually render text as a raster image. There are also non-searchable PDF documents. ![]() Many PDF libraries can extract text from searchable PDF documents. Searchable PDF documents render text using special PDF operators and contain correct mappings of glyphs to Unicode in font objects associated with the text. We know such documents as “searchable PDF”. Open a document in any PDF viewer, then select and copy some text. highlight, or delete, or replace a word or a phrase.index the document for full-text search.You would need to extract text from a PDF document if you want to: ![]() Text extraction is one of the most popular PDF processing tasks.
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