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Tiff to Text is designed to perform Optical Character Recognition (OCR) in a batch process. The program utilizes the OCR engine from Nuance (Owners of OMNI Page - formally ScanSoft) that is included with Microsoft Office Document Imaging (MODI).

Iron OCR fully supports any .NET Framework language, including VB.NET, C#, and F#. The key functions of Iron OCR for VB .NET are image to text, photo to text, scan to text, PDF to text, resulting in text results, barcodes, and complex document OCR

100% free OCR software to extract text from images & scanned documents with accurate OCR conversion, saving time on manual retyping. The free OCR software works with any of the popular image files of JPG, JPEG, PSD, PNG, GIF, TIFF, BMP and more.

To use Tesseract OCR in C#, we may use the Iron OCR library to automatically install all of our dependencies and provide full Tesseract 3, 4, and 5 engines directly inside our .NET application. This includes support for Linux, Mac, Windows & Azure.

MediaProSoft Free OCR is an advanced OCR tool to OCR both image and scanned PDF (generated from scanned text content) to extract text pure text to output to Microsoft Word or TXT. Get your paperless office started!

PDF OCR is based on OCR technology to convert scanned PDF paper books and documents into editable electronic text files fast and easily. PDF OCR has a build-in text editor which allows you to edit ocr result text without MS Word.

AzureOCR alternative IronOCR, Learn text & barcodes using images. OCR PDFs for.NET. Output as plain text strings or structured data OCR in any language you need. We support 127+. Licences Starting at $399

Freemore OCR is designed to extract text from the image generated from digital cameras and mobile phones along with scanners. The accurate result can then be edited and saved to TXT and Word.

Free OCR to Word creates editable and searchable MS Word or Text files from any image or scanned document within few clicks, retaining original formatting, saving you time of retyping or re-creating information unnecessarily.