PDF To Word Converter



Convert Scanned Documents and Images into Editable Word, Pdf, Excel and text output formats

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Convert PDF Now with faster conversion speeds, Nitro converts any PDF to and from Microsoft Word, Excel, and PowerPoint on your desktop, tablet, or phone. PDF to DOC – Convert PDF to Word Online This free online PDF to DOC converter allows you to save a PDF file as an editable document in Microsoft Word DOC format, ensuring better quality than many other converters. Click the UPLOAD FILES button and select up to 20 PDF files you wish to convert. Wait for the conversion process to finish. Convert PDF to Word using this free online PDF converter tool and make it editable Word in just five seconds, you can use our free tool for hassle-free conversions. This alert box indicates a dangerous or potentially negative action.

How to recognize text?

PDF To Word Converter
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PDF To Word Converter
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Word
Click the 'Recognize' button and then download your file with the recognized text

Optical character recognition

Change pdf to microsoft word
Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast).Widely used as a form of data entry from printed paper data records – whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation – it is a common method of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision.Early versions needed to be trained with images of each character, and worked on one font at a time. Advanced systems capable of producing a high degree of recognition accuracy for most fonts are now common, and with support for a variety of digital image file format inputs. Some systems are capable of reproducing formatted output that closely approximates the original page including images, columns, and other non-textual components.

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