Free Online Ocr

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Free OCR Tool & Word Counter. Need to convert a scanned document to text? Got an image with text you want to edit? Do your document conversion here with our free OCR tool! Feel free to upload a file and we'll extract your text immediately and give you a word count. Our free OCR can convert PDFs, Word docs, JPEG and BMP. Free Online OCR servizio ti permette di convertire documenti PDF in file di MS Word, le immagini acquisite in testo modificabile formati e di estrarre il testo da file PDF. Free Online OCR service. Onlineocr.org is a service of an online optical recognition program, we support more than 46+ languages.

Convert Scanned Documents and Images into Editable Word, PDF, Excel and Txt (Text) output formats

With our online OCR service you can convert PDF document or image to editable word file for free. Free Online OCR - online OCR converter Convert files online, free and fast! To-Text OCR converter, text extractor from images and scanned PDF documents. Great 100% free tool, especially useful for students.

How to recognize text?

Step 1

Upload file pdf

Select file, which you want to OCR from your computer, Google Drive, Dropbox or drag and drop it on the page
Step 2

Select language and output format «to doc»

Select all languages used in your document. Also choose any desired output format, for example, .doc (more than 10 text formats supported) or any other format, which you want to convert (more 200 supported formats)

Free Online Ocr Service

Convert pdf picture to text
Step 3

Convert & Download doc file

Click the 'Recognize' button and then download your file with the recognized text doc -file

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. Brew mariadb install. Some systems are capable of reproducing formatted output that closely approximates the original page including images, columns, and other non-textual components.

OCR image

Free Online OCR

i2OCR is a free online Optical Character Recognition (OCR) that extracts text from images and scanned documents so that it can be edited, formatted, indexed, searched, or translated.

  • 100+ Recognition Languages
  • Multi Column Document Analysis
  • 100% FREE, Unlimited Uploads, No RegistrationRead More ..

What is OCR?

OCR stands for Optical Character Recognition, which is a technology to recognize text in images of scanned documents and photos. With OCR, you can convert painted text in images into editable, searchable, indexable, and storable document. Applications of OCR include data entry for business documents such as invoices, bank statements, bills, business cards, receipt, mails, passport and IDs, automatic license plate recognition, conversion of scanned books into searchable documents, text to speech for blind and visually impaired users, and much more.

Demo OCR

Select image thumbnail then click the Red button to extract text using i2OCR

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