![]() Thankfully, many free and commercial tools (offline and online) allow OCR technology to extract text from images.Ĭurrently, OCR tools are pretty advanced due to the implementation of techniques such as intelligent character recognition (ICR), which can identify languages, handwriting styles, etc. In a simpler sense, OCR converts digital data in image format into editable word processing documents. Due to this, the extracted text can be selected, edited, or copy-pasted like regular text. Later these can reconstruct the extracted text in a machine-readable format. These tools are trained to identify the shapes of characters or numbers on an image to recognize the text in the image. ![]() For text extraction, the OCR tools (OCR libraries) employ several machine algorithms for pattern recognition to identify the presence and layout of the text in an image file. An OCR system uses a combination of hardware, such as optical scanners and software capable of image processing. An OCR program is a tool that extracts and re-purposes data from scanned documents, camera images, and image-only pdf. Commonly known as ‘Text Recognition,’ it is a popular technique for extracting text from images. The acronym ‘OCR’ stands for Optical Character Recognition. This is possible using OCR or Optical Character Recognition. We all must have used online or offline tools to convert images to editable text formats to make things easier. Such files cannot be edited directly, and there is a need to make them editable first or have a tool that can read the content from the image and extract it for further processing. Handling such data manually in these files is tedious, time-consuming, and prone to manual errors. IntroductionĪlthough plenty of digital information is available for consumption by businesses, employees still have to handle printed invoices, flyers, brochures, and forms in hard copies or textual images saved in. This article was published as a part of the Data Science Blogathon.
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