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2. Optical character recognition - Wikipedia

   en.wikipedia.org/wiki/Optical_character_recognition

   Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. 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 ...

3. Intelligent character recognition - Wikipedia

   en.wikipedia.org/wiki/Intelligent_character...

   Intelligent character recognition (ICR) is used to extract handwritten text from images. It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents. [1]

4. Poppler (software) - Wikipedia

   en.wikipedia.org/wiki/Poppler_(software)

   poppler-utils is a collection of command-line utilities built on Poppler's library API, to manage PDF and extract contents: pdfattach – add a new embedded file (attachment) to an existing PDF; pdfdetach – extract embedded documents from a PDF; pdffonts – lists the fonts used in a PDF

5. How to scan documents, text on iPhone: Upload and share ... - AOL

   www.aol.com/news/heres-scan-documents-text-apple...

   How to scan text on iPhone. iOS 15.4 brought a new level to scanning on iPhones and iPads when it introduced the scan text feature.. With this tool, you can scan your written grocery list or to ...

6. Document capture software - Wikipedia

   en.wikipedia.org/wiki/Document_capture_software

   By converting paper documents into digital format through scanning, organizations convert paper into image formats such as TIF, JPG, and PDF, and also extract valuable index information or business data from the document using OCR technology. Digital documents and associated metadata can easily be stored in the ECM in a variety of formats.

7. Data extraction - Wikipedia

   en.wikipedia.org/wiki/Data_extraction

   Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...