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OCR

Writer's picture: Samir GhumraSamir Ghumra

OCR, or Optical Character Recognition, is a technology that converts different types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data. The primary purpose of OCR is to recognize and extract text from these documents, making it accessible for further processing, analysis, or storage in digital formats.


Key features of OCR include:


  1. Text Extraction: OCR software analyzes the visual patterns of characters in an image or document and translates them into machine-readable text.

  2. Document Digitization: OCR enables the conversion of physical documents into digital formats, enhancing accessibility and facilitating document management.

  3. Searchable Content: Once text is extracted, documents become searchable, allowing users to find specific information quickly within a large volume of text.

  4. Data Integration: OCR-processed text can be integrated into various applications and workflows, providing opportunities for automation and improved efficiency.

  5. Multilingual Support: Advanced OCR systems can recognize text in multiple languages, broadening their applicability across diverse document types.

  6. Accuracy Improvement: Continuous advancements in OCR technology contribute to higher accuracy rates in recognizing and interpreting text, even in complex layouts or varying fonts.

OCR finds applications in a wide range of industries, including finance, healthcare, legal, and administrative sectors, where the conversion of physical documents into editable and searchable digital content is essential for productivity and compliance.

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