What is OCR Software and how it works?
In this post, we will explore “What is OCR Software?” OCR, which stands for Optical Character Recognition, is a technology that transforms text-containing images into machine-readable text data. With OCR, you can easily edit scanned papers or written text using software like Microsoft Word and Google Docs. Embrace the power of OCR software and streamline your editing processes today!
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How OCR Works?
OCR software analyses the pattern between bold dark text and white paper which turned into a digitally scanned copy. Early OCR systems can only scan with one unique font, A new technology is emerging known as ICR systems. It can even recognize people’s handwriting. ICR is the latest technology that converts people’s handwriting into text format and editable format. Some of the companies are Google, Adobe, etc. Software that uses OCR technology are IBM Datacap, Google Document AI, AWS Textract, and Adobe Acrobat DCC, etc.
The process of OCR involves analyzing the contrast between bold dark text and the white paper on which it is printed. When a physical document is scanned, OCR software interprets the pixel patterns and identifies characters, words, and sentences. This turns the scanned copy into a digitally accessible and editable format. The early versions of OCR were limited to recognizing text in one specific font, making them less versatile.
ICR is a cutting-edge technology that combines pattern recognition, artificial intelligence, and machine learning algorithms to decipher handwriting accurately. It is being embraced by various industries, such as finance, healthcare, and education, where handwritten forms and documents were common. The ability to transform these handwritten inputs into digital text has streamlined processes and eliminated manual data entry efforts.
Benefits of OCR Software
- Enhanced Efficiency: OCR automates the data entry process, eliminating the need for manual typing. This not only saves time but also reduces the likelihood of human errors, ensuring accurate data input.
- Improved Accessibility: By converting scanned documents into editable text, OCR enables easy modifications and updates. This is particularly valuable when working with old or handwritten documents that need to be digitized and made accessible for editing.
- Quick Text Search: Once documents are converted into machine-readable text, OCR allows users to search for specific keywords or phrases within the documents. This makes it effortless to find relevant information in large volumes of digitized content.
- Streamlined Workflows: With OCR, data retrieval and processing become more efficient. Organizations can digitize and store vast amounts of data, making it readily available for analysis and decision-making.
- Cost Savings: By reducing the need for physical paper documents and manual data entry, OCR contributes to cost savings in terms of paper usage, storage space, and labor.
- Data Extraction: OCR can extract valuable information from various types of documents, such as invoices, receipts, forms, and contracts. This data can then be used for analysis, reporting, and integration with other systems.
- Language Support: Modern OCR software supports multiple languages, making it versatile and suitable for businesses operating globally.
- Better Data Accuracy: OCR technology significantly reduces the errors associated with manual data entry. This ensures higher data accuracy, which is critical for data-driven decision-making.
- Integration Capabilities: OCR software can seamlessly integrate with other software and systems, such as document management systems, enterprise resource planning (ERP) software, and customer relationship management (CRM) systems.
- Environmentally Friendly: OCR promotes paperless practices, contributing to environmental conservation by reducing paper consumption and associated waste.
- OCR software finds applications across various industries, including finance, healthcare, legal, education, and government. It has simplified document handling, digitization, and data management processes, empowering organizations to work more efficiently and make better use of their data.
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