What is Optical Character Recognition (OCR)?
Optical Character Recognition (OCR) is a technology that converts different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
OCR works by analyzing the patterns of light and dark that make up the letters and numbers in an image. It then uses complex algorithms to recognize and interpret these patterns as text characters.
Modern OCR systems often incorporate machine learning and neural networks to improve accuracy, especially when dealing with diverse fonts, handwritten text, or low-quality images. OCR bridges the gap between physical and digital information, making printed text machine-readable.
Applications of OCR in AI workplaces?
OCR has numerous applications in AI-driven workplaces:
- Document digitization: Converting physical documents into searchable digital formats.
- Data entry automation: Extracting information from forms and invoices directly into databases.
- Text-to-speech applications: Enabling reading of printed text for visually impaired individuals.
- Automated sorting and routing of mail and documents.
- License plate recognition for parking and security systems.