OCR stands for Optical Character Recognition. It's a technology that converts images of text into machine-readable text.
How OCR Works:
- OCR software analyzes the image of a document.
- It identifies the characters, symbols, and layout of the text.
- The software then converts these elements into a digital text file.
Applications of OCR:
OCR has many applications in different fields:
- Document Digitization: Converting paper documents to digital formats for easy storage and retrieval.
- Data Entry: Automating data entry by extracting text from scanned documents.
- Text Recognition in Images: Identifying and extracting text from images, such as photos or screenshots.
- Accessibility: Making printed materials accessible to people with visual impairments.
- Search and Indexing: Enabling search engines to index and retrieve text from images.
Examples of OCR Software:
- Google Docs: Offers OCR functionality for scanning documents and converting them to text.
- Adobe Acrobat: Provides OCR features for converting PDF files to editable text.
- ABBYY FineReader: A powerful OCR software for converting scanned documents and images to text.
OCR Testing:
Testing OCR software involves evaluating its accuracy, speed, and ability to handle different document types.
- Accuracy: Testing how well the software identifies and converts characters correctly.
- Speed: Measuring the time it takes to process a document.
- Document Types: Assessing the software's ability to handle various formats, languages, and font styles.
