Optical Character Recognition

What is Optical Character Recognition ?

Optical Character Recognition (OCR) is a powerful technology designed to extract text from scanned documents, images, and PDF files. It enables users to convert uneditable text within images into editable, searchable, and machine-readable text. OCR is widely used in various applications, including document scanning, data entry automation, and digitization of historical records.

Features

• Text Extraction: Accurately extracts text from scanned documents, PDFs, and images.
• Multi-Format Support: Works with various file formats, including PDF, JPG, PNG, and more.
• Language Support: Recognizes text in multiple languages, enabling global usability.
• Layout Preservation: Maintains the original document's formatting, including tables and columns.
• Output Options: Provides extracted text in formats like plain text, PDF, or Word documents.

How to use Optical Character Recognition ?

1. Upload Your File: Select the scanned document, image, or PDF file you want to process.
2. Select Options: Choose the language of the text and specify the output format (e.g., text, PDF).
3. Run OCR: Initiate the OCR process to extract text from the uploaded file.
4. Preview Results: Review the extracted text for accuracy and formatting.
5. Export Data: Save the extracted text in the desired format for further use.

Frequently Asked Questions

What is OCR used for?
OCR is primarily used to extract editable text from scanned documents, images, and PDFs, enabling tasks like data entry, document archiving, and text analysis.

What file formats does OCR support?
OCR supports a wide range of file formats, including PDF, JPG, PNG, BMP, and TIFF.

Why might OCR not always be 100% accurate?
OCR accuracy can vary depending on the quality of the input image, font styles, and document layout. Improving image quality or using advanced OCR tools can enhance accuracy.