OCR

What is OCR ?

OCR (Optical Character Recognition) is a technology used to extract text from images, scanned documents, or handwritten notes. It enables the conversion of non-editable text into editable and searchable digital text, making it easier to work with, store, and analyze.

Features

• Text Extraction: Extracts text from images, PDFs, and scanned documents.
• Multi-Language Support: Recognizes text in multiple languages.
• Layout Preservation: Maintains the original formatting and structure of the text.
• High Accuracy: Delivers precise text recognition, especially with pre-processed images.
• Integration: Works seamlessly with other tools and applications.
• User-Friendly: Offers an intuitive interface for easy use.
• Batch Processing: Allows processing multiple files at once for efficiency.

How to use OCR ?

1. Upload the Image: Load the image file (e.g., JPG, PNG, PDF) into the OCR tool.
2. Select Options: Choose language, page range, and other settings as needed.
3. Pre-Process Image (Optional): Adjust brightness, contrast, or remove noise for better accuracy.
4. Run OCR: Click the "Extract Text" or "Recognize Text" button.
5. Save or Copy Text: Copy the extracted text or save it as a document (e.g., TXT, DOCX).

Frequently Asked Questions

What file formats does OCR support?
OCR supports common image formats like JPG, PNG, BMP, and PDF. Some advanced tools may also support TIFF and other specialized formats.

Why is OCR accuracy sometimes low?
Accuracy can vary due to image quality, font styles, and background noise. Pre-processing the image or using advanced OCR engines like Tesseract can improve results.

Can OCR handle multiple languages?
Yes, most modern OCR tools support multiple languages and can detect text in multiple languages within a single document.