Convert images of text into digital text
OCR System. Homepage: https://github.com/Topdu/OpenOCR
Unofficial demo for TB-OCR (OCR for documents)
NepaliOCR
Extract and translate text from images
Extract text from a PDF file
Made By FgsiDev
Extract text from handwritten images
Extract Japanese text from images
Correct skew and detect text lines in PDFs or images
Extract text from Tifinagh images
Generate text from images
A robust offline system for recognizing handwritten Hindi
OCR (Optical Character Recognition) is a technology that converts images of text into digital text. It enables users to extract editable text from scanned documents, photographs, or other image sources. OCR is widely used for digitizing printed materials, enhancing accessibility, and improving document management.
• Text Recognition: Accurately extracts text from images in multiple languages.
• Image Support: Works with various formats, including JPG, PNG, and PDF.
• High Accuracy: Delivers precise text conversion with advanced recognition algorithms.
• Editing Tools: Allows users to preview, edit, and format the extracted text.
• Integration: Supports sharing and exporting text to other applications.
What file formats does OCR support?
OCR supports common image formats like JPG, PNG, BMP, and PDF. Some advanced tools also process multi-page documents.
How accurate is OCR?
Accuracy depends on the quality of the image and the OCR engine. Clear, high-resolution images generally yield better results.
Can OCR handle handwritten text?
Most OCR tools struggle with handwritten text, but some specialized engines can recognize handwritten characters with varying degrees of success.