A robust offline system for recognizing handwritten Hindi
text detection
Convert images to text using OCR
Extract text from a PDF file
Extract text from vehicle number plates
Consist of HOG LR, CRNN, and TrOCR
Extract text from manga images
Extract text from images or sketches
Extract text from PDFs
Extract and overlay text on PDFs
OCR System. Homepage: https://github.com/Topdu/OpenOCR
Extract text from images
Convert images of text into digital text
Hindi Offline Handwritten OCR is a robust offline system designed to recognize handwritten Hindi text from images. It leverages advanced optical character recognition (OCR) technology to accurately convert handwritten scripts into editable digital text. This tool is particularly useful for individuals and organizations needing to digitize handwritten Hindi documents without internet connectivity.
• Offline functionality: No internet connection required for text recognition.
• Handwritten Hindi support: Accurately recognizes Devanagari script in various handwriting styles.
• High accuracy: Advanced algorithms ensure precise text recognition.
• Multi-image support: Process multiple images or pages in a single session.
• User-friendly interface: Easy-to-use design for quick scanning and text extraction.
• Compatibility: Works with popular image formats like JPG, PNG, and BMP.
1. What devices does Hindi Offline Handwritten OCR support?
Hindi Offline Handwritten OCR is compatible with Android and Windows devices.
2. Is the OCR 100% accurate?
While the OCR offers high accuracy, minor errors may occur due to poor image quality or unclear handwriting. Manual correction is recommended.
3. Can I use this tool without an internet connection?
Yes, Hindi Offline Handwritten OCR works entirely offline, making it ideal for use in areas with limited connectivity.