Extracts hindi and english text from images
Made By FgsiDev
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A robust offline system for recognizing handwritten Hindi
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OCR System. Homepage: https://github.com/Topdu/OpenOCR
Extract text from images using OCR
The HINGLISH OCR Model is a specialized Optical Character Recognition (OCR) solution designed to extract text from images containing both Hindi and English languages. It is tailored for bilingual documents, scans, or photographs, making it ideal for users needing to process mixed-language content. The model also includes a feature to highlight search terms within the extracted text, enhancing usability for specific keyword searches.
• Bilingual Support: Extracts text from images containing both Hindi and English scripts. • Mixed Language Handling: Seamlessly processes documents with intermixed Hindi and English text. • Search Term Highlighting: Highlights specific search terms within the extracted text for easy reference. • Image Compatibility: Works with various image formats, including JPEG, PNG, and BMP. • Customizable Accuracy: Allows users to adjust settings for improved text recognition in low-quality images.
What types of images can the HINGLISH OCR Model process?
The model supports various image formats, including JPEG, PNG, BMP, and TIFF. It works best with clear, high-resolution images.
Does the HINGLISH OCR Model require an internet connection?
Yes, if using the cloud-based API. Offline functionality depends on the specific deployment method.
How accurate is the HINGLISH OCR Model in extracting text?
Accuracy depends on image quality. Clear images with legible text yield the best results. Adjusting settings can improve accuracy for low-quality images.