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OCR System. Homepage: https://github.com/Topdu/OpenOCR
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Extract text from images using OCR
Ocr English Hindi is an Optical Character Recognition (OCR) tool designed to extract and highlight text from images, specifically focusing on English and Hindi languages. It enables users to convert image-based text into editable digital text, making it ideal for students, professionals, and researchers working with documents in these languages.
• Text Extraction: Accurately extracts text from images in both English and Hindi.
• Text Highlighting: Identifies and highlights the extracted text within the image for easy reference.
• Multi-Language Support: Seamlessly processes text in English and Hindi, catering to bilingual needs.
• Image Compatibility: Works with various image formats, including JPEG, PNG, BMP, and TIFF.
• User-Friendly Interface: Offers an intuitive design for easy navigation and quick results.
• Batch Processing: Allows users to process multiple images at once, saving time.
• High Accuracy: Ensures precise text recognition, even with complex fonts or low-quality images.
What file formats are supported by Ocr English Hindi?
Ocr English Hindi supports PNG, JPG, BMP, and TIFF file formats for image processing.
How accurate is the text recognition?
The accuracy depends on the quality of the input image. Clear images with standard fonts yield the best results, while blurry or distorted images may require manual correction.
Can Ocr English Hindi support other languages besides English and Hindi?
Currently, the tool is optimized for English and Hindi. However, updates may expand language support in the future.