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OCR System. Homepage: https://github.com/Topdu/OpenOCR
Text Recognition is an advanced OCR (Optical Character Recognition) tool designed to extract and correct text from images. It enables users to convert image-based text into editable and searchable formats, making it ideal for digitizing documents, signs, and other written content.
• Text Extraction: Accurately extract text from images, including scanned documents, photos, and screenshots.
• Text Correction: Automatically detect and correct errors in extracted text.
• Multilingual Support: Recognize and process text in multiple languages.
• Image Enhancement: Improve image quality to optimize text recognition accuracy.
• User-Friendly Interface: Simple and intuitive design for seamless operation.
• Real-Time Processing: Swiftly analyze and extract text from uploaded images.
• Compatibility: Works with various image formats, including JPG, PNG, and BMP.
• Integration: Easily integrate with other tools and workflows for enhanced productivity.
What types of images are supported?
Text Recognition supports common image formats like JPG, PNG, and BMP. For best results, ensure images are clear and well-lit.
How accurate is the text recognition?
Accuracy depends on the image quality and clarity. High-resolution images with legible text yield better results.
Can I use Text Recognition for non-Latin scripts?
Yes, Text Recognition supports multiple languages and scripts, including non-Latin characters, depending on the selected language options.