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OCR System. Homepage: https://github.com/Topdu/OpenOCR
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Text Recognition, powered by advanced OCR (Optical Character Recognition) technology, extracts and converts text from images into editable digital text. It enables users to capture text from various sources, such as scanned documents, photos, or handwritten notes, and allows for further editing and sharing. This tool is particularly useful for digitizing printed materials, automating data entry, and streamlining workflows.
• High Accuracy: Extract text with precision, even from low-quality or skewed images.
• Multi-Language Support: Recognize and convert text in multiple languages to cater to global users.
• Text Editing: Modify and correct extracted text directly within the tool.
• File Formats: Supports PNG, JPG, PDF, BMP, and more for versatile use.
• User-Friendly Interface: Designed for ease of use, with intuitive controls and quick processing.
1. What image formats does Text Recognition support?
Text Recognition supports popular formats including PNG, JPG, BMP, PDF, and others, ensuring compatibility with most image files.
2. How accurate is the text recognition?
Accuracy depends on the image quality. High-quality, well-lit images with clear text yield the best results. The tool also supports manual corrections for any errors.
3. Can I extract text from handwritten notes?
Yes, Text Recognition can extract text from handwritten notes, though accuracy may vary based on handwriting clarity and style.
4. What file formats can the extracted text be saved in?
Extracted text can be saved as TXT, PDF, DOCX, or copied directly to the clipboard for further use.
5. Is the tool suitable for scanning documents?
Yes, Text Recognition is ideal for scanning documents, whether it's a single page or multiple pages, and provides clean, editable output for efficient processing.