Extract text from images using OCR
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ViLanOCR is an Optical Character Recognition (OCR) tool designed to extract text from images, scanned documents, and other visual sources. It leverages advanced AI technology to recognize and convert handwritten or printed text into editable digital text, making it a valuable tool for document processing and data entry tasks.
• Accurate Text Recognition: ViLanOCR uses cutting-edge OCR algorithms to deliver high accuracy in text extraction.
• Multi-Language Support: Process documents in multiple languages, breaking language barriers for global users.
• Image Preprocessing: Automatically enhance image quality to improve OCR accuracy, even for blurry or low-resolution images.
• Format Flexibility: Supports extraction from various image formats, including JPG, PNG, BMP, and PDF.
• Integration Ready: Easily integrate with other applications for seamless workflow automation.
• User-Friendly Interface: Simple and intuitive design for quick setup and operation.
Optional: Use image preprocessing tools to enhance image quality before extraction for better results.
What formats does ViLanOCR support?
ViLanOCR supports major image formats like JPG, PNG, BMP, and PDF.
Is ViLanOCR available on mobile devices?
Currently, ViLanOCR is available on desktop platforms. Mobile support is planned for future updates.
Can ViLanOCR handle handwritten text?
Yes, ViLanOCR supports handwritten text recognition, though accuracy may vary depending on the quality of the handwriting and image clarity.
How do I improve OCR accuracy?
To improve OCR accuracy, ensure high-quality images, use image preprocessing tools, and select the correct language option. For scanned documents, use a higher DPI setting when scanning.
Does ViLanOCR support multi-column layouts?
Yes, ViLanOCR can handle multi-column layouts and retains the formatting during text extraction. For best results, ensure the image is clear and well-aligned.
How do I save the extracted text?
Once the text is extracted, you can copy it to the clipboard or save it in formats like TXT, DOCX, or PDF, depending on the application's export options.