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Convert images to text using OCR
Persian OCR is an optical character recognition tool designed to convert images and PDF files containing Persian text into editable digital text. It leverages advanced AI and machine learning algorithms to accurately recognize and extract Persian script from scanned documents, photos, or other visual sources. This tool is particularly useful for researchers, students, and professionals working with Persian-language documents, as it streamlines the process of digitizing and managing printed or handwritten content.
• Persian Language Support: Specifically optimized for recognizing Persian text, including complex scripts and fonts.
• Multi-Format Compatibility: Works with various file formats, including PNG, JPG, PDF, BMP, and more.
• Layout Preservation: Maintains the original structure and formatting of the text, including tables, columns, and headers.
• High Accuracy: Delivers precise text recognition, even with challenging fonts or low-quality images.
• Editable Output: Generates text that can be edited in word processors like Microsoft Word or Google Docs.
• Batch Processing: Allows users to process multiple files simultaneously for efficient workflows.
• Cross-Platform Compatibility: Accessible on desktops, laptops, tablets, and mobile devices.
• User-Friendly Interface: Intuitive design for seamless navigation and operation.
What file formats does Persian OCR support?
Persian OCR supports a wide range of file formats, including PNG, JPG, PDF, BMP, TIFF, and others.
How accurate is Persian OCR?
The accuracy of Persian OCR is very high, but it may vary depending on the quality of the input image or PDF. Clear, high-resolution documents yield the best results.
Can Persian OCR handle handwritten text?
Persian OCR is primarily designed for printed text. While it may recognize some handwritten text, accuracy for handwritten documents is generally lower compared to printed text.
Is Persian OCR available for mobile devices?
Yes, Persian OCR is compatible with mobile devices, allowing you to extract text on-the-go.