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Image Captioning
Arabic Nougat

Arabic Nougat

Extract text from images or PDFs in Arabic

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What is Arabic Nougat ?

Arabic Nougat is an AI-powered tool specialized in image captioning and text extraction, primarily designed to extract text from images or PDFs in Arabic. It leverages advanced OCR (Optical Character Recognition) technology to accurately recognize and convert Arabic text from visual formats into editable digital text.

Features

• AI-Powered Text Recognition: Utilizes cutting-edge AI algorithms to accurately extract Arabic text from images or PDFs.
• Arabic Script Support: Engineered specifically to handle the unique characteristics of the Arabic language, including right-to-left text and complex font styles.
• High Accuracy: Delivers precise text extraction, even from low-quality or distorted images.
• Multi-Format Compatibility: Works with various file formats, including JPG, PNG, PDF, and more.
• User-Friendly Interface: Designed for ease of use, allowing even non-technical users to extract text efficiently.
• Integration Capabilities: Can be integrated into workflows or applications for automated text extraction tasks.

How to use Arabic Nougat ?

  1. Upload Your Image or PDF: Open the tool and upload the image or PDF file containing Arabic text.
  2. Select Options: Choose any specific settings or configurations if needed (e.g., language preference, output format).
  3. Process the File: Click the "Process" or "Extract Text" button to initiate the OCR process.
  4. View Results: The extracted text will be displayed in a readable, editable format for further use.

Frequently Asked Questions

What file formats does Arabic Nougat support?
Arabic Nougat supports common image formats like JPG, PNG, and PDF files.

How accurate is the text extraction?
The accuracy is highly dependent on the quality of the input image. For clear, high-resolution images, accuracy is typically very high.

Can Arabic Nougat handle other languages besides Arabic?
No, Arabic Nougat is specifically designed for Arabic text extraction and may not perform well with other languages.

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