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Extract text from scanned documents
Universal Ner ITA

Universal Ner ITA

Extract named entities from text

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What is Universal Ner ITA ?

Universal Ner ITA is an AI-powered tool designed to extract named entities from text. It is specifically optimized for extracting text from scanned documents, making it a valuable resource for users who need to identify and categorize specific entities within their documents. The tool leverages advanced AI models to recognize and classify entities such as names, locations, organizations, dates, and times.

Features

  • Named Entity Recognition: Accurately identifies and categorizes entities in text.
  • Support for Scanned Documents: Works seamlessly with scanned documents, including PDFs and images.
  • High Accuracy: Utilizes state-of-the-art AI models for precise entity extraction.
  • Customizable: Allows users to define custom entity categories if needed.
  • Multiple Format Support: Compatible with various document formats like PDF, JPG, and TXT.
  • Scalable: Suitable for processing both small and large volumes of documents.
  • User-Friendly Interface: Intuitive design for easy navigation and use.

How to use Universal Ner ITA ?

  1. Install or Access the Tool: Download and install Universal Ner ITA or access it via a web-based platform.
  2. Upload Your Document: Import the scanned document (PDF, image, or text file) into the tool.
  3. Adjust Settings (Optional): Customize settings such as language or output format if required.
  4. Run the Analysis: Click the "Process" or "Analyze" button to start extracting entities.
  5. Review Results: View the extracted entities, which may be highlighted or listed separately.
  6. Export Results: Save or export the results for further use or analysis.

Frequently Asked Questions

1. What formats does Universal Ner ITA support?
Universal Ner ITA supports multiple formats, including PDF, JPG, PNG, and TXT files, making it versatile for various document types.

2. Can Universal Ner ITA work with scanned documents?
Yes, Universal Ner ITA is optimized for scanned documents. It uses OCR (Optical Character Recognition) to extract text before identifying entities.

3. Is Universal Ner ITA available in multiple languages?
Yes, the tool supports multiple languages, including Italian, making it a valuable tool for multilingual document processing.

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