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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 advanced AI-powered tool designed to extract named entities from text. Specialized for extracting text from scanned documents, it leverages cutting-edge technology to identify and classify entities such as names, locations, organizations, and dates within unstructured or semi-structured text.

Features

• Named Entity Recognition (NER): Identifies and categorizes named entities in text. • Scanned Document Processing: Optimized to work with scanned documents, including PDFs and images. • High Accuracy: Delivers precise entity extraction even from low-quality scans. • Multilingual Support: Works with text in multiple languages, including Italian. • Integration Ready: Can be integrated into workflows or applications for seamless entity extraction.

How to use Universal Ner ITA ?

  1. Scan or Upload Document: Scan the document or upload a saved scanned file (e.g., PDF, JPG, PNG).
  2. Select Document Type: Indicate the type of document (e.g., invoice, letter, contract).
  3. Process Document: Run the document through Universal Ner ITA to extract text and identify entities.
  4. Review Results: View the extracted entities, categorized by type (e.g., names, locations).
  5. Export or Use Data: Export the results or use them directly in your application or workflow.

Frequently Asked Questions

What types of documents does Universal Ner ITA support?
Universal Ner ITA supports a wide range of scanned documents, including PDFs, images (JPG, PNG), and digitized files.

How accurate is the entity recognition?
The tool achieves high accuracy even with low-quality scans, but results may vary depending on document clarity and formatting.

Can Universal Ner ITA work with languages other than Italian?
Yes, Universal Ner ITA supports multiple languages, making it versatile for international document processing.

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