Extract named entities from text
Process text to extract entities and details
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Traditional OCR 1.0 on PDF/image files returning text/PDF
Upload images for accurate English / Latin OCR
Search... using text for relevant documents
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AI powered Document Processing app
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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.
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.