Extract named entities from text
Extract and query terms from documents
Traditional OCR 1.0 on PDF/image files returning text/PDF
Analyze scanned documents to detect and label content
Extract text from images using OCR
Analyze PDFs and extract detailed text content
Upload and analyze documents for text extraction and Q&A
Analyze legal PDFs and answer questions
Extract text from PDF and answer questions
Convert images with text to searchable documents
Extract information from documents by asking questions
Extract text from documents or images
Extract text from images using OCR
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.