Identify and extract key entities from text
Process documents and answer queries
Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract PDFs and chat to get insights
Extract text from PDF and answer questions
Extract text from PDF files
Extract and query terms from documents
Find similar text segments based on your query
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Search information in uploaded PDFs
Search documents and retrieve relevant chunks
Extract text from images
Search documents using semantic queries
GLiNER-Multi-PII is an advanced AI-powered tool designed to extract and identify key entities from text, particularly focused on personally identifiable information (PII). It specializes in accurately extracting sensitive data from various sources, including scanned documents, making it an essential tool for data processing, privacy compliance, and information management.
• Multi-language support: Processes text in multiple languages, ensuring global applicability.
• High accuracy: Advanced AI algorithms ensure precise extraction of PII from scanned or digital documents.
• Entity recognition: Identifies and categorizes different types of PII, such as names, addresses, phone numbers, and more.
• OCR integration: Works seamlessly with OCR (Optical Character Recognition) tools to extract text from scanned documents.
• Customizable: Allows users to define specific entities or patterns to suit their needs.
• Fast processing: Quickly processes large volumes of text, making it ideal for bulk data extraction tasks.
What languages does GLiNER-Multi-PII support?
GLiNER-Multi-PII supports a wide range of languages, including English, Spanish, French, German, and many others, making it a versatile tool for global users.
How accurate is GLiNER-Multi-PII with poor-quality scans?
While GLiNER-Multi-PII is highly accurate, the quality of the input scan can affect results. For best performance, ensure scans are clear and well-lit before processing.
What types of PII can GLiNER-Multi-PII extract?
GLiNER-Multi-PII can extract a variety of PII, including names, addresses, phone numbers, email addresses, and identification numbers, depending on the input text.