Identify and extract key entities from text
Analyze scanned documents to detect and label content
Extract text from images using OCR
Analyze legal PDFs and answer questions
Extract text from documents or images
Employs Mistral OCR for transcribing historical data
Search for similar text in documents
Analyze PDFs and extract detailed text content
Extract key entities from text queries
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Find similar sentences in text using search query
Extract handwritten text from images
Extract text from images
GLiNER-Multi-PII is a specialized artificial intelligence tool designed to extract text from scanned documents and identify key entities within the extracted text. It is particularly focused on extracting personally identifiable information (PII), making it a powerful solution for tasks that require both text recognition and entity identification. GLiNER-Multi-PII is ideal for digitizing physical documents and extracting relevant information efficiently.
• Text Extraction from Scanned Documents: High-quality OCR (Optical Character Recognition) to convert scanned or handwritten text into digital formats.
• Multi-Language Support: Ability to process documents in multiple languages, ensuring global applicability.
• Entity Identification: Advanced NLP capabilities to identify and extract personally identifiable information (PII) such as names, addresses, phone numbers, and more.
• High Accuracy: State-of-the-art algorithms ensure precise text recognition and entity extraction.
• Batch Processing: Process multiple documents simultaneously for efficient workflow management.
What file formats does GLiNER-Multi-PII support?
GLiNER-Multi-PII supports common image and document formats, including PNG, JPG, PDF, and TIFF.
Can GLiNER-Multi-PII process documents in multiple languages?
Yes, GLiNER-Multi-PII offers multi-language support, enabling text extraction and entity recognition in several languages.
How accurate is GLiNER-Multi-PII in identifying PII?
GLiNER-Multi-PII delivers high accuracy in text extraction and entity identification, but accuracy may vary depending on the quality of the scanned document and complexity of the text.