CHAT B
Search documents using text queries
Process text to extract entities and details
Extract text from multilingual invoices
Upload and query documents for information extraction
Search for similar text in documents
Traditional OCR 1.0 on PDF/image files returning text/PDF
Find relevant passages in documents using semantic search
Find similar sentences in text using search query
Next-generation reasoning model that runs locally in-browser
Find similar text segments based on your query
Search documents using semantic queries
Upload and analyze documents for text extraction and Q&A
CHAT 1997 is an AI-powered tool designed to extract and search text within scanned documents and PDFs. It provides a chatbot-like interface that allows users to interactively search and retrieve specific information from their documents, making it easier to work with digital content. CHAT 1997 is a specialized solution for extracting text from scanned materials, ensuring that users can access and manipulate the information they need efficiently.
• Text Extraction: Extracts text from scanned documents and PDFs with high accuracy.
• Search Functionality: Enables users to search for specific text within extracted content using a chat-like interface.
• Support for Scanned Documents: Built to handle scanned documents, including those with OCR (Optical Character Recognition) capabilities.
• Interactive Chat Interface: Provides a user-friendly interface to interact with your documents.
• Precision Search: Allows users to find exact phrases or keywords within large documents quickly.
What file formats does CHAT 1997 support?
CHAT 1997 supports PDFs and scanned documents in various formats, including JPEG and PNG.
Can CHAT 1997 handle handwritten text in scanned documents?
While CHAT 1997 is optimized for scanned documents, handwritten text may not be accurately recognized unless processed through OCR beforehand.
How quick is the search functionality?
The search functionality is designed to be fast and responsive, providing results in real-time as you type your query.