Extract key entities from text queries
Parse documents to extract structured information
Traditional OCR 1.0 on PDF/image files returning text/PDF
Analyze scanned documents to detect and label content
Identify and extract key entities from text
Query PDF documents using natural language
Extract PDFs and chat to get insights
Convert images with text to searchable documents
Extract information from documents by asking questions
Extract text from PDF files
GOT - OCR (from : UCAS, Beijing)
Visual RAG Tool
Extract text from images using OCR
Query Parser is a powerful tool designed to extract key entities from text queries. It specializes in extracting text from scanned documents, making it an essential solution for individuals and organizations needing to process and analyze textual data efficiently.
• Entity Extraction: Identify and extract specific entities like names, dates, and keywords from text.
• Text Extraction: Convert scanned documents into readable text with high accuracy.
• Multi-Format Support: Handles various document formats, including PDF, JPG, and PNG.
• Advanced Accuracy: Leverages AI to improve text recognition and entity extraction.
• Customizable: Allows users to define specific entities or patterns to extract.
• Seamless Integration: Easily integrates with other tools for data processing and analysis.
What types of documents does Query Parser support?
Query Parser supports a wide range of document formats, including PDF, JPG, PNG, and DOCX.
How accurate is Query Parser with scanned documents?
The tool uses advanced AI algorithms to achieve high accuracy, even with poor-quality scans. For best results, ensure scans are clear and well-lit.
Do I need additional software for OCR?
No, Query Parser includes built-in OCR functionality, so no additional software is required for text extraction.