Find relevant text chunks from documents based on a query
Analyze scanned documents to detect and label content
Process text to extract entities and details
Extract named entities from text
Ask questions about a document and get answers
Extract PDFs and chat to get insights
Query deep learning documents to get answers
Search... using text for relevant documents
Find relevant legal documents for your query
Extract handwritten text from images
Perform OCR, translate, and answer questions from documents
Identify and extract key entities from text
Extract text from multilingual invoices
The Rag Community Tool Template is an open-source tool designed to help users extract relevant text chunks from scanned documents based on specific queries. It leverages advanced AI capabilities to identify and retrieve meaningful information efficiently, making it a powerful resource for document analysis.
• Text Extraction: Extract specific text segments from scanned documents using a query-based approach. • Query-Based Search: Define your search criteria to pinpoint relevant information quickly. • Integration Ready: Designed to work seamlessly with other tools and workflows for enhanced productivity. • Document Flexibility: Supports various document formats, including scanned PDFs and images. • Accuracy: AI-powered engine ensures high precision in text extraction. • Speed: Process documents rapidly, even for large volumes. • Customization: Tailor extraction settings to match your specific needs.
What is Rag Community Tool Template?
Rag Community Tool Template is an AI tool for extracting specific text from scanned documents using queries.
Can I customize the extraction process?
Yes, the tool allows customization of extraction settings to better match your needs.
What document formats are supported?
It supports scanned PDFs, images, and other common document formats.