Find relevant text chunks from documents based on a query
Extract text from images
Analyze PDFs and extract detailed text content
Upload and query documents for information extraction
Find relevant text chunks from documents based on queries
Search documents using text queries
Extract named entities from text
OCR Tool for the 1853 Archive Site
Query deep learning documents to get answers
Extract key entities from text queries
Extract PDFs and chat to get insights
Extract and query terms from documents
Search... using text for relevant documents
The Rag Community Tool Template is a powerful tool designed to extract text from scanned documents with precision. It leverages advanced AI capabilities to identify and retrieve relevant text chunks based on user queries. This tool is particularly useful for users who need to quickly locate specific information within scanned documents, such as PDFs or images of text.
What file formats does the tool support?
The Rag Community Tool Template supports PDF, JPG, PNG, and TIFF formats for document processing.
Can I use this tool for non-English documents?
Yes, the tool supports multiple languages, including Spanish, French, German, and more, depending on the AI model used.
How long does it take to process a document?
Processing time depends on the size and complexity of the document. Typically, it takes a few seconds to a minute for standard documents.