Find relevant text chunks from documents based on a query
Extract text from multilingual invoices
Find information using text queries
Extract text from images using OCR
Upload images for accurate English / Latin OCR
Search documents using semantic queries
Extract text from images
Using Paddleocr to extract information from billing receipt
Query deep learning documents to get answers
Traditional OCR 1.0 on PDF/image files returning text/PDF
Gemma-3 OCR App
Extract text from images with OCR
Search information in uploaded PDFs
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.