Search documents and retrieve relevant chunks
Extract text from images with OCR
Identify and extract key entities from text
Extract information from documents by asking questions
Employs Mistral OCR for transcribing historical data
Query PDF documents using natural language
AI powered Document Processing app
Traditional OCR 1.0 on PDF/image files returning text/PDF
Analyze documents to extract and structure text
Extract handwritten text from images
Process documents and answer queries
Extract and query terms from documents
GOT - OCR (from : UCAS, Beijing)
The Rag Community Tool Template is a specialized tool designed to extract and search text from scanned documents. It integrates seamlessly with Retrieval-Augmented Generation (RAG) systems, enabling users to search documents and retrieve relevant chunks of text efficiently. This template is ideal for workflows involving document analysis, research, and data extraction.
What file formats are supported?
The tool supports PDF, JPEG, PNG, and TIFF formats for document uploading.
Can I use this tool without RAG integration?
Yes, the Rag Community Tool Template can be used as a standalone tool for text extraction and search.
How accurate is the text extraction from scanned documents?
The accuracy depends on the quality of the scanned document. Clear, high-resolution scans typically yield the best results.