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Extract text from scanned documents
Rag Community Tool Template

Rag Community Tool Template

Find relevant text chunks from documents based on a query

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What is Rag Community Tool Template ?

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.

Features

  • Extract text from scanned documents: Easily pull text from scanned PDFs, images, or other non-editable formats.
  • AI-based query matching: The tool uses AI to find relevant text chunks that match your search query.
  • Multiple language support: Process documents in various languages, making it a versatile solution for global users.
  • Batch processing: Handle multiple documents at once, saving time and effort.

How to use Rag Community Tool Template ?

  1. Install the tool: Download and install the Rag Community Tool Template from the official repository.
  2. Upload your document: Load the scanned document or image file into the tool.
  3. Enter your query: Input the search query or keyword you want to find in the document.
  4. Run the tool: Execute the tool to extract and display the relevant text chunks.
  5. Review results: Save or copy the extracted text for further use.

Frequently Asked Questions

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.

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