> ## Documentation Index
> Fetch the complete documentation index at: https://docs.narada.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Document Analyzer

> Query and extract information from documents using natural language

# Document Analyzer

**Document Analyzer** is a powerful tool that enables you to query and extract information from documents. Whether you're looking to summarize content, extract specific data points, or understand complex material, Narada's analyzer can interpret your natural language instructions to provide the insights you need.

## Overview

Narada's Document Analyzer is a powerful tool that enables you to query and extract information from documents. Whether you're looking to summarize content, extract specific data points, or understand complex material, Narada's analyzer can interpret your natural language instructions to provide the insights you need.

## Using the Document Analyzer

<Steps>
  <Step title="Upload Your Document">
    Provide the document you want to be analyzed by clicking the attachment button on the bottom left corner of the chat window.

    <Check>
      Multiple document formats are supported for comprehensive analysis.
    </Check>
  </Step>

  <Step title="Pose Your Query">
    Ask specific questions or make requests about the document using natural language.

    <Frame style={{ width: "50%", margin: "0 auto" }}>
      <img src="https://mintcdn.com/naradaai/V_hKSzoFuGmkr-Yj/images/document-analyzer-example.png?fit=max&auto=format&n=V_hKSzoFuGmkr-Yj&q=85&s=21021259f063f9f99dcc78eb8bfbe34d" alt="Document analyzer interface showing query input and analysis results" width="877" height="620" data-path="images/document-analyzer-example.png" />
    </Frame>
  </Step>

  <Step title="Get Insights">
    Narada will process your request using its document analyzer capabilities and provide you with the information or summary you asked for.
  </Step>
</Steps>

## Supported Document Types

<Tabs>
  <Tab title="Text Documents">
    **Text-Based Files**

    * **PDF files** - Documents, reports, manuals
    * **Word documents (.docx)** - Proposals, contracts, letters
    * **Text files (.txt)** - Plain text documents, notes
    * **PowerPoint presentations (.pptx)** - Slides, presentations, proposals
  </Tab>

  <Tab title="Spreadsheets & Data">
    **Data Files**

    * **Excel files (.xlsx)** - Spreadsheets, financial data, lists
    * **CSV files** - Data exports, contact lists, analytics
    * **TIFF files** - Scanned documents, technical drawings
  </Tab>

  <Tab title="Images">
    **Visual Documents**

    * **Image files** (JPG, PNG, GIF) - Screenshots, charts, diagrams
    * **Scanned documents** - Paper documents converted to images
    * **Charts and graphs** - Visual data representations
  </Tab>
</Tabs>

## Analysis Capabilities

<CardGroup cols={2}>
  <Card title="Content Summarization" icon="file-text">
    Generate comprehensive summaries of long documents
  </Card>

  <Card title="Data Extraction" icon="database">
    Extract specific information, dates, numbers, and key facts
  </Card>

  <Card title="Question Answering" icon="circle-question">
    Answer specific questions about document content
  </Card>

  <Card title="Format Recognition" icon="eye">
    Understand tables, charts, and structured data within documents
  </Card>
</CardGroup>

## Query Examples

<Tabs>
  <Tab title="Summarization">
    **Document Summaries**

    ```
    "Summarize the main points of this report"
    ```

    ```
    "What are the key findings in this research paper?"
    ```

    ```
    "Give me an executive summary of this proposal"
    ```
  </Tab>

  <Tab title="Data Extraction">
    **Specific Information**

    ```
    "Extract all dates and events mentioned in this document"
    ```

    ```
    "Find all contact information in this file"
    ```

    ```
    "List all financial figures mentioned"
    ```
  </Tab>

  <Tab title="Analysis Questions">
    **Targeted Queries**

    ```
    "What are the risks identified in this contract?"
    ```

    ```
    "How does this year's performance compare to last year?"
    ```

    ```
    "What recommendations are made in the conclusion?"
    ```
  </Tab>
</Tabs>

## Advanced Features

<AccordionGroup>
  <Accordion title="Multi-Document Analysis">
    **Analyzing Multiple Documents**

    Upload multiple related documents to:

    * Compare information across documents
    * Find connections and relationships
    * Generate comprehensive insights from multiple sources
    * Identify discrepancies or contradictions
  </Accordion>

  <Accordion title="Structured Data Recognition">
    **Understanding Document Structure**

    Narada recognizes and interprets:

    * Tables and spreadsheet data
    * Charts and graphs
    * Headers and sections
    * Lists and bullet points
    * Footnotes and references
  </Accordion>

  <Accordion title="Context-Aware Analysis">
    **Intelligent Understanding**

    The analyzer provides:

    * Context-sensitive interpretations
    * Understanding of domain-specific terminology
    * Recognition of document types and purposes
    * Appropriate response formatting based on query type
  </Accordion>
</AccordionGroup>

## Document Size and Limitations

<Note>
  Narada can handle documents up to 20MB in size. For optimal performance,
  consider breaking very large documents into smaller sections if detailed
  analysis is needed.
</Note>

<Steps>
  <Step title="File Size Limit">
    Maximum file size: **20MB per document**
  </Step>

  <Step title="Processing Time">
    Larger documents may take longer to analyze - typically a few seconds to
    minutes
  </Step>

  <Step title="Query Specificity">
    More specific queries yield better, more targeted results
  </Step>
</Steps>

## Best Practices

<CardGroup cols={2}>
  <Card title="Clear Queries" icon="bullseye">
    Ask specific questions for more accurate and relevant responses
  </Card>

  <Card title="Document Quality" icon="medal">
    Higher quality documents (clear text, good scans) produce better results
  </Card>

  <Card title="Context Provision" icon="info">
    Provide context about what you're looking for to get targeted insights
  </Card>

  <Card title="Iterative Approach" icon="repeat">
    Start with broad questions, then drill down into specific details
  </Card>
</CardGroup>

## FAQs and Troubleshooting

<AccordionGroup>
  <Accordion title="Supported Formats">
    **Q: Can Narada analyze any document type?**

    A: Narada can analyze .csv, .docx, .pdf, .pptx, .txt, .tiff, .xlsx, and any image files.
  </Accordion>

  <Accordion title="File Size Limits">
    **Q: Is there a limit to the size of the document Narada can analyze?**

    A: Narada can handle documents up to 20MB in size.
  </Accordion>

  <Accordion title="Query Specificity">
    **Q: How specific do my queries need to be?**

    A: The more specific your query, the better Narada can provide accurate and relevant information. Vague queries may lead to broad results, so clarity is key.
  </Accordion>

  <Accordion title="Data Privacy">
    **Q: How is my document data handled?**

    A: Documents are processed securely and are not stored after analysis. Narada maintains strict privacy and security standards for all uploaded content.
  </Accordion>
</AccordionGroup>

<Note>
  If your question isn't covered here, our support team at
  [support@narada.ai](mailto:support@narada.ai) is always eager to help.
</Note>

***

Narada's Document Analyzer is designed to enhance your productivity and understanding by providing deep insights into your documents. If you encounter any issues or have further questions, please don't hesitate to reach out. We're here to ensure your experience is as efficient and informative as possible.