Chat With Your Documents

Transform complex files into interactive conversations. Get insights, analyze data, and extract information from any document through natural dialogue.

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Why Document Analysis Through Conversation Matters

Documents contain your organization’s most valuable information, but traditional tools force you to manually search, read, and analyze them—a process that’s both time-consuming and prone to missing key insights.

Beyond Simple Search

Unlike basic document search tools that just find keywords, ChatterKB’s document analysis capabilities allow you to:

Ask complex questions about document content and receive comprehensive answers
Extract structured data from tables, charts, and formatted sections
Analyze relationships between concepts across multiple documents
Generate insights that aren’t explicitly stated but can be inferred from the content
Process information at scale across large document collections

The Conversation Advantage

Conversational document analysis transforms how you work with information:

Natural exploration lets you follow your train of thought without switching tools
Progressive refinement allows you to dig deeper with follow-up questions
Context retention means the system remembers previous questions about the document
Multi-format flexibility handles different file types within the same conversation
Insight capture lets you save valuable discoveries directlyto your knowledge base

Real-World Applications

Document analysis through conversation transforms workflows across industries:

Legal teams extract key clauses and precedents from thousands of case documents
Financial analysts query complex spreadsheets and reports through natural language
Researchers synthesize findings across multiple academic papers and datasets
Technical teams make sense of complex documentation and specifications
Customer support quickly find answers in product manuals and knowledge bases

By turning static documents into interactive knowledge sources, ChatterKB eliminates the bottleneck between information and insight.

Document Analysis

Beyond Simple Document Q&A

PDF Intelligence

Chat with PDF documents of any size or complexity. Ask questions, extract information, and get summaries without manual reading.

Handles technical documents, research papers, and lengthy reports
Extracts tables, charts, and structured data from PDFs
Maintains context across multi-page documents

Spreadsheet Analysis

Transform spreadsheets into conversations. Ask questions about your data and get instant insights without writing formulas.

Analyze Excel, CSV, and Google Sheets data through natural language
Generate charts, pivot tables, and statistical analysis on demand
Identify trends and anomalies in complex datasets

JSON & API Response Analysis

Make sense of complex JSON data through simple conversation. Perfect for API responses, configuration files, and data exports.

Navigate nested JSON structures with natural language
Extract specific values and relationships from complex objects
Transform raw data into actionable insights

Multi-Document Intelligence

Compare information across multiple documents simultaneously. Identify connections and contradictions without manual cross-referencing.

Ask questions that span multiple documents and file types
Automatically identify relationships between separate files
Create comprehensive reports drawing from diverse sources

Document Workflows

Transform document analysis into automated workflows. Extract information, process it, and take action—all from a single conversation.

Extract data points and feed them into workflows
Generate reports and summaries automatically
Create document processing pipelines with no coding

Frequently Asked Questions

ChatterKB supports a wide range of document formats including PDFs, Word documents, Excel spreadsheets, CSV files, PowerPoint presentations, JSON files, and plain text. Our system processes each format appropriately to extract both content and structure, allowing for meaningful conversations about your documents.

ChatterKB uses an intelligent chunking system that breaks large documents into manageable sections while maintaining context across the entire document. This allows you to have conversations about documents of any size—from single-page memos to thousand-page technical manuals—without losing important context or relationships.

Yes, ChatterKB's document analysis capabilities extend across multiple documents simultaneously. You can ask questions that require information from several different files, compare content across documents, or create comprehensive analyses that draw from diverse sources—all within a single conversation.

ChatterKB's spreadsheet analysis uses advanced pandas and Python processing to ensure high accuracy when extracting and analyzing tabular data. The system can handle complex formulas, pivot tables, and statistical analysis with precision comparable to dedicated spreadsheet applications, while offering the convenience of natural language interaction.

Yes, any insights generated during document analysis conversations can be saved to your knowledge base with a single click using the Save to KB feature. This transforms temporary analysis into permanent, searchable knowledge that becomes part of your organization's intelligence system.

Start Conversing With Your Documents

Transform static files into interactive knowledge that answers your questions.