Skip to main content

Data Dump Node

The Data Dump node extracts and analyzes content from various file types using AI-powered analysis. It processes uploaded files to extract text, analyze content, and generate structured metadata, making it ideal for document processing, content analysis, and data extraction workflows.

Data Dump node

Basic Usage​

Use the File Uploader, Data Dump, and Display Text nodes for your document processing workflow.

Inputs​

The Data Dump node accepts the following inputs:

  • File Input: The file to be processed (supports various formats including PDF, images, videos, and documents).
  • Custom Analysis Prompt: Optional custom instructions for AI analysis of the file content. Use this to guide the AI's analysis focus (e.g., "Extract key points", "Summarize main topics", "Identify action items").

Outputs​

The Data Dump node provides multiple outputs for flexible data handling:

  • File Title: The name of the uploaded file.
  • File Type: The MIME type or format of the file.
  • Extracted text (Raw): Raw text content extracted from the file.
  • AI Analysis: AI-generated analysis based on the custom analysis prompt or default analysis.
  • Metadata (JSON): Structured metadata about the file in JSON format.
  • Full Report (JSON): Complete analysis report including all extracted data and analysis results in JSON format.

Configuration​

AI Model for Analysis​

Select the AI model to use for content analysis:

  • GPT-5 Mini: Fast and efficient option for document analysis.
  • GPT-4o: Advanced model for complex document understanding.
  • GPT-4o-mini: Balanced performance and cost.
  • Other supported models: Additional AI models available in your LearningFlow instance.

Max Characters to Extract​

Specify the maximum number of characters to extract from the file:

  • Default: 80000 characters
  • Range: Adjust based on your needs and credit usage considerations
  • Higher values allow more content extraction but may consume more credits

Analysis Options​

Enable additional analysis capabilities:

  • Enable Image Analysis: When checked, the node will analyze images within documents or image files themselves, providing descriptions and insights about visual content.
  • Enable Video Analysis: When checked, the node will analyze video files, extracting information about video content, scenes, and key moments.

Example Workflows​

Document Content Extraction and Analysis​

Scenario: Create a system that extracts and analyzes content from uploaded PDF documents.

Data Dump Example

Steps to Create the Flow:

  1. Start with the Start Node.

  2. Add and connect a File Uploader to allow users to upload documents.

  3. Add and connect a Data Dump node:

    i. Connect the File Uploader's Output to File Input

    ii. Configure Custom Analysis Prompt (optional):

    • Example prompt:
    Analyze this document and provide:
    1. A brief summary of the main topics
    2. Key findings or important points
    3. Any action items or recommendations mentioned

    iii. Select AI Model for Analysis (e.g., GPT-4o-mini for balanced performance)

    iv. Set Max Characters to Extract (e.g., 80000 for full document processing)

    v. Enable Analysis Options as needed:

    • Check "Enable Image Analysis" if the document contains diagrams or charts
    • Check "Enable Video Analysis" if processing multimedia documents

  4. Add Display Text nodes to show different outputs:

    • One for AI Analysis
    • One for Extracted text (Raw) if needed
    • One for File Title and File Type information

Result: Users receive comprehensive analysis and structured data from uploaded files, enabling automated document processing and content understanding.