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What can you do with it?

Transform any unstructured text, documents, or data into clean, structured JSON objects. Perfect for data extraction, API integration, standardizing business documents, and automated data processing. The command intelligently analyzes content and creates appropriate JSON structures based on your requirements.

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How to use it?

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Basic Command Structure

/json-structure [content] [optional-parameters]

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Parameters

Required:
  • content - The unstructured text or data to structure
Optional:
  • file - File URL containing data to structure (supports PDF, Word, Excel, CSV, XML, HTML)
  • schema - Desired JSON structure or schema to follow
  • instructions - Specific instructions for how to structure the data

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Response Format

The command returns: 
{
  "structured_data": "Clean JSON representation of your content",
  "metadata": {
    "source_type": "text or file",
    "processing_time": "time taken"
  }
}

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Examples

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Basic Usage

/json-structure
content: John Smith, age 35, lives in New York and works as a software engineer earning $120k annually
Extract structured data from unstructured text into a clean JSON object.

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Advanced Usage

/json-structure
file: quarterly_sales_report.pdf
schema: {"quarter": "", "revenue": 0, "regions": [], "products": []}
instructions: Extract sales data by region and product line
Structure data from a file using a specific schema for consistent formatting.

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Specific Use Case

/json-structure
content: Meeting on Jan 15 with Sarah and Mike. Discussed Q1 budget of $50k and project timeline ending March 31. Action items: Sarah to review contracts, Mike to update dashboard
Convert meeting notes into structured format with participants, dates, budget, and action items.

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Notes

Supports various file types including PDF, Word, Excel, CSV, XML, and HTML. When no schema is provided, AI intelligently determines the most appropriate structure. Returns pure JSON without additional text or formatting. Ideal for converting legacy documents, standardizing data from multiple sources, and creating API-ready data structures.
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