JSON GPT Processor

Getting Started

The JSON GPT Processor is a powerful web application that allows you to analyze and extract information from JSON data using natural language prompts. This guide will walk you through the basic features and how to use the application effectively.

The main interface of the JSON GPT Processor

Interface Overview

The application consists of four main components:

JSON Input Area: A large text field where you can paste your JSON data
Prompt Input Field: Where you enter your natural language instructions
Process Button: Initiates the analysis of your JSON data
Results Area: Displays the processed output and generated jq query

Basic Usage

1. Enter Your JSON Data

Start by pasting your JSON data into the main input area. The application accepts any valid JSON format.

The JSON input field where you paste your data

Tip: You can modify the JSON directly in the input field if needed.

Example of modifying JSON data directly in the input field

2. Enter Your Processing Instructions

In the prompt field, enter a natural language description of what you want to extract or analyze from the JSON data.

The prompt input field

Example prompts:

list all names
find the highest value
count total items

Example of an entered prompt

3. Process the Data

Click the "Process JSON" button to analyze your data according to your prompt.

The Process JSON button initiates the analysis

4. View Results

The results will appear in the output area below the input fields. The application will display:

The extracted or analyzed information
The generated jq query used to process the data

Example of processed results showing the extracted data

Troubleshooting

Common Issues and Solutions

Invalid JSON Error

Ensure your JSON is properly formatted
Check for missing commas or brackets
Validate your JSON using the built-in validator

Unclear Results

Try to be more specific in your prompt
Break down complex queries into simpler steps
Review the generated jq query for insight into the processing

Performance Issues

Consider reducing the size of very large JSON files
Break up complex queries into smaller parts
Clear the browser cache if the application becomes slow

Best Practices

JSON Structure

Use consistent naming conventions
Keep the structure as flat as possible
Use appropriate data types for values

Prompts

Be specific and clear in your instructions
Use simple language
Start with basic queries before attempting complex analysis

Data Management

Keep a backup of your original JSON
Test modifications on a small sample first
Review the results carefully before proceeding with large-scale changes

User Documentation

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