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Cover image for 🧠 JSON AI Inspector: Analyzing JSON with AI (Open Source Tool)
Jaime Hernández
Jaime Hernández

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🧠 JSON AI Inspector: Analyzing JSON with AI (Open Source Tool)

#python #ai #json #opensource

🧠 JSON AI Inspector

🔗 GitHub Repo • 🌐 Live App

A free and open-source Streamlit application that brings JSON understanding to the next level — powered by Groq AI.

Whether you're working with complex APIs, debugging nested objects, or generating mock data, json-ai-inspector is your AI companion.

⚙️ Features

1. JSON Formatting

  • Pretty-printed JSON with syntax highlighting
  • Export as CSV (Excel-ready)
  • Auto-generate type definitions for:
    • Python
    • Go
    • TypeScript

2. AI Analysis (Groq Powered)

  • Ask natural language questions about your JSON
  • Receive contextual answers from the model
  • Understand deeply nested structures in seconds

3. JSON Comparison Tool

  • Drop in two JSONs and see a side-by-side difference
  • Visual diffs for changed/added/removed nodes
  • Export a full comparison report

4. Mock Data Generator

  • Generate realistic JSON mock data
  • Supports types like string, int, boolean, email, url, objectId, etc.
  • Array/type inference included
  • Export datasets for testing and seeding

🧩 Other Features

  • 🌐 English and Spanish language support
  • 🌓 Dark/Light Mode
  • 💾 History of generated or analyzed data
  • 🧠 Stateless with session memory

🚀 Quick Start

1. Clone the repository 

git clone https://github.com/json-ai-tools/json-ai-inspector.git
cd json-ai-inspector
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2. Install dependencies 

pip install -r requirements.txt
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3. (Optional) Add your Groq API key 

echo "GROQ_API_KEY=your-key-here" > .env
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4. Run the app 

streamlit run app.py
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🌍 Use Cases

  • Testing API responses and generating test data
  • Auto-generating type definitions for contracts
  • Validating JSON input/output in development pipelines
  • Quickly interpreting large or deeply nested structures

💡 Why This Tool?

Unlike simple formatters or linters, JSON AI Inspector leverages AI to actually reason about the data you're inspecting. Ask:

  • "What are the main fields in this object?"
  • "Which values are optional?"
  • "Is this data consistent across nodes?"

And more. It’s like having a JSON-savvy assistant at your side.

🤝 Contribute

This tool is still evolving. Contributions, feedback, and ideas are always welcome. Feel free to:

  • ⭐ Star the project on GitHub
  • 🐛 Open an issue or suggestion
  • 🔧 Submit a PR

Made with ❤️ by the community. Visit CodeIA.cl for more AI-powered tools.

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