JSON to Markdown Converter: Convert Your Data Instantly!

This tool can process standard JSON and NDJSON (newline-delimited JSON) formats. It automatically detects the format and handles arrays, objects, nested structures, and primitive values. Complex JSON with deeply nested objects can be processed up to the depth limit you set in the options.

For large datasets, you can:

• Use the "Filter Top-Level Keys" option to include only the columns you need
• Enable "Pretty Print Padding" for better readability in complex tables
• Set an appropriate depth limit to prevent overly complex nested data display
• For extremely large datasets, consider breaking them down into smaller chunks

The "Table-focused" strategy works best when your data consists of arrays of similar objects.

This advanced feature transforms deeply nested JSON structures into a flat key-value format using dot notation for paths. For example:

{
  "user": {
    "profile": {
      "name": "John"
    }
  }
}

becomes:

{
  "user.profile.name": "John"
}

This is useful for complex hierarchical data that would otherwise be difficult to represent in a table or list format.

Table-focused: Best for collections of similar objects, creating a structured table with columns and rows.

List-focused: Ideal for arrays or hierarchical data, presenting information as bullet points or numbered lists.

Key-Value: Perfect for configuration-like data or when you want to preserve the exact hierarchy of your JSON.

Raw Code Block: Maintains the original JSON structure but formats it as a Markdown code block, useful for documentation.

Yes, the converter can escape Markdown special characters (like *, _, |, etc.) that might otherwise be interpreted as formatting instructions. Each strategy has an "Escape Markdown Chars" option that you can toggle. This ensures your data displays correctly even if it contains syntax that would normally be interpreted by Markdown parsers.

Yes, the converter automatically detects and processes NDJSON files, which contain multiple JSON objects separated by newlines. This is useful for log files, streaming data, or large datasets split into multiple objects. The converter will treat NDJSON as an array of objects when applying your chosen strategy.

Under "General Formatting," you can select how boolean values should be displayed (true/false, Yes/No, ✔/✘, etc.) and how null values should be represented (empty string, N/A, dash, etc.). This helps make your Markdown more readable and can align with your documentation standards or personal preferences.

Yes, all processing occurs entirely on your own computer. This tool processes your JSON data locally in your browser. No data is ever sent to any server, stored in cookies, or shared with third parties. Your sensitive JSON data never leaves your device, making this tool safe for private, confidential, or proprietary information.