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Table Output
Frequently Asked Questions - Advanced Features
How can I handle deeply nested JSON objects?
Enable the "Flatten Nested Objects" option to transform complex nested structures into flat tables. You can customize the delimiter (default is ".") and control the maximum nesting depth. For particularly complex structures, try using the "Show Full JSON Path" option to see the complete path to each data point.
How do I work with extremely large JSON datasets?
This tool is optimized for large datasets using Web Workers and virtual rendering. For best results with very large files:
- Enable flattening to process nested structures more efficiently
- Be selective with column display - hide unnecessary columns
- Use the pagination controls to navigate through large result sets
What's the best way to prepare JSON data for Excel analysis?
For optimal Excel compatibility:
- Enable "Flatten Nested Objects" to create a completely flat structure
- Use the column manager to arrange columns in logical groupings
- Set an appropriate "Null/Undefined Text" value (like "N/A" or "0")
- Use the "Export Excel" button
How can I extract specific data from complex API responses?
To focus on specific data within complex responses:
- Convert the entire response first to see all available fields
- Use the column manager to deselect irrelevant columns
- Drag and drop to reorder columns in a meaningful sequence
- For deeply nested data, enable flattening and adjust the delimiter for readability
How do I handle arrays of objects within my JSON?
Arrays of objects are automatically expanded into rows. You can control this behavior with:
- The "Include Array Indices" option to track the original array position
- Flattening settings to control how nested arrays are processed
- Column selection to focus only on relevant fields within arrays
This makes it easy to transform JSON like arrays into a readable table.
Can I save different views of the same JSON data?
While the tool doesn't store views persistently, you can:
- Create different exports (HTML, CSV, Excel) with different column selections
- For web publishing, export the HTML of different views to embed in your content
How do I handle JSON with inconsistent structures?
JSON from some APIs may have inconsistent structures or missing fields. The converter handles this by:
- Automatically detecting all possible fields across the dataset
- Displaying your chosen "Null/Undefined Text" for missing values
- Allowing you to flatten objects to normalize structure differences
This makes it easy to compare records even when their structures vary.
What's the most efficient way to debug complex JSON structures?
For debugging complex JSON:
- Enable "Show Full JSON Path" to see exactly where values are located
- Try different flattening delimiters to make paths more readable
- Use column selection to focus only on potentially problematic fields
Is my data secure when using this converter?
Yes, your data is completely secure. This tool runs entirely in your browser on your local machine. Key security features include:
- No data is ever sent to any server - all processing happens locally in your browser
- Your JSON data never leaves your computer
- The tool works even when you're offline
- Web Workers process your data in isolated threads for added security
- No data is stored or cached between sessions
This makes the converter ideal for working with sensitive or confidential information, as there's no risk of data exposure to third parties.