1. Debugging Malformed JSON
When working with JSON from APIs or configuration files, use the Auto Repair feature first to fix common formatting issues, then use Format/Validate to ensure correctness.
When working with JSON from APIs or configuration files, use the Auto Repair feature first to fix common formatting issues, then use Format/Validate to ensure correctness.
Press Ctrl+Enter (or Cmd+Enter on Mac) while in the input area to quickly format your JSON.
This tool can handle large JSON files efficiently. The textarea automatically resizes, and you can use the browser's built-in search (Ctrl+F) to find specific content.
Copy API responses directly into the tool to validate structure and format. This is especially useful for debugging REST API integrations.
You can paste Python print() output directly and use Auto Repair to convert it to valid JSON. This includes handling Python's None, True, False values and dict/list prefixes.
{'key': 'value'}
- Single quotesNone
→ null
True/False
→ true/false
dict: {...}
- Remove prefixUse this tool to clean up configuration files like package.json, tsconfig.json, or any other JSON-based config files.
When migrating data between systems, validate JSON structure before import to avoid runtime errors.
Always validate and sanitize JSON data, especially when it comes from external sources or user input.
Format JSON consistently before committing to version control to avoid unnecessary diffs and merge conflicts.
Integrate JSON validation into your development workflow and automated testing pipeline.