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JSON to Dict ConverterPython Dict Input
JSON Output
Enter Python Dict data to convert to JSON
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Python Dict to JSON Converter
Convert Python dictionary format to JSON
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How to convert Python dict to JSON online – step-by-step guide
Use this online Python dict to JSON converter to transform dictionary objects, list data, or config content into standard JSON format for APIs and cross-language compatibility.
Step 1 – Paste Python dict syntax
- Paste Python dictionary or list syntax into the left editor.
- Supports single quotes, None, True/False, tuples, and nested structures.
- You can paste output from Python scripts, config files, or data structures directly.
Step 2 – Review the conversion
- The JSON output appears on the right with proper double quotes, null instead of None, and JSON boolean values.
- Tuples are converted to JSON arrays, and nested dict/list structures are preserved.
- Check that all data types are correctly transformed to JSON-compatible formats.
Step 3 – Handle edge cases
- Custom Python objects (classes) are not supported—convert them to basic dict/list structures first.
- Complex types like datetime should be serialized to strings before conversion.
- Escape sequences and special characters are handled in the JSON output.
Step 4 – Use the JSON output
- Copy the JSON to send to REST APIs, store in databases, or use in JavaScript/TypeScript apps.
- Download as a .json file for configuration or data exchange.
- Use with JSON Schema validators or code generators for type-safe implementations.
Quick tips for Python dict conversion
- Make sure the pasted text is valid Python literal syntax (not full scripts with imports or functions).
- Only basic types (dict, list, tuple, str, int, float, bool, None) can be converted directly to JSON.
- After conversion, validate or format the JSON before sending it to APIs or storing it in config files.
Example: Python dict to JSON
# Python dict input
{
'name': 'Maeve Winters',
'age': 28,
'active': True,
'tags': ('developer', 'backend'),
'metadata': None
}
// JSON output
{
"name": "Maeve Winters",
"age": 28,
"active": true,
"tags": ["developer", "backend"],
"metadata": null
}Related Python & JSON tools
Work with Python data structures and JSON using these complementary conversion and code generation tools.
JSON Formatter
Format and validate the JSON output for better readability.
JSON to Python Classes
Generate Python dataclasses or Pydantic models from JSON for the reverse workflow.
JSON Schema Generator
Create JSON Schema definitions from converted JSON for validation and documentation.
JSON to TypeScript Types
Generate TypeScript interfaces from JSON for frontend development.
Frequently Asked Questions
What Python dict syntax is supported?
Supports standard Python dictionary and list syntax including single quotes, None, True/False values, nested structures, and tuples (converted to arrays).
How are Python data types converted?
None → null, True/False → true/false, single quotes → double quotes, tuples → arrays. Numbers and strings are preserved with proper JSON formatting.
Can I paste Python code directly?
Yes. You can paste Python dict definitions, list results, or any Python data structure that evaluates to a dict or list.
What about complex Python objects?
Only basic data types are supported: dict, list, tuple, str, int, float, bool, None. Custom objects need to be converted to basic types first.
Is my data secure?
Yes, all data processing happens entirely in your browser. Your Python data is converted locally and never sent to any server, ensuring completely private and secure conversion.