About JSON → Python Dict

Convert JSON to a valid Python dict literal (True/False/None). Part of the DevTools Surf developer suite. Browse more tools in the Converters collection.

Use Cases

• Python developers converting API JSON responses into Python dict literals
• Django developers generating settings dictionaries from JSON configuration
• Data scientists converting JSON test fixtures into Python test data
• Backend devs pasting Python-compatible dict literals into REPL sessions

Tips

• Paste JSON to convert true/false/null to Python's True/False/None literals
• String quoting is preserved and compatible with Python 3 syntax
• Use the output directly in Python scripts or Django settings files

Fun Facts

• Python's True and False became keywords in Python 3 (2008). In Python 2, True and False were built-in constants that could be reassigned — True = 0 was valid code.
• Python's None is a singleton object — there is only one None instance in memory. The 'is' operator checks identity, which is why 'x is None' is preferred over 'x == None'.
• JSON's null, true, and false are case-sensitive lowercase; Python's None, True, and False are capitalized — this mismatch is the most common reason for JSON parse errors in Python.

FAQ

Is the output valid Python?

Yes — paste directly into any `.py` file. Booleans become `True`/`False`, nulls become `None` (capital-T Python conventions).

What about single vs double quotes?

Python convention — single quotes by default for string literals. Toggle to double if your project's style guide requires them.

Are f-strings used?

No — literal string values only. The tool generates data, not code with interpolation. For f-strings, edit the output manually.

How does it handle large numbers?

Integer and float as Python literals. Very large numbers pass through as-is (Python handles arbitrary precision natively, unlike JavaScript).