If you write Python, you've probably done this: you print a dict to the console, copy it, and paste it into a JSON formatter — only to get a wall of red. A Python dict looks a lot like JSON, but it isn't JSON. Here's what's different and how to convert it without cleaning up the syntax by hand.

Python dict vs. JSON

Take this dictionary:

{
  'name': 'John Doe',
  'age': 30,
  'is_active': True,
  'nickname': None,
  'skills': ('python', 'json', 'convert'),
  'address': {
    'city': 'New York',
    'zip': '10001',
  },
}

Readable, but not valid JSON. Four things in there break a strict JSON parser:

Single quotes. JSON only allows double quotes. Python happily uses 'single quotes' for keys and strings.
None, True, False. Python capitalizes them; JSON wants null, true, false.
Tuples. (1, 2, 3) has no JSON equivalent and is usually a syntax error.
Trailing commas. Legal in Python, but the last item followed by a comma is invalid in strict JSON.

The usual workaround is tedious

The typical path is to run json.dumps(d) in a script, or paste into a tool and fix each error one at a time: replace quotes, change None to null, convert tuples to lists. It's boring and error-prone, especially for nested data.

The faster option: paste the dict into a converter that already understands Python syntax. It normalizes single quotes, None/ True/ False, tuples, and trailing commas into clean, standards-compliant JSON — all in your browser, nothing uploaded to a server.

Try it

Paste any Python dict into the Python dict to JSON converter and it produces valid JSON on the spot, with a tree view for checking the result. No setup, no script, no manual cleanup.

Python dict to JSON: why it breaks and how to convert it

Python dict vs. JSON

The usual workaround is tedious

Try it