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Python Dict to JSON Converter (Free AI Tool)
Convert Python dictionaries to JSON with automatic True/False/None conversion. Transform Django QuerySets, Flask API responses, and nested dicts to JSON format. Handles Python's single quote syntax and capitalized booleans.
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How It Works
- 1
Paste Python Dict with True/False/None
Paste your Python dictionary from print() output, Django QuerySet .values(), Flask jsonify() data, or any dict with Python-specific syntax including True, False, None values and single quotes.
- 2
AI Converts Python-Specific Syntax
The tool converts Python's capitalized True/False to lowercase JSON true/false, None to null, single quotes to double quotes, and removes trailing commas prohibited in JSON.
- 3
Copy JSON for REST APIs
Receive valid JSON ready for Flask/Django REST API responses, JavaScript fetch() consumption, or storing in .json files for configuration or data exchange.
Python Dict vs JSON: Syntax Comparison
| Feature | Python Dict | JSON |
|---|---|---|
| Syntax | Dict with colons | Object with colons |
| Quotes | Single or double | Double quotes only |
| Booleans | True/False | true/false (lowercase) |
| Null | None | null |
| Use Case | Django/Flask backends | REST API responses |
| Trailing Comma | Allowed | Not allowed |
Code Examples
Example 1: Simple Dict with Booleans
{
'user_id': 101,
'username': 'alice',
'is_active': True,
'is_admin': False,
'last_login': None
}{
"user_id": 101,
"username": "alice",
"is_active": true,
"is_admin": false,
"last_login": null
}Key Changes:
Python's capitalized True converts to lowercase JSON true, False to false, and None to null. Single quotes around strings ('username') become double quotes as required by JSON specification. Integer 101 remains numeric. This handles typical Django User model serialization where is_active is BooleanField and last_login can be NULL. The resulting JSON is valid for REST API responses consumed by JavaScript fetch() or mobile apps.
Example 2: Nested Dict from Django QuerySet
{
'posts': [
{'id': 1, 'title': 'Hello', 'published': True},
{'id': 2, 'title': 'World', 'published': False},
],
'total': 2,
'next_page': None,
}{
"posts": [
{"id": 1, "title": "Hello", "published": true},
{"id": 2, "title": "World", "published": false}
],
"total": 2,
"next_page": null
}Key Changes:
Nested list of dicts (posts array) converts correctly with all nested True/False/None transformations applied recursively. The trailing comma after the last list item and last object property is removed (Python allows it, JSON prohibits it). This structure is typical in Django REST Framework pagination where QuerySet.values() returns list of dicts. The next_page: None for the last page becomes null, allowing JavaScript code to check if (data.next_page === null) for pagination logic.
Frequently Asked Questions
Python's True becomes JSON true (lowercase), False becomes false, and None becomes null. The converter automatically handles Python's capitalized boolean syntax. For example, {'active': True, 'data': None} becomes {"active": true, "data": null}.
Yes. Python allows both single and double quotes for strings. The converter accepts {'name': 'John'} with single quotes and outputs {"name": "John"} with double quotes as required by JSON spec. This handles typical Python dict output from print() or repr().
Absolutely. The converter handles deeply nested Python dicts including lists within dicts and dicts within lists. Common in Django serializers and Flask API responses where models have relationships. Complex structures like {'users': [{'id': 1, 'posts': []}]} convert correctly.