Python dict to JSON converter

This Python dict to JSON converter is a free online tool that converts a Python dictionary (dict) to valid JSON and converts JSON back to Python. It handles the three Python literals that RFC 8259 does not allow — True, False, and None — plus single quotes, tuples, trailing commas, and hex numbers. Paste a dict, a repr() output, or a JSON document. The page rewrites it in the other dialect and shows the result in a copy-ready panel, a tree view, a table, the dedicated JSON Viewer, or Diff Checker. Nothing is uploaded: conversion runs in this tab, and the last five results are stored in IndexedDB on this device. Use it when a log line or a REPL paste fails in json.loads. For plain Python literals, a script can use ast.literal_eval followed by json.dumps. This converter also recognizes a limited set of datetime, list, tuple, set, and dict representations without executing Python code. First published January 2026.

This project focuses on copied log and debugger data: a small supported syntax, local processing, and a result you can inspect before using it. Read how the converter works and what it cannot preserve, or check the project updates.

To JSON accepts a Python dict or JSON and writes JSON. Click JSON / dict → Python for pretty Python from JSON or a dict paste. After convert, switch the processed pane to Tree or Table when you want to walk the shape instead of the text. Use JSON Viewer for a larger foldable view with line numbers, or Diff Checker to inspect a second version. See Privacy for how this tool handles your data.

For a plain Python literal that json.dumps() can serialize, use the json module:

import ast
import json

paste = "{'active': True, 'tags': ('python', 'json')}"
obj = ast.literal_eval(paste)
print(json.dumps(obj, indent=4))

This example writes True as true and the tuple as a JSON array. Standard json.dumps() needs an explicit conversion for sets or datetimes, while this browser tool maps supported set and datetime representations to arrays and ISO-8601 strings.

Updated 19 October 2026.

Learn the syntax behind conversion, read nested JSON, and understand what changes between two documents.

Start with a working example: tuples and sets, a copied datetime, or text with an apostrophe. Each opens in the editor; press Convert to inspect the result.

• Python dict vs JSON: the syntax differences that matter
• Convert a Python dict to JSON with json.dumps()
• Convert Python True, False, and None to JSON
• Convert JSON to a Python dict
• Save a Python dict as a JSON file
• Fix Python JSON serialization errors
• ast.literal_eval() vs eval() for pasted data
• Format and minify JSON safely
• How to read nested JSON in a viewer
• JSON diff vs text diff: what counts as a change?
• How to compare two API JSON responses
• Fix double-encoded JSON without stripping backslashes
• Read JSON Lines in Python and locate a broken record
• Preserve large IDs and decimal precision in JSON
• Missing, null, and empty JSON values in API responses
• JSON Unicode escapes, newlines, and literal backslashes