Debug Guide

How to fix invalid JSON

If you regularly paste rough payloads from logs, tickets, chat threads, or scripts, this page helps you turn almost-JSON back into valid JSON quickly.

Common sources of invalid JSON

  • - Trailing commas, single-quoted strings, and unquoted keys often come from JavaScript, Python, or hand-edited snippets.
  • - Copied log output and chat messages frequently mix in extra text, comments, or incomplete structures.
  • - Values such as `None`, `undefined`, `NaN`, or incorrectly cased booleans are not valid JSON.

Recommended repair workflow

  • - Start with JSON Repair to normalize the obvious syntax problems.
  • - Use JSON Validator next when you need precise error confirmation and locations.
  • - Continue with JSONPath Tester or JSON Diff if you need to inspect paths or compare repaired output.

Related Tools

JSON Repair

Repair common JSON syntax issues and turn broken input into valid JSON.

JSON वैलिडेटर

JSON सिंटैक्स त्रुटियों को रीयल-टाइम में पहचानें और हाइलाइट करें

JSONPath Tester

Test JSONPath expressions and inspect matched paths and results.

JSON अंतर

दो JSON ऑब्जेक्ट्स की तुलना करें और साइड-बाय-साइड तुलना के साथ अंतर विज़ुअलाइज़ करें।

Invalid JSON FAQ

Why does text that looks like JSON still fail to parse?

Because JSON is strict. Small details like trailing commas, single quotes, and unquoted keys are enough to make parsing fail.

Should I repair first or validate first?

Repair first when the input is clearly rough and copied from elsewhere. Validate next when you need exact structural confirmation.