AI JSON Formatter

How to do it

1. Paste the raw AI response, including any prose or code fences, into AI JSON Repair.
2. Let local repair strip code fences, comments, single quotes and trailing commas.
3. Format the cleaned JSON for review, or send it to JSON Validator before parsing in production code.
4. Use the AI fallback only when local rules cannot rebuild the broken structure.

Why AI JSON output needs its own formatter

Large language models almost never return strict JSON on the first try. ChatGPT, Claude and Doubao routinely wrap output in triple-backtick code fences, add a sentence of explanation before or after the payload, use JavaScript-style single quotes, leave a trailing comma after the last array item, or insert // and /* */ comments for clarity. A traditional JSON formatter assumes valid input and fails on the first quirky character.

An AI JSON formatter is a workflow rather than a single button. It repairs the response first, then prettifies the cleaned data, then validates the result. Skipping the repair step is the most common reason developers get stuck in a loop of SyntaxError messages when integrating model output into a typed system.

What this workflow handles automatically

AI JSON Repair on this site is tuned for the patterns we see most often in production prompts, tool calls and structured-output endpoints.

• Triple-backtick markdown fences with or without the json language label.
• Single quotes around keys and string values from copied JavaScript objects.
• Trailing commas after the last item in arrays and objects.
• Inline // and /* */ comments left over from sample code.
• Smart quotes (curly quotes) pasted from chat UIs and rich text editors.
• Leading or trailing prose such as 'Here is the JSON you asked for'.

Difference from a plain JSON formatter

A plain JSON formatter requires a valid JSON value as input. If you feed it raw model output, you usually see Unexpected token at the first non-JSON character. The AI workflow accepts messy text, runs deterministic local repair first, and only falls back to a model when the structure is too broken for rules to recover.

If you already have clean JSON, use the JSON Formatter directly. AI JSON Repair returns the same output for clean input but adds an extra step you do not need.

Examples

Here is the JSON you asked for:
        
        ```json
        {
          "name": "Ada",
          // primary contact
          "emails": ["ada@example.com",],
        }
        ```

{
          "name": "Ada",
          "emails": [
            "ada@example.com"
          ]
        }

{
          “model”: “doubao”,
          “temperature”: 0,
        }

{
          "model": "doubao",
          "temperature": 0
        }

Recommended tool

Related guides

FAQ