LLM 출력을 위한 JSON 복구 도구를 만들었습니다. 그 이유는 다음과 같습니다.

You ask an LLM for JSON. You get this:

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json
{
“name”: “test”,
“valid”: True,
“items”: [1, 2,

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markdown

Three problems in one response: markdown fences the LLM wasn’t supposed to add, True instead of true (Python literal), and the response was cut off mid-array.

JSON.parse() throws on all three. A linter tells you what’s wrong. But you’re left fixing it manually.

I kept hitting this wall so often that I built a dedicated repair pipeline: AI JSONMedic.

Why existing tools don’t cut it

JSONLint / JSONFormatter — great for valid-ish JSON with one missing comma. Not built for LLM failure modes: they flag errors but don’t repair them.

jsonrepair (npm) — solid library, handles many cases. AI JSONMedic actually uses it as a last-resort fallback. But it doesn’t tell you what it changed, and doesn’t handle all the LLM-specific cases we needed.

The 14 failure modes we target

Through building this, we catalogued how LLMs specifically break JSON:

1. Markdown fences — `json wrapping the output
2. Trailing commas — [1, 2, 3,] (the model “runs out” of items but adds one more comma)
3. Python literals — True, False, None instead of true, false, null
4. Single quotes — {'key': 'value'} instead of double quotes
5. Smart quotes — "key" (curly quotes from copy-paste)
6. Unclosed brackets — truncated at max_tokens mid-array or mid-object
7. Unclosed strings — "value without closing
8. Concatenated objects — {"a":1}{"b":2} when streaming produces multiple chunks
9. NDJSON — newline-delimited JSON that needs wrapping
10. Python-style comments — # this is a comment inside JSON
11. JavaScript-style comments — // inline or /* block */
12. Escaped backslashes — \\n instead of \n
13. Duplicate keys — same key appearing twice (ambiguous — we warn, not silently pick)
14. BOM / encoding issues — UTF-8 BOM at start of response

What makes the repair pipeline different

Each pass targets one failure mode. The order matters — strip fences first, then normalize quotes, then fix commas, then close truncated structures. Each change is tracked.

The result isn’t just a fixed JSON blob — it’s a diff showing exactly what changed:

`
✅ Removed markdown code fence (`json … `)
✅ Converted Python literal: True → true
✅ Closed truncated array (added missing `]`)
`

That explanation is half the value when you’re debugging a production pipeline.

100% client-side

The repair runs entirely in your browser. Your production payloads never leave your machine. Open the Network tab — there’s no request for the repair itself.

JSON Studio

Beyond repair, there’s a full JSON toolbox:

• Format / minify
• Validate with error highlighting
• Tree view
• Diff two JSON blobs
• Convert: JSON ↔ CSV, YAML, XML, SQL
• JSONPath query
• JSON Schema generation
• TypeScript type generation
• JWT decode

We’re launching on Product Hunt July 23

If you find it useful — or find broken JSON it doesn’t handle — I’d love to hear about it.

Check it out on Product Hunt →

Launching Wednesday July 23 — would mean a lot if you upvoted on the day. And if you paste in broken JSON that beats the repair engine, I’ll add a pass for it.