How is this different from AI JSON Repair?

AI JSON Repair assumes the input is meant to be JSON, just broken. LLM JSON Extractor assumes the input is a full LLM response (prose + headings + code blocks + JSON) and needs to find and extract the JSON. Same backend model, different system prompt and intent.

What if the response contains multiple JSON blocks?

They're returned as a single JSON array containing each extracted block. So a response with two separate code fences returns [obj1, obj2].

Will it summarize or modify the JSON?

No. The system prompt explicitly forbids renaming keys, paraphrasing values, or dropping fields. The tool finds the JSON, fixes obvious syntax bugs (trailing commas, Python booleans), and returns it verbatim otherwise.

What if there's no JSON in my input?

You'll get back {"error": "No JSON found in input"}. The tool won't invent JSON to be helpful.

Why not just use a regex?

Regex breaks on nested braces, escaped quotes inside strings, and JSON mixed with prose. The AI handles all of that plus Python booleans, single quotes, and other LLM-specific quirks deterministic parsers can't.

LLM JSON Extractor (ChatGPT, Claude, Gemini)

Paste any LLM response — even one full of prose, markdown headings, code fences, summaries, and commentary — and get back just the JSON it contains, cleaned and valid. Designed for developers building on Claude / ChatGPT / Gemini APIs who need a quick paste-and-fix when JSON-mode isn't enforced. Handles multiple JSON blocks (returns them as an array), Python-style booleans, trailing commas, and the usual LLM output quirks. Built on Amazon Nova Micro.

Paste any LLM response (ChatGPT, Claude, Gemini). We extract just the JSON, strip prose and code fences, and fix common mistakes.

LLM response (prose + code fences + JSON, etc.)

243 / 12,000 chars

Clean JSON

Next useful step

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Frequently Asked Questions

How is this different from AI JSON Repair?: AI JSON Repair assumes the input is meant to be JSON, just broken. LLM JSON Extractor assumes the input is a full LLM response (prose + headings + code blocks + JSON) and needs to find and extract the JSON. Same backend model, different system prompt and intent.
What if the response contains multiple JSON blocks?: They're returned as a single JSON array containing each extracted block. So a response with two separate code fences returns [obj1, obj2].
Will it summarize or modify the JSON?: No. The system prompt explicitly forbids renaming keys, paraphrasing values, or dropping fields. The tool finds the JSON, fixes obvious syntax bugs (trailing commas, Python booleans), and returns it verbatim otherwise.
What if there's no JSON in my input?: You'll get back {"error": "No JSON found in input"}. The tool won't invent JSON to be helpful.
Why not just use a regex?: Regex breaks on nested braces, escaped quotes inside strings, and JSON mixed with prose. The AI handles all of that plus Python booleans, single quotes, and other LLM-specific quirks deterministic parsers can't.

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About LLM JSON Extractor (ChatGPT, Claude, Gemini)

Extract clean JSON from any LLM response. Strips prose, markdown code fences, and commentary. Fixes trailing commas and single quotes. Built for developers integrating with ChatGPT, Claude, or Gemini. This AI-backed tool sends your input to MarkdownMe's capped Amazon Bedrock endpoint to generate the result. No account is required. MarkdownMe provides free, fast, and reliable Markdown tools for developers, writers, and anyone who works with Markdown.