Is my data private when using LLM JSON Repair & Validator?

Yes. Code Station operates completely client-side without external telemetry, uploads, or server proxies. Your data never leaves your device.

Can AI agents use LLM JSON Repair & Validator?

Yes. LLM JSON Repair & Validator supports browser-native WebMCP (Web Model Context Protocol) and local stdio MCP servers via codestation-mcp for automated workflows.

AI & Prompt Engineering

LLM JSON Repair & Validator

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Station 25

AI & Prompt Engineering

In-browser token estimation, LLM JSON repair, prompt template interpolation, vector geometries, and pattern builder.

LLM JSON Repair & Syntax Fixer

Automatically strips markdown fences, fixes Python literals, repairs comments, quotes keys, and balances truncated braces.

Output Indentation

✓

Valid RFC-8259 JSON Repaired Successfully

Stripped markdown code fences (```json)Stripped conversational preamble before JSON structureConverted Python/JS literals (True/False/None/undefined)Replaced single quotes and backticks with valid double quotesQuoted unquoted object keysRemoved trailing commas in objects and arrays

Original Malformed Input (190 chars)

Repaired Clean Output (154 chars)

{
  "name": "code-station-agent",
  "active": true,
  "retryCount": 3,
  "debug": null,
  "tags": [
    "nextjs",
    "typescript",
    "in-browser"
  ]
}

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What does this tool do?

LLM JSON Repair & Validator: malformed llm json text, output indentation → repaired valid json, side-by-side diff view, applied syntax repairs summary, rfc-8259 validation status. Process locally in your browser. Inputs: Malformed LLM JSON text, Output Indentation. Outputs: Repaired valid JSON, Side-by-side diff view, Applied syntax repairs summary, RFC-8259 validation status.

How to use it?

Provide the listed input and choose Execute. Review the result, then copy or download where available. Clear removes inputs and results.

Browser-local processing. No uploads, content logging, persistence or remote resource loading. Generated markup is inert text; files are treated as untrusted data.

100% in-browser AI & prompt processing. Token estimation, JSON repair, vector metrics, and prompt construction run entirely in client memory with zero server uploads or external LLM API calls.

Repair malformed LLM outputs: strips markdown fences, fixes Python literals (True/False/None), strips comments, quotes unquoted keys, removes trailing commas, and balances truncated braces/brackets.