JSON Repair & Validation Tool
The JSON Repair Terminal automatically fixes malformed JSON commonly output by AI agents and language models. It detects and repairs trailing commas, missing closing braces, unescaped quotes, and other syntax errors that break API consumption. Perfect for developers working with AI-generated data streams that need instant sanitization. Fully client-side - your data never leaves your browser. Free, no signup required. Use JSON Repair when you need answers fast during debugging, reviews, or incident triage. Paste your input, validate the output, then copy results into tickets or docs in seconds. Most processing runs in your browser, so you can test safely without unnecessary data exposure. Built for speed, clarity, and repeat use.
Repaired JSON
Repairs Made
How to Use This Tool
- Step 1 - Paste your broken or malformed JSON into the text area
- Step 2 - Click Repair JSON to auto-fix syntax errors, or Validate Only to check if already valid
- Step 3 - Review the minified (API-ready) and formatted (human-readable) outputs
- Step 4 - Click Copy to grab the minified version for immediate API use
Why This Method?
AI language models (like GPT, Claude, and Gemini) often hallucinate invalid JSON syntax when generating structured data. Common issues include trailing commas in arrays, missing closing brackets, and comment blocks that break strict JSON parsers. This tool implements deterministic repair algorithms that match the error patterns most frequently seen in AI outputs.
Unlike server-side validators, this tool processes everything locally in your browser using native JavaScript parsing. This means zero latency, complete privacy, and the ability to handle sensitive data without network transmission. It's particularly valuable for automated agent pipelines that need a reliable "sanitization checkpoint" before feeding data to APIs.
Pro Tip: Use the minified output for API payloads (reduces bandwidth) and the formatted output for debugging. The repairs list shows exactly what was fixed, helping you identify recurring issues in your AI prompt engineering workflow.