What the JSON Repair demo does
- Repairs malformed JSON: fixes trailing commas, missing quotes, stray comments, and incomplete objects.
- Validates and formats: outputs pretty-printed JSON you can copy straight into your code or API calls.
- Transparent logging: see every repair step and context so you can trust the output.
- Built on json_repair, the Python package available on PyPI.
API is hosted on PythonAnywhere’s free tier; if you hit quota, try again later or run the package locally.
How to repair JSON online
- Paste malformed JSON (from webhooks, logs, or LLM responses) into the left box.
- We validate, repair, and format automatically as you type.
- Copy the valid JSON on the right or review the “repair actions” log for debugging.
Why developers use json_repair
- Handles common AI issues: hallucinated text in JSON, wrong booleans/null, broken arrays.
- Drop-in replacement for
json.loads()when you need resilient parsing. - Ideal for webhook payloads, log pipelines, and prompt engineering workflows.
Prefer code?
Install the package locally and bypass API limits.
pip install json-repair
python -m json_repairExamples we fix: trailing commas, missing quotes, stray comments, invalid true/false/null, incomplete objects.
FAQ: fixing JSON for production
Does this work for AI/LLM responses?
Yes. json_repair is tuned for messy model output: it removes prose, repairs syntax, and keeps structured data intact.
Can I trust the repaired JSON?
Every action is logged so you can review context before sending payloads to production systems.
What if I need offline or private processing?
Install the library locally (pip install json-repair) to repair sensitive JSON without hitting the public API.
How do I report issues or request features?
Open an issue on GitHub and include a sample payload; this page URL is a permalink you can reference.