How to use this text tool
- Paste the text you want to inspect or load the sample.
- Choose only the options that match your prompt format.
- Select Validate Output or press Ctrl/Cmd + Enter.
- Read the summary and detailed output, then copy or download it.
LLM Output Schema Validator
Structured output is only useful when downstream code can trust its shape. Paste a JSON Schema and an LLM response to check required fields, basic types, enums, numeric limits, string lengths, arrays, and nested properties. Errors include the data path so you can repair a prompt, parser, or retry rule quickly.
Text Input
Browser-only processingAd space
What this tool does
Validate JSON from an LLM against a practical subset of JSON Schema and receive path-specific type, required-field, and enum errors.
The validator parses both JSON documents locally, then recursively applies a documented subset of JSON Schema keywords without fetching remote references.
This browser tool does not implement the entire JSON Schema specification, including remote $ref resolution and advanced conditional keywords.
Example
Load the sample, run the tool, and compare the report with the visible markers or values in the input. The output is deterministic for the selected options, so the same text produces the same report.
Use cases
- Review a prompt before it enters a shared prompt library.
- Check generated content before another program consumes it.
- Create a lightweight audit record without uploading private text.
Tips for better output
- Keep separators and labels on their own lines.
- Use the narrowest option that matches your actual format.
- Test one valid and one deliberately invalid example.
- Review every warning in the surrounding context.
- Save the original text alongside important reports.
Processing details
The validator parses both JSON documents locally, then recursively applies a documented subset of JSON Schema keywords without fetching remote references. Text remains in the current browser page during processing.
This browser tool does not implement the entire JSON Schema specification, including remote $ref resolution and advanced conditional keywords.
Frequently asked questions
Does LLM Output Schema Validator send my text to a server?
No. The processing in this page runs in your browser. Uploaded files are read locally by the page.
Can I use the result in a production prompt workflow?
Yes, but review the result first and test it with the exact model, template engine, or schema used by your application.
What happens when the input is empty or malformed?
The tool shows an input error instead of producing a misleading report. Tool-specific parsing errors include a short correction hint.
Can this tool guarantee that an AI response is safe or correct?
No. It checks the visible text using the stated rules. Model behavior, source quality, and application security still require separate review.
Is Unicode text supported?
Yes. The page accepts Unicode text, although pattern matching and token estimates may vary for scripts and formats outside the examples described.
Related text tools
Quick reference
| Item | Details |
|---|---|
| Processing | Local browser JavaScript |
| Input | Plain text or supported structured text |
| Exports | TXT, JSON, and tabular CSV when available |