Free JSON Schema patternProperties Regex Validator

Free JSON Schema patternProperties Regex Validator
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Validate your JSON data against complex JSON Schema patternProperties regex definitions. Use this free, client-side tool to test patterns and debug JSON keys.

Built by@Akhenaten

What This App Does

Validate your JSON data against complex JSON Schema patternProperties regex definitions. Use this free, client-side tool to test patterns and debug JSON keys. — generated by gemini-3.0-flash and published by @Akhenaten on Slopstore. Categorized under Utility, this app is part of Slopstore's curated collection of AI-generated tools and experiments. Run it free in your browser. No installation needed.

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Technical Specification: JSON Schema patternProperties Regex Validator

1. Overview

A high-performance, browser-based utility designed for developers to test and debug patternProperties constraints within JSON Schema. The application provides immediate, visual feedback on whether a JSON object conforms to regex-based key patterns.

2. Key Features

  • Real-Time Validation Engine: Uses the industry-standard AJV library (via CDN) to perform schema validation as the user types.
  • Regex Highlighter: A specialized text area that highlights regex patterns and provides feedback if the pattern is syntactically invalid.
  • Side-by-Side Editor: A split-view interface (left for Schema/Data, right for validation results).
  • Instant Error Reporting: Detailed error messages pointing to the exact line and property where the patternProperties constraint failed.
  • Sample Data Generator: A one-click button to load a pre-configured template showing how patternProperties works with regex.
  • Zero-Latency Processing: Pure client-side execution using in-memory state only.

3. UI/UX Specification

  • Aesthetic: Premium, clean, "SaaS" light-mode design. Use a palette of #FFFFFF (background), #F8FAFC (secondary background), #334155 (primary text), and #2563EB (accent blue).
  • Typography: Inter or system-ui sans-serif fonts.
  • Layout:
    • Header: Contains the tool title and a "Clear" button.
    • Main Area: A flexible grid split into two columns. Left column contains inputs for "JSON Schema" and "JSON Object". Right column displays the "Validation Output" and logs.
    • Modals: Custom-built HTML/CSS modals for "About" or "Export" functions (no browser native alerts).
  • Interactions: Smooth CSS transitions on hover states for buttons. Subtle box-shadows on card elements to denote depth.

4. Technical Constraints & Directives

  • Single File: All HTML, CSS (Tailwind via CDN), and JS must reside in one file.
  • Storage: NO localStorage, sessionStorage, or cookies. Use only in-memory variables.
  • Libraries: Use AJV (via CDN) for JSON Schema validation. Tailwind CSS for layout.
  • Browser Environment: Must function within a sandboxed <iframe>.
    • allow-scripts is allowed.
    • allow-same-origin is NOT required.
    • allow-storage-access-by-user-activation is NOT required.
  • Responsive: Flexbox/Grid layouts must stack vertically on screens smaller than 768px.

5. Implementation Notes for Developer

  • Performance: Debounce the validation function to run 300ms after the user stops typing to avoid UI jitter.
  • Safety: Always wrap JSON parsing in a try...catch block to handle syntax errors gracefully without crashing the UI.
  • Feedback: Do not use alert(). If a user performs an invalid action, display an error alert component within the results section.

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Files being used

index.html
10.2 KB
#json schema validator#patternProperties regex tester#json regex pattern debugger#validate json schema#online json utility#json schema pattern test

Frequently Asked Questions

Everything you need to know about using this application.

What is JSON Schema patternProperties and why should I validate it?

The 'patternProperties' keyword in JSON Schema is a powerful tool used to validate object keys against specific regular expression patterns. It allows developers to enforce naming conventions or structure requirements for properties that may not be explicitly named in the schema definition. Validating these patterns is critical because incorrect regex strings can lead to unexpected validation failures or security vulnerabilities. This tool provides a dedicated environment to ensure your regex patterns match your intended JSON keys precisely, preventing runtime errors in your data processing pipelines.

How does this tool process my JSON data?

This application runs entirely client-side, meaning your JSON data, schemas, and regex patterns never leave your browser. We leverage the power of your device's local CPU to run validation libraries, ensuring that your data remains private and secure throughout the process. Because we do not use server-side processing, there is no latency associated with uploading data to a remote API. This architecture makes the validation process extremely fast and ensures that sensitive or proprietary JSON structures are not exposed to external servers.

Does this tool store my JSON schema or data?

This tool is explicitly designed with privacy and security in mind, utilizing volatile, in-memory state management only. We do not use localStorage, sessionStorage, cookies, or any database connections, which means that as soon as you refresh the page or close your browser tab, all input data is cleared. We prioritize user security by following a strict zero-persistence policy. This ensures that you can use the tool for sensitive work without leaving any traces of your data behind, effectively providing a clean, fresh state for every session you start.

Can I use this for complex nested JSON objects?

Yes, our validator engine is built to handle complex, deeply nested JSON structures with ease. The logic parses the entire JSON tree and recursively applies the specified schema rules, including complex 'patternProperties' requirements, to ensure that every object within your structure adheres to your defined constraints. Whether you are working with small configuration files or large, nested API response objects, the tool provides clear, actionable feedback on where validations fail. You can quickly isolate and fix problematic keys that do not match the expected regex patterns defined in your schema.

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