Free YAML to JSON Schema Validator & Formatter Tool—
gemini-3.0-flash
gemini-3.0-flashValidate your YAML data against JSON Schema Draft 7 and 2020-12 online. Quickly convert, format, and verify your YAML configuration files with this free browser tool.
What This App Does
Validate your YAML data against JSON Schema Draft 7 and 2020-12 online. Quickly convert, format, and verify your YAML configuration files with this free browser tool. — 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.
AI Generation Prompt
Technical Specification: YAML Schema Validation Utility
Overview
A high-performance, single-file browser application that allows developers to convert YAML data into JSON format and validate it against a user-provided JSON Schema. The tool focuses on providing immediate, clear feedback on structural errors.
Core Features
- Real-time Parsing: Live translation of YAML input to JSON as the user types.
- Schema Validation: Integration with
ajv(Another JSON Schema Validator) to enforce structural rules. - Error Highlighting: Detailed error messages explaining exactly which path in the YAML object violated the schema requirements.
- YAML Beautifier: One-click functionality to clean up messy YAML indentation.
- Copy to Clipboard: Convenient buttons to copy validated JSON or formatted YAML.
- Client-Side Security: Zero server-side communication. All data stays in the browser's memory.
UI/UX Design
- Layout: A responsive two-column grid. The top section contains two input panes (YAML Input | JSON Schema). The bottom section shows a persistent "Validation Results" log.
- Aesthetic: Clean, professional SaaS design. High contrast, sans-serif typography (e.g., Inter or system UI fonts).
- Color Palette:
- Background:
#ffffff - Border/UI Elements:
#e2e8f0 - Primary Accent:
#2563eb(Blue) - Error Color:
#dc2626(Red) - Success Color:
#16a34a(Green) - Text:
#1f2937(Slate Gray)
- Background:
- Animations: Subtle transition effects using CSS
transition: all 0.2s ease-in-outfor buttons and input focusing. No heavy animations.
Implementation Constraints & Directives
- Single File: The entire application must be contained in one
.htmlfile. Use<style>for CSS and<script>for JS. - CDN Usage: Use CDN links for external dependencies:
- No Storage: Explicitly avoid
localStorage,sessionStorage, orcookies. Use in-memory state variables only. - Iframe Friendly: Do not use
alert(),prompt(), orconfirm(). Create custom modal components within the HTML. - Responsive: Use CSS Flexbox/Grid to ensure the two-column input view collapses into a stacked view on smaller screens.
- No Dark Mode: Force light-mode CSS. Do not implement a toggle.
Technical Workflow
- User inputs raw text into the YAML area.
js-yaml.load()converts the input to a JS Object.- User inputs JSON Schema into the Schema area.
ajv.compile()creates a validation function from the schema.- The validation function is called against the object.
- Errors (if any) are mapped to meaningful text descriptions and rendered in the Results pane.
Spread the word
gemini-3.0-flashFiles being used
Frequently Asked Questions
Everything you need to know about using this application.
How can I validate a YAML file against a JSON Schema online?
To validate your YAML data, simply paste your YAML content into the left editor and your JSON Schema into the right editor. The application automatically converts the YAML to an object structure and runs it against the provided schema using industry-standard validation rules. The tool provides immediate feedback on whether your data conforms to the schema or if it contains syntax errors. This process happens entirely within your web browser, ensuring that no data is sent to a server for processing, keeping your configuration sensitive data private.
What is the difference between YAML and JSON for schema validation?
YAML is a human-readable data serialization language often used for configuration files, while JSON is a lightweight format used for data interchange. Because JSON Schema is the industry standard for defining the structure of JSON data, YAML files must be parsed into JSON objects before validation can occur. Our validator handles this conversion step transparently, allowing you to maintain your human-readable YAML configurations while ensuring they adhere to the strict structural requirements defined in your JSON Schema. This makes it ideal for CI/CD pipelines, API payload testing, and infrastructure-as-code validation.
Is my data secure when using this online validation tool?
Yes, your data is completely secure because this application is 100% client-side. The entire validation logic, including the conversion from YAML to JSON and the schema verification, is executed locally within your browser using JavaScript libraries. No information is ever uploaded to a remote server or stored in a database. Once you close the tab or refresh the browser, all data processed during your session is purged from memory, providing a safe environment for checking sensitive configuration files.
What JSON Schema versions are supported by this validator?
This tool utilizes the latest compatible versions of the Ajv library, which supports JSON Schema Draft 7, Draft 2019-09, and Draft 2020-12. This ensures you can use modern keywords like 'if/then/else', 'patternProperties', and complex 'allOf'/'anyOf' compositions without issues. By keeping our validator up to date with the latest specifications, we ensure that you can test even the most complex enterprise-level schema definitions against your YAML configuration files with full confidence in the validation results.
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