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JSON Studio — Formatter, Validator & Transformer

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JSON Studio — Formatter, Validator & Transformer

JSON Studio — Formatter, Validator & Transformer

Enterprise-grade JSON formatting, validation, transformation, diffing, and schema inference. Handles pretty-printing, minification, JSON-to-YAML conversion, deep key extraction, and JSON Schema generation from sample data. Ideal for API debugging, data pipelines, and developer tooling.

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Perry AY

Perry AY

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JSON Studio 🛠️

Enterprise-grade JSON Formatter, Validator, Diff Tool & Transformer

A comprehensive JSON processing utility for developers, API integrators, and data engineering teams. Handles everything from basic pretty-printing to advanced schema inference, deep object comparison, and JSONPath extraction — all in a single API call.


✨ Feature Highlights

CapabilityDescription
Pretty-printFormat JSON with configurable indentation (0-8 spaces) and optional key sorting
Strict ValidationPrecise line/column error reporting with context snippets around the failure
MinifyStrip all non-essential whitespace — compression ratio shown in response
DiffRecursive deep comparison between two JSON objects: additions, removals, and type changes
Schema InferenceAuto-generate JSON Schema draft-07 from any sample input
JSON → YAMLConvert JSON to human-readable YAML with Unicode support
FlattenTransform deeply nested objects into flat dot-notation (e.g., user.address.city)
JSONPath ExtractQuery values using dot-notation paths, array indices, and wildcards

🚀 Quick Start

Format a JSON object with sorted keys:

Input:

{
"mode": "format",
"input": "{\"zebra\": 1, \"apple\": 2, \"nested\": {\"banana\": 3, \"cherry\": 4}}",
"indentSize": 2,
"sortKeys": true
}

Response:

{
"mode": "format",
"success": true,
"output": "{\n \"apple\": 2,\n \"nested\": {\n \"banana\": 3,\n \"cherry\": 4\n },\n \"zebra\": 1\n}",
"bytes": 67,
"depth": 2,
"key_count": 4
}

📋 Input Parameters

ParameterTypeDefaultModeDescription
modeenumformatallOperation mode: format, validate, minify, transform, diff, schema, flatten, extract
inputstringall*Primary JSON text (required for all modes except diff uses both input and inputB)
inputBstringdiffSecondary JSON text for comparison
indentSizeint2formatIndentation width (0-8). Use 0 for compact, 2-4 for readability
sortKeysboolfalseformatSort object keys alphabetically before output
extractPathstring$extractJSONPath expression (e.g. $.store.books[*].title or simply key.nested[0])

📤 Output Format

Every response contains the mode and success boolean. On success, mode-specific data is included. On failure, an error message (and traceback for unexpected errors) helps you debug instantly.

Error response example:

{
"mode": "validate",
"success": false,
"error": "JSON parse error at line 1, column 5: Expecting property name enclosed in double quotes\n 1: {hello: world}\n ^--- Error here"
}

💡 Use Cases

  • API debugging — Pretty-print and validate responses during integration
  • CI/CD pipelines — Validate config files before deployment
  • Data migration — Diff source vs target data structures
  • Documentation — Auto-generate JSON Schema for your APIs
  • Data preprocessing — Flatten nested JSON for CSV/table export