Deep Dive: Universal Data Converter
Multi-format data conversion requires parsing source format into intermediate representation (AST or object tree), then serializing to target format with schema mapping rules. JSON ↔ XML involves mapping objects to elements (attributes vs child elements ambiguity). JSON ↔ YAML handles indentation-based syntax vs braces, comments (YAML supports, JSON doesn't), anchors/aliases (YAML feature, JSON lacks). CSV ↔ JSON requires header row inference, type coercion (strings vs numbers), nested object flattening (dot notation). This tool chains format-specific parsers (JSON.parse, YAML parser, XML DOMParser, CSV regex) with serializers, handling edge cases: null values, mixed arrays, special characters requiring escaping. All client-side JavaScript—no server upload for API credentials, database dumps, or configuration secrets.
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Privacy Architecture
This tool uses client-side WebAssembly to ensure your data never touches a server. Secure, fast, and 100% private by design.
Core Capabilities
- 4-way conversion: JSON ↔ XML ↔ YAML ↔ CSV (16 conversion paths)
- Auto-detection via syntax analysis (braces → JSON, < → XML, indents → YAML)
- Schema validation with line-number error reporting
- Type coercion options (strings to numbers, null handling)
- Nested object flattening for CSV (dot notation: user.name → 'user.name')
- Syntax highlighting via Prism.js (language-specific color coding)
- Download as file or copy to clipboard (with MIME type detection)
- Client-side conversion libraries (no server for sensitive config files)
Why It Matters
- Format Flexibility: One tool handles 16 conversion combinations (4x4 matrix).
- Error Detection: Parser catches syntax errors before conversion (missing commas, unclosed tags).
- Type Safety: Configurable coercion prevents silent data corruption (string '123' → number 123).
- Privacy: Database credentials, API keys, secrets in config files stay local.
- Speed: Instant conversion without network round-trip or server queue.
Quick Start Guide
Select input format (auto-detected from syntax) and target output format.
Paste data—parser tokenizes, builds AST, validates schema.
Converter maps intermediate representation to target format rules.
Output appears instantly—serialized with proper escaping and formatting.
Download or copy—handles MIME types (application/json, text/yaml, text/csv).
Usage Examples
JSON to YAML (Config Files)
Scenario 01Convert API config from JSON to YAML format
{"host": "localhost", "port": 3000}host: localhost\nport: 3000
CSV to JSON (Data Import)
Scenario 02Transform spreadsheet data for API
name,age\nAlice,30\nBob,25
[{"name":"Alice","age":"30"},{"name":"Bob","age":"25"}]XML to JSON (Legacy Systems)
Scenario 03Modernize old XML data
<user><name>John</name><age>28</age></user>
{"user":{"name":"John","age":"28"}}Common Scenarios
Migrating Config Files
Switch from JSON config to YAML for your project.
API Response Transformation
Convert API data to spreadsheet-friendly format.
Database Migration Prep
Prepare CSV data for NoSQL database import.
Legacy System Integration
Bridge old XML APIs with modern JSON apps.
Questions?
Technical Architecture
Format Comparison
**JSON** (JavaScript Object Notation):\n- Native to JavaScript\n- Great for APIs and web\n- Strict syntax, easy to parse\n- Supports nested structures\n\n**YAML** (YAML Ain't Markup Language):\n- Human-readable config files\n- Indentation-based (no brackets)\n- Supports comments\n- Used by Docker, Kubernetes\n\n**XML** (eXtensible Markup Language):\n- Tag-based like HTML\n- Supports attributes\n- Used in legacy systems\n- More verbose\n\n**CSV** (Comma-Separated Values):\n- Simple spreadsheet format\n- Flat data only (no nesting)\n- Opens in Excel\n- Great for tabular data
Data Loss During Conversion
Some conversions lose information:\n\n**CSV limitations**:\n- No nested objects/arrays\n- No data types (all strings)\n- No null values (empty string instead)\n\n**JSON to XML**:\n- Array order preserved but structure changes\n- Need to choose root element name\n\n**XML to JSON**:\n- Attributes need special handling\n- Self-closing tags might confuse\n\n**Best practice**: Convert between similar formats (JSON↔YAML) to minimize loss. CSV best for simple tables only.
How Multi-Format Conversion Works
The process:\n\n1. **Parse**: Convert input string to internal object structure\n2. **Validate**: Check syntax and data integrity\n3. **Transform**: Map from one structure to another\n4. **Serialize**: Convert object back to output format string\n\nExample: JSON → YAML\n1. Parse JSON string to JavaScript object\n2. Validate it's valid JSON\n3. (Transform not needed, same structure)\n4. Serialize object as YAML string\n\nAll happens in your browser using JavaScript libraries!
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