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Code to JSON Converter

Convert data from JavaScript/TypeScript objects, Python dicts, YAML, TOML, XML, and CSV/TSV into valid, formatted JSON. The converter auto-detects your input format or lets you choose manually. All processing happens in your browser — nothing is sent to a server.

اس ٹول کو کیسے استعمال کریں

Paste your code or data — Copy and paste a JavaScript object, Python dictionary, YAML document, TOML config, XML, or CSV data into the input panel.
Choose input format (optional) — The tool auto-detects the format by default. If detection is wrong, select the correct format manually from the options bar.
Adjust output settings — Set your preferred JSON indentation — choose between spaces (1–8) or tabs.
Copy the JSON output — The right panel shows the converted JSON in real time. Click the copy button to copy it to your clipboard.
Chain with other tools — Use the pipeline feature to send your JSON output to the JSON Formatter, JSON Key Sorter, or other tools for further processing.

خصوصیات

Smart Format Detection

Automatically identifies whether your input is JSON, YAML, TOML, XML, CSV, Python, or JavaScript using syntax heuristics — no manual selection needed for most inputs.

JavaScript & TypeScript Support

Handles unquoted keys, single-quoted strings, trailing commas, comments, variable declarations (const/let/var), export default, TypeScript type annotations, and 'as const' assertions.

Python Literal Parsing

Converts Python-specific syntax: True→true, False→false, None→null, single quotes→double quotes, tuples→arrays. Strips variable assignments and type annotations.

Full YAML & TOML Parsing

Uses battle-tested parsing libraries for complete YAML and TOML support including multiline strings, anchors, sections, array-of-tables, inline tables, and dates.

XML & CSV Conversion

Parses XML with attributes, CDATA, and namespaces. Converts CSV/TSV with auto-delimiter detection, header row support, and automatic number/boolean type inference.

Client-Side Processing

All conversion happens locally in your browser. Your data never leaves your machine — safe for proprietary code, API keys, and sensitive configuration files.

حقیقی استعمال کے کیسز

Migrating Configuration Files

Convert YAML or TOML config files to JSON for tools and APIs that require JSON input, such as VS Code settings, package.json, or AWS CloudFormation templates.

Extracting Data from Source Code

Pull hardcoded JavaScript objects or Python dictionaries from source code into standalone JSON files for externalized configuration or data migration.

API Development & Testing

Convert sample data from CSV exports, XML responses, or YAML fixtures into JSON request/response bodies for API testing with tools like Postman or curl.

Converting Legacy Data Formats

Transform XML data feeds, CSV reports, or TOML configs from older systems into JSON for consumption by modern JavaScript/TypeScript applications.

اکثر پوچھے گئے سوالات

How does auto-detection decide the input format?

The tool tries parsing as JSON/JSONC first, then checks for XML tags, TOML section headers, YAML key-value patterns, CSV delimiters, and Python-specific tokens (True, False, None). If none match strongly, it defaults to JavaScript mode.

Can it handle JavaScript with comments and trailing commas?

Yes. The JS/TS parser supports single-line (//) and block (/* */) comments, trailing commas in arrays and objects, and unquoted property keys — all common patterns in real-world JavaScript code.

Does it convert Python tuples to JSON arrays?

Yes. Python tuples like (1, 2, 3) are converted to JSON arrays [1, 2, 3]. It also converts True→true, False→false, None→null, and single-quoted strings to double-quoted.

Is my data sent to a server?

No. All parsing and conversion happens entirely in your browser using client-side JavaScript. Your code and data never leave your machine.

What YAML features are supported?

Full YAML support including multiline strings (block and flow scalars), anchors and aliases, complex mapping keys, nested structures, and all YAML data types.

Can I convert CSV with different delimiters?

Yes. The CSV parser auto-detects delimiters including commas, tabs, and semicolons. The first row is treated as headers, and numeric and boolean values are automatically parsed from strings.