Online JSON Converter for YAML, XML, CSV, TOML, JS Object, and PHP Array

1. 1

   Paste a valid JSON object, array, string, number, boolean, or null into the input area.

2. 2

   Choose YAML, XML, CSV, TOML, JS Object, or PHP Array from the format controls.

3. 3

   Adjust the options shown for the selected format, such as CSV delimiter, XML root name, or YAML indentation.

4. 4

   Review the syntax-highlighted output and any error message shown above the result.

5. 5

   Copy the converted output when it matches the next tool, config file, spreadsheet, or code snippet you need.

• Use YAML when JSON needs to become a readable configuration file or a documentation-friendly example.
• Use XML when an integration, legacy service, document feed, or partner system expects element-based markup.
• Use CSV when the goal is spreadsheet import, quick analysis, BI staging, manual review, or table-based cleanup.
• Use TOML when a tool expects configuration in TOML and the JSON root is an object.
• Use JS Object when the output is meant for JavaScript notes, fixtures, examples, or local mock data.
• Use PHP Array when a PHP project needs array syntax instead of raw JSON.

• API response conversion

  Paste an API JSON response and convert it into YAML, XML, CSV, JS Object, or PHP Array output for debugging, documentation, and test fixtures.

• Configuration migration

  Convert JSON settings into YAML or TOML when moving between tools that use different configuration formats.

• Spreadsheet preparation

  Convert arrays of JSON objects into CSV with delimiter, header, flattening, and array controls before opening the data in Excel, Google Sheets, or an analytics tool.

• Legacy integration support

  Convert JSON payloads into XML when working with services that still require XML documents or XML-style data exchange.

• Developer examples

  Turn JSON into JavaScript object literals or PHP arrays for docs, code comments, local fixtures, framework configuration, and sample data.

• Data cleanup handoff

  Flatten nested JSON into columns before handing the data to a non-developer teammate or importing it into a table-oriented workflow.

• Fixture and seed data preparation

  Prepare JSON-derived samples for frontend mocks, test data, PHP config arrays, and local development files.

• Format comparison

  Quickly compare how the same JSON shape appears as YAML, XML, CSV, TOML, JS Object, and PHP Array before choosing a final format.

When the source is a compressed API response or a log snippet, run it through JSON Formatter first so syntax issues, missing quotes, and uneven nesting are visible before conversion. If the target is a table workflow, send the CSV result to CSV Tools for delimiter checks, column cleanup, filtering, and export.

• Start with valid JSON. If the input is messy or minified, format and validate it before conversion.
• For CSV output, an array of similar objects gives the cleanest table. Mixed object shapes create a wider union of columns.
• Enable flattening when nested objects should become dot-separated CSV columns such as `user.email` or `address.city`.
• Use array expansion only when fixed array positions are meaningful as separate columns; otherwise stringify arrays to preserve their structure in one cell.
• For XML output, choose stable root and item names that match the target API, feed, or document schema.
• For TOML output, keep the root as a JSON object. Root arrays and primitive values are not useful TOML files in this converter.
• Review generated JS Object and PHP Array output before pasting it into a project, especially when strings contain quotes or backslashes.

• CSV is tabular, so nested objects and arrays need flattening, stringifying, or expansion. Some hierarchy is always simplified.
• XML element names are sanitized when JSON keys contain spaces, punctuation, or names that cannot start an XML element safely.
• XML attribute mode only treats keys such as `@id` or `_attr` as attributes. Other keys remain child elements.
• TOML conversion requires an object root and may not represent every possible JSON shape exactly the way a hand-written TOML file would.
• YAML is easier to read than JSON, but whitespace and quoting still matter when the output is used as a real config file.
• Large JSON inputs can make browser-side conversion and syntax highlighting take longer.