Data Format Converter | JSON YAML CSV XML

Data Format Converter

Convert between JSON, YAML, CSV, and XML formats

The Data Format Converter is a client-side tool that bidirectionally converts between JSON, YAML, CSV, and XML formats, with a Swap button to quickly reverse the conversion direction.

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Frequently Asked Questions

How do I convert JSON to YAML online?

Select JSON in the From dropdown and YAML in the To dropdown, paste your JSON into the input field, then click Convert. The tool parses the JSON and emits equivalent YAML with proper indentation and block-scalar formatting. You can also swap the direction to convert YAML back to JSON with the Swap Formats button.

Is my data safe when converting between formats in this tool?

Yes. The Data Format Converter runs entirely in your browser using JavaScript. Your data is never uploaded to or processed by any external server. This makes it safe to convert production config files, internal data exports, or data containing personally identifiable information.

How do I convert a JSON array to CSV format?

Select JSON as the input format and CSV as the output format. The JSON must be an array of objects where each object represents one row, and the keys of the first object become the CSV header row. Nested objects are not automatically flattened — nested values may appear as JSON strings in the CSV cell. Flatten your JSON first if you need a fully normalized CSV.

What are the limitations when converting between XML and JSON?

XML and JSON have fundamentally different data models. XML supports attributes, namespaces, mixed content (text and child elements interleaved), and repeated sibling elements with the same tag name. JSON does not. The converter applies a common but opinionated mapping — for example, repeated XML elements may become a JSON array, and XML attributes may merge with element text. Always verify the output for complex XML documents.

Can this converter handle large CSV or YAML files?

The tool processes data in-browser, so practical limits depend on available memory in your browser tab. For files larger than a few megabytes, the conversion may slow noticeably or cause the page to become unresponsive. For large-scale data transformation, use server-side tooling: Python’s pandas for CSV, pyyaml for YAML, or jq for JSON.