Do converters support deeply nested data?
Some nested values are stringified, but the converters are best for simple, readable data structures.
Data Converters
Data conversion is a common bridge between tools. APIs often return JSON, spreadsheets export CSV, configuration files may use YAML, and some integrations still expect XML. A converter helps you move small datasets and examples between those formats without writing a one-off script every time.
The Orlixio converter tools are designed for practical developer workflows: turn a simple JSON array into CSV, convert CSV headers and rows into JSON objects, create simple XML from JSON, or translate YAML configuration into formatted JSON. Each converter validates the input shape it expects and shows clear errors when the data cannot be converted safely.
These tools are not meant to replace a full ETL pipeline or schema-aware integration layer. They are for quick browser-based transformations, debugging, documentation examples, fixtures, and small data moves where clarity matters more than heavy automation.
Tools
Existing URLs remain active, and new tools are organized under clean category paths.
Convert a simple JSON array of objects to CSV in your browser and copy the result.
Open toolConvert CSV text to JSON array output in your browser with a simple online converter.
Open toolConvert JSON to simple XML in your browser and copy the generated XML output.
Open toolConvert YAML to formatted JSON in your browser with a simple online YAML to JSON tool.
Open toolMove API result arrays into spreadsheets.
Create JSON fixtures from CSV exports.
Generate XML examples from JSON payloads.
Convert YAML config snippets to JSON for stricter tools.
7 min read
A practical guide to converting JSON arrays of objects into CSV for spreadsheets, reporting, and imports.
7 min read
A practical workflow for converting CSV into JSON arrays for fixtures, APIs, and frontend prototypes.
8 min read
JSON and YAML both describe structured data, but they make different tradeoffs around readability, strictness, and tooling.
8 min read
JSON and XML both carry structured data, but their strengths differ across modern APIs, enterprise integrations, and document formats.
9 min read
CSV is compact and tabular; JSON is structured and nested. The right choice depends on shape, tooling, and audience.
9 min read
JSON is compact and maps naturally to objects; XML supports attributes, namespaces, and document-style markup.
9 min read
YAML is friendly for hand-written config; JSON is stricter and easier for machines to parse consistently.
9 min read
CSV is excellent for simple tables, exports, and spreadsheets, but weak for nested data and strict typing.
9 min read
Flattening turns nested paths into flat keys, which helps with tables but can lose structure if rules are unclear.
Some nested values are stringified, but the converters are best for simple, readable data structures.
Yes, when the top-level JSON value is an array of objects.
The CSV to JSON tool keeps values as strings so the result is predictable.
The tools run in the browser and do not require a backend or database.