Is the generated YAML always valid?

Yes. It's built directly as a JavaScript object using randomly chosen field names and values, then serialized with the same YAML stringifier every other tool on this site uses, so the output is guaranteed to parse successfully every time.

Can I control how deeply nested the output is?

Yes, the nesting depth option controls how many levels of objects and lists can appear below the top level, from 0 (a single flat mapping) up to 3 (several layers of nested structure), letting you generate anything from a simple flat config to a more realistic, deeply nested document.

Where do the field names and values come from?

Field names are drawn from a small pool of common, realistic-sounding keys, `id`, `name`, `email`, `role`, `tags`, and similar, and values are a mix of sample strings, random numbers, booleans, and nulls, chosen to look like plausible application data rather than meaningless placeholder text.

Will regenerating produce the same output twice?

No, by design. Each click of Regenerate (or each change to the depth or key-count options) produces a fresh random document, so you can quickly get several different samples without leaving the page.

Random YAML Generator - Generate Sample YAML Online

Overview

Introduction

Testing a YAML parser, seeding a demo, or exploring how a tool handles nested config often just needs some plausible-looking YAML, not any particular real data. This generator produces exactly that: random, realistic-looking documents with configurable depth and breadth, ready to copy in one click.

Every generated document is built as a real JavaScript object first and serialized through the same YAML writer used elsewhere on this site, so unlike hand-typed placeholder text, the output is always guaranteed to be valid, parseable YAML.

What Is Random YAML Generator?

A random YAML generator constructs a JavaScript object using randomly selected field names (drawn from a pool of realistic keys like `id`, `name`, and `email`) and randomly typed values (strings, numbers, booleans, and nulls), then serializes it as block-style YAML.

The nesting depth and number of keys per level are both configurable, so you can generate anything from a single flat mapping to a document with several layers of nested objects and lists.

How Random YAML Generator Works

Starting from your chosen depth, the generator recursively builds a random value: at each level it randomly decides whether to produce a scalar, a list of further random values, or a nested mapping, stopping once the requested depth is exhausted.

The resulting object is passed through the same `stringify()` call the YAML Formatter uses, so the output's indentation and quoting conventions match every other tool on this site.

When To Use Random YAML Generator

Use it when you need quick sample data to test a YAML parser, a config loader, or a UI that renders YAML, without hand-writing a fixture.

It's also handy for demos and screenshots where the specific data doesn't matter, only that it looks like a real, structured document.

Often used alongside YAML Editor & Viewer and YAML Validator.

Features

Advantages

Always produces valid, parseable YAML.
Configurable nesting depth and key count for different testing needs.
Uses realistic-looking field names rather than meaningless placeholder text.
One click regenerates a completely fresh sample.

Limitations

Field names and values are drawn from a fixed, general-purpose pool, not tailored to any specific domain or schema.
There's no seed option; output isn't reproducible between regenerations.
This generates structurally random data, not YAML that conforms to any particular real-world schema (like a Kubernetes manifest).

Examples

Flat mapping (depth 0)

Input

Depth: 0, Keys per level: 3

Output

id: 482
name: Ada Lovelace
active: true

With depth 0, every value is a scalar, no nested objects or lists appear.

Best Practices & Notes

Best Practices

Use a lower depth and key count for quick, readable samples; increase both to stress-test a parser with more complex structure.
Regenerate a few times if the first sample happens to look too sparse or too repetitive for your use case.
Pair with the YAML Validator or Formatter to explore how those tools behave against realistic, varied structure.

Developer Notes

Generation happens client-side using `Math.random()`, and is deliberately deferred to a `useEffect` after mount rather than computed during the component's initial render, since this app is statically exported and a value produced during server-side prerendering would otherwise mismatch what the client generates on hydration. The random object is built recursively, capped at a maximum depth of 4 and a maximum of 8 keys per level regardless of the requested options.

Random YAML Generator Use Cases

Generating fixture data for a YAML parser's test suite
Producing sample config for a demo or screenshot
Stress-testing a YAML-consuming tool with varied nesting depth

Common Mistakes

Expecting generated output to match a specific real-world schema, like a Kubernetes or CI config, rather than generic structured data.
Assuming regeneration is reproducible, when each click intentionally produces a new random result.

Tips

Start with a low depth to see the field pool clearly, then increase it once you're ready for more realistic nesting.
Send the output straight to the YAML Validator or Formatter using the send-to-tool menu to continue working with a sample immediately.

Random YAML Generator