Data formats

YAML to JSON

Convert YAML configs and manifests into JSON for tools that only speak JSON.

YAML is human-friendly for Kubernetes, CI config, and app settings; JSON is the lingua franca of many APIs and browsers. Paste YAML and get strict JSON you can feed to validators, linters, or JavaScript. After editing, you can convert back with JSON to YAML on this hub.

Similar tools

Quick links to related utilities—same workflow, different input or output.

FAQs

Which YAML features are supported?

Common YAML 1.2 constructs work for typical config. Exotic tags or custom types may not map cleanly—validate important configs in your deployment pipeline.

Will anchors and aliases expand?

The parser resolves common alias patterns into JSON-friendly output; very complex graphs may need a dedicated YAML toolchain.

Should I paste secrets?

Never paste production credentials into any online converter. Use local tools or masked samples.

Why does JSON look different from my YAML?

JSON has stricter quoting and no comments. Structural data should match; formatting will differ.

General

Do these tools send my data to Exemplar’s servers?

By default, conversion and formatting run entirely in your browser. Nothing is uploaded to Exemplar for normal paste-and-transform workflows. Tools that deliberately open an external service (for example, a third-party speed test) are called out on the page.

Do I need an account or install anything?

No account is required. Everything runs in the browser—there is nothing to install for these utilities. They complement the Exemplar platform but work standalone.

Are these utilities open-source or the same as other sites?

These pages are built for Exemplar’s audience (developers working with APIs, config, and ops data). Behavior may differ slightly from other online tools; always verify critical output in your own environment.

Are there size or performance limits?

Very large inputs can slow down or crash the tab—especially for images, huge JSON, or multi‑MB HAR files. For production-scale data, prefer local CLI tools, streaming parsers, or your own pipelines.

Can I use output in production?

Yes, when you have validated it. Parsers and formatters here aim to be helpful for everyday tasks but are not a substitute for tests, schema validation, or security review where it matters.

Where can I read more about privacy?

See our Privacy policy at /privacy for how exemplar.dev handles site analytics and general data practices.